Chemsheet as a simulation platform for pyrometallurgical processes

Karri Penttilä, Justin Salminen, N Tripathi, Pertti Koukkari

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

ChemSheet is a thermodynamic multi-phase multi-component simulation software, which is used as an Add-in in Microsoft Excel. In ChemSheet, the unique Constrained Gibbs free energy method can be used to include dynamic constraints and reaction rates of kinetically slow reactions, yet retaining full consistency of the multiphase thermodynamic model. With appropriate data, ChemSheet models can be used to simulate reactors and processes in all fields of thermochemistry. The presentation will cover off-line modeling of Cu-flash smelters and advanced thermochemical simulation coupled with on-line process control of Cu-Ni smelting. The presentation will describe an off-line model of Cu-smelter based on critically assessed properties of the Al-Ca-Cu-Fe-O-S-Si- system (slag, matte and liquid metal) by using the quasichemical model. A four-stage reactor model (shaft, settler, uptake and bath) is used for optimizing process parameters and feed particle distribution. As a second example, an advanced thermochemical model of a Ni-Cu sulphide smelting plant will be given. The on-line model covers the operation of treating Ni-Cu-S concentrate via roasters, electric furnace and converters, producing a high grade Bessemer matte product for further refining. The model integrates the thermochemistry of the roasters and electric furnace, and predicts important process parameters such as degree of sulphur elimination in the fluid-bed roasters, matte grade, iron metallization, slag losses and the iron to silica ratio in the electric furnace slag. Both models can be used to assist process engineers and operators in calculating the addition rates of coke, flux and air for different feed scenarios
Original languageEnglish
Title of host publicationCelebrating the Megascale Proceedings of the Extraction and Processing Division Symposium on Pyrometallurgy in Honor of David G.C. Robertson
Pages377-384
ISBN (Electronic)978-3-319-48234-7
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventCelebrating the Megascale: Extraction and Processing Division Symposium on Pyrometallurgy in Honor of David G.C. Robertson: TMS 2014 143rd Annual Meeting and Exhibition - San Diego, CA, United States
Duration: 16 Feb 201420 Feb 2014

Conference

ConferenceCelebrating the Megascale: Extraction and Processing Division Symposium on Pyrometallurgy in Honor of David G.C. Robertson: TMS 2014 143rd Annual Meeting and Exhibition
CountryUnited States
CitySan Diego, CA
Period16/02/1420/02/14

Fingerprint

Electric furnaces
Slags
Thermochemistry
Smelting
Electric converters
Thermodynamics
Iron
Gibbs free energy
Metallizing
Liquid metals
Coke
Refining
Reaction rates
Process control
Mathematical operators
Sulfur
Silica
Fluxes
Engineers
Fluids

Keywords

  • Multiphase thermodynamic calculation
  • online model
  • simulation of smelting process

Cite this

Penttilä, K., Salminen, J., Tripathi, N., & Koukkari, P. (2014). Chemsheet as a simulation platform for pyrometallurgical processes. In Celebrating the Megascale Proceedings of the Extraction and Processing Division Symposium on Pyrometallurgy in Honor of David G.C. Robertson (pp. 377-384) https://doi.org/10.1007/978-3-319-48234-7_35
Penttilä, Karri ; Salminen, Justin ; Tripathi, N ; Koukkari, Pertti. / Chemsheet as a simulation platform for pyrometallurgical processes. Celebrating the Megascale Proceedings of the Extraction and Processing Division Symposium on Pyrometallurgy in Honor of David G.C. Robertson. 2014. pp. 377-384
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abstract = "ChemSheet is a thermodynamic multi-phase multi-component simulation software, which is used as an Add-in in Microsoft Excel. In ChemSheet, the unique Constrained Gibbs free energy method can be used to include dynamic constraints and reaction rates of kinetically slow reactions, yet retaining full consistency of the multiphase thermodynamic model. With appropriate data, ChemSheet models can be used to simulate reactors and processes in all fields of thermochemistry. The presentation will cover off-line modeling of Cu-flash smelters and advanced thermochemical simulation coupled with on-line process control of Cu-Ni smelting. The presentation will describe an off-line model of Cu-smelter based on critically assessed properties of the Al-Ca-Cu-Fe-O-S-Si- system (slag, matte and liquid metal) by using the quasichemical model. A four-stage reactor model (shaft, settler, uptake and bath) is used for optimizing process parameters and feed particle distribution. As a second example, an advanced thermochemical model of a Ni-Cu sulphide smelting plant will be given. The on-line model covers the operation of treating Ni-Cu-S concentrate via roasters, electric furnace and converters, producing a high grade Bessemer matte product for further refining. The model integrates the thermochemistry of the roasters and electric furnace, and predicts important process parameters such as degree of sulphur elimination in the fluid-bed roasters, matte grade, iron metallization, slag losses and the iron to silica ratio in the electric furnace slag. Both models can be used to assist process engineers and operators in calculating the addition rates of coke, flux and air for different feed scenarios",
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Penttilä, K, Salminen, J, Tripathi, N & Koukkari, P 2014, Chemsheet as a simulation platform for pyrometallurgical processes. in Celebrating the Megascale Proceedings of the Extraction and Processing Division Symposium on Pyrometallurgy in Honor of David G.C. Robertson. pp. 377-384, Celebrating the Megascale: Extraction and Processing Division Symposium on Pyrometallurgy in Honor of David G.C. Robertson: TMS 2014 143rd Annual Meeting and Exhibition, San Diego, CA, United States, 16/02/14. https://doi.org/10.1007/978-3-319-48234-7_35

