砥石ドレッシング音による加工状態の予測 : 線形予測法とニューラルネットワークによる検討

概要

論文の詳細を見る
Dressing of grinding wheel is a process for tuning the conditions of the wheel working periphery. Therefore, sounds emitted during dressing may be closely related to wheel conditions necessary to obtain particular characteristics of machined surfaces, If the conditions of the wheel working periphery change only a little with grinding time, the grinding states will be predicted based on dressing sounds. The purpose of this paper is to construct a system for predicting surface finish and grinding forces based on dressing sounds. First dressing sound is processed by linear prediction method to obtain its feature of power spectrum as a vector with auto-regressive coeffircients. Then a neural network is used to relate a feature vector to surface finish or ginding forces. As result, it is verified that a developed system is applicable to the prediction of the grinding states.
公益社団法人精密工学会の論文
2001-01-05