The Artificial Intelligence Applications in the Grinding Operation of the Machining Tools on the Surface of the Urban Asphalts

ABSTRACT: The creeping grinding operation of a tool steel blade was evaluated and experimented for removing the residual stains on the surface of the roads and streets. The surface smoothness of the sample was modeled through neural network and Fuzzy logic methods, and the working conditions were met and provided based on the incombustibly of work piece. The Fuzzy inferential system rules, and the neural network were modeled based on the experiments, and back propagation algorithms, respectively, and then the outputs were compared with real values. The results guarantee the lack of any changes and distortions in the material nature and the surface smoothness is provided and met which is influential on the expected functions of the work piece. At the same time, a precise determination of the surface smoothness (Ra) is done. According to the results, the cost efficiency, and the better quality of the product, the artificial intelligence-based methods and applications are suggested for this operation