An investigation into use of different soft artificial intelligence techniques in mechanical engineering domain

Abstract

In the present era, of globalization and automation, artificial intelligence (AI) has come out as a better implement to solve many problems that require decision making. In this work, it has been tried to amalgamate the research work done related to application of soft computing techniques particularly in the area of mechanical engineering. A lot of researches have being carried out in this domain because it has been a pool of infinite scope for innovative works. This paper gives a quick view of the different applications of AI techniques, such as neural networks, fuzzy logic, neurofuzzy (NF), simulated annealing (SA), genetic algorithm (GA), genetic programming (GP), and data mining (DM), and provides a conscious view in the different paradigms of mechanical engineering where the soft computing techniques are separately used and even in combination with one another to perform certain tasks which if performed by human becomes a dreary task. Several applications of soft computing have been proposed in the literature to solve the problems related with complicated mechanical systems. It is felt that a review of the application in various mechanical areas would help to compare their main features and their relative advantages or limitations to allow choose the most suitable technique for a particular application and also throw light on aspects that needs further attention.