Forecasting the Reliability of Automated Grinding Systems on the Basis of Young's Modulus of Grinding Wheels

B. Słowiński
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引用次数: 2

Abstract

The paper presents the model of procedure and the results of forecasting the operational reliability of conventional grinding wheels applied to automated production systems. The forecasting was issued on the basis of Young’s modulus of these tools obtained from preoperational acceptance inspection. The model was verified during the process of internal grinding of bearing rings. Investigations were applied to 100 ceramic grinding wheels with the same characteristics. As a criterion for operational reliability were assumed: the grinding wheels radial wear Δrs, the maximum spindle power demand Pc and the arithmetical mean deviation of the roughness profile Ra. It was demonstrated that the operational reliability of tools under investigations was strictly interrelated the modulus E. Therefore; it can be used as a prognostic criterion for reliability of the system including these tools.
基于砂轮杨氏模量的自动化磨削系统可靠性预测
本文介绍了应用于自动化生产系统的常规砂轮运行可靠性预测的程序模型和结果。预测是根据这些工具的杨氏模量进行的,这些工具是在作业前验收检查中获得的。在轴承套圈内磨削过程中对该模型进行了验证。对100个具有相同特性的陶瓷砂轮进行了研究。以砂轮径向磨损Δrs、最大主轴功率需求Pc和粗糙度轮廓的算术平均偏差Ra作为工作可靠性的判据。结果表明,所研究的工具的运行可靠性与模量e密切相关。它可以作为包括这些工具在内的系统可靠性的预测标准。
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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