|About this Abstract
||2023 TMS Annual Meeting & Exhibition
||Advances in Titanium Technology
||Development of a Digital Twin for Characterisation of Titanium Alloy Microstructural Features Employing In-Process Machining Data
||Thomas Childerhouse, Oliver Levano Blanch, Pete Crawforth, Martin Jackson
|On-Site Speaker (Planned)
This work presents a newly developed approach that employs cutting force data acquired during machining operations to characterise microstructural features of a workpiece. This non-destructive evaluation (NDE) technique offers capabilities at providing information regarding a workpiece’s processing history and microstructural properties using cutting force data captured during standard machining operations with conventional tooling. In this study, the machining force fluctuation response has been correlated to microstructural features, such as grain size and crystallographic texture and has been validated using conventional characterisation methods. The experiments performed demonstrate the possibility of rapidly characterising large areas (and in some cases, entire components), which would not be possible using conventional methods. This NDE technique offers manufactures a powerful quality assurance tool. By analysis of data acquired during roughing stages, non-conformant material can be identified early in the manufacturing process, whilst data captured during finishing can provide microstructural information directly linked to the in-service component.
||Characterization, Sustainability, Other