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A dynamic threshold-based fuzzy adaptive control algorithm for hard sphere grinding

机译:基于动态阈值的硬球磨削模糊自适应控制算法

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摘要

Grinding wheel wearing fast and metal adhering were severe in hard sphere grinding, which led to wheel overload and clogging. If a fixed-feed grinding was used, the normal pressure between the workpiece and the grinding wheel increased rapidly. Once the grinding load on the grinding wheel was greater than the strength of the retaining bond bridges, a large amount of grains dropped out, which can even damage the wheel. This led to the sphere surface to be scratched. In this study, a dynamic threshold-based fuzzy adaptive control algorithm (DTbFACA) is proposed for hard sphere grinding to avoid scratches on the workpiece. The grinding force was indirectly obtained by measuring the motorized spindle current which was used as a feedback to control hard sphere grinding process. The current threshold in DTbFACA was obtained and online-rectified automatically. The depth of cut and the cup wheel swing speed that affect the motorized spindle current was online-adjusted by fuzzy algorithm. The experimental results indicated that DTbFACA can avoid scratches on the workpiece without sacrificing the sphere form error and grinding efficiency. DTbFACA has been implemented on MD6050 sphere grinding machine tool in production.
机译:硬球磨削中砂轮快速磨损和金属附着严重,导致砂轮过载和堵塞。如果使用固定进给磨削,则工件和砂轮之间的法向压力会迅速增加。一旦砂轮上的磨削载荷大于固定粘结桥的强度,大量的颗粒就会掉出,甚至会损坏砂轮。这导致球体表面被划伤。在这项研究中,提出了一种基于动态阈值的模糊自适应控制算法(DTbFACA),用于硬球磨削,以避免在工件上产生划痕。磨削力是通过测量电动主轴电流间接获得的,该电流用作控制硬球磨削过程的反馈。已获取DTbFACA中的当前阈值,并自动对其进行了在线校正。通过模糊算法在线调整影响电动主轴电流的切深和杯轮摆动速度。实验结果表明,DTbFACA可以避免在工件上产生划痕,而不会牺牲球体形状误差和磨削效率。 DTbFACA已在生产中的MD6050球磨机上实现。

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