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Intelligent computation techniques for process planning of cold forging

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Abstract

In this paper, two artificial intelligence (AI) techniques were applied to the problem of process planning in multiple-blow cold forging. Given the reduction in area of the product to be forged and the degree of formability of the material, in the first application a fuzzy logic (FL) technique was used to discriminate whether or not a cold forged product was feasible in a single blow. In the second application, a neural network (NN) architecture was used to identify the correct number of blows necessary to complete the cold forging process.

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Authors and Affiliations

  1. Department of Production Engineering, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy

    N. Alberti, R. Di Lorenzo & F. Micari

  2. Department of Materials and Production Engineering, University of Naples “Federico II”, Piazzale Tecchio 80, 80125, Naples, Italy

    R. Teti, P. Buonadonna & A. Manzoni

Authors
  1. N. Alberti
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  2. R. Di Lorenzo
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  3. F. Micari
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  4. R. Teti
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  5. P. Buonadonna
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  6. A. Manzoni
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Alberti, N., Lorenzo, R.D., Micari, F. et al. Intelligent computation techniques for process planning of cold forging. Journal of Intelligent Manufacturing 9, 353–359 (1998). https://doi.org/10.1023/A:1008982910847

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  • DOI: https://doi.org/10.1023/A:1008982910847

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