Abstract In this paper the idea of Self-Optimizing Machining Systems (SOMS) is introduced and discussed. Against the background of Industry 4.0, here the focus is the technological level of discrete workpiece production by mechanical machining processes utilizing related machine tools and equipment. Enabling technologies, principles, and methods are described that allow for the implementation of machining systems which are capable of adapting their parameters and settings autonomously, in order to optimize for productivity, quality, and efficiency in manufacturing. Following a description of the meaning and a definition of SOMS as well as a historical retrospection, the required elements of SOMS are discussed and exemplary approaches are presented. Based on sophisticated process planning, monitoring, adaptive control, simulation, artificial intelligence, and machine learning, strategies, state-of-the-art solutions for self-optimization in machining applications are introduced. Several examples showcase how different types of enabling technologies can be integrated synergistically, to improve the manufacturing of parts by SOMS. Finally, the future potential of SOMS as well as challenges and needs are summarized. The paper especially considers the results of the CIRP Cross-STC Collaborative Working Group on SOMS.

中文翻译：

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自我优化加工系统

摘要 本文介绍并讨论了自优化加工系统（SOMS）的思想。在工业4.0的背景下，这里的重点是利用相关机床和设备的机械加工过程生产离散工件的技术水平。描述了启用技术、原理和方法，这些技术、原理和方法允许实施能够自主调整其参数和设置的加工系统，以优化制造的生产力、质量和效率。在描述 SOMS 的含义和定义以及历史回顾之后，讨论了 SOMS 所需的元素并介绍了示例性方法。基于复杂的过程规划、监控、自适应控制、模拟、介绍了人工智能和机器学习、策略、加工应用中自我优化的最先进解决方案。几个示例展示了如何协同集成不同类型的使能技术，以改进 SOMS 的零件制造。最后，总结了 SOMS 的未来潜力以及挑战和需求。本文特别考虑了 CIRP 跨 STC 协作工作组关于 SOMS 的结果。总结了 SOMS 的未来潜力以及挑战和需求。本文特别考虑了 CIRP 跨 STC 协作工作组关于 SOMS 的结果。总结了 SOMS 的未来潜力以及挑战和需求。本文特别考虑了 CIRP 跨 STC 协作工作组关于 SOMS 的结果。