Journals / Celal Bayar Üniversitesi Fen Bilimleri Dergisi / 2020 / Cilt: 16 - Sayı: 2

Compare Between the Results of the Casting Simulation and the Results of Experimental Production with Calculating the Interface Heat Transfer Coefficient of the Casting-Mold

Pages
169–181
Publication Date
2020-06-24
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The match of the defects was controlled by comparing the defect results of simulation in which convergence within temperature curves were provided and the defects of scrap parts in experimental production.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Sanitary tapware that can drain hot and cold water from the plumbing systems in the desired proportions by mixing are called faucet.
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Key Findings & Data:The raw material of the body, which is the main part of faucets, is generally brass alloy (CuZn39Pb1Al-C).
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Conclusion & Impact:The match of the defects was controlled by comparing the defect results of simulation in which convergence within temperature curves were provided and the defects of scrap parts in experimental production.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Casting Defects · Casting Simulation · CFD

Abstract

Sanitary tapware that can drain hot and cold water from the plumbing systems in the desired proportions by mixing are called faucet. The production of faucets used today is conducted by using a low-pressure casting method. The raw material of the body, which is the main part of faucets, is generally brass alloy (CuZn39Pb1Al-C). The material of faucet molds produced using the casting method is the copper-beryllium alloy (CuCoNiBe). In this research, K type thermocouples were placed into the mold in such a way that there was a distance of 3 mm to the casting surface, and temperature changes during the production were achieved by the measurement and recording device. 1283,1263,1243,1223,1203,1183,1163 K values of casting temperatures that were identified as critical in Ansys Fluent program and interfacial heat transfer coefficient of the combinations created by casting temperatures of 413,473,533,593,653 K were calculated numerically. Casting simulation was created in Magma program by using calculated IHTC values, and they were analysed by making a comparison between experimental and simulation temperature curves. The match of the defects was controlled by comparing the defect results of simulation in which convergence within temperature curves were provided and the defects of scrap parts in experimental production.

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Cite This Article

NİŞANCI, M. C., YURDDAŞ, A. (2020). Compare Between the Results of the Casting Simulation and the Results of Experimental Production with Calculating the Interface Heat Transfer Coefficient of the Casting-Mold. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, Cilt: 16 - Sayı: 2, 169–181. https://ajindex.com/articles/34979

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References (2)

  1. . Michels, HT. 2009.
  2. Copper-Base Alloys, Casting Source Directory, Metal Casting Design & Purchasing; 31-34. [2]. Susac, F, Ohura, K, Banu, A, Makinouchi, M. 2015. Determination of heat transfer coefficient and air gap in aluminum casting by numerical and experimental approaches. Manufacturing Process Simulation Team, VCAD System Research; 69-70. [3]. Arunkumar, S, Sreenivas-Rao, KV, Prasanna-Kumar, TS. 2008. Spatial variation of heat flux at the metal-mold interface due to mold filling effects in gravity die-casting. International Journal of Heat and Mass Transfer; 51: 2676-2685. [4]. Taha, MA, El-Mahallawy, NA, El-Mestekawi, MT, Hassan, AA. 2013. Estimation of air gap and heat transfer coefficient at different faces of al and Al–Si castings solidifying in permanent mould. Materials Science and Technology; 17(9): 1093-1101. [5]. Pathak, N, Kumar, A, Yadav, A, Pradip, D. 2009. Effects of mould filling on evolution of the solid-liquid interface during solidification. Applied Thermal Engineering; 29: 3669-3678. [6]. Lan, P, Li, L, Tie, Z, Tang, H, Zhan, J. 2019. Combined study on mold taper and corner radius in bloom continuous casting by fem simulation and trial experiment. Metals and Materials International; 25(6): 1603-1615. [7]. Rafique, MMA, Iqbal, J. 2009. Modeling and simulation of the phenomena during investment casting. International Journal of Heat and Mass Transfer; 52: 2132-2139. [8]. Xuan-xuan, Y, Ling, C, Yi-jie, H. 2012. Numerical simulation of casting filling process based on Fluent. Energy Procedia; 17: 1864-1871. [9]. Pehlke, RD, Berry, JT. 2005. Investigation of heat transfer at the mold/metal interface in permanent mold casting of light alloys. Technical Report, The University of Michigan; 02ID14236: 1-85. [10]. Sun, J, Le, Q, Fu, L, Bai, J, Tretter, J, Herbold, K, Huo, H. 2019. Gas entrainment behavior of aluminum alloy engine crankcases during the low pressure die casting process. Journal of Materials Processing Technology; 266: 274-282. [11]. Li, YY, Tsai, DC. Hwang W.S., “Numerical simulation of the solidification microstructure of a 17-4PH stainless steel investment casting and its experimental verification. 2008. Modelling and Simulation in Materials Science and Engineering; 16(4): 1-15. [12]. Park, J-J. 2014. Finite-element analysis of a vertical twin-roll casting. 2014. Metals and Materials International; 20(2): 317-322. [13]. Jiang, W, Fan, Z, Liu, D, Liao, D, Dong, X, Zong, X. 2013. Correlation of microstructure with mechanic