Ivan Scansani Gregori

Ivan Scansani Gregori

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Ivan Roger Scansani Gregori holds a Ph.D. in Engineering and is an Engineering Manager at ZF. He has more than thirty years of experience working with friction materials, tribology, and signal analysis, applying multivariate statistics and machine learning to real-world problems in clutch and transmission systems. He has also joined his son’s platform to help create high-quality content based on his expertise.

Artificial Intelligence Tribology & Friction Signal Processing Reliability & Testing
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Finding the Hidden Process Variables Behind Clutch Facing Burst Resistance

Multivariate exploratory analysis of eight process variables identified two that correlate with burst resistance — one positively, one negatively — and process changes based on that finding raised both burst resistance and reliability.

Finding the Hidden Process Variables Behind Clutch Facing Burst Resistance
Linking Bench Wear to Vehicle Mileage with DOE and Weibull Analysis

Design of experiments and Weibull analysis are used to correlate friction facing wear on a bench test with vehicle mileage, making it possible to estimate field durability from bench results.

Linking Bench Wear to Vehicle Mileage with DOE and Weibull Analysis
Building a Test Procedure for Friction Facing Durability

The original presentation of a bench test procedure built to contain the full range of vehicle operating conditions, so that friction facing durability can be studied without depending on uncontrolled field data.

Building a Test Procedure for Friction Facing Durability

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