Enviar pesquisa
Carregar
Comparative study on different pin geometries of tool profile in friction stir welding
•
2 gostaram
•
715 visualizações
IAEME Publication
Seguir
Tecnologia
Negócios
Denunciar
Compartilhar
Denunciar
Compartilhar
1 de 9
Baixar agora
Baixar para ler offline
Recomendados
Probability of Failure of Column and Beam in Steel Structure due to Plan Irre...
Probability of Failure of Column and Beam in Steel Structure due to Plan Irre...
IRJET Journal
Analysis of two wheeler suspension Spring by Using FEA for Different Materials
Analysis of two wheeler suspension Spring by Using FEA for Different Materials
IRJET Journal
Study of Effect of Friction on the Pin of Pantograph Mechanism
Study of Effect of Friction on the Pin of Pantograph Mechanism
ijtsrd
IRJET- Pushover Analysis of Vertically Regular and Irregular Steel Structure
IRJET- Pushover Analysis of Vertically Regular and Irregular Steel Structure
IRJET Journal
IRJET- Analysis and Performance of Ogrid Lateral Bracing System
IRJET- Analysis and Performance of Ogrid Lateral Bracing System
IRJET Journal
Design and Analysis of Crane Hook with Different Materials
Design and Analysis of Crane Hook with Different Materials
IRJET Journal
Flexible ac transmission systems (FACTS), network congestion, Ordinal Optimiz...
Flexible ac transmission systems (FACTS), network congestion, Ordinal Optimiz...
IJERA Editor
A study on plastic hinge formation in rc frame by nonlinear static analysis
A study on plastic hinge formation in rc frame by nonlinear static analysis
eSAT Journals
Recomendados
Probability of Failure of Column and Beam in Steel Structure due to Plan Irre...
Probability of Failure of Column and Beam in Steel Structure due to Plan Irre...
IRJET Journal
Analysis of two wheeler suspension Spring by Using FEA for Different Materials
Analysis of two wheeler suspension Spring by Using FEA for Different Materials
IRJET Journal
Study of Effect of Friction on the Pin of Pantograph Mechanism
Study of Effect of Friction on the Pin of Pantograph Mechanism
ijtsrd
IRJET- Pushover Analysis of Vertically Regular and Irregular Steel Structure
IRJET- Pushover Analysis of Vertically Regular and Irregular Steel Structure
IRJET Journal
IRJET- Analysis and Performance of Ogrid Lateral Bracing System
IRJET- Analysis and Performance of Ogrid Lateral Bracing System
IRJET Journal
Design and Analysis of Crane Hook with Different Materials
Design and Analysis of Crane Hook with Different Materials
IRJET Journal
Flexible ac transmission systems (FACTS), network congestion, Ordinal Optimiz...
Flexible ac transmission systems (FACTS), network congestion, Ordinal Optimiz...
IJERA Editor
A study on plastic hinge formation in rc frame by nonlinear static analysis
A study on plastic hinge formation in rc frame by nonlinear static analysis
eSAT Journals
Modelling and stress analysis of column bracket for rotary jib crane
Modelling and stress analysis of column bracket for rotary jib crane
IAEME Publication
Comparison of stress between winkler bach theory and
Comparison of stress between winkler bach theory and
eSAT Publishing House
IRJET-Analysis of Load Factors and Modes of Failure on Spur Gear
IRJET-Analysis of Load Factors and Modes of Failure on Spur Gear
IRJET Journal
MACHINE DESIGN QUESTION BANK ...
MACHINE DESIGN QUESTION BANK ...
musadoto
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - II NOTES
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - II NOTES
ASHOK KUMAR RAJENDRAN
IRJET- Seismic Analysis of Shear Wall Optimization for Multi-Storey Building
IRJET- Seismic Analysis of Shear Wall Optimization for Multi-Storey Building
IRJET Journal
ME6601 DESIGN OF TRANSMISSION SYSTEMS TWO MARK QUESTION & ANSWERS
ME6601 DESIGN OF TRANSMISSION SYSTEMS TWO MARK QUESTION & ANSWERS
ASHOK KUMAR RAJENDRAN
IRJET - Parametric Study of RCC, Steel and Composite Structures Under Seismic...
IRJET - Parametric Study of RCC, Steel and Composite Structures Under Seismic...
IRJET Journal
IRJET- Kinematic Design Methodology of Vertical Coil Tong
IRJET- Kinematic Design Methodology of Vertical Coil Tong
IRJET Journal
30120140501009
30120140501009
IAEME Publication
Effect of process parameters on tensile strength in gas metal arc welded join...
Effect of process parameters on tensile strength in gas metal arc welded join...
eSAT Journals
Effect of process parameters on tensile strength in gas metal arc welded join...
Effect of process parameters on tensile strength in gas metal arc welded join...
eSAT Publishing House
An Experimental Study to Predict Optimum Weld Bead Geometry through Effect of...
An Experimental Study to Predict Optimum Weld Bead Geometry through Effect of...
