SimuSage – the component library for rapid process modeling and its applications

Petersen, Stephan; Hack, Klaus; Monheim, P.; Pickartz, U.

doi:10.3139/146.101552

Cited by 28 publications

(10 citation statements)

References 6 publications

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“…[21] Various basic unit operation components are available in SimuSage, such as chemical reactor, mixer, splitter, iterator, etc. Databases involved in the simulation model were imported from FactSage databases.…”

Section: Model Toolsmentioning

confidence: 99%

Inclusion Development in Steel During Ladle Metallurgical Treatment ‐ A Process Simulation Model – Part: Industrial Validation

Scheller

Shu

2014

steel research int.

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Steel cleanliness strongly affects the properties of the products. There is an ever increasing requirement of strict control of inclusion composition and amount during ladle treatment. A comprehensive model for inclusion development in gas stirred ladles developed by the authors is validated in the industrial ladle treatment processes. It can be used for the process simulation and optimization. The important factors, like stirring intensity, reaction between steel and slag as well as refractory material, and the conditions needed for separation and floatation of non-metallic inclusions are taken into account. FactSage and SimuSage packages are employed as the thermodynamics database and simulation tools, respectively. The evolution of steel and slag composition along with the amount and composition of inclusions during the ladle treatment are calculated and compared with results from the industrial process. The comparison between model predictions and actual plant data shows good agreement as well for 210 t heats as for 30 t heats and different steel grades. The present model is a useful tool for simulation and optimization of ladle metallurgical treatments in industry.

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Section: Model Toolsmentioning

confidence: 99%

Inclusion Development in Steel During Ladle Metallurgical Treatment ‐ A Process Simulation Model – Part: Industrial Validation

Scheller

Shu

2014

steel research int.

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“…ChemSheet has been used for a wide variety of projects from the areas of aqueous and process chemistry, metallurgy, combustion technology, constitutional thermochemistry, and more. SimuSage, which is described in detail in a separate article elsewhere in this volume [42], combines the rigorous Gibbs energy thermochemistry with the rapid application development (RAD) environment and visual programming concept of Borland Delphi â in order to allow for the fast and completely customizable creation of process simulation applications. Both software products are available through GTT-Technologies [43,44].…”

Section: Software Productsmentioning

confidence: 99%

“…SimuSage is a visual component library for flowsheeting tasks based on ChemApp for Borland Delphi, and is described in a separate article elsewhere in this volume [42]. Table 2.…”

Section: Supported Compilers and Hardware Platformsmentioning

confidence: 99%

The thermochemistry library ChemApp and its applications

Petersen

Hack

2007

International Journal of Materials Research

Self Cite

113

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The thermochemistry library ChemApp and its applications Dedicated to Dr. Gunnar Eriksson on the occasion of his 65th birthdayChemApp is a thermochemical software library which enables the user to perform thermochemical calculations across a wide spectrum of applications by providing an easily programmable interface to complex equilibrium calculation techniques for multicomponent, multiphase chemical systems. ChemApp is described, and an overview of selected application examples from areas such as metallurgy, gas phase and aqueous chemistry, combustion technology, corrosion, geochemistry, and more is given.

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“…The present concept applies an easily solvable analytical model coupled with the thermodynamic library ChemApp and with both commercial and self‐optimized databases in the background. The optimization of the databases is an ongoing activity and based on extensive DSC measurements of high‐temperature phase transformations in Fe–C–Si–Mn–Al systems .…”

Section: Introductionmentioning

confidence: 99%

Microsegregation Model with Local Equilibrium Partition Coefficients During Solidification of Steels

You

Bernhard

Wieser

et al. 2015

steel research int.

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A microsegregation model with local partition coefficients and temperature-dependent diffusion coefficients based on the model of Ohnaka (I. Ohnaka, Trans. Iron Steel Ins. Jpn. 1986Jpn. , 26, 1045) is proposed. In this model, multicomponent alloy effects and precipitations are considered, and the peritectic reaction can be indicated using the thermodynamic library ChemApp. The proposed model is validated by comparing the results to other models from the literature and to measured data. Local partition coefficients are calculated, and their significant influence on microsegregation prediction is shown. The characteristic temperatures determined using the proposed model are in good agreement with measured values.

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SimuSage – the component library for rapid process modeling and its applications

Cited by 28 publications

References 6 publications

Inclusion Development in Steel During Ladle Metallurgical Treatment ‐ A Process Simulation Model – Part: Industrial Validation

Inclusion Development in Steel During Ladle Metallurgical Treatment ‐ A Process Simulation Model – Part: Industrial Validation

The thermochemistry library ChemApp and its applications

Microsegregation Model with Local Equilibrium Partition Coefficients During Solidification of Steels

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