基于声发射信号的精密外圆切入磨削加工时间优化及仿真

Optimization and Simulation on the Time of Precise Cylindrical Plunge Grinding Based on Acoustic Emission Signals

针对精密外圆切入磨削智能监控的需求,设计了一种基于声发射信号的精密外圆切入磨削加工时间的在线优化算法。通过建立AE信号RMS曲线理论模型,获得了声发射信号与磨削系统时间常数的关系,建立了优化前各阶段AE信号RMS曲线;编写外圆切入磨削加工时间的在线优化算法,通过试验分析磨削系统加工时间对加工精度及表面粗糙度的影响,并对优化算法进行验证,建立优化后各阶段AE信号RMS曲线。试验结果表明:该优化方法能够在保证总去除量不变的情况下缩短加工时间,为精密外圆切入磨削提高加工效率、改善加工工艺提供了重要依据。

In order to meet the requirement of intelligent monitoring for precise cylindrical plunge grinding, an online optimization algorithm with respect to the grinding time based on acoustic emission signals for precise cylindrical plunge grinding was designed. By establishing the theoretical model of acoustic emission（AE） signal root mean square（RMS） curves, the relationship between the acoustic emission signal and the time constant of grinding system was obtained, and the AE signal RMS curves at each stage before optimization were provided. By preparing a cylindrical plunge grinding time online optimization algorithm, through the test and analysis on the effect of processing time of grinding system on the machining accuracy and surface roughness, and validating the optimization algorithm, the AE signal RMS curves at each stage after optimization were also provided. The test results show that the optimization method can shorten the processing time and improve the processing efficiency, while the total removed amount of material can be ensured unchanged. The improvement of the processing technology provides an important basis for precision cylindrical plunge grinding.