IJMER
Reliability Analysis of Concrete Filled Steel Tube Columns by FOSM and Subset...
Reliability Analysis of Concrete Filled Steel Tube Columns by FOSM and Subset...
IRJET Journal
Study on Behavior of Tubular Diagrid Structures During Seismic Excitation
Study on Behavior of Tubular Diagrid Structures During Seismic Excitation
IRJET Journal
Lp3519841988
Lp3519841988
IJERA Editor
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - I NOTES
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - I NOTES
ASHOK KUMAR RAJENDRAN
IRJET- Experimental Parametric Study of Diagrid Structure under Seismic Forces
IRJET- Experimental Parametric Study of Diagrid Structure under Seismic Forces
IRJET Journal
Action event retrieval from cricket video using audio energy feature for even...
Action event retrieval from cricket video using audio energy feature for even...
IAEME Publication
A novel technique in spiht for medical image compression
A novel technique in spiht for medical image compression
IAEME Publication
Design of area optimized aes encryption core using pipelining technology
Design of area optimized aes encryption core using pipelining technology
IAEME Publication
Diversity techniques for wireless communication
Diversity techniques for wireless communication
IAEME Publication
Mais conteúdo relacionado
Mais procurados
Modelling and stress analysis of column bracket for rotary jib crane
Modelling and stress analysis of column bracket for rotary jib crane
IAEME Publication
Comparison of stress between winkler bach theory and
Comparison of stress between winkler bach theory and
eSAT Publishing House
IRJET-Analysis of Load Factors and Modes of Failure on Spur Gear
IRJET-Analysis of Load Factors and Modes of Failure on Spur Gear
IRJET Journal
MACHINE DESIGN QUESTION BANK ...
MACHINE DESIGN QUESTION BANK ...
musadoto
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - II NOTES
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - II NOTES
ASHOK KUMAR RAJENDRAN
IRJET- Seismic Analysis of Shear Wall Optimization for Multi-Storey Building
IRJET- Seismic Analysis of Shear Wall Optimization for Multi-Storey Building
IRJET Journal
ME6601 DESIGN OF TRANSMISSION SYSTEMS TWO MARK QUESTION & ANSWERS
ME6601 DESIGN OF TRANSMISSION SYSTEMS TWO MARK QUESTION & ANSWERS
ASHOK KUMAR RAJENDRAN
IRJET - Parametric Study of RCC, Steel and Composite Structures Under Seismic...
IRJET - Parametric Study of RCC, Steel and Composite Structures Under Seismic...
IRJET Journal
IRJET- Kinematic Design Methodology of Vertical Coil Tong
IRJET- Kinematic Design Methodology of Vertical Coil Tong
IRJET Journal
30120140501009
30120140501009
IAEME Publication
Effect of process parameters on tensile strength in gas metal arc welded join...
Effect of process parameters on tensile strength in gas metal arc welded join...
eSAT Journals
Effect of process parameters on tensile strength in gas metal arc welded join...
Effect of process parameters on tensile strength in gas metal arc welded join...
eSAT Publishing House
An Experimental Study to Predict Optimum Weld Bead Geometry through Effect of...
An Experimental Study to Predict Optimum Weld Bead Geometry through Effect of...
IJMER
Reliability Analysis of Concrete Filled Steel Tube Columns by FOSM and Subset...
Reliability Analysis of Concrete Filled Steel Tube Columns by FOSM and Subset...
IRJET Journal
Study on Behavior of Tubular Diagrid Structures During Seismic Excitation
Study on Behavior of Tubular Diagrid Structures During Seismic Excitation
IRJET Journal
Lp3519841988
Lp3519841988
IJERA Editor
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - I NOTES
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - I NOTES
ASHOK KUMAR RAJENDRAN
IRJET- Experimental Parametric Study of Diagrid Structure under Seismic Forces
IRJET- Experimental Parametric Study of Diagrid Structure under Seismic Forces
IRJET Journal
Mais procurados
(18)
Modelling and stress analysis of column bracket for rotary jib crane
Modelling and stress analysis of column bracket for rotary jib crane
Comparison of stress between winkler bach theory and
Comparison of stress between winkler bach theory and
IRJET-Analysis of Load Factors and Modes of Failure on Spur Gear
IRJET-Analysis of Load Factors and Modes of Failure on Spur Gear
MACHINE DESIGN QUESTION BANK ...
MACHINE DESIGN QUESTION BANK ...
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - II NOTES
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - II NOTES
IRJET- Seismic Analysis of Shear Wall Optimization for Multi-Storey Building
IRJET- Seismic Analysis of Shear Wall Optimization for Multi-Storey Building
ME6601 DESIGN OF TRANSMISSION SYSTEMS TWO MARK QUESTION & ANSWERS
ME6601 DESIGN OF TRANSMISSION SYSTEMS TWO MARK QUESTION & ANSWERS
IRJET - Parametric Study of RCC, Steel and Composite Structures Under Seismic...
