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Optimization techniques applied to single point incremental forming process for biomedical application

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Abstract

Single point incremental forming (SPIF) process has the potential to replace conventional sheet forming process in industrial applications. For this, its major defects, especially poor geometrical accuracy, should be overcome. This process is influenced by many factors such as step size, tool diameter, and friction coefficient. The optimum selection of these process parameters plays a significant role to ensure the quality of the product. This paper presents the optimization aspects of SPIF parameters for titanium denture plate. The optimization strategy is determined by numerical simulation based on Box–Behnken design of experiments and response surface methodology. The Multi-Objective Genetic Algorithm and the Global Optimum Determination by Linking and Interchanging Kindred Evaluators algorithm have been proposed for application to find the optimum solutions. Minimizing the sheet thickness, the final achieved depth and the maximum forming force were considered as objectives. For results evaluation, the denture plate was manufactured using SPIF with the optimum process parameters. The comparison of the final geometry with the target geometry was conducted using an optical measurement system. It is shown that the applied method provides a robust way for the selection of optimum parameters in SPIF.

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Acknowledgements

The authors would like to thank the German Research Foundation DFG for the kind support within the Cluster of Excellence “Integrative Production Technology for High-Wage Countries”. Furthermore, the authors thank the Institute of Metal Forming of RWTH Aachen University for their support in the performance and evaluation of the incremental sheet forming experiments.

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Authors and Affiliations

  1. Mechanical Engineering Laboratory, National Engineering School of Monastir, University of Monastir, 5019, Monastir, Tunisia

    M. Sbayti, R. Bahloul & H. BelHadjSalah

  2. Laboratory of Mechanics of Sousse, National School of Engineers of Sousse, University of Sousse, 4023, Sousse, Tunisia

    F. Zemzemi

Authors
  1. M. Sbayti
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  2. R. Bahloul
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  3. H. BelHadjSalah
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  4. F. Zemzemi
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Correspondence to M. Sbayti.

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Sbayti, M., Bahloul, R., BelHadjSalah, H. et al. Optimization techniques applied to single point incremental forming process for biomedical application. Int J Adv Manuf Technol 95, 1789–1804 (2018). https://doi.org/10.1007/s00170-017-1305-y

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  • DOI: https://doi.org/10.1007/s00170-017-1305-y

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