SlideShare uma empresa Scribd logo
1 de 27
Baixar para ler offline
»Rapid Prototyping (Non metals)
Aldi Manikanth me10b004
Harilal Ramesh me10b029
Sumit Jadhav me10b017
RAPID PROTOTYPING (Non Metals)
A.Manikanth
R.Harilal
J.Sumit
Introduction
Principle and definition
Popular RP processes
Applications
Important issues in RP
Conclusions
Why Rapid prototyping?......
» Human involvement in manufacturing processes is the
bottleneck to speed. Therefore, eliminate or at least
minimize it through automation.
 To increase effective communication.
 To decrease development time.
 To decrease costly mistakes.
 To minimize sustaining engineering changes.
 To extend product lifetime by adding necessary features and
eliminating redundant features early in the design.
Definition
» Rapid prototyping can be
defined as a group of
techniques used to quickly
fabricate a scale model of a
part or assembly using
three-dimensional
computer aided design
(CAD) data.
» It is more appropriate to call
it as Layered Manufacturing
» Compare with printing
Pixels ≡ Voxels
Raster ≡ Slices
The basic methodology for all current rapid prototyping techniques can be
summarized as follows:
1. A CAD model is constructed, then converted to STL/VRML format.
2. The RP machine processes the .STL file by creating sliced layers of the model.
3. The first layer of the physical model is created. The model is then lowered by
the thickness of the next layer, and the process is repeated until completion of
the model.
4. The model and any supports are removed. The surface of the model is then
finished and cleaned
METHODOLOGY OF RAPID
PROTOTYPING
Geometric input
• It is possible to use any solid model or water-tight surface model.
• Tessellated model is preferred due to its simplicity.
• Triangular tessellation is preferred due to its robustness.
• Most popular format is Standard Tesselation Language (STL) format. This was
developed by 3D Systems.
• STL file is an unordered collection of triangular faces (outward unit normal and
3 vertices – the order of these vertices follow RH Thumb rule w.r.t. the
normal).
year Surface
finish
Layer
thickness
limits Place materials
SLA 1986 0.1 mm Requires
post-
curing
since
3D
Systems
of
Valencia,
California
, USA,
light-
sensitive
liquid
polyme
SLS 1989. DTM™ of
Austin,
Texas,
USA
nylon,
elastome
r, and
soon
metal;
LOM Helisys of
Torrance,
California
, USA
Paper,
plastics
SGC Cibital ,
Israel
FDM 1988. thermopl
astics,
such as
ABS
Stereo lithography Process
Stereo lithography Process
The sequence of steps for producing an Stereo lithography
(SLA) layer is shown in the following figures:
Laminated Object Manufacturing
1. Layer adhesion.
2. Tracing the outline using LASER.
3. Cross hatching.
4. Lowering the platform and rolling
in fresh sheet.
5. Repositioning.
6. The process can now be repeated.
Material is usually a paper sheet laminated with adhesive on one
side, but plastic and metal laminates are upcoming.
Solid Ground Curing
Solid Ground Curing
• Photopolymer is used (Liquid)
• Optical masking
• As the entire area is exposed together, this process is very fast. Similar to LOM,
build time is proportional to the surface area and not volume.
• Explicit support structures are required. This is achieved simply by pouring wax
in the regions not affected by the light; no need for computing the region
requiring support and modify the CAD model.
• The power of the laser and exposure time decides the layer thickness.
Selective Laser Sintering
Highlights of Selective Laser Sintering
• Laser beam selectively fuses powder materials: nylon, elastomer, and soon
metal.
• Advantage over SLA: Variety of materials and ability to approximate common
engineering plastic materials.
• Process is simple: There are no masking steps required.
• Living hinges are possible with the thermoplastic-like materials.
• Powdery, porous surface unless sealant is used. Sealant also strengthens part.
• Uncured material is easily removed after a build by brushing or blowing it off.
Selective Laser Sintering
Fused Deposition Modelling
FUSED DEPOSITION MODELLING
 Fused deposition modelling (FDM) is an additive manufacturing
technology used for modelling, prototyping, and production applications.
 A plastic filament or metal wire is unwound from a coil and supplies
material to an extrusion nozzle which can turn the flow on and off.
 The nozzle is heated to melt the material and can be moved in both
horizontal and vertical directions by a Numerically Controlled mechanism,
directly controlled by a computer-aided manufacturing (CAM) software
package.
 Stepper motors or servo motors are typically employed to move the
extrusion head.
 The thermoplastic material which we use here is ABS(Acrylonitrile
butadiene styrene).
PERFACTORY
 Perfactory is the short form of “Personal factory”
 The Perfactory system builds 3D objects from liquid resin, like stereo
lithography, but using a projector rather than a laser.
 It builds solid 3D objects by using the DLP projector to project
sequential voxel planes into liquid resin, which then causes the resin
to cure from liquid to solid.
 Each voxel plane made up of tiny Voxels (volume pixels), with
dimensions as small as 16 μm x 16 μm x 15 μm in X, Y and Z direction.
 Dynamic Voxel Thickness gives you control over z build thicknesses
from 15 μm to 150 μm
Supports
Support structures
Process Support
LOM Remaining sheet stock
FDM Coarse deposition of a different
material with poor adhesion.
SLA Buoyancy of the liquid photo-
polymer. Additionally, part
geometry is modified to have
weak supporting elements.
SGC Wax
SLS Remaining uncured powder
APPLICATIONS
 In Medicine
 It was recognized quite early that
rapid prototyping could bring great
improvements to the fields of
prosthetics and implantation.
 Previously, hip replacements and
other similar surgeries were carried
out using standard sized
replacement parts selected from a
range provided by manufacturers
based on anthropomorphic data.
APPLICATIONS
 Jewellery and the related arts
have been particularly
affected.
 Fine Arts
-Michelangelo created his
sculpture David 19 feet tall
with the help of
rapid prototyping.
 Architectural modelling
-for example, those of the,
American architect Frank
Gehry, are more faithfully
and easily represented
than they could be using
traditional model
construction methods.
LIMITATIONS
• Staircase effect
1. Low accuracy .
2. Poor surface finish .
• Limited sizes
Not a serious issue.
• Support structure:
1. Need for a support mechanism.
2. Support removal is time
consuming.
• Limited material options
Only photopolymers and
thermoplastics.
Conclusions
 Limitations of Virtual world model.
 Properties like noise, handling or styling in automotive industry.
 Hence necessity of techniques such as rapid prototyping
essential.