IRJET - Parametric Study of RCC, Steel and Composite Structures Under Seismic...
IRJET- Kinematic Design Methodology of Vertical Coil Tong
IRJET- Kinematic Design Methodology of Vertical Coil Tong
30120140501009
30120140501009
Effect of process parameters on tensile strength in gas metal arc welded join...
Effect of process parameters on tensile strength in gas metal arc welded join...
Effect of process parameters on tensile strength in gas metal arc welded join...
Effect of process parameters on tensile strength in gas metal arc welded join...
An Experimental Study to Predict Optimum Weld Bead Geometry through Effect of...
An Experimental Study to Predict Optimum Weld Bead Geometry through Effect of...
Reliability Analysis of Concrete Filled Steel Tube Columns by FOSM and Subset...
Reliability Analysis of Concrete Filled Steel Tube Columns by FOSM and Subset...
Study on Behavior of Tubular Diagrid Structures During Seismic Excitation
Study on Behavior of Tubular Diagrid Structures During Seismic Excitation
Lp3519841988
Lp3519841988
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - I NOTES
ME6503 - DESIGN OF MACHINE ELEMENTS UNIT - I NOTES
IRJET- Experimental Parametric Study of Diagrid Structure under Seismic Forces
IRJET- Experimental Parametric Study of Diagrid Structure under Seismic Forces
Destaque
Action event retrieval from cricket video using audio energy feature for even...
Action event retrieval from cricket video using audio energy feature for even...
IAEME Publication
A novel technique in spiht for medical image compression
A novel technique in spiht for medical image compression
IAEME Publication
Design of area optimized aes encryption core using pipelining technology
Design of area optimized aes encryption core using pipelining technology
IAEME Publication
Diversity techniques for wireless communication
Diversity techniques for wireless communication
IAEME Publication
Experimental study of evaporation in a tubular solar still
Experimental study of evaporation in a tubular solar still
IAEME Publication
Concurrent engineering an effective engineering management strategy
Concurrent engineering an effective engineering management strategy
IAEME Publication
Calculation of the undetermined static reactions for the articulated pl
Calculation of the undetermined static reactions for the articulated pl
IAEME Publication
Query clip genre recognition using tree pruning technique for video retrieval
Query clip genre recognition using tree pruning technique for video retrieval
IAEME Publication
Performance optimization and comparison of variable parameter using genetic
Performance optimization and comparison of variable parameter using genetic
IAEME Publication
Monitoring and analysis of reliaibility of electrical distribution system
Monitoring and analysis of reliaibility of electrical distribution system
IAEME Publication
Final paperenhancing distribution system through the use of real time etherne...
Final paperenhancing distribution system through the use of real time etherne...
Genc Gjergjani
Destaque
(11)
Action event retrieval from cricket video using audio energy feature for even...
Action event retrieval from cricket video using audio energy feature for even...
A novel technique in spiht for medical image compression
A novel technique in spiht for medical image compression
Design of area optimized aes encryption core using pipelining technology
Design of area optimized aes encryption core using pipelining technology
Diversity techniques for wireless communication
Diversity techniques for wireless communication
Experimental study of evaporation in a tubular solar still
Experimental study of evaporation in a tubular solar still
Concurrent engineering an effective engineering management strategy
Concurrent engineering an effective engineering management strategy
Calculation of the undetermined static reactions for the articulated pl
Calculation of the undetermined static reactions for the articulated pl
Query clip genre recognition using tree pruning technique for video retrieval
Query clip genre recognition using tree pruning technique for video retrieval
Performance optimization and comparison of variable parameter using genetic
Performance optimization and comparison of variable parameter using genetic
Monitoring and analysis of reliaibility of electrical distribution system
Monitoring and analysis of reliaibility of electrical distribution system
Final paperenhancing distribution system through the use of real time etherne...
Final paperenhancing distribution system through the use of real time etherne...
Semelhante a Comparative study on different pin geometries of tool profile in friction stir welding
30120140502018
30120140502018
IAEME Publication
Optimization of the welding parameters in resistance spot welding
Optimization of the welding parameters in resistance spot welding
IAEME Publication
30120130406005
30120130406005
IAEME Publication
TENSILE BEHAVIOUR OF ALUMINIUM PLATES (5083) WELDED BY FRICTION STIR WELDING
TENSILE BEHAVIOUR OF ALUMINIUM PLATES (5083) WELDED BY FRICTION STIR WELDING
IAEME Publication
30320130402004
30320130402004
IAEME Publication
HEAT FLOW PREDICTION IN FRICTION STIR WELDED ALUMINIUM ALLOY 1100
HEAT FLOW PREDICTION IN FRICTION STIR WELDED ALUMINIUM ALLOY 1100
IAEME Publication
Comparative finite element analysis of metallic spur gear and hybrid spur gear
Comparative finite element analysis of metallic spur gear and hybrid spur gear
IAEME Publication
OPTIMIZATION OF ELECTRODE WEAR RATE ON ELECTRICAL DISCHARGE MACHINING AISI 30...
