Showing posts with label plastic failure analysis. Show all posts
Showing posts with label plastic failure analysis. Show all posts

Wednesday, 17 June 2026

Plastics Testing & Analysis - The Importance of Understanding Measurement Uncertainty and Measurement Error (Rule of Thumb)

Hello and welcome to an new Rule of Thumb post in which we have a closer look at understanding Measurement uncertainty and measurement error in plastics. 

Back at University during my polymer engineering study, I remember, there was a paper hanging on the wall of the rheology lab which I kept all the years in my mind. On the paper was a quote, if I remind correctly, from David Packard and it stated the following: 

"You are always measuring wrong, you just have to know by how much"

That quote captures a fundamental truth in polymer engineering, and physics: perfect measurement does not exist. Every measurement contains some degree of error, and the key to precision is understanding and quantifying that error.

This brings me to the standard deviation (σ) which measures the dispersion or spread of data points around their arithmetic mean. A low σ indicates data clusters tightly near the average, while a high σ shows wide scattering. It carries the same units as the data, making it highly interpretable (Figure 1).

Figure 1: The importance of mean and standard deviation in plastics testsing and analysis including an example of PP tensile strength measurement. 

Example - Standard deviation σ in polymer analysis

Standard deviation σ in polymer analysis directly quantifies the absolute spread of polymer chain lengths or molecular weights around the mean. It is critical for predicting physical properties like viscosity, tensile strength, and melting point, providing a more precise measure of chain variation than the standard Polydispersity Index (PDI).

What a high σ tells you - more examples

  • Plastics testing: Tensile strength of injection molded Polyproyplene (PP) specimen measured under the same conditions. A high σ indicates an incosnistent process with greater part variability and higher risk of outliers (Figure 1).
  • Molding inconsistencies: Fluctuations in barrel temperature or cooling rates.
  • Operator variance: Poor grip alignment or extensometer slippage during ⁠measurment

Ok, and what I can do to have the standard deviation under control?

Here is a quick Troubleshooting Checklist:

  • Sample prep: Are specimens conditioned to eliminate moisture variance.
  • Calibration: Verify force cells and displacement transducers strictly meet ISO/ASTM requirements.
  • Sample size: Ensure you test at least 5 representative specimens for a statistically sound mean.

In conclusion 
One only truly understand polymers when you connect: 

polymeric material → processing → structure → failure.

Great polymer engineers don not just know materials —they understand the interaction between design, processing, and degradation.

Check out more Rule of Thumb posts in my Start here section.

Thanks for reading & #findoutaboutplastics

Greetings, 

Herwig 



Literature: 

[1] https://onlinelibrary.wiley.com/doi/book/10.1002/0470100427

[2] https://www.hanser-fachbuch.de/Kunststoffpruefung/978-3-446-48105-3

[3] https://www.philmckinney.com/10-quotes-from-bill-hewlett-and-david-packard-that-every-executive-should-read/

Wednesday, 11 March 2026

Plastic Part Failure Analysis - Example Recycled PP Pallet Corner Cracking in Cold Warehouse

Hello and welcome to this plastic failure analysis post. Apart from polymer material selection, and preventing plastic part failure, I focus in my role as certified plastics expert witness to support the polymer engineering community in solving failed plastic part cases. 

Example recycled PP pallet corner cracking in cold warehouse

Overview on the situation

  • Part / material: Pallet (EUR/EPAL-Palett; 800 mm × 1.200 mm × 144 mm) made out of mechanically recycled polypropylene (rPP). 
  • What happened and which failure was observed (Figure 1): Corner cracks and brittle fracture of corner area after it was dropped at low temperature (below 10°C).

Figure 1: Example plastic failure analysis - broken corner of a palett made out of recycled PP. 

Plastic part failure analysis

Figure 2 shows the steps of a general plastic part failure analysis protocol [1] which can be followed to obtain a solid root cause and take corrective actions to prevent failure in the future. In this post I focus on the steps "material analysis, determination of failure mode and cause, and corrective actions". 

Figure 2: Overview of the steps for performing a plastic part failure analysis. 

