SlideShare a Scribd company logo
1 of 3
Download to read offline
FAILURE MODE ANALYSIS OF PLASTICS COMPONENTS & PARTS

ABSTRACT

The failure mode of component sets limit to engineering design. Therefore, Failure Mode Analysis should be part
of the engineering design and manufacturing process. The two major engineering tasks in component applications
are to perform Failure Analysis (FA) and Failure Mode and Effects Analysis (FMEA)

The engineering problem solving approaches can be applied to determine failure analysis of Plastics components
used in engineering applications. However, it is important to define failure mode and failure mechanism. The failure
mode analysis effort conducted on polymer materials provides a good materials database for computer-aided
design engineers which in turn can use the information to effectively model part reliability, thus reducing the need
for complex and costly prototype testing.


FAILURE ANALYSIS (FA)

Failure analysis consists of investigations to find out how and why something failed. The four major reasons for
engineering failures are Poor design, incorrect use of material, manufacturing defects and service conditions.
Understanding the actual reason for failures is absolutely required to avoid recurrence and prevent failure in similar
component, system, structure or product. The analysis should also help with the understanding and improvement of
design, materials selection, fabrication or processing techniques, and inspection methods.

Failure analysis is for identifying and understanding the physics of the failure processes and mechanisms of failure.
Failure analysis has been in use for decades, and has resulted in considerable improvements in components
reliability and system maintainability, even with overall system complexity increased. Traditionally, failure analysis
methods have focused on laboratory testing and physical analysis of components to fully understand why
component failed. Within the last 10years, great strides have been made in failure analysis using computer-aided
engineering, simulations and virtual testing that incorporate stress analysis equations derived from basic principles
of physics and strength of material. The evolution of the computer industry, as well as the growth of available
material information, has made computer-based failure analysis more feasible than ever before. Failure analysis
should identify the root cause analysis and recommendation of a corrective action(s). The failure investigator has
only one objective to determine the failure mechanism that caused the failure and to use that knowledge to prevent
another occurrence.

Background

• Part information: Detailed information about a failed component often facilitates selection of analytical methods
and can provide insight into some of the factors that may have contributed to the failure. Certain test methods may
be suggested by knowledge of the component manufacturing history, and this could lead to a quicker solution. This
information should include as a minimum: specifications (material and component), manufacturing information, part
number and serial number, and engineering drawings.

• Service condition: The history of a failed part is also of great importance to the engineering analyst. All information
concerning the actual record of a part can serve to illuminate the causes of a failure.

• Failure Analysis investigation planning and sample selection: The planning portion of an investigation is crucial to
determining the proximate cause of failure. Proper planning can ensure that an investigation is efficient and cost
effective.

Failure analysis criteria
    • Proper background information
    • Relevant analyses and tests
    • Thorough knowledge of plastic material properties, manufacturing processing and service condition
    • Engineering expertise and experience
    • The theory must agree with the data.
June 9th, 2008
American Engineering Group, Akron OH.
www.engineering-group.com
•    The simplest solution is the best solution.
     •    Having the wrong solution is frequently much worse than having no solution.
     •    Major failures are often triggered by very minor engineering factors.

Preliminary examination

All pertinent features should be examined visually, and thorough notes should be taken for each component
associated with a failure analysis. Many macroscopic features and characteristics can suggest certain failure
modes and circumstances. Fracture surfaces can exhibit an identifiable origin, progression marks, direction marks,
and post fracture damage, all of which can be significant to the failure.

All of the pertinent features noted in the visual examination should be well documented by photographs. The
component condition as well as any stamped information /part numbers should be illustrated. This should be done
as soon as possible after failure, especially if the fracture surfaces continue to corrode. If smaller sections are to be
excised for analysis, this step can document their locations and orientations. Photography is necessary because
subsequent dissection of the sample may preclude further visual examination.

Material evaluation

Thoroughness material evaluation is an integral part of any failure analysis. Naturally, a good engineering analysis
will include test methods that are appropriate to the physical evidence of an investigation.

The following tests should all be considered:

• Environmental testing: Environmental tests may simulate the corrosivity and temperature extremes experienced
by a component in service. Either the failed part or an exemplar part that has been processed similarly could be
subjected to these procedures, which may reveal behavior that could cause failure.

• Mechanical testing: Mechanical properties have been historically measured by material suppliers and are often
reported to the end user. Properties measured on a failed material can often be directly compared to pertinent
specifications and prior property data. Discrepant strength levels can be determined, and in many cases
degradation of these properties during service can be identified.

Determination of material structure can indicate the likely mechanical and physical properties of a component.
Similarly, this examination can reveal crucial processing information, which may indicate incorrect or incomplete
curing or other required structural alteration. Microscopy can reveal macrostructure, such as depth of surface
hardening or banding, and it can also reveal microstructure, such as grain size and the phases present. Carefully
prepared cross-excellent depth of field, which is a boon to morphological identification.