OPTIMIZATION OF ELECTRODE WEAR RATE ON ELECTRICAL DISCHARGE MACHINING AISI 30...
IAEME Publication
IRJET- Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...
IRJET- Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...
IRJET Journal
Ijifr v4-e2-007
Ijifr v4-e2-007
vikas sharma
Heat flow prediction in friction stir welded aluminium alloy 1100
Heat flow prediction in friction stir welded aluminium alloy 1100
IAEME Publication
Determination of residual stresses of welded joints prepared under
Determination of residual stresses of welded joints prepared under
IAEME Publication
Experimental Investigation for Mechanical Properties of Aluminium Alloy Al 60...
Experimental Investigation for Mechanical Properties of Aluminium Alloy Al 60...
IRJET Journal
30120130405027
30120130405027
IAEME Publication
DESIGN AND OPTIMIZATION OF ELECTROSTATIC PRECIPITATOR USING FINITE ELEMENT AN...
DESIGN AND OPTIMIZATION OF ELECTROSTATIC PRECIPITATOR USING FINITE ELEMENT AN...
IAEME Publication
Optimization of FSW Process Parameter to Achieve Maximum Tensile Strength of ...
Optimization of FSW Process Parameter to Achieve Maximum Tensile Strength of ...
IRJET Journal
Effect on Width, Height and Penetration of V-Groove Butt Joint Weld Bead by V...
Effect on Width, Height and Penetration of V-Groove Butt Joint Weld Bead by V...
IRJET Journal
20120140506017
20120140506017
IAEME Publication
A04550105
A04550105
IOSR-JEN
T130201121124
T130201121124
IOSR Journals
Semelhante a Comparative study on different pin geometries of tool profile in friction stir welding
(20)
30120140502018
30120140502018
Optimization of the welding parameters in resistance spot welding
Optimization of the welding parameters in resistance spot welding
30120130406005
30120130406005
TENSILE BEHAVIOUR OF ALUMINIUM PLATES (5083) WELDED BY FRICTION STIR WELDING
TENSILE BEHAVIOUR OF ALUMINIUM PLATES (5083) WELDED BY FRICTION STIR WELDING
30320130402004
30320130402004
HEAT FLOW PREDICTION IN FRICTION STIR WELDED ALUMINIUM ALLOY 1100
HEAT FLOW PREDICTION IN FRICTION STIR WELDED ALUMINIUM ALLOY 1100
Comparative finite element analysis of metallic spur gear and hybrid spur gear
Comparative finite element analysis of metallic spur gear and hybrid spur gear
OPTIMIZATION OF ELECTRODE WEAR RATE ON ELECTRICAL DISCHARGE MACHINING AISI 30...
OPTIMIZATION OF ELECTRODE WEAR RATE ON ELECTRICAL DISCHARGE MACHINING AISI 30...
IRJET- Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...
IRJET- Friction Stir Welding of AA5052& AA6061 Aluminium Alloy by using T...
Ijifr v4-e2-007
Ijifr v4-e2-007
Heat flow prediction in friction stir welded aluminium alloy 1100
Heat flow prediction in friction stir welded aluminium alloy 1100
Determination of residual stresses of welded joints prepared under
Determination of residual stresses of welded joints prepared under
Experimental Investigation for Mechanical Properties of Aluminium Alloy Al 60...
Experimental Investigation for Mechanical Properties of Aluminium Alloy Al 60...
30120130405027
30120130405027
DESIGN AND OPTIMIZATION OF ELECTROSTATIC PRECIPITATOR USING FINITE ELEMENT AN...
DESIGN AND OPTIMIZATION OF ELECTROSTATIC PRECIPITATOR USING FINITE ELEMENT AN...
Optimization of FSW Process Parameter to Achieve Maximum Tensile Strength of ...
Optimization of FSW Process Parameter to Achieve Maximum Tensile Strength of ...
Effect on Width, Height and Penetration of V-Groove Butt Joint Weld Bead by V...
Effect on Width, Height and Penetration of V-Groove Butt Joint Weld Bead by V...
20120140506017
20120140506017
A04550105
A04550105
T130201121124
T130201121124
Mais de IAEME Publication
IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME Publication
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
IAEME Publication
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
IAEME Publication
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
IAEME Publication
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
IAEME Publication
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
IAEME Publication
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
IAEME Publication
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IAEME Publication
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
IAEME Publication
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
IAEME Publication
GANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICE
IAEME Publication
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
IAEME Publication
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
IAEME Publication
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
IAEME Publication
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
IAEME Publication
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
IAEME Publication
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
IAEME Publication
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
IAEME Publication
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
IAEME Publication
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
IAEME Publication
Mais de IAEME Publication
(20)
IAEME_Publication_Call_for_Paper_September_2022.pdf
IAEME_Publication_Call_for_Paper_September_2022.pdf
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONS
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINO
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMY
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...
