Decomposition of knowledge for automatic programming of CNC machines

IF 0.9 Q4 ENGINEERING, INDUSTRIAL

Management and Production Engineering Review Pub Date : 2023-11-06 DOI:10.24425/MPER.2019.128248

M. Kowalski, P. Zawadzki

引用次数: 5

Abstract

In the era of Industry 4.0, the automation of processes in the life cycle of a product seems to be a necessity. Although programming CNC machines with CAM systems make it possible, it is necessary to eﬀectively acquire knowledge about the programming process and technological requirements for eﬀective automation. The paper presents a method for decomposition of knowledge about the CNC machine programming process based on acquiring knowledge from various sources, both from technologists as well as on the basis of analysis of archival CNC control programs. To decompose the programming process, it is proposed to apply the knowledge model described by various attributes. Veriﬁcation of the method is shown in the process of knowledge decomposition for manufacturing special production tooling.

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数控机床自动编程知识分解

在工业4.0时代，产品生命周期过程的自动化似乎是必要的。虽然用CAM系统对数控机床进行编程使其成为可能，但为了实现有效的自动化，必须有效地掌握编程过程和技术要求方面的知识。本文提出了一种分解数控机床编程过程知识的方法，该方法是在技术人员和档案数控控制程序分析的基础上，从各种来源获取知识的。为了对编程过程进行分解，提出了应用各种属性描述的知识模型。以制造专用生产工装的知识分解为例，对该方法进行了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Management and Production Engineering Review ENGINEERING, INDUSTRIAL-

CiteScore

2.80

自引率

21.40%

发文量

期刊介绍： Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management.