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EMS Route Designed for SSM Processing
N. K. Kund

N. K. Kund, Department of Production Engineering, Veer Surendra Sai University of Technology, Burla, Sambalpur (Odisha), India.
Manuscript received on 18 February 2019 | Revised Manuscript received on 27 February 2019 | Manuscript published on 28 February 2019 | PP: 382-384 | Volume-8 Issue-3, February 2019 | Retrieval Number: C5942028319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The various segments of the EMS arrangement are established. Also, the experimental EMS system comprises the cooling as well as shearing for getting the final microstructure of the semisolid cast billets. The comprehensive experiments are performed with the stated electromagnetic stirrer (EMS) using molten A356 aluminum alloy at pouring temperature of 625 °C. Through the reasonably moderate cooling the stirring intensity corresponding to the shear rate of 200 s-1 is used. The semisolid cast billets thus manufactured are sliced to make samples for further processing which is successively intended for metallographic analysis with optical microscope. It also illustrates the microstructure thus obtained at the stated shear rate. It is observed that the grains are almost uniformly distributed because of the moderate cooling alongside the shearing. Additionally, it also demonstrates the corresponding grain size frequency distribution as developed from the stated metallographic analysis. As a whole, the present study unveils the experimental preparations accompanied by the instrumentations besides the trials (such as melt preparation, treatment and transfer, temperature measurement with K-type thermocouple and flow measurement with rotameter) for semisolid casting experiments (with the EMS) and microstructure studies considering A356 aluminum alloy.
Keywords: Mould, Processing, EMS, Semisolid.

Scope of the Article: Image Processing and Pattern Recognition