Mais conteúdo relacionado

Semelhante a Rapid-Prototyping.pdf

Technical seminar 3D printing.pptx
Technical seminar 3D printing.pptxTechnical seminar 3D printing.pptx
Technical seminar 3D printing.pptxHarshaVardhana86
 
Rapid prototyping
Rapid prototypingRapid prototyping
Rapid prototypingAjaa Tahir
 
3D MODELLING IN DENTISTRY
3D MODELLING IN DENTISTRY3D MODELLING IN DENTISTRY
3D MODELLING IN DENTISTRYsirisha bevara
 
Design Development Experimental Approach of Industrial Product Enhancement Pr...
Design Development Experimental Approach of Industrial Product Enhancement Pr...Design Development Experimental Approach of Industrial Product Enhancement Pr...
Design Development Experimental Approach of Industrial Product Enhancement Pr...IJMER
 
3D Circuits-Wireless-Save Cost & Assembly
3D Circuits-Wireless-Save Cost & Assembly 3D Circuits-Wireless-Save Cost & Assembly
3D Circuits-Wireless-Save Cost & Assembly sourcepointassociates
 
Rapidprototyping
RapidprototypingRapidprototyping
Rapidprototypingnavdeep6123
 
3 D printing of multilayer coating
3 D printing of multilayer coating 3 D printing of multilayer coating
3 D printing of multilayer coating Sara Pakseresht
 
Overview of Rapid Prototyping
Overview of Rapid PrototypingOverview of Rapid Prototyping
Overview of Rapid PrototypingSuhaimi Alhakimi
 
2014 12-22 - open 3 d printing and fabrication technology (cd)
2014 12-22 - open 3 d printing and fabrication technology (cd)2014 12-22 - open 3 d printing and fabrication technology (cd)
2014 12-22 - open 3 d printing and fabrication technology (cd)FabLab Pisa
 
Additive manufacturing in dentistry
Additive manufacturing in dentistryAdditive manufacturing in dentistry
Additive manufacturing in dentistryPrabu Ps
 

Semelhante a Rapid-Prototyping.pdf (20)

RPT- ppt.pdf
RPT- ppt.pdfRPT- ppt.pdf
RPT- ppt.pdf
 
Technical seminar 3D printing.pptx
Technical seminar 3D printing.pptxTechnical seminar 3D printing.pptx
Technical seminar 3D printing.pptx
 
