Challenges by latent heat calculation – Competition among analytical and computational methods
Abstract
Determining the latent heat of multi-component cast aluminum alloys is complex. These alloys solidify within the
mushy zone, with their latent heat release influenced by factors like composition, cooling rate, and microstructure. Techniques such as DSC and DTA, along with software tools like JMatPro, FactSage, and ThermoCalc,
can determine this value, understand solidification parameters, and calculate latent heat. This paper introduces a
novel approach using Newtonian, Fourier, and Energy Balance methods simultaneously, for the first time, to
calculate the latent heat of pure aluminum and its AlSi7Cu1 alloy. These methods offer advantages in foundry
conditions and require no specialized operator for data interpretation. Commercial software typically provides
parameters for standard alloys only, necessitating alternative sources for accurate data. Thermal analysis techniques offer a reliable method to acquire missing parameters and calculate latent heat with high precision.
Comp...aring the accuracy of these methods for pure aluminum and its AlSi7Cu1 alloy, using DSC measurement
data and commercial software values, indicates successful application on the foundry floor to determine thermophysical properties accurately.
Keywords:
Latent heat / Thermal analysis / Cooling curve / Newtonian method / Fourier method / Energy balance methodSource:
International Communications in Heat and Mass Transfer, 2024, 157, 107704-Publisher:
- Elsevier
Funding / projects:
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200026 (University of Belgrade, Institute of Chemistry, Technology and Metallurgy - IChTM) (RS-MESTD-inst-2020-200026)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200066 (Lola Institute, Belgrade) (RS-MESTD-inst-2020-200066)
DOI: 10.1016/j.icheatmasstransfer.2024.107704
ISSN: 0735-1933
WoS: 00126066930000
[ Google Scholar ]Collections
Institution/Community
IHTMTY - JOUR AU - Đurđević, Mile AU - Manasijević, Srećko AU - Patarić, Aleksandra AU - Mihailović, Marija PY - 2024 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/7683 AB - Determining the latent heat of multi-component cast aluminum alloys is complex. These alloys solidify within the mushy zone, with their latent heat release influenced by factors like composition, cooling rate, and microstructure. Techniques such as DSC and DTA, along with software tools like JMatPro, FactSage, and ThermoCalc, can determine this value, understand solidification parameters, and calculate latent heat. This paper introduces a novel approach using Newtonian, Fourier, and Energy Balance methods simultaneously, for the first time, to calculate the latent heat of pure aluminum and its AlSi7Cu1 alloy. These methods offer advantages in foundry conditions and require no specialized operator for data interpretation. Commercial software typically provides parameters for standard alloys only, necessitating alternative sources for accurate data. Thermal analysis techniques offer a reliable method to acquire missing parameters and calculate latent heat with high precision. Comparing the accuracy of these methods for pure aluminum and its AlSi7Cu1 alloy, using DSC measurement data and commercial software values, indicates successful application on the foundry floor to determine thermophysical properties accurately. PB - Elsevier T2 - International Communications in Heat and Mass Transfer T1 - Challenges by latent heat calculation – Competition among analytical and computational methods VL - 157 SP - 107704 DO - 10.1016/j.icheatmasstransfer.2024.107704 ER -
@article{ author = "Đurđević, Mile and Manasijević, Srećko and Patarić, Aleksandra and Mihailović, Marija", year = "2024", abstract = "Determining the latent heat of multi-component cast aluminum alloys is complex. These alloys solidify within the mushy zone, with their latent heat release influenced by factors like composition, cooling rate, and microstructure. Techniques such as DSC and DTA, along with software tools like JMatPro, FactSage, and ThermoCalc, can determine this value, understand solidification parameters, and calculate latent heat. This paper introduces a novel approach using Newtonian, Fourier, and Energy Balance methods simultaneously, for the first time, to calculate the latent heat of pure aluminum and its AlSi7Cu1 alloy. These methods offer advantages in foundry conditions and require no specialized operator for data interpretation. Commercial software typically provides parameters for standard alloys only, necessitating alternative sources for accurate data. Thermal analysis techniques offer a reliable method to acquire missing parameters and calculate latent heat with high precision. Comparing the accuracy of these methods for pure aluminum and its AlSi7Cu1 alloy, using DSC measurement data and commercial software values, indicates successful application on the foundry floor to determine thermophysical properties accurately.", publisher = "Elsevier", journal = "International Communications in Heat and Mass Transfer", title = "Challenges by latent heat calculation – Competition among analytical and computational methods", volume = "157", pages = "107704", doi = "10.1016/j.icheatmasstransfer.2024.107704" }
Đurđević, M., Manasijević, S., Patarić, A.,& Mihailović, M.. (2024). Challenges by latent heat calculation – Competition among analytical and computational methods. in International Communications in Heat and Mass Transfer Elsevier., 157, 107704. https://doi.org/10.1016/j.icheatmasstransfer.2024.107704
Đurđević M, Manasijević S, Patarić A, Mihailović M. Challenges by latent heat calculation – Competition among analytical and computational methods. in International Communications in Heat and Mass Transfer. 2024;157:107704. doi:10.1016/j.icheatmasstransfer.2024.107704 .
Đurđević, Mile, Manasijević, Srećko, Patarić, Aleksandra, Mihailović, Marija, "Challenges by latent heat calculation – Competition among analytical and computational methods" in International Communications in Heat and Mass Transfer, 157 (2024):107704, https://doi.org/10.1016/j.icheatmasstransfer.2024.107704 . .