Root cause analysis and results:

  • Identification of material by using Differential Scanning Calorimetry (DSC): DSC is a thermal analysis technique used to observe thermal transitions in polymers. This includes identifying key characteristics such as:
    • Glass Transition Temperature (Tg): The temperature at which an amorphous polymer transitions from a rigid, glassy state to a more flexible, rubbery state.
    • Melting Points (Tm): The temperature at which crystalline regions of a semi-crystalline polymer melt.
    • Crystallization and Crystallization Rate: For semi-crystalline polymers, DSC can also reveal information about how they crystallize upon cooling.

Pellets and pallet sections were both analyzed with DSC and in both, pellets and pallet sections Polypropylene could be identified via the melt peak at 170°C (Figure 3). Apart from PP, Polyethylene (LDPE and HDPE) melting peaks could be identified and it is not unusual for recycled PP to contain LDPE and HDPE too. They are referred to as mixed polyolefins and use packaging and industrial waste as primary recycling source. Packaging waste contains often PS and PET too, which could not be found in our material samples. Also, three other polymers could be identified, which may come from the industrial waste stream: Polyoxymethylene (POM), Polyamide 6 (PA 6), and Polytetrafluorethylene (PTFE with the two transitions at 23°C and 340°C). Having altogether five polymers in a PP base polymer system has impact on the material and final part properties. 

Figure 3: DSC result of pellets and pallet - apart from PP, five other polymers were found. 

  • Property variability: Contamination with LDPE/HDPE/POM/PA 6/PTFE, and unknown additives lead to a variability in mechanical and thermal properties. Also, differences in melt viscosity (via MFR) could be shown. 
  • Degradation: Oxidative degradation from multiple heat histories due to processing resulted in a lower molecular weight and reduced toughness.
  • Impact modification: Insufficient impact modification for low-temperature use.
  • Part design and processing: Poor weld line strength due to contamination and poor flow during filling phase in injection molding.

Corrective action proposals

To address and prevent plastic part failure in the future, the following corrective measures should be considered:

  • Improve feedstock control: Implementation of tighter incoming quality checks, including MFR, DSC, ash content, and FTIR screening to detect contamination.
  • Add stabilization: Usage of a combination of hindered phenolic and phosphite antioxidants, keeping in mind any odor constraints.
  • Enhance impact resistance: Incorporation of impact modifiers (such as EPR/EPDM) and/or blend with virgin PP to maintain stable performance.
  • Optimize processing: Lower shear rates, reduce residence time, and improve venting and filtration (e.g., use of melt filters) during processing.

Prevention tips for part failure:

To enhance part reliability and prevent failures, the following best practices should be considered:

  • Design considerations: Account for the variability of recycled materials by incorporating optimized corners and radii, and by avoiding thin snap features in your designs.
  • Quality assurance: Implement lot-based mechanical testing, such as notched Izod or Charpy impact tests at the intended service temperature, to ensure consistent performance.

Applying these measures will help improve the durability and quality of our products.

If the application is cold-impact critical, rPP should only for non-critical components considered or require certified PCR grades.

Other examples from my case directory:

When Childhood Crumbles: Understanding Plastic Part Failure in LEGO® Bricks

Curious how I can best support you with your plastics challenges? 

Take my quick 6-question Case Viability & Expert Fit Scorecard!

By completing this short assessment, you’ll receive a personalized score that helps determine the most effective way I can assist you. 

Take the Case Viability & Expert Fit Scorecard

or contact me here directly. 

Thanks for reading & #findoutaboutplastics

Greetings, 

Herwig



Literature: 

[1] Jeffrey A. Jansen: Characterization of Plastics in Failure Analysis, Stork Technimet Inc / The Madison Group

[2] http://www.justerexpertwitness.com

[3] https://youtu.be/7P5AG5hkJao

[4] https://www.justerexpertwitness.com/case-directory

[5] Ehrenstein G, Riedel G, Trawiel P, Thermal Analysis of Plastics, Carl Hanser Verlag, Munich, 2004