Rapid-prototyping
Rapid-prototypingRapid-prototyping
Rapid-prototyping
 
Rapid prototyping
Rapid prototypingRapid prototyping
Rapid prototyping
 
3D Printing Technology
3D Printing Technology 3D Printing Technology
3D Printing Technology
 
rapidprototyping.ppt
rapidprototyping.pptrapidprototyping.ppt
rapidprototyping.ppt
 
rapidprototyping.ppt
rapidprototyping.pptrapidprototyping.ppt
rapidprototyping.ppt
 
3D MODELLING IN DENTISTRY
3D MODELLING IN DENTISTRY3D MODELLING IN DENTISTRY
3D MODELLING IN DENTISTRY
 
Design Development Experimental Approach of Industrial Product Enhancement Pr...
Design Development Experimental Approach of Industrial Product Enhancement Pr...Design Development Experimental Approach of Industrial Product Enhancement Pr...
Design Development Experimental Approach of Industrial Product Enhancement Pr...
 
3D Circuits-Wireless-Save Cost & Assembly
3D Circuits-Wireless-Save Cost & Assembly 3D Circuits-Wireless-Save Cost & Assembly
3D Circuits-Wireless-Save Cost & Assembly
 
Rapid prototype
Rapid prototypeRapid prototype
Rapid prototype
 
RP.ppt
RP.pptRP.ppt
RP.ppt
 
Rapidprototyping
RapidprototypingRapidprototyping
Rapidprototyping
 
3D printing in surgery
3D printing in surgery3D printing in surgery
3D printing in surgery
 
ADDITIVE MANUFACTURING/ 3D PRINTING
ADDITIVE MANUFACTURING/ 3D PRINTINGADDITIVE MANUFACTURING/ 3D PRINTING
ADDITIVE MANUFACTURING/ 3D PRINTING
 
3 D printing of multilayer coating
3 D printing of multilayer coating 3 D printing of multilayer coating
3 D printing of multilayer coating
 
Overview of Rapid Prototyping
Overview of Rapid PrototypingOverview of Rapid Prototyping
Overview of Rapid Prototyping
 
2014 12-22 - open 3 d printing and fabrication technology (cd)
2014 12-22 - open 3 d printing and fabrication technology (cd)2014 12-22 - open 3 d printing and fabrication technology (cd)
2014 12-22 - open 3 d printing and fabrication technology (cd)
 
Additive manufacturing in dentistry
Additive manufacturing in dentistryAdditive manufacturing in dentistry
Additive manufacturing in dentistry
 
3D Printing Technology.pptx
3D Printing Technology.pptx3D Printing Technology.pptx
3D Printing Technology.pptx
 

Último

Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Zilliz
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024The Digital Insurer
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbuapidays
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 

Último (20)

Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

Rapid-Prototyping.pdf

  • 1. »Rapid Prototyping (Non metals) Aldi Manikanth me10b004 Harilal Ramesh me10b029 Sumit Jadhav me10b017 RAPID PROTOTYPING (Non Metals) A.Manikanth R.Harilal J.Sumit
  • 2. Introduction Principle and definition Popular RP processes Applications Important issues in RP Conclusions
  • 3. Why Rapid prototyping?...... » Human involvement in manufacturing processes is the bottleneck to speed. Therefore, eliminate or at least minimize it through automation.  To increase effective communication.  To decrease development time.  To decrease costly mistakes.  To minimize sustaining engineering changes.  To extend product lifetime by adding necessary features and eliminating redundant features early in the design.
  • 4. Definition » Rapid prototyping can be defined as a group of techniques used to quickly fabricate a scale model of a part or assembly using three-dimensional computer aided design (CAD) data. » It is more appropriate to call it as Layered Manufacturing » Compare with printing Pixels ≡ Voxels Raster ≡ Slices
  • 5. The basic methodology for all current rapid prototyping techniques can be summarized as follows: 1. A CAD model is constructed, then converted to STL/VRML format. 2. The RP machine processes the .STL file by creating sliced layers of the model. 3. The first layer of the physical model is created. The model is then lowered by the thickness of the next layer, and the process is repeated until completion of the model. 4. The model and any supports are removed. The surface of the model is then finished and cleaned METHODOLOGY OF RAPID PROTOTYPING
  • 6. Geometric input • It is possible to use any solid model or water-tight surface model. • Tessellated model is preferred due to its simplicity. • Triangular tessellation is preferred due to its robustness. • Most popular format is Standard Tesselation Language (STL) format. This was developed by 3D Systems. • STL file is an unordered collection of triangular faces (outward unit normal and 3 vertices – the order of these vertices follow RH Thumb rule w.r.t. the normal).
  • 7.
  • 8. year Surface finish Layer thickness limits Place materials SLA 1986 0.1 mm Requires post- curing since 3D Systems of Valencia, California , USA, light- sensitive liquid polyme SLS 1989. DTM™ of Austin, Texas, USA nylon, elastome r, and soon metal; LOM Helisys of Torrance, California , USA Paper, plastics SGC Cibital , Israel FDM 1988. thermopl astics, such as ABS
  • 10. Stereo lithography Process The sequence of steps for producing an Stereo lithography (SLA) layer is shown in the following figures:
  • 12. 1. Layer adhesion. 2. Tracing the outline using LASER. 3. Cross hatching. 4. Lowering the platform and rolling in fresh sheet. 5. Repositioning. 6. The process can now be repeated. Material is usually a paper sheet laminated with adhesive on one side, but plastic and metal laminates are upcoming.
  • 14. Solid Ground Curing • Photopolymer is used (Liquid) • Optical masking • As the entire area is exposed together, this process is very fast. Similar to LOM, build time is proportional to the surface area and not volume. • Explicit support structures are required. This is achieved simply by pouring wax in the regions not affected by the light; no need for computing the region requiring support and modify the CAD model. • The power of the laser and exposure time decides the layer thickness.
  • 16. Highlights of Selective Laser Sintering • Laser beam selectively fuses powder materials: nylon, elastomer, and soon metal. • Advantage over SLA: Variety of materials and ability to approximate common engineering plastic materials. • Process is simple: There are no masking steps required. • Living hinges are possible with the thermoplastic-like materials. • Powdery, porous surface unless sealant is used. Sealant also strengthens part. • Uncured material is easily removed after a build by brushing or blowing it off.
  • 19. FUSED DEPOSITION MODELLING  Fused deposition modelling (FDM) is an additive manufacturing technology used for modelling, prototyping, and production applications.  A plastic filament or metal wire is unwound from a coil and supplies material to an extrusion nozzle which can turn the flow on and off.  The nozzle is heated to melt the material and can be moved in both horizontal and vertical directions by a Numerically Controlled mechanism, directly controlled by a computer-aided manufacturing (CAM) software package.  Stepper motors or servo motors are typically employed to move the extrusion head.  The thermoplastic material which we use here is ABS(Acrylonitrile butadiene styrene).
  • 20. PERFACTORY  Perfactory is the short form of “Personal factory”  The Perfactory system builds 3D objects from liquid resin, like stereo lithography, but using a projector rather than a laser.  It builds solid 3D objects by using the DLP projector to project sequential voxel planes into liquid resin, which then causes the resin to cure from liquid to solid.  Each voxel plane made up of tiny Voxels (volume pixels), with dimensions as small as 16 μm x 16 μm x 15 μm in X, Y and Z direction.  Dynamic Voxel Thickness gives you control over z build thicknesses from 15 μm to 150 μm
  • 21.
  • 23. Support structures Process Support LOM Remaining sheet stock FDM Coarse deposition of a different material with poor adhesion. SLA Buoyancy of the liquid photo- polymer. Additionally, part geometry is modified to have weak supporting elements. SGC Wax SLS Remaining uncured powder
  • 24. APPLICATIONS  In Medicine  It was recognized quite early that rapid prototyping could bring great improvements to the fields of prosthetics and implantation.  Previously, hip replacements and other similar surgeries were carried out using standard sized replacement parts selected from a range provided by manufacturers based on anthropomorphic data.
  • 25. APPLICATIONS  Jewellery and the related arts have been particularly affected.  Fine Arts -Michelangelo created his sculpture David 19 feet tall with the help of rapid prototyping.  Architectural modelling -for example, those of the, American architect Frank Gehry, are more faithfully and easily represented than they could be using traditional model construction methods.
  • 26. LIMITATIONS • Staircase effect 1. Low accuracy . 2. Poor surface finish . • Limited sizes Not a serious issue. • Support structure: 1. Need for a support mechanism. 2. Support removal is time consuming. • Limited material options Only photopolymers and thermoplastics.
  • 27. Conclusions  Limitations of Virtual world model.  Properties like noise, handling or styling in automotive industry.  Hence necessity of techniques such as rapid prototyping essential.