Conference Tools for 2025 TMS Annual Meeting & Exhibition

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About this Abstract
Meeting	2025 TMS Annual Meeting & Exhibition
Symposium	Novel Strategies for Rapid Acquisition and Processing of Large Datasets from Advanced Characterization Techniques
Presentation Title	Optimization of Automated Sample Polishing Enabled by the Characterization of Surface Roughness Evolution
Author(s)	Styler Theron Goring, Michael Pagan, Aaron Stebner
On-Site Speaker (Planned)	Styler Theron Goring
Abstract Scope	Many advanced characterization techniques are sensitive to the sample's surface, requiring extensive polishing. The current state of the art for automated polishing relies on preprogrammed recipes, specifying the duration spent on each polishing step. Little room exists for variation in the alloy or sample size, as insufficient or excess time spent can leave artifacts. This poses a challenge to curating large datasets from advanced characterization techniques, especially during the exploration of expansive material systems. This work aims to bypass the need for recipes through implementing progress monitoring. It develops a method for semi in-situ observation of surface roughness evolution, and applies it in a feedback loop during polishing. The influence of sample material on polishing is shown. Experiments demonstrate this method acting as a feedback system, and optimizing polishing parameters for various alloys, including Ti, Al, Mo, etc. It is shown detecting critical failures that can occur polishing.
Proceedings Inclusion?	Planned:
Keywords	Characterization, Process Technology, Other

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