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Parametric Optimization of Turning Process Using Evolutionary Optimization Techniques—A Review (2000–2016)

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 817))

Abstract

Manufacturing is the foundation of any industrialized country that involves making products from raw materials using various processes. Usually, casting and metal forming processes are used to produce most of the parts, and afterword, the parts are machined to obtain the desired size, shape and surface finish. The traditional machining processes, i.e., turning, milling, grinding, drilling, are widely used to obtain the desired product. The proper selection of process parameters is required to produce products at low cost, high quality and within time bound. Therefore, in past, researchers had optimized the process parameters to obtain the desired product. In the present study, the overview of turning process and the review of research related to optimization of turning process using evolutionary optimization techniques are carried out. The review period is selected from the year 2000 to 2016. The present review work is well-organized information in terms of objectives, process parameters, constraints and optimization techniques for optimization of turning process that can be beneficial for succeeding researchers to ascertain the gap in the research.

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Authors and Affiliations

  1. Mechanical Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, Surat, Gujarat, India

    Parthiv B. Rana, Jigar L. Patel & D. I. Lalwani

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  1. Parthiv B. Rana
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  2. Jigar L. Patel
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  3. D. I. Lalwani
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Correspondence to Parthiv B. Rana .

Editor information

Editors and Affiliations

  1. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  2. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  3. Department of Mathematics and Computer Science, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya Nagar

  4. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  5. School of Basic Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha, India

    Akshay Kumar Ojha

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Rana, P.B., Patel, J.L., Lalwani, D.I. (2019). Parametric Optimization of Turning Process Using Evolutionary Optimization Techniques—A Review (2000–2016). In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 817. Springer, Singapore. https://doi.org/10.1007/978-981-13-1595-4_13

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