Research Data Leeds Repository

Dataset for 'Thermodynamic modelling of cements clinkering process as a tool for optimising the proportioning of raw meals containing alternative materials'

Costa, Ana R. D. and Coppe, Mateus V. and Bielefeldt, Wagner V. and Bernal, Susan A. and Black, Leon and Kirchheim, Ana Paula and Gonçalves, Jardel P. (2023) Dataset for 'Thermodynamic modelling of cements clinkering process as a tool for optimising the proportioning of raw meals containing alternative materials'. University of Leeds. [Dataset] https://doi.org/10.5518/1394

Dataset description

The data contained in this workbook has been used to create the following figures in the journal article: Costa, A. R. D., Coppe, M. V., Bielefeldt, W. V., Bernal, S. A., Black, L., Kirchheim, A. P. and Gonçalves, J. P, 2023. Thermodynamic modelling of cements clinkering process as a tool for optimising the proportioning of raw meals containing alternative materials. Scientific Reports. https://doi.org/10.1038/s41598-023-44078-7

Keywords:	Thermodynamic modelling; Clinker; Coprocessing; Dosing method; Cement; Impurities; Waste management; Spent fluid catalytic cracking catalyst; Aluminous residue.
Subjects:	F000 - Physical sciences > F200 - Materials science
Divisions:	Faculty of Engineering and Physical Sciences > School of Civil Engineering
Related resources:	Location Type https://doi.org/10.1038/s41598-023-44078-7 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	17 Oct 2023 14:25
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/1178
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Costa, Ana R. D. https://orcid.org/0000-0001-8526-0036 University of Leeds https://ror.org/024mrxd33 ror Federal University of Bahia (UFBA) https://ror.org/03k3p7647 ror Coppe, Mateus V. https://orcid.org/0009-0000-5776-1677 Federal University of Rio Grande do Sul (UFRGS) https://ror.org/041yk2d64 ror Bielefeldt, Wagner V. https://orcid.org/0000-0003-3984-7703 Federal University of Rio Grande do Sul (UFRGS) https://ror.org/041yk2d64 ror Bernal, Susan A. https://orcid.org/0000-0002-9647-3106 University of Leeds https://ror.org/024mrxd33 ror Black, Leon https://orcid.org/0000-0001-8531-4989 University of Leeds https://ror.org/024mrxd33 ror Kirchheim, Ana Paula https://orcid.org/0000-0002-8241-0331 Federal University of Rio Grande do Sul (UFRGS) https://ror.org/041yk2d64 ror Gonçalves, Jardel P. https://orcid.org/0000-0003-3484-3869 Federal University of Bahia (UFBA) https://ror.org/03k3p7647 ror Type of data: Dataset Research funders: EPSRC, Coordination for the Improvement of Higher Education Personnel (CAPES, Brazil), Bahia State Research Support Foundation (FAPESB, Brazil), National Council for Scientific and Technological Development (CNPq, Brazil), Research Support of the State of Rio Grande do Sul (FAPERGS, Brazil) Grant numbers: EP/R001642/1, 88887.682513/2022-00, 0289/2020 Publication date: 2023 Resource language: English Publisher: University of Leeds Contact Email Address: cnardc@leeds.ac.uk Last Modified: 17 Oct 2023 22:35

Files

Documentation

readme [11kB] readme [11kB] readme [11kB] Visible to: Anyone File name: README_Costa-etal_2023.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 11kB

Data

Raw data for all figures (Figures 1 - 9) [461kB] Raw data for all figures (Figures 1 - 9) [461kB] Raw data for all figures (Figures 1 - 9) [461kB] Visible to: Anyone File name: raw_data_figures.xlsx Content type: Data Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 461kB