A computer system for solving inverse and optimization problems

Rodič, Tomaž; Grešovnik, Igor

doi:10.1108/02644409810236902

Cited by 9 publications

(5 citation statements)

References 3 publications

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“…Finite element simulation tools were successfully utilized for calculation of influential parameters that are hard to measure directly. We anticipate enhancement of this approach by application of inverse identification techniques [37,38] and sensitivity analysis [39], but this exceeds the scope of the current work. CAE NN analysis gives us an insight into the spatial influence of the most important parameters of wear.…”

Section: Discussionmentioning

confidence: 98%

New starting points for the prediction of tool wear in hot forging

Turk

Peruš

Terčelj

2004

International Journal of Machine Tools and Manufacture

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Section: Discussionmentioning

confidence: 98%

New starting points for the prediction of tool wear in hot forging

Turk

Peruš

Terčelj

2004

International Journal of Machine Tools and Manufacture

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“…Fourment [18] suggested a shape optimisation method for a two-step forging process, while Vieilledent focused on the optimisation of the preform geometry using B-Splines [19]. The implementation of a shell for coupling FE analysis and shape die optimisation is described in the work of Rodic [20]. In a further contribution Ghouati and Gelin propose the optimal design of forming processes exploiting a seqential quadratic programming approach [21].…”

Section: State Of the Artmentioning

confidence: 99%

Development of a numerical compensation framework for geometrical deviations in bulk metal forming exploiting a surrogate model and computed compatible stresses

et al. 2021

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The optimal design of the tools in bulk metal forming is a crucial task in the early design phase and greatly affects the final accuracy of the parts. The process of tool geometry assessment is resource- and time-consuming, as it consists of experience-based procedures. In this paper, a compensation method is developed with the aim to reduce geometrical deviations in hot forged parts. In order to simplify the transition process between the discrete finite-element (FE) mesh and the computer-aided-design (CAD) geometry, a strategy featuring an equivalent surrogate model is proposed. The deviations are evaluated on a reduced set of reference points on the nominal geometry and transferred to the FE nodes. The compensation approach represents a modification of the displacement-compatible spring-forward method (DC-SF), which consists of two elastic FE analyses. The compatible stress originating the deviations is estimated and subsequently applied to the original nominal geometry. After stress relaxation, an updated nominal geometry of the part is obtained, whose surfaces represent the compensated tools. The compensation method is verified by means of finite element simulations and the robustness of the algorithm is demonstrated with an additional test geometry. Finally, the compensation strategy is validated experimentally.

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“…Stupkiewicz et al (2002) developed the sensitivity analyses for large-strain contact problems, Rodic and Gresovnik (1998) built a computational shell around the finite element system to solve inverse and optimisation problems, and Doltsinis and Rodic (1999) proposed gradient based methods for the optimisation of the forming process design. Kini (2004) applied the combination of FE model, response surface methodology (RSM), and stochastic simulation based on the Monte Carlo method in order to determine the influence of process parameters on the product dimensional accuracy.…”

Section: State Of the Art In Designing Reliable And Robust Cold Forgimentioning

confidence: 99%