The Smart Machining Expert System uses the techniques of neural network and particle swarm optimization algorithm to train the empirical model analogy to a master operator. The user only needs to select the three intuitive machining performance requirements.Then the most suitable processing parameters are recommended and the required parameter setting is automatically completed through the controller communication.

By combining CPS,  algorithm, and predicting system, the smart machining expert system provide users proper set of parameters for various  options, and to facilitate small amount but diversity type of production. International companies already provide similar simple and intelligent operating features, this technology conforms to the development direction of big companies from Japan and Germany.

With the evolution of society and technology, today＇s processed products have gradually evolved toward a trend of diversification and refinement.The Smart Machining Expert system communicates with the machine tool controller to obtain control signals, and collects the data measured by the machining process and results to evaluate how machine performs in the context of machining speed, accuracy, and surface quality.