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数控机床法向磨削力的控制试验研究
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国家自然科学基金面上项目(51775171)


Experimental Research on Adaptive Control of CNC Machine Tool Grinding Force
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    摘要:

    通过测量内表面磨床SUU600A加工和空载时电主轴功率,计算砂轮所受切向磨削力;根据经验算法计算法向磨削力,分析砂轮线速度、进给量、磨削深度对法向磨削力的影响,总结法向磨削力变化趋势;提出一种基于模糊PID的数控磨削加工磨削力实时控制方法。结果表明:使用模糊PID磨削力控制系统加工时,可实现对磨削力实时修调,使它始终保持恒定或在预定的范围内,从而提升磨削效率。通过试验,对磨削效率提升进行了验证。

    Abstract:

    The tangential grinding force of the grinding wheel was calculated by measuring the power of the electric spindle during the machining and no-load of the inner surface grinder SUU600A; the normal grinding force was calculated according to the empirical algorithm, and the influences of grinding wheel linear speed, feed rate, grinding depth on the normal grinding force were analyzed, and the change trend of the normal grinding force was summarized; a fuzzy PID control method for grinding force in the CNC grinding process was proposed. The results show that when using the fuzzy PID grinding force control system, the grinding force can be adjusted in real time to keep it constant or within a predetermined range, so the grinding efficiency is improved; the improvement of grinding efficiency is verified by experiments.

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苏建新,刘光宗,杨俊涛,孙亚琼,李洪伟.数控机床法向磨削力的控制试验研究[J].机床与液压,2022,50(1):25-28.
SU Jianxin, LIU Guangzong, YANG Juntao, SUN Yaqiong, LI Hongwei. Experimental Research on Adaptive Control of CNC Machine Tool Grinding Force[J]. Machine Tool & Hydraulics,2022,50(1):25-28

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  • 在线发布日期: 2022-05-13
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