Work

Application of Machine Learning in the Precise and Cost-Effective Self-Compensation of the Thermal Errors of CNC Machine Tools – A Review

Year: 2022

Type: article

Abstract: The current development of production engineering takes place through the innovative improvement of machine tools and machining processes at the constantly growing application of intelligent self-improvement functions.Machine learning opens up possibilities for machine tool self-improvement in real time.This paper discusses the state of knowledge relating to the application of machine learning for precise and cost-effective thermal error self-compensation.Data acquisition and processing, models and model learning and self-learning methods are also considered.Three highly effective error compensation systems (supported with machine learning) are analysed and conclusions and recommendations for future research are formulated.

Source: Journal of Machine Engineering

DOI: 10.36897/jme/152246

Authors: Robert Czwartosz, Jerzy Jedrzejewski

Institution: Wrocław University of Science and Technology

Language: English

Topic: Advanced Measurement and Metrology Techniques

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $230

Funder: Narodowe Centrum Badań i Rozwoju