Algorithm and experiment of estimation of time of precision cylindrical plunge grinding based on acoustic emission signal

Abstract

To satisfy the requirement of intelligence processing of precision cylindrical plunge grinding, an estimation method of grinding time of axis parts is presented using acoustic emission (AE) signal. The relationship between the grinding system time constant and the AE signal is presented by establishing the model of the root mean square (RMS) curve of the AE signals. The estimation of the grinding system time constant is proposed and the kinematics of wheel is analyzed by the on-line AE signals. According to deducing the model of size error in the precision cylindrical plunge grinding, the estimation algorithms of infeed and dwell times are established using the AE measurement. In addition, the estimation software is developed and the estimation methods are designed. The experiments were preformed to analyze the relationship of grinding time and machining qualities, such as surface roughness and size error, and verified the proposed algorithms. The experimental results indicate that this method can be used in the estimation of processing time of the precision cylindrical plunge grinding to ensure the grinding precision and improve the grinding efficiency for intelligence control and process optimizing. © 2014 Journal of Mechanical Engineering.