Consulting Service
Mechanical Test Data Analysis
A stress-strain curve is a summary, not an explanation. Analytical consulting that connects your tensile, fatigue, hardness, or impact data to the actual microstructural mechanism behind it — no lab work, pure interpretation.
Who this is for
The engineer with a stress-strain curve that does not match expectations and no clear explanation why. The researcher with an in-situ DIC dataset who needs the strain heterogeneity connected to actual microstructural features. The team whose fatigue data shows unexplained scatter that a standard lab report will not resolve.
This is analytical consulting, not lab work: you bring the data, I bring the interpretation that connects it to the material's actual behaviour.
What the consulting covers
Why me
My published research on zirconia-reinforced TRIP steel composites used in-situ tensile testing with digital image correlation to track exactly where and why strain localised and damage began — not just what the final curve looked like. That is the standard I bring to interpreting your data: connecting the number to the mechanism, not just reporting the number.
As a process engineer at TSMC, I needed a very specific understanding of how microstructural mechanisms connect to real-world material behavior. Dr. Qayyum bridged that gap between academic rigor and engineering practice in a way I hadn’t found anywhere else. — Shao-Shen Tseng, Design Engineer, TSMC, Taiwan
How it works
- 15-minute call. Share what data you have and what question it needs to answer. I tell you honestly whether the data can answer it or whether more measurement is needed.
- Scoped review. Most engagements run 1–3 weeks — a focused analysis of an existing dataset, not a new test campaign.
- Delivery. A written interpretation connecting the data to the mechanism, and where relevant, calibration-ready parameters for a simulation model.
Common questions
Do you run the tests, or just analyze results?
Analysis only — you or your lab runs the physical testing, I interpret what it means. If a specific additional measurement would resolve the question, I will tell you that too.
What format does the data need to be in?
Raw or processed data in any common format — spreadsheets, DIC output files, hardness maps. Messier data is fine; a quick review tells you what's usable.
Can this feed into a simulation model?
Yes, frequently the point. See crystal plasticity simulation consulting for the modeling side of that pipeline.
We have unexplained scatter in fatigue data. Can you help?
Usually yes — scatter almost always has a microstructural cause (inclusion population, surface finish variation, prior damage), and identifying it is a standard part of this service.
How fast can you turn around an analysis?
A focused review of a defined dataset: 1–3 weeks depending on complexity. Larger multi-test campaigns take longer and are scoped individually.
Start With 15 Minutes
Book a call and describe your data and the question it needs to answer. I will tell you honestly whether it can answer it as-is.
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