Chemsheet as a simulation platform for pyrometallurgical processes. / Penttilä, Karri; Salminen, Justin; Tripathi, N; Koukkari, Pertti.

Celebrating the Megascale Proceedings of the Extraction and Processing Division Symposium on Pyrometallurgy in Honor of David G.C. Robertson. 2014. p. 377-384.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - ChemSheet is a thermodynamic multi-phase multi-component simulation software, which is used as an Add-in in Microsoft Excel. In ChemSheet, the unique Constrained Gibbs free energy method can be used to include dynamic constraints and reaction rates of kinetically slow reactions, yet retaining full consistency of the multiphase thermodynamic model. With appropriate data, ChemSheet models can be used to simulate reactors and processes in all fields of thermochemistry. The presentation will cover off-line modeling of Cu-flash smelters and advanced thermochemical simulation coupled with on-line process control of Cu-Ni smelting. The presentation will describe an off-line model of Cu-smelter based on critically assessed properties of the Al-Ca-Cu-Fe-O-S-Si- system (slag, matte and liquid metal) by using the quasichemical model. A four-stage reactor model (shaft, settler, uptake and bath) is used for optimizing process parameters and feed particle distribution. As a second example, an advanced thermochemical model of a Ni-Cu sulphide smelting plant will be given. The on-line model covers the operation of treating Ni-Cu-S concentrate via roasters, electric furnace and converters, producing a high grade Bessemer matte product for further refining. The model integrates the thermochemistry of the roasters and electric furnace, and predicts important process parameters such as degree of sulphur elimination in the fluid-bed roasters, matte grade, iron metallization, slag losses and the iron to silica ratio in the electric furnace slag. Both models can be used to assist process engineers and operators in calculating the addition rates of coke, flux and air for different feed scenarios

AB - ChemSheet is a thermodynamic multi-phase multi-component simulation software, which is used as an Add-in in Microsoft Excel. In ChemSheet, the unique Constrained Gibbs free energy method can be used to include dynamic constraints and reaction rates of kinetically slow reactions, yet retaining full consistency of the multiphase thermodynamic model. With appropriate data, ChemSheet models can be used to simulate reactors and processes in all fields of thermochemistry. The presentation will cover off-line modeling of Cu-flash smelters and advanced thermochemical simulation coupled with on-line process control of Cu-Ni smelting. The presentation will describe an off-line model of Cu-smelter based on critically assessed properties of the Al-Ca-Cu-Fe-O-S-Si- system (slag, matte and liquid metal) by using the quasichemical model. A four-stage reactor model (shaft, settler, uptake and bath) is used for optimizing process parameters and feed particle distribution. As a second example, an advanced thermochemical model of a Ni-Cu sulphide smelting plant will be given. The on-line model covers the operation of treating Ni-Cu-S concentrate via roasters, electric furnace and converters, producing a high grade Bessemer matte product for further refining. The model integrates the thermochemistry of the roasters and electric furnace, and predicts important process parameters such as degree of sulphur elimination in the fluid-bed roasters, matte grade, iron metallization, slag losses and the iron to silica ratio in the electric furnace slag. Both models can be used to assist process engineers and operators in calculating the addition rates of coke, flux and air for different feed scenarios

KW - Multiphase thermodynamic calculation

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KW - simulation of smelting process

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Penttilä K, Salminen J, Tripathi N, Koukkari P. Chemsheet as a simulation platform for pyrometallurgical processes. In Celebrating the Megascale Proceedings of the Extraction and Processing Division Symposium on Pyrometallurgy in Honor of David G.C. Robertson. 2014. p. 377-384 https://doi.org/10.1007/978-3-319-48234-7_35