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Projects / Programmes source: ARIS

Development of computational tools for optimisation of forming processes

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Research activity

Code Science Field Subfield
2.05.03  Engineering sciences and technologies  Mechanics  Numerical modelling 

Code Science Field
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
Keywords
forming processes, numerical modelling, optimisation, shape parametrisation
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (2)
no. Code Name and surname Research area Role Period No. of publications
1.  15827  PhD Igor Grešovnik  Economics  Head  2002 - 2004  83 
2.  16096  PhD Tomaž Šuštar  Mathematics  Researcher  2002 - 2004  46 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  1533  Centre for Computational Continuum Mechanics  Ljubljana  5663270  83 
Abstract
The project is primarily concerned with developmant of numerical tools for optimal design of forming processes. Existing software packages for numerical simulation ("Elfen" and "FEM driver") and optimisation (the optimisation shell "Inverse") will be used as a basis of our research. These packages will be upgraded by new tools, which will facilitate solution of a variety of common optimisation problems in forming technology. The appropriate material models and algorithms for evaluation of the corresponding sensitivity terms will be incorporated in the simulation software. Convenient oprimisation algorithms and interface with simulation software will be incorporated in the optimisation shell. A shape parametrisation module utilising two stage transforms from reference to physical space will be developed. This module will enable calculation of input geometrical data for finite element computation in sense of the finite element mesh corresponding to values of design parameters. It will also enable effective evaluation of sensitivities of this data with respect to optimisation parameters. The developed methodology will be demonstrated on a solution of a representative industrial problem. This problem will be picked from one of important problem classes in forming technology, such as optimal prestressing of forming tools or optimisation of pre-forms at multistage forming.
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