GANDHI ON NON-VIOLENT POLICE
GANDHI ON NON-VIOLENT POLICE
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENT
Último
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
apidays
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
johnbeverley2021
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
sammart93
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Sandro Moreira
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
Christopher Logan Kennedy
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
apidays
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
Remote DBA Services
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
MIND CTI
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Zilliz
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Orbitshub
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Rustici Software
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
Elevate Developer Efficiency & build GenAI Application with Amazon Q
Elevate Developer Efficiency & build GenAI Application with Amazon Q
Bhuvaneswari Subramani
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
UiPathCommunity
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
apidays
Último
(20)
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Elevate Developer Efficiency & build GenAI Application with Amazon Q
Elevate Developer Efficiency & build GenAI Application with Amazon Q
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Comparative study on different pin geometries of tool profile in friction stir welding
1.
International Journal of
Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 2, March - April (2013) © IAEME 245 COMPARATIVE STUDY ON DIFFERENT PIN GEOMETRIES OF TOOL PROFILE IN FRICTION STIR WELDING USING ARTIFICIAL NEURAL NETWORKS D. Kanakaraja 1 , P. Hema 2 , K. Ravindranath 3 1 PG Student 2 Assistant professor 3 Professor Mechanical Engineering Department, Sri Venkateswara College of Engineering, S.V.University, Tirupati, Andhra pradesh- 517502, India ABSTRACT Friction stir welding (FSW) is an innovative solid state joining technique and has been employed in aerospace, rail, automotive and marine industries for joining aluminium, magnesium, zinc and copper alloys. The FSW process parameters such as tool rotational speed, welding speed, axial force etc., play a major role in deciding the weld quality. The present work is a comparitive study on different pin geometries of FSW tool using ANN in MATLAB. This work focuses on two methods such as Artificial neural networks and Regression analysis to predict the tensile strength of friction stir welded 6061 aluminium alloy. An artificial neural network (ANN) model was developed for the analysis of the friction stir welding parameters of AA6061 plates. The Tensile strength of weld joints were predicted by taking the parameters Tool rotation speed, Weld speed and Axial force as a function. A comparison was made between measured and predicted data. A regression model is also developed and the values obtained for the response Tensile strengths are compared with measured values. The graphs were plotted between Regression predicted values and Experimental data to show the accuracy of experimental results. It was found that among these methods ANN model is easier and effective methodology in order to find out the performance output and welding conditions. Key words: Friction stir welding, Aluminium alloy, Tensile Strength, Artificial neural networks, Regression analysis INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY (IJMET) ISSN 0976 – 6340 (Print) ISSN 0976 – 6359 (Online) Volume 4, Issue 2, March - April (2013), pp. 245-253 © IAEME: www.iaeme.com/ijmet.asp Journal Impact Factor (2013): 5.7731 (Calculated by GISI) www.jifactor.com IJMET © I A E M E
2.
International Journal of
Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 2, March - April (2013) © IAEME 246 I. INTRODUCTION Friction stir welding (FSW) is a solid state method developed by the welding institute (TWI) (Thomas, 1991) and now being increasingly used in the welding of aluminum. Aluminum alloys find wide applications in aerospace, automobile industries, in ship building, in train wagons and trams, in offshore structures and in bridge constructions due to its light weight and higher strength to weight ratio (Dawes, 1995). FSW is a innovative solid phase welding process in which there is no melting of the material [1]. Hence, FSW is preferred over the commonly used fusion welding techniques for the advantages such as: there are no voids and cracking in the weld, there is no distortion of the work piece, no need of filler materials, no costly weld preparation required, no shielding gas is required during FSW process (Thomas et al., 1997). It is a clean and environment friendly process because there are no harmful effects like arc formation, radiation, release of toxic gas etc. FSW is perhaps the most remarkable and potentially useful welding technique. However, during FSW process using inappropriate welding parameters can cause defects in the joint and deteriorate the mechanical properties of the FSW joints (Cavaliere et al., 2008). Although FSW consistently gives high quality welds, proper use of the process and control of number of parameters is needed to achieve this. To produce the best weld quality, theses parameters have to be determined individually for each new component and alloy (Wei et al., 2007). The quality of friction stir welded joint is controlled by three welding parameters, these are Tool’s Rotation Speed, Welding Speed and Axial Force. In FSW a rotating tool moves along the joint interface, generating heat and resulting in a re-circulating flow of plasticized material near the tool surface [2-5]. This plasticized material is subjected to extrusion by the tool pin rotational and traverse movements leading to the formation of the so called stir zone. The formation of the stir zone is affected by the material flow behavior under the action of the rotating tool. The FSW process is applied presently for welding aluminum and magnesium alloys as well as copper, steel, composites and dissimilar materials [6-10]. Welding of aluminum alloy especially heat treatable wrought aluminum alloy of AA6XXX aluminum by FSW produces better quality [11]. II. PLAN OF INVESTIGATION This investigation was planned to be carried out in following steps (i) Identifying the important process parameter and finding the range of process parameter such as tool rotational speed, welding speed and Axial force. (ii) Collection of experimental data. (iii) Developing of Regression model (Developing mathematical model and checking the adequacy) and predict the Tensile strength as the function of input parameters. (iv) Developing ANN model, Training and Testing of Neural Network to predict the Tensile Strength values. (v) Comparing and concluding about different pin profiles. The important processes parameters (Tool rotational speed, welding speed, Axial force) and tool probe (pin) geometry were identified based on series of trials and author’s earlier study. Parameters such a way that the friction stirred welded joint should be free from any visible external defect. The selected process parameters with their levels are given in Table 1. The experiment was based on three factors with three levels of full factorial experimental design. As prescribed in the Experimental design matrix twenty seven joints were carried out using Two different probe geometry by considering three levels of process parameter, namely tool rotational speed and welding speed as given in the Table 2. It is to be
3.
