A Review of Artificial Intelligence Technologies to Achieve Machining Objectives

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Author(s): Deivanathan R. (VIT Chennai, India)
Copyright: 2019
Pages: 22
Source title: Cognitive Social Mining Applications in Data Analytics and Forensics
Source Author(s)/Editor(s): Anandakumar Haldorai (Sri Eshwar College of Engineering, India)and Arulmurugan Ramu (Presidency University, India)
DOI: 10.4018/978-1-5225-7522-1.ch008

Keywords: Data Analysis & Statistics / Information Science Reference / Library & Information Science / Social Computing

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Abstract

Bridging the design, planning and manufacturing departments of a production enterprise is not a conclusive effort for the implementation of computer integrated manufacturing. Continuous interaction and seamless exchange of information among these functions is needed and requires the maintenance of a large database and user-friendly search and optimization techniques. Among several artificial intelligence techniques capable of the above task, four important and popular ones are, expert systems, artificial neural networks, fuzzy logic and genetic algorithms. In this chapter, these four techniques have been conceptually studied in detail and exemplified by reviewing an application in the manufacturing domain. Successful implementations of artificial intelligence that are recently reported in machining domain are also reviewed, suggesting potential applications in the future.

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A Review of Artificial Intelligence Technologies to Achieve Machining Objectives

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