Abstract
Computer-aided cooling curve analysis (CA-CCA) is a cost-saving and easy-to-use thermal analysis tool to identify the solidification characteristics of a material. This paper aims to present the relationship between cooling rate and solidification parameters of aluminum–silicon alloy before semisolid metal processing. An induction furnace was used to melt the as-prepared specimen by heating the respective graphite crucible to 680 ℃ and left it to be cooled and solidified under three different cooling rate conditions. A double thermocouple method was employed by placing one K-type thermocouple at the crucible center and another one near to the crucible wall. Both thermocouple sensors were connected to a data acquisition device, NI 9219 which was linked to a computer with DASYLab pre-installed inside for data logging, along with OriginPro 2019b for graphical representation. Low, intermediate, and high cooling rate conditions were achieved when the crucible was cooled with its top and bottom surface enclosed with Fiberfrax felt (1.0 ℃/s), at ambient temperature (1.3 ℃/s), and by a compressed air flow supplied from air compressor (1.9 ℃/s), respectively. The increase in cooling rate facilitates the nucleation rate and the growth of crystals within the alloy system and thus leads to a shorter solidification time with all the critical points highlighting the phase transition are shifted accordingly.
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Acknowledgements
The authors would like to be obliged to the Ministry of Higher Education for providing financial support under Fundamental Research Grant Scheme (FRGS) No. FRGS/1/2019/TK03/UMP/03/4 (University reference RDU1901166) and Universiti Malaysia Pahang for laboratory facilities.
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Ma, X.H., Abd Razak, N.A. (2023). The Change of Solidification Parameters on Hypoeutectic Aluminum–Silicon Alloy Under Different Cooling Rates. In: Ismail, M.Y., Mohd Sani, M.S., Kumarasamy, S., Hamidi, M.A., Shaari, M.S. (eds) Technological Advancement in Mechanical and Automotive Engineering. ICMER 2021. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-1457-7_21
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