Work

Similarity-based anomaly detection method for turning of multi-material workpieces with varying axially constant blank diameter

Year: 2025

Type: article

Abstract: Geometry and hardness fluctuations of formed blanks are challenging for process monitoring of the subsequent machining process because they lead to deviating process forces during roughing. Ordinary anomaly detection methods require the forces to be similar. In this work, a similarity-based anomaly detection method is proposed that utilizes Dynamic Time Warping to achieve robustness against blank fluctuations during roughing. It extracts the average signal shape from training signals, scales it individually for each novel process, and uses confidence limits for anomaly detection. The method is tested with multi-material shafts whose blank diameter is axially constant but varies between workpieces.

Source: CIRP journal of manufacturing science and technology

DOI: 10.1016/j.cirpj.2025.09.014

Authors: Berend Denkena, Benjamin Bergmann, Henning Buhl, Miriam Handrup

Institution: Leibniz University Hannover

Language: English

Topic: Advanced machining processes and optimization

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,950

Funder: Deutsche Forschungsgemeinschaft