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

Q2 Engineering
Robert Czwartosz, J. Jedrzejewski
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引用次数: 2

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.
机器学习在数控机床热误差精确、经济自补偿中的应用综述
当前生产工程的发展是通过对机床和加工工艺的创新改进,在不断增长的智能自我完善功能应用中实现的。机器学习为机床实时自我改进开辟了可能性。本文讨论了与机器学习应用于精确且经济高效的热误差自补偿相关的知识现状。还考虑了数据采集和处理、模型以及模型学习和自学习方法。分析了三种高效的误差补偿系统(由机器学习支持),并为未来的研究提出了结论和建议。
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来源期刊
Journal of Machine Engineering
Journal of Machine Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
2.70
自引率
0.00%
发文量
36
审稿时长
25 weeks
期刊介绍: ournal of Machine Engineering is a scientific journal devoted to current issues of design and manufacturing - aided by innovative computer techniques and state-of-the-art computer systems - of products which meet the demands of the current global market. It favours solutions harmonizing with the up-to-date manufacturing strategies, the quality requirements and the needs of design, planning, scheduling and production process management. The Journal'' s subject matter also covers the design and operation of high efficient, precision, process machines. The Journal is a continuator of Machine Engineering Publisher for five years. The Journal appears quarterly, with a circulation of 100 copies, with each issue devoted entirely to a different topic. The papers are carefully selected and reviewed by distinguished world famous scientists and practitioners. The authors of the publications are eminent specialists from all over the world and Poland. Journal of Machine Engineering provides the best assistance to factories and universities. It enables factories to solve their difficult problems and manufacture good products at a low cost and fast rate. It enables educators to update their teaching and scientists to deepen their knowledge and pursue their research in the right direction.
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