Automated technological support and improvement of the operational properties of machine parts

A. Suslov, D. Petreshin, M. Shalygin, Viktor Khandozhko
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Abstract

The article outlines two directions of automated engineering support for the operational properties of machine parts (wear resistance, contact stiffness, etc.). The first direction is a traditional one. It's a two-stage provision of the operational properties of machine parts: in the first stage it is the dimensioning of working surfaces quality of the part that determines the required values of operational properties; in the second stage it is technological provision of quality parameters for the working surfaces of machine parts. The second new direction is a single – stage automated engineering support for the current operational properties of machine parts, which has been actively developed over the past 25 years at the Bryansk State Technical University. It is based on the theoretical and experimental dependences of the relationship between the operational properties of machine parts directly with the processing modes of their working surfaces. Various automated systems of scientific research have been developed to obtain experimental dependencies. An example of such an automated system for studying contact stiffness is given. Adaptive control systems used on various machines for high-performance engineering support aimed at obtaining the required quality parameters of the treated surfaces and their operational properties have been developed. When processing new materials and taking into account the absence of theoretical and experimental data, it is possible to use self-learning technological systems. An example of such a system used for a lathe, is given. All these developments contribute to the creation of the machines with artificial intelligence.
自动化技术支持和改进机器部件的运行性能
文章概述了为机器零件的运行特性(耐磨性、接触刚度等)提供自动化工程支持的两个方向。第一个方向是传统方向。它分两个阶段提供机械零件的工作性能:第一阶段是确定零件工作表面质量的尺寸,以确定所需的工作性能值;第二阶段是在技术上提供机械零件工作表面的质量参数。第二个新方向是在过去的 25 年中,布良斯克国立技术大学积极开发了单级自动化工程技术,以支持当前机械零件的工作性能。该系统的理论和实验基础是机械零件的运行特性与其工作表面的加工模式之间的直接关系。为获得实验依赖关系,已开发出各种科学研究自动化系统。本文举例说明了研究接触刚度的自动化系统。在各种高性能工程支持机器上使用的自适应控制系统已经开发出来,其目的是获得所需的处理表面质量参数及其运行特性。在加工新材料时,考虑到缺乏理论和实验数据,可以使用自学习技术系统。我们将举例说明这种系统在车床中的应用。所有这些发展都有助于创造人工智能机器。
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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