International Journal of
Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 2, March - April (2013) © IAEME 247 further noted that the experiments were conducted with a constant tool rotational speed, welding speed and axial load for two pin profiles. Table 1: Process parameters and their levels taken for AA6061 material Level Tool speed (rpm) Welding speed (mm/min) Axial force (K.N) 1 1200 48 1.5 2 1600 60 2.0 3 2000 72 2.5 Table 2 Experimental design matrix and results Trial no. Coded value Real value Tensile strength (N/mm2) N S F Tool speed (rpm) Welding speed (mm/min) Axial force(K.N ) For Conical pin For Triangular pin 1 1 1 1 1200 48 1.5 61.4 113.39 2 1 1 1 1200 48 2 66.7 172.47 3 1 1 1 1200 48 2.5 40.5 171.11 4 1 2 2 1200 60 1.5 58.3 187.36 5 1 2 2 1200 60 2 45.3 101.28 6 1 2 2 1200 60 2.5 38.8 168.08 7 1 3 3 1200 72 1.5 64.6 129.77 8 1 3 3 1200 72 2 65.3 44.61 9 1 3 3 1200 72 2.5 40.8 153.19 10 2 1 2 1600 48 1.5 59.6 142.25 11 2 1 2 1600 48 2 75 184.14 12 2 1 2 1600 48 2.5 79.5 156.46 13 2 2 3 1600 60 1.5 60.7 181.92 14 2 2 3 1600 60 2 65.3 156.77 15 2 2 3 1600 60 2.5 62.9 120.43 16 2 3 1 1600 72 1.5 65.6 175.49 17 2 3 1 1600 72 2 62.7 135.82 18 2 3 1 1600 72 2.5 75.6 88.92 19 3 1 3 2000 48 1.5 97.8 127.11 20 3 1 3 2000 48 2 86.2 91.82 21 3 1 3 2000 48 2.5 75.57 129.27 22 3 2 1 2000 60 1.5 86.08 137.86 23 3 2 1 2000 60 2 73.8 119.45 24 3 2 1 2000 60 2.5 85.71 108.88 25 3 3 2 2000 72 1.5 90.22 109.25 26 3 3 2 2000 72 2 89.5 124.76 27 3 3 2 2000 72 2.5 88.3 89.72
4.
International Journal of
Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 2, March - April (2013) © IAEME 248 III. PREDICTION OF TENSILE STRENGTH A. Development of mathematical model by Regression analysis Tensile strength of the joints is the function of rotational speed, welding speed, and axial force and it can be expressed as Y = f (N, S, F) ---------(1) Where Y-The response, N- Rotational speed (rpm), S- Welding Speed (mm/s) , F - Axial Force (tones). For the three factors, the selected polynomial (regression) could be expressed as Y = k+ aN + bS + cF ----------(2) Where k is the free term of the regression equation, the coefficients a, b, and c are linear terms Table 3: Estimated regression coefficients of mathematical models Regression coefficients Tensile Strength N/mm2 For Conical Pin For Triangular Pin K -2.65 8.83 A 0.961 -0.197 B -0.014 -0.581 C -0.232 -0.228 MINITAB 15 Software Packages is used to calculate the values of those coefficients for different responses and is presented in Table 3. After determining the coefficients, the mathematical models are developed. The developed final mathematical model equations in the coded form are given below: For Conical pin profile Tensile strength = - 2.65 + 0.961 (N) - 0.014 (S) - 0.232(F) --------- (3) For Triangular pin profile Tensile strength = 8.83 - 0.197 (N) - 0.581 (S) - 0.228 (F) ----------(4) The validity of regression models developed is tested by drawing scatter diagrams. Typical scatter diagrams for all the models are presented in Figures 6 and 7. The observed values and predicted values of the responses are scattered close to the 45° line, indicating an almost perfect fit of the developed empirical models [12]
5.
