Tool Condition Monitoring in machining for the workpiece surface quality evaluation

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Tool Condition Monitoring in machining for the workpiece surface quality evaluation

DEL PRETE Antonio, NYBORG Lars, FRANCHI Rodolfo, PRIMO Teresa

Abstract. Achieving high surface quality is crucial in manufacturing, impacting product functionality and appearance. Poor quality can lead to defects, friction, and safety risks. Cutting tools endure harsh conditions and wear over time, affecting surface quality and increasing costs. Monitoring tool condition is vital for efficiency, reducing cycle times and downtime. Industries like aerospace and automotive require tight quality control for meeting standards. Historically, manual inspections and scheduled changes were used, but advanced technology now allows more efficient tool condition monitoring. The paper outlines a tool condition monitoring approach using sensors and machine learning to predict and classify tool conditions and workpiece surface quality. It integrates acoustic emission, accelerometer, and thermal infrared camera sensors into a lathe machine. Various machine learning algorithms are trained and validated to accurately predict tool and surface conditions. The most effective model is identified and presented.

Keywords
Tool Condition Monitoring, Machining, Surface Quality

Published online 4/24/2024, 10 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: DEL PRETE Antonio, NYBORG Lars, FRANCHI Rodolfo, PRIMO Teresa, Tool Condition Monitoring in machining for the workpiece surface quality evaluation, Materials Research Proceedings, Vol. 41, pp 2011-2020, 2024

DOI: https://doi.org/10.21741/9781644903131-222

The article was published as article 222 of the book Material Forming

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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