Application of neural network and fuzzy model to grinding process control

Abstract

Grinding is a machining process for removing material from a workpiece by using an expendable grinding wheel. The paper presents, a control system for grinding process using neural network and fuzzy technique. It was discovered that the maximum grinding temperature was very important since too high temperature would lead to surface burns and thermal damage to the grinding wheel as well as the workpiece material. A neuro-fuzzy model was used to analyze the grinding wheel performance index as it affects the general grinding operations of the grinding process. The research work can be applied to any other grinding process, whether wet or dry grinding process.