International Journal of
Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 2, March - April (2013) © IAEME 249 Figure 2: Scatter diagram for conical pin Figure 3: Scatter digram for Triangular pin B. Artificial Neural Network (ANN) ANNs are computational models, which replicate the function of a biological network, composed of neurons and are used to solve complex functions in various applications. Neural networks consist of simple synchronous processing elements that are inspired by the biological nerve systems. The basic unit in the ANN is the neuron. Neurons are connected to each other by links known as synapses; associated with each synapse there is a weight factor. Details on the neural network modeling approach are given in elsewhere[13]. One of the most popular learning algorithms is the back-propagation (BP) algorithm. In this present study, BP algorithm is used with a single hidden layer improved with numerical optimization techniques called Levenberg Marquardt (LM) [14]. The architecture of ANN used in this study is 3-20 -1, 3 corresponding to the input values, 20 to the number of hidden layer neurons and 1 to the output. The topology architecture of feed-forward three-layered back propagation neural network is illustrated in Figure 4 below. Figure 4: Architecture of feed forward three layered back propagation neural network 30 50 70 90 110 30 50 70 90 RegressionpredictedT.Svalues Experimental T.S values 40 60 80 100 120 140 160 180 200 40 60 80 100 120 140 160 180 200 RegressionpredictedT.Svalues Experimental T.S values
6.
International Journal of
Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 2, March - April (2013) © IAEME 250 MATLAB 7.1 has been used for training the network model for tensile strength prediction. The training parameters used in this investigation are shown in Table.5 The neural network described in this paper, after successful training, will be used to predict the tensile strength of friction stir welded joints of 6061 aluminium alloy within the trained range. Table 4: Training parameters used in ANN Number of input nodes 3 Number of hidden nodes 20 Number of output nodes 1 Learning rule Levenburg marquatt Number of epochs 5000 Mu 0.01 IV. ANN RESULTS The results obtained after training and testing of Artificial Neural Networks are shown in the tables below Table 5: Test conditions at different hidden neurons (TS) for Conical pin profile Tool speed (rpm) Welding speed (mm/min) Axial force (KN) Exp. Value N/mm2 Predicted Tensile Strength N/mm2 @ 20N DEV @25N DEV @30N DEV @35N DEV 1200 48 2.5 40.5 64.19 -0.585 65.01 -0.605 60.62 -0.497 48.08 -0.187 1200 60 2.5 38.8 71.46 -0.842 42.62 -0.098 59.85 -0.543 58.08 -0.497 1200 72 2.5 40.8 78.16 -0.916 55.63 -0.363 66.82 -0.638 64.95 -0.592 1600 48 1.5 59.6 73.38 -0.231 85.22 -0.430 72.85 -0.222 64.38 -0.080 1600 60 1.5 60.7 72.84 -0.200 69.09 -0.138 65.25 -0.075 64.94 -0.070 2000 48 2.5 75.57 86.58 -0.146 89.72 -0.187 87.91 -0.163 78.15 -0.034 2000 60 2 73.8 89.02 -0.206 89.09 -0.207 87.66 -0.188 86.15 -0.167 AVERAGES 55.68 76.51 -0.447 70.91 -0.290 71.56 -0.332 66.39
7.
International Journal of
Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 2, March - April (2013) © IAEME 251 Table 6: Test conditions at different hidden neurons (TS) for Triangular pin profile Comparison of Conical pin and Triangular pin profile tools Figure 5: Conical pin profile vs Triangular pin profile experimental T.S values(N/mm2 ) From the above plot it is observed that Triangular pin profile tool is better than conical pin profile tool which yields more (2 times) Tensile strength. Tool spee d (rpm) Welding speed (mm/min) Axial force (KN) Exp. Value N/mm2 Predicted Tensile Strength N/mm2 @ 20N DEV @25N DEV @30N DEV @35N DEV 1200 60 2 101.28 174.76 -0.726 170.96 -0.688 152.03 -0.501 140.22 -0.384 1200 72 2 44.61 141.48 -2.171 143.12 -2.208 143.03 -2.206 125.42 -1.811 1600 60 2.5 120.43 155.83 -0.294 119.1 0.011 138.34 -0.149 131.54 -0.092 1600 72 2.5 88.92 134.76 -0.516 173.64 -0.953 134.74 -0.515 90.83 -0.021 2000 48 2 91.82 125.23 -0.364 137.34 -0.496 124.31 -0.354 119.23 -0.299 2000 60 2.5 108.88 124.91 -0.147 119.6 -0.098 126.25 -0.160 115.57 -0.061 2000 72 2.5 89.72 126.26 -0.407 118.49 -0.321 131.78 -0.469 118.68 -0.323 AVERAGES 92.23 140.46 -0.661 140.32 -0.679 135.78 -0.622 120.21
8.
