Optimization of internal plunge grinding using collaboration of the air-grinding and the material removal model based on the power signal

This paper introduces a new optimum method for internal plunge grinding by using the material removal model based on the power signals that were extracted from machine wheel spindle. An automatic grinding cycle optimization functional module is proposed to improve the process grinding efficiency while ensuring component quality requirements. Aiming at the productivity, the functional module encompasses a more comprehensive set of realistic constraints and the manufacturing values. By combining both the air-grinding reduction method and the grinding process optimization method, the functional module has been integrated to provide a new algorithm for analysis and optimization of bearing grinding process. In the paper, an experimental optimization example demonstrates a 33.6% reduction in production cycle time for bearing grinding process. The results confirm that this functional module can be used to save the total grinding cost greatly in industrial implication.