Improving the Accuracy of Parts Manufactured by Single Point Incremental Forming

Abstract:

The aim of this paper is to enrich the knowledge related to the single point incremental forming (SPIF) process by evaluating the efficiency of two optimization methods - the response surface method and the neural network method - to improve the accuracy of manufactured parts by prescribing a proper combination of the process parameters. The analysis is performed for a double frustum of pyramid made by stainless steel. It was found a good ability of prediction of both methods, demonstrating their suitability for physical implementation in solving problems associated to the SPIF process.

• Periodical: Applied Mechanics and Materials (Volume 332)
• Pages: 443-448
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.332.443
• Online since: July 2013
• Authors: Maria Crina Radu, Ion Cristea, Eugen Herghelegiu, Stefan Tabacu
• Keywords: Optimization Method, Part Accuracy, SPIF

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