International Journal of
Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 2, March - April (2013) © IAEME 252 VI CONCLUSIONS This paper has describes two models for Predicting the Tensile strength of friction stir welded AA6061 aluminium alloy using Regression analysis and Artificial Neural Network(ANN). From this investigation, the following important conclusions are derived. 1) a regression model is developed and the values obtained for the response strengths are compared with measured values. it shows that the models are adequate without any violation of independence or constant assumption. 2) ANN model has been developed for prediction of strength as a function of welding parameters. The model has been proved to be successful in terms of agreement with experimental results. The proposed model can be used in optimization of welding process for efficient and economic production by forecasting the strength in welding operations. 3) The results that are obtained for the response Tensile strength in ANN model and Regression analysis are compared with experimental data. Among these methods ANN model is easier and effective methodology in order to find out the performance output and welding conditions. 4) Finally it is observed that Triangular pin profile is better than Conical pin profile because the obtained tensile strength values are higher for Friction stir welded joint. REFERENCES 1. Ratnesh K. Shukla and Pravin K. Shah, “Comparative study of friction stir welding and tungsten inert gas welding process” Indian Journal of Science and Technology Vol. 3 No. 6 (June 2010) ISSN: 0974- 6846 2. R. Nandan, T. DebRoy and H. K. D. H. Bhadeshia, “Recent advances in friction stir welding–process, weldment structure and properties”, Progress in Materials Science, vol.53, 980-1023, (2008) 3. W. M. Thomas, E. D. Nicholas, J. C. Needham, M. G. Murch, P. Temple- Smith and C. J. Dawes, “Friction stir butt welding”, International Patent Application No. PCT/GB92/ 02203, December 1991. 4. C. J. Dawes and W. M. Thomas, “Friction stir process welds aluminum alloys”, Welding Journal 75, 41-44, (1996). 5. Jae-Hyung Cho, E. Donald, Boyce and Paul R. Dawson, “Modeling strain hardening and texture evolution in friction stir welding of stainless steel”, Material Science Engineering A, 398, 146-163. (2005). 6. Kalemba, S. Dymek, C. Hamilton and M. Blicharski, “Microstructural investigation of friction stir welded 7136-T76511 aluminium”, Proceedings of the 13th International Conference on Electron Microscopy,’EM2008’, Zakopane, 79 , (2008). 7. H. Uzun, C.D. Donne, A. Argagnotto, T. Ghidini and C. Gambaro, “Friction stir welding of dissimilar Al 6013-T4 to X5CrNi18-10 stainless steel”, Materials and Design, 26, 41- 46, (2005). 8. P. Cavaliere, R. Nobile, F. W. Panella and A. Squillance, “Mechanical and microstructural behavior of 2024-7075 aluminium alloy sheets joined by friction stir welding”, International Journal of Machine Tools and Manufacture, 46, 588-594, (2006).
9.
International Journal of
Mechanical Engineering and Technology (IJMET), ISSN 0976 – 6340(Print), ISSN 0976 – 6359(Online) Volume 4, Issue 2, March - April (2013) © IAEME 253 9. L. Litynska, R. Braun, G. Staniek, C. Dalle Donne and J. Dutkiewicz, “TEM study of the microstructure evolution in a friction stir-welded Al Cu Mg Ag alloy”, Materials Chemistry and Physics, 81, 293-295, (2003). 10. C. Yeni, S. Sayer, O. Ertugrul and M. Pakdil, “Effect of post-weld aging on the mechanical stir and microstructural properties of friction welded aluminium alloy 7075”, Archives of Materials Science and Engineering, 34, 105-109, (2008). 11. C. Hamilton, S. Dymek and M. Blicharski, “Mechanical properties of al 6101-T6 welds by friction stir welding and metal inert gas welding”, Archives of Metallurgy and Materials, 52, 67-72, (2007). 12. R. Palanivel, P. Koshy Mathews and N. Murugan “Development of mathematical model to predict the mechanical properties of friction stir welded AA6351 aluminum alloy” Journal of Engineering Science and Technology Review 4 (1) (2011) 25-31. 13. ZHANG Z, FRIEDRICH K. Artificial neural networks applied to polymer composites: A review [J]. Composites Science and Technology, 2003, 63: 2029−2044. 14. ARCAKHOGLU E, CAVUSOGLU A, ERISEN A. Thermodynamic analyses of refrigerant mixtures using artificial neural networks [J]. Applied Energy, 2004, 78: 219−230. 15. D.Muruganandam and Dr.Sushil lal Das, “Friction Stir Welding Process Parameters for Joining Dissimilar Aluminum Alloys”, International Journal of Mechanical Engineering & Technology (IJMET), Volume 2, Issue 2, 2011, pp. 25 - 38, ISSN Print: 0976 – 6340, ISSN Online: 0976 – 6359. 16. U.S.Patil and M.S.Kadam, “Effect of the Welding Process Parameter in MMAW for Joining of Dissimilar Metals and Parameter Optimization using Artificial Neural Fuzzy Interface System”, International Journal of Mechanical Engineering & Technology (IJMET), Volume 4, Issue 2, 2013, pp. 79 - 85, ISSN Print: 0976 – 6340, ISSN Online: 0976 – 6359.
Baixar agora