ANN-BASED CHIP-FORM CLASSIFICATION IN TURNING

Zsolt János Viharos, Sándor Markos, Csaba Szekeres

Abstract

Today’s complex manufacturing systems operate in a changing environment rife with uncertainty strengthening the requirement for developing production systems with the ability of self adaptation. Market competition forces production firms to work more and more efficiently. As a consequence, continuously increasing material removal rate and flexible automation tools, without active human supervision can be observed as trends also in the metal cutting industry. Monitoring the chip breaking process is one of the important factors for automated supervision. The paper presents artificial neural network (ANN) based models for identifying the cutting chip form based on measured monitoring data.

Keywords

Cutting chip, Monitoring, Neural network

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PWC-2003-TC10-014.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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