Application of Artificial Neural Network for Modeling Surface Roughness in Machining Process—A Review

Abstract

In manufacturing industries, machining is the most important and widely used process. Modeling and optimization are two main objects in the machining process. For modeling any machining process, it requires the basic mathematical models for the formulation of process objective functions. The artificial intelligence methods such as artificial neural network have been applied by many authors due to more complex and nonlinear behavior of the machining process. This paper presents a comprehensive review of development and uses of artificial neural network in modeling surface roughness in machining. According to the previous study done by various authors, the capabilities and drawbacks of the ANN methods in modeling surface roughness have been presented. In addition, the future behavior of ANN in the modeling machining process has also been presented.