Application of the Finite Element Method to the Incremental Forming of Polymer Sheets: The Thermomechanical Coupled Model and Experimental Validations
Autor: | R. Dorado-Vicente, Gustavo Medina-Sanchez, A. García-Collado, Munish Kumar Gupta |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Work (thermodynamics) Thermoplastic Materials science Polymers and Plastics Constitutive equation 02 engineering and technology Article Set (abstract data type) lcsh:QD241-441 020901 industrial engineering & automation Finite Element Method (FEM) Rheology lcsh:Organic chemistry Approximation error incremental forming thermoplastic chemistry.chemical_classification business.industry Process (computing) General Chemistry Structural engineering 021001 nanoscience & nanotechnology Finite element method chemistry parallel rheological framework 0210 nano-technology business |
Zdroj: | Polymers Volume 12 Issue 8 Polymers, Vol 12, Iss 1715, p 1715 (2020) |
ISSN: | 2073-4360 |
DOI: | 10.3390/polym12081715 |
Popis: | Single Point Incremental Forming (SPIF) is an innovative die-less low-cost forming method. Until now, there have not been viable numerical solutions regarding computational time and accuracy for the incremental forming of polymers. Unlike other numerical approaches, this novel work describes a coupled thermomechanical finite element model that simulates the SPIF of polymer sheets, where a simple elastoplastic constitutive equation rules the mechanical behavior. The resulting simulation attains a commitment between time and accuracy in the prediction of forming forces, generated and transmitted heat, as well as final part dimensions. An experimental test with default process parameters was used to determine an adequate numerical configuration (element type, mesh resolution, and material model). Finally, compared to a set of experimental tests with different thermoplastics, the proposed model, which does not consider complex rheological material models, shows a good agreement with an approximation error of less than 11% in the vertical forming force prediction. |
Databáze: | OpenAIRE |
Externí odkaz: |