In addition to the fracture mode, electron microscopy can help identify types of mechanical damage, such as
adhesive or abrasive wear, corrosion, and other distinct features. To some extent, surface roughness or machining
quality can also be evaluated.

Functional testing

This group of tests includes all those that do not easily fit into the previous categories. The following are a few of
the more important techniques.

• Fracture mechanics: This tool can approximate the stresses surrounding a fracture to better explain its
occurrence. By making certain assumptions and isolating the fracture location, simulations of crack growth
scenarios can be calculated. By altering the determined model parameters, the analyst can estimate the magnitude
of the mechanical stress applied to a component at the time of failure. This is often used in tandem with NDE-
measured flaw sizes to determine the reduced loads necessary to produce crack growth with a flaw of certain
dimensions. Mechanical properties measured during destructive physical analysis can be placed in this model to
acquire more specific information.



June 9th, 2008
American Engineering Group, Akron OH.
www.engineering-group.com
• Finite element analysis: Finite element analysis, or FEA, is an advanced modeling technique that can help to
predict the magnitude of stresses on individual components within complex assemblies. This type of analysis also
utilizes the computational capabilities of current technology. Changing the 1ocanon and magnitude of simulated
loads on the three-dimensional model may indicate the reason for a failure. In some circumstances, this type of
engineering analysis is of utmost importance when physical evidence is not available but mechanical loading is
known.

• Simulation: In some instances, sophisticated test beds and test apparatus can be developed for approximating the
service conditions involved in a materials failure. Although this tool is more often used during product development,
the ability to reproduce a failure is a very clear-cut proof of a failure hypothesis. By altering the physical simulation
through inserting the specific parameters associated with the failure, an exemplar part similar to the failed one can
be tested. Naturally, the actual factors contributing to a failure may be too numerous and varied to adequately
simulate; however, failures in which mechanical stresses are the only significant causes are not uncommon.

Failure Mode and Effective Analysis (FMEA)

Failure “mode” analysis of plastic material structures has been a common practice in many industries, such as
rubber, plastics, adhesives and composites. A FMEA is a method of analyzing a component design or
manufacturing process in order to evaluate the potential for failures. It involves identifying all potential failure
modes, and identifies the criticality of these failures. FMEA is sometimes identified as failure mode, effects and
criticality analyses. FMEA standards are based on reliability engineering specification from automotive and
aerospace industry. These analyses can take many forms but they are all used to study a particular component and
determine how that component can be modified to improve overall reliability and avoid failures. This analysis can
provide the most critical failure modes and then determine how these critical failures can be minimized or
eliminated. However, the role of this analysis is expanding from that of a basis research tool to that of a quality
control technique and predictor of service life. These changes have necessitated the development of new
procedures for exposing and evaluating material structures and analyzing data.

More and more new materials are being developed and the applications for existing materials are expanding. The
time required for these new developments and application is becoming shorter and shorter. As a result, the need
for faster and more precise testing and analytical methods is growing. More sensitive analytical tools are required.

Plastic materials are frequently used under severe thermal, chemical and mechanical stress conditions. A major
drawback of plastics is their tendency to oxidize. Most of them become unstable in contact with atmospheric
oxygen.

Comprehensive Failure Analysis studies should involve fundamental changes in physical properties of the material
due to degradation mechanisms, inter-atomic bonding, microstructure and crystal structures. Polymer degradation
should also include characteristics such as the loss of plasticizer, separation of polymer from fillers, and surface
friction.


CONCLUSION

The engineering problem solving approaches can be applied to determine failure analysis of plastic components
used in engineering applications. However, it is important to define failure mode and failure mechanism. It is also
important to establish verification and correlation between field and lab samples using physical and chemical
techniques. The primary rate determining mechanism of component failure can be predicted using the accelerated
functional tests. Accelerated tests provide a quantitative determination of the service life of elastomer components
in a particular application. The failure mode analysis effort conducted on polymer materials provides a good
materials database for computer-aided design engineers who in turn can use the information to effectively model
part reliability, thus reducing the need for complex and costly prototype testing.

Failure mode analysis as an engineering tool is still in the infancy stage of development. Although some successes
have been reported, more application research is needed.

REFERENCES
C.J. Derham, J. Mater. Sci., 8 1023 (1973)
June 9th, 2008
American Engineering Group, Akron OH.
www.engineering-group.com

More Related Content

Recently uploaded

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
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
panagenda
 

Recently uploaded (20)

DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
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
 
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
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
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...
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
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
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
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
 
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
 
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...
 

