Title: Bending processes precision and efficiency in the design and production of metal plates

Authors: Bruno Silva; António Rocha; Daniel Miranda; Filipe J.P. Chaves

Addresses: Polytechnic Institute of Cávado and Ave, School of Technology, Portugal ' Polytechnic Institute of Cávado and Ave, School of Technology, Portugal; 2Ai – Applied Artificial Intelligence Laboratory, Campus do IPCA, Vila Frescainha, S. Martinho, 4750-810 Barcelos, Portugal ' Polytechnic Institute of Cávado and Ave, School of Technology, Portugal; 2Ai – Applied Artificial Intelligence Laboratory, Campus do IPCA, Vila Frescainha, S. Martinho, 4750-810 Barcelos, Portugal ' Polytechnic Institute of Cávado and Ave, School of Technology, Portugal; 2Ai – Applied Artificial Intelligence Laboratory, Campus do IPCA, Vila Frescainha, S. Martinho, 4750-810 Barcelos, Portugal

Abstract: This paper is focused on enhancing productivity and efficiency in the bending process of metal plates. With increasing demands for precision and productivity, companies must optimise their processes and resources. The project addresses the challenge of achieving reliability and efficiency in the bending process, considering various factors that influence metal sheet behaviour during bending. The project proposes a method that combines parametric modelling with the final piece after bending, utilising SolidWorks CAD software. By executing specimens of common bending angles, measuring bend deductions, and creating specific bending tables for SolidWorks, the project aims to improve bending reliability and effectiveness while reducing design times and errors. The results provide evidence of significant time reductions in CAD software treatments and effective production of compliant bending parts. The project also emphasises the importance of continuous process refinement for companies to maintain their competitiveness in the industry.

Keywords: bend deduction; statistical process control; SolidWorks modelling; metal plates; precision; efficiency.

DOI: 10.1504/IJMATEI.2024.144235

International Journal of Materials Engineering Innovation, 2024 Vol.15 No.4, pp.339 - 364

Received: 10 Sep 2023
Accepted: 26 Oct 2023
Published online: 03 Feb 2025 *

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