From High Accuracy to High Efficiency in Simulations of Processing of Dual-Phase Steels

Rauch, Ł.; Kuziak, R.; Pietrzyk, M.

doi:10.1007/s11663-013-9926-5

Cited by 28 publications

(12 citation statements)

References 10 publications

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“…Fine scale models classically feature local variables, averaged over a Representative Volume Element (RVE) or a Statistical Volume Element (SVE) [5,6]. In a coarse domain, an instance of the fine scale model needs to be run for each computational point.…”

Section: Agile Multiscale Modeling Technology (Am3)mentioning

confidence: 99%

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Methodology for metamodelling of microstructure evolution: precipitation kinetic case study

2018

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Numerical modeling is an important tool assisting in the designing and optimization of the production technology. The highest predictive capabilities are offered by multiscale modeling. The most important limitation of its wide application is computational cost. One of possible solutions is application of metamodels for fine scale modeling. In this paper, a systematic approach to development of metamodels is presented. All necessary steps, analyzing the model, selecting the metamodel inputs and outputs, gathering the training and testing datasets, choosing a metamodelling technique, training and testing the metamodel are described with a scientific background and practical examples. Development of the exemplary metamodel, replacing thermodynamic modeling of precipitation kinetic is presented.

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Section: Agile Multiscale Modeling Technology (Am3)mentioning

confidence: 99%

“…The most of metamodels described in the literature represents history-independent values (e.g. [5,6]). In the case described in this paper, the metamodelled relationships are history-dependent, non-linear and non-differentiable.…”

mentioning

confidence: 99%

Methodology for metamodelling of microstructure evolution: precipitation kinetic case study

2018

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“…Model reduction seems to be the most important possibility of decrease of the optimization costs. Among few possible methods sensitivity analysis and statistical representation of material microstructure (in multiscale modelling Statistically Similar Representative Volume Element (SSRVE) is used instead of RVE [15]) seem to be the most important in optimization of metal forming cycles. In the present work a new aspect was considered, which uses the practical engineering knowledge of experts in combination with optimization methods.…”

Section: Fig 2 Conventional and New Approach To The Manufacturing Cmentioning

confidence: 99%

Application of Numerical and Physical Simulation to Design of the Best Manufacturing Technology for Fasteners

Kusiak¹,

Skóra²,

Rauch³

et al. 2015

Archives of Metallurgy and Materials

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The development of the best manufacturing technology for fasteners was the subject of this work. Physical and numerical simulations were used to evaluate various technological variants. Possibility of application of new generation bainitic steels was considered, as well. Improvement of exploitation properties was the objective of the optimization having in mind tool wear and manufacturing costs as constraints. Several fasteners were investigated but results for three parts, including Allen screw, screw anchors used to carry concrete plates are presented as a case study. Industrial trials were performed and confirmed correctness of the designed manufacturing technology.Keywords: forging, fasteners, optimization Przedmiotem pracy była metodyka projektowania najlepszej technologii wytwarzania elementów złącznych. Różne warianty technologiczne były przedmiotem symulacji fizycznych i numerycznych. Rozważono również możliwość zastosowania nowych materiałów w postaci stali bainitycznych. Celem optymalizacji była poprawa własności eksploatacyjnych wyrobów natomiast zużycie narzędzi i koszty wytwarzania wprowadzono jako ograniczenia. Rozważono cały szereg elementów złącznych ale w pracy zamieszczono wyniki dla trzech wyrobów, a mianowicie śruby imbusowej, kotwy do betonu oraz niestandardowej śruby z kwadratową główką. Wykonane próby przemysłowe potwierdziły prawidłowość zaproponowanych technologii wytwarzania tych elementów.

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“…On the other hand, the efficient and reliable application of modern models combined with iterative optimization techniques is strongly dependent on the correctness of material's behaviour description. Selection of the best models, having in mind their predictive capabilities and computing costs, is crucial in this research [5]. Multi physics models, which combine thermal, mechanical and thermodynamic phenomena, are used to account for the microstructural features of the material.…”

Section: Introductionmentioning

confidence: 99%

Through Process Modelling of Rolling and Controlled Cooling of TRIP Assisted Bainitic Steel Rods and Prediction of the Retained Austenite in Products

Kuziak

Kania

Pidvysotskyy

et al. 2017

MSF

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Abstract. Simulation of the rolling and controlled cooling sequence for bainitic steel rods was the general objective of the paper. The main focus was put on exploring possibility of prediction of the retained austenite occurrence in TRIP assisted bainitic steels. Existing discrete phase transformation models require long computing times and their application to optimization of industrial processes is limited. Therefore, a model based on the modified JMAK equation was proposed. The occurrence of the retained austenite was predicted by carbon distribution calculations in the austenite during bainite transformation. This model was implemented into the FE software for simulation of cooling of rods. The model was verified by comparison of results with the physical simulations during rolling in the pilot mill and during cooling. The first part of the paper contains thermal-mechanicalmicrostructural simulations of rod hot rolling process. The objective of this part was to determine temperature and grain size distribution at the rod cross section at the beginning of phase transformations. FE simulations of the cooling were performed next. Correlation between cooling parameters and the volume fraction of the retained austenite in rod was determined.

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From High Accuracy to High Efficiency in Simulations of Processing of Dual-Phase Steels

Cited by 28 publications

References 10 publications

Methodology for metamodelling of microstructure evolution: precipitation kinetic case study

Methodology for metamodelling of microstructure evolution: precipitation kinetic case study

Application of Numerical and Physical Simulation to Design of the Best Manufacturing Technology for Fasteners

Through Process Modelling of Rolling and Controlled Cooling of TRIP Assisted Bainitic Steel Rods and Prediction of the Retained Austenite in Products

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