Featured

Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
Kurio // The Social Media Age(ncy)
 

Featured (20)

PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
 
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
 
12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at Work12 Ways to Increase Your Influence at Work
12 Ways to Increase Your Influence at Work
 
ChatGPT webinar slides
ChatGPT webinar slidesChatGPT webinar slides
ChatGPT webinar slides
 
More than Just Lines on a Map: Best Practices for U.S Bike Routes
More than Just Lines on a Map: Best Practices for U.S Bike RoutesMore than Just Lines on a Map: Best Practices for U.S Bike Routes
More than Just Lines on a Map: Best Practices for U.S Bike Routes
 
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
 
Barbie - Brand Strategy Presentation
Barbie - Brand Strategy PresentationBarbie - Brand Strategy Presentation
Barbie - Brand Strategy Presentation
 

AEG - Finite Element Analysis Capabilities

  • 1. FAILURE MODE ANALYSIS OF PLASTICS COMPONENTS & PARTS ABSTRACT The failure mode of component sets limit to engineering design. Therefore, Failure Mode Analysis should be part of the engineering design and manufacturing process. The two major engineering tasks in component applications are to perform Failure Analysis (FA) and Failure Mode and Effects Analysis (FMEA) The engineering problem solving approaches can be applied to determine failure analysis of Plastics components used in engineering applications. However, it is important to define failure mode and failure mechanism. The failure mode analysis effort conducted on polymer materials provides a good materials database for computer-aided design engineers which in turn can use the information to effectively model part reliability, thus reducing the need for complex and costly prototype testing. FAILURE ANALYSIS (FA) Failure analysis consists of investigations to find out how and why something failed. The four major reasons for engineering failures are Poor design, incorrect use of material, manufacturing defects and service conditions. Understanding the actual reason for failures is absolutely required to avoid recurrence and prevent failure in similar component, system, structure or product. The analysis should also help with the understanding and improvement of design, materials selection, fabrication or processing techniques, and inspection methods. Failure analysis is for identifying and understanding the physics of the failure processes and mechanisms of failure. Failure analysis has been in use for decades, and has resulted in considerable improvements in components reliability and system maintainability, even with overall system complexity increased. Traditionally, failure analysis methods have focused on laboratory testing and physical analysis of components to fully understand why component failed. Within the last 10years, great strides have been made in failure analysis using computer-aided engineering, simulations and virtual testing that incorporate stress analysis equations derived from basic principles of physics and strength of material. The evolution of the computer industry, as well as the growth of available material information, has made computer-based failure analysis more feasible than ever before. Failure analysis should identify the root cause analysis and recommendation of a corrective action(s). The failure investigator has only one objective to determine the failure mechanism that caused the failure and to use that knowledge to prevent another occurrence. Background • Part information: Detailed information about a failed component often facilitates selection of analytical methods and can provide insight into some of the factors that may have contributed to the failure. Certain test methods may be suggested by knowledge of the component manufacturing history, and this could lead to a quicker solution. This information should include as a minimum: specifications (material and component), manufacturing information, part number and serial number, and engineering drawings. • Service condition: The history of a failed part is also of great importance to the engineering analyst. All information concerning the actual record of a part can serve to illuminate the causes of a failure. • Failure Analysis investigation planning and sample selection: The planning portion of an investigation is crucial to determining the proximate cause of failure. Proper planning can ensure that an investigation is efficient and cost effective. Failure analysis criteria • Proper background information • Relevant analyses and tests • Thorough knowledge of plastic material properties, manufacturing processing and service condition • Engineering expertise and experience • The theory must agree with the data. June 9th, 2008 American Engineering Group, Akron OH. www.engineering-group.com
  • 2. The simplest solution is the best solution. • Having the wrong solution is frequently much worse than having no solution. • Major failures are often triggered by very minor engineering factors. Preliminary examination All pertinent features should be examined visually, and thorough notes should be taken for each component associated with a failure analysis. Many macroscopic features and characteristics can suggest certain failure modes and circumstances. Fracture surfaces can exhibit an identifiable origin, progression marks, direction marks, and post fracture damage, all of which can be significant to the failure. All of the pertinent features noted in the visual examination should be well documented by photographs. The component condition as well as any stamped information /part numbers should be illustrated. This should be done as soon as possible after failure, especially if the fracture surfaces continue to corrode. If smaller sections are to be excised for analysis, this step can document their locations and orientations. Photography is necessary because subsequent dissection of the sample may preclude further visual examination. Material evaluation Thoroughness material evaluation is an integral part of any failure analysis. Naturally, a good engineering analysis will include test methods that are appropriate to the physical evidence of an investigation. The following tests should all be considered: • Environmental testing: Environmental tests may simulate the corrosivity and temperature extremes experienced by a component in service. Either the failed part or an exemplar part that has been processed similarly could be subjected to these procedures, which may reveal behavior that could cause failure. • Mechanical testing: Mechanical