Numerical optimization applied in sheet metal forming: Finite element modelling
Translated title
Numerisk optimering af pladeformgivning
Author
Matei, Petrut-Alexandru
Term
4. term
Education
Publication year
2016
Submitted on
2016-06-01
Pages
59
Abstract
Dette projekt, gennemført i samarbejde med Institut for Mekanik og Produktion, havde til formål at udvikle og afprøve en numerisk optimeringsalgoritme, der kan håndtere den komplekse, stærkt ikke-lineære adfærd i pladeformning (dvs. input og output er ikke proportionale). Vi analyserede først processen og dens kritiske trin. Derefter implementerede vi algoritmen og vurderede den ved hjælp af finit element (FE) software, som modellerer formningsprocessen gennem computersimuleringer. Der blev opbygget flere modeller og koblet til algoritmen. Simulationerne holdt sig inden for de fastsatte grænser, og algoritmen var stabil og fandt konsekvent optimale indstillinger på tværs af forskellige tilfælde. Resultaterne viser, at kombinationen af numerisk optimering og FE-simuleringer er et effektivt værktøj til pladeformning. På baggrund af resultaterne anbefales yderligere implementeringer for at forbedre den samlede procesydelse.
This project, conducted in collaboration with the Department of Mechanical and Manufacturing Engineering, aimed to develop and test a numerical optimization algorithm that can handle the complex, highly non-linear behavior in sheet metal forming (meaning inputs and outputs are not proportional). We first analyzed the process and its critical steps. We then implemented the algorithm and evaluated it using finite element (FE) software, which models the forming process through computer-based simulations. Several models were built and linked to the algorithm. The simulations stayed within the imposed limits, and the algorithm was stable, consistently finding optimal settings across different cases. These results show that combining numerical optimization with FE simulations is an effective tool for sheet metal forming. Based on the findings, further implementations are recommended to improve overall process performance.
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