Accendo Reliability

Your Reliability Engineering Professional Development Site

  • Home
  • About
    • Contributors
    • About Us
    • Colophon
    • Survey
  • Reliability.fm
  • Articles
    • CRE Preparation Notes
    • NoMTBF
    • on Leadership & Career
      • Advanced Engineering Culture
      • ASQR&R
      • Engineering Leadership
      • Managing in the 2000s
      • Product Development and Process Improvement
    • on Maintenance Reliability
      • Aasan Asset Management
      • AI & Predictive Maintenance
      • Asset Management in the Mining Industry
      • CMMS and Maintenance Management
      • CMMS and Reliability
      • Conscious Asset
      • EAM & CMMS
      • Everyday RCM
      • History of Maintenance Management
      • Life Cycle Asset Management
      • Maintenance and Reliability
      • Maintenance Management
      • Plant Maintenance
      • Process Plant Reliability Engineering
      • RCM Blitz®
      • ReliabilityXperience
      • Rob’s Reliability Project
      • The Intelligent Transformer Blog
      • The People Side of Maintenance
      • The Reliability Mindset
    • on Product Reliability
      • Accelerated Reliability
      • Achieving the Benefits of Reliability
      • Apex Ridge
      • Field Reliability Data Analysis
      • Metals Engineering and Product Reliability
      • Musings on Reliability and Maintenance Topics
      • Product Validation
      • Reliability by Design
      • Reliability Competence
      • Reliability Engineering Insights
      • Reliability in Emerging Technology
      • Reliability Knowledge
    • on Risk & Safety
      • CERM® Risk Insights
      • Equipment Risk and Reliability in Downhole Applications
      • Operational Risk Process Safety
    • on Systems Thinking
      • Communicating with FINESSE
      • The RCA
    • on Tools & Techniques
      • Big Data & Analytics
      • Experimental Design for NPD
      • Innovative Thinking in Reliability and Durability
      • Inside and Beyond HALT
      • Inside FMEA
      • Institute of Quality & Reliability
      • Integral Concepts
      • Learning from Failures
      • Progress in Field Reliability?
      • R for Engineering
      • Reliability Engineering Using Python
      • Reliability Reflections
      • Statistical Methods for Failure-Time Data
      • Testing 1 2 3
      • The Manufacturing Academy
  • eBooks
  • Resources
    • Accendo Authors
    • FMEA Resources
    • Glossary
    • Feed Forward Publications
    • Openings
    • Books
    • Webinar Sources
    • Podcasts
  • Courses
    • Your Courses
    • Live Courses
      • Introduction to Reliability Engineering & Accelerated Testings Course Landing Page
      • Advanced Accelerated Testing Course Landing Page
    • Integral Concepts Courses
      • Reliability Analysis Methods Course Landing Page
      • Applied Reliability Analysis Course Landing Page
      • Statistics, Hypothesis Testing, & Regression Modeling Course Landing Page
      • Measurement System Assessment Course Landing Page
      • SPC & Process Capability Course Landing Page
      • Design of Experiments Course Landing Page
    • The Manufacturing Academy Courses
      • An Introduction to Reliability Engineering
      • Reliability Engineering Statistics
      • An Introduction to Quality Engineering
      • Quality Engineering Statistics
      • FMEA in Practice
      • Process Capability Analysis course
      • Root Cause Analysis and the 8D Corrective Action Process course
      • Return on Investment online course
    • Industrial Metallurgist Courses
    • FMEA courses Powered by The Luminous Group
    • Foundations of RCM online course
    • Reliability Engineering for Heavy Industry
    • How to be an Online Student
    • Quondam Courses
  • Calendar
    • Call for Papers Listing
    • Upcoming Webinars
    • Webinar Calendar
  • Login
    • Member Home
  • Barringer Process Reliability Introduction Course Landing Page
  • Upcoming Live Events
You are here: Home / Articles / Example of Using Failure Analysis to Improve Reliability

by Michael Pfeifer, Ph.D., P.E. 2 Comments

Example of Using Failure Analysis to Improve Reliability

Example of Using Failure Analysis to Improve Reliability

Here’s an example of how a metallurgical failure analysis led to identification of the root cause of a failure, and to identification of the corrective actions needed to prevent the failures from recurring.