properties have been historically measured by material suppliers and are often reported to the end user. Properties measured on a failed material can often be directly compared to pertinent specifications and prior property data. Discrepant strength levels can be determined, and in many cases degradation of these properties during service can be identified. Determination of material structure can indicate the likely mechanical and physical properties of a component. Similarly, this examination can reveal crucial processing information, which may indicate incorrect or incomplete curing or other required structural alteration. Microscopy can reveal macrostructure, such as depth of surface hardening or banding, and it can also reveal microstructure, such as grain size and the phases present. Carefully prepared cross-excellent depth of field, which is a boon to morphological identification. In addition to the fracture mode, electron microscopy can help identify types of mechanical damage, such as adhesive or abrasive wear, corrosion, and other distinct features. To some extent, surface roughness or machining quality can also be evaluated. Functional testing This group of tests includes all those that do not easily fit into the previous categories. The following are a few of the more important techniques. • Fracture mechanics: This tool can approximate the stresses surrounding a fracture to better explain its occurrence. By making certain assumptions and isolating the fracture location, simulations of crack growth scenarios can be calculated. By altering the determined model parameters, the analyst can estimate the magnitude of the mechanical stress applied to a component at the time of failure. This is often used in tandem with NDE- measured flaw sizes to determine the reduced loads necessary to produce crack growth with a flaw of certain dimensions. Mechanical properties measured during destructive physical analysis can be placed in this model to acquire more specific information. June 9th, 2008 American Engineering Group, Akron OH. www.engineering-group.com
  • 3. • Finite element analysis: Finite element analysis, or FEA, is an advanced modeling technique that can help to predict the magnitude of stresses on individual components within complex assemblies. This type of analysis also utilizes the computational capabilities of current technology. Changing the 1ocanon and magnitude of simulated loads on the three-dimensional model may indicate the reason for a failure. In some circumstances, this type of engineering analysis is of utmost importance when physical evidence is not available but mechanical loading is known. • Simulation: In some instances, sophisticated test beds and test apparatus can be developed for approximating the service conditions involved in a materials failure. Although this tool is more often used during product development, the ability to reproduce a failure is a very clear-cut proof of a failure hypothesis. By altering the physical simulation through inserting the specific parameters associated with the failure, an exemplar part similar to the failed one can be tested. Naturally, the actual factors contributing to a failure may be too numerous and varied to adequately simulate; however, failures in which mechanical stresses are the only significant causes are not uncommon. Failure Mode and Effective Analysis (FMEA) Failure “mode” analysis of plastic material structures has been a common practice in many industries, such as rubber, plastics, adhesives and composites. A FMEA is a method of analyzing a component design or manufacturing process in order to evaluate the potential for failures. It involves identifying all potential failure modes, and identifies the criticality of these failures. FMEA is sometimes identified as failure mode, effects and criticality analyses. FMEA standards are based on reliability engineering specification from automotive and aerospace industry. These analyses can take many forms but they are all used to study a particular component and determine how that component can be modified to improve overall reliability and avoid failures. This analysis can provide the most critical failure modes and then determine how these critical failures can be minimized or eliminated. However, the role of this analysis is expanding from that of a basis research tool to that of a quality control technique and predictor of service life. These changes have necessitated the development of new procedures for exposing and evaluating material structures and analyzing data. More and more new materials are being developed and the applications for existing materials are expanding. The time required for these new developments and application is becoming shorter and shorter. As a result, the need for faster and more precise testing and analytical methods is growing. More sensitive analytical tools are required. Plastic materials are frequently used under severe thermal, chemical and mechanical stress conditions. A major drawback of plastics is their tendency to oxidize. Most of them become unstable in contact with atmospheric oxygen. Comprehensive Failure Analysis studies should involve fundamental changes in physical properties of the material due to degradation mechanisms, inter-atomic bonding, microstructure and crystal structures. Polymer degradation should also include characteristics such as the loss of plasticizer, separation of polymer from fillers, and surface friction. CONCLUSION The engineering problem solving approaches can be applied to determine failure analysis of plastic components used in engineering applications. However, it is important to define failure mode and failure mechanism. It is also important to establish verification and correlation between field and lab samples using physical and chemical techniques. The primary rate determining mechanism of component failure can be predicted using the accelerated functional tests. Accelerated tests provide a quantitative determination of the service life of elastomer components in a particular application. The failure mode analysis effort conducted on polymer materials provides a good materials database for computer-aided design engineers who in turn can use the information to effectively model part reliability, thus reducing the need for complex and costly prototype testing. Failure mode analysis as an engineering tool is still in the infancy stage of development. Although some successes have been reported, more application research is needed. REFERENCES C.J. Derham, J. Mater. Sci., 8 1023 (1973) June 9th, 2008 American Engineering Group, Akron OH. www.engineering-group.com