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Prediction of Life of Compound Die Using Artificial Neural Network

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AI Applications in Sheet Metal Forming

Part of the book series: Topics in Mining, Metallurgy and Materials Engineering ((TMMME))

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Abstract

The present describes the research work involved in prediction of life of compound die using Artificial Neural Network (ANN). The parameters affecting the life of compound die are investigated through Finite Element Analysis (FEA) and the critical simulation values are determined. Based on FEA results, S–N approach is used for calculation of number of cycles of compound die. The number of cycles gives the number of sheet metal parts that can be produced on compound die before its failure. The proposed ANN model is tested successfully on different compound dies designed for manufacturing various industrial sheet metal parts.

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Authors and Affiliations

  1. Mechanical Engineering Department, JSPM Narhe Technical Campus, Pune, India

    Sachin Salunkhe

  2. Mechanical Engineering Department, S.V. National Institute of Technology, Surat, Gujarat, India

    Shailendra Kumar

  3. Mechanical Engineering Department, Helwan University, Cairo, Egypt

    Hussein M. A. Hussein

Authors
  1. Sachin Salunkhe
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  2. Shailendra Kumar
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  3. Hussein M. A. Hussein
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Correspondence to Sachin Salunkhe .

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Editors and Affiliations

  1. Mechanical Engineering Department, S.V. National Institute of Technology, Surat, Gujarat, India

    Shailendra Kumar

  2. Mechanical Engineering Department, Helwan University, Cairo, Egypt

    Hussein M. A. Hussein

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Salunkhe, S., Kumar, S., Hussein, H.M.A. (2017). Prediction of Life of Compound Die Using Artificial Neural Network. In: Kumar, S., Hussein, H. (eds) AI Applications in Sheet Metal Forming. Topics in Mining, Metallurgy and Materials Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-2251-7_9

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  • DOI: https://doi.org/10.1007/978-981-10-2251-7_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2250-0

  • Online ISBN: 978-981-10-2251-7

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