Failure analysis

As I discussed in my previous article, metallurgical failure analysis can be used to improve product reliability. The information from failure analysis of a failed component is used to determine the root cause of the failure. Once the root cause is identified, the failure analysis data and findings is used to help identify the corrective measures required to prevent the failure from recurring.

Failure example

Stainless steel paddles used in industrial mixing equipment were fracturing during use. The paddles consisted of a stem (machined bar) welded to a plate. The paddles were attached to a shaft that ran the length of the inside of the equipment by screwing the stem into the shaft. As the shaft rotated the paddles stirred the material being processed.

Fractured paddle

The failure analysis indicated the failure mechanism was reversed bending fatigue – the paddles were exposed to cyclic stresses that caused bending backwards and forwards. Also, the failures occurred at the tip of the weld between the paddle shaft and plate. The weld joint was a stress concentration, resulting in higher stresses at the weld compared to the other parts of the paddle. The composition and microstructure of the paddle materials and weld joint met their specifications.

Fracture at weld
Fracture surface

Failure by reversed bending fatigue seemed odd because the equipment shaft spun in only one direction. A little additional research revealed that motors can experience transient acceleration and deceleration due to fluctuations in the power supply. This was investigated and it was determined that there were a few problems with the power supply to the motor that spun the equipment shaft, resulting in large voltage spikes and erratic motor behavior.

Two root causes and fixes

For this failure there were two contributing root causes – a paddle design with a stress concentration and an unstable motor power supply. Changes to the power supply resulted in elimination of the large voltage spikes and improved the motor’s behavior, resulting in less stress on the paddles. That changed resulted in a large reduction in the number of failure and time between failures, but not complete elimination.

The paddle design was also changed to eliminate the stress concentration – the entire paddle was cast as one piece. The change resulted in complete elimination of failures during use.

Filed Under: Articles, Metals Engineering and Product Reliability, on Product Reliability

About Michael Pfeifer, Ph.D., P.E.

I’m a metallurgical engineer with over 25 years of experience working on product design, quality improvement, failure analysis, and root cause analysis.

Many people think of metallurgists only for failure analysis of component failures. While I do that, I also help design teams with component design. I help select alloys and coatings that have the corrosion, fatigue, wear, and creep properties needed to meet reliability requirements. Oftentimes, trade-offs are required between component form and materials to optimize a design for performance, reliability, and cost. I help do that, too.

« Why Three Ethics Matter When the Outcomes Are Complex and Uncertain
Root Cause vs Shallow Cause Analysis: What’s the Difference? »

Comments

  1. Mark says

    June 17, 2022 at 6:51 AM

    Interesting. Thanks. Given that castings have their own gremlins to manage, I might have also considered moving the start/stop of the welding process away from the ends of the welded joint along with evaluating the transition in section. But there are more ways to skin a cat, and success is in the details.

    Reply
    • Michael Pfeifer, Ph.D., P.E. says

      June 20, 2022 at 5:16 AM

      I agree, there are different options for making improvements. For the situation casting was used because of familiarity with it.

      Reply

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Headshot of Michael PfeiferArticles by Michael Pfeifer, Ph.D., P.E.
in the Metals Engineering and Product Reliability article series

Join Accendo

Receive information and updates about articles and many other resources offered by Accendo Reliability by becoming a member.

It’s free and only takes a minute.

Join Today

Recent Posts

  • Gremlins today
  • The Power of Vision in Leadership and Organizational Success
  • 3 Types of MTBF Stories
  • ALT: An in Depth Description
  • Project Email Economics

© 2025 FMS Reliability · Privacy Policy · Terms of Service · Cookies Policy