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http://dx.doi.org/10.7777/jkfs.2022.42.4.209

Machine Learning-based Process Condition Selection Method to Prevent Defects in Korean Traditional Brass Casting  

Lee, Seungcheol (Sogang University)
Han, Dosuck (Sogang University)
Yi, Hyuck (Geo Chang Yugi Company)
Kim, Naksoo (Sogang University)
Publication Information
Journal of Korea Foundry Society / v.42, no.4, 2022 , pp. 209-217 More about this Journal
Abstract
In the present study, in order to prevent the misrun defects that occur during traditional brass casting, a method for selecting the proper casting process conditions is proposed. A learning model was developed and demonstrated to be able to learn the presence or absence of defects according to the casting process conditions and to predict the occurrence of defects depending on the certain process given. Appropriate process conditions were determined by applying the proposed method, and the determined conditions were verified through a comparison of different simulation results with additional conditions. With this method, it is possible to determine the casting process conditions that will prevent defects in the desired sand model. This technology is expected to contribute to realization of smart traditional brass farming workshops.
Keywords
Sand casting; Misrun; Casting defect prediction; Machine learning and Artificial neural network;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 MPOFAA CASTING, Materials Science and Engineering, 2(3) (2012) 32.
2 Prajapati, T. and M. Sutaria., International Journal of Engineering Trends and Technology, 4(5) (2013) 1320.
3 Vaghasia, D. M.S. Thesis, Indian Institute of Technology Bombay (2009) 79.
4 Zheng, J., Wang, Q., Zhao, P. and Wu, C., The International Journal of Advanced Manufacturing Technology, 88 (2017) 482.
5 Ktari, A., and El Mansori, M., The International Journal of Advanced Manufacturing Technology, 114(3) (2021) 981.   DOI
6 Borowiecki, B., Borowiecka, O. and Szkodzinska, E., Archives of Foundry Engineering, 11(3) (2011) 33.
7 Ranasiri, M. and Muzathik, M., Material Science, An Indian Journal, 11(6) (2014) 218.
8 Kamble, S., International Journal of Innovative Research in Science, Engineering and Technology, 5(2) (2016) 2319.
9 Rajkumar, I., Rajini, N., Alavudeen, A., Prabhu, R., Ismail, O., Mohammad, F., and Al-Lohedan, A., Journal of Manufacturing Processes, 62 (2021) 119.   DOI
10 J.S. Park, Evaluation of Surface Damage of Coated Sheet Steels (2008) 157.
11 J.S. Lee, W.S. Kim and J.S. Park, The Korean Institute of Metals and Materials, 46(1) (2008) 26.
12 Iwata, Y., Dong, S., Sugiyama, Y. and Iwahori. H., Materials transactions, 54(10) (2013) 1944.   DOI
13 Juriani, A., IOSR journal of mechanical and civil engineering, 12(6) (2015) 43.
14 Iwata, Y., Dong, S., Sugiyama, Y., and Iwahori, H., Materials Transactions, 55(2) (2014) 311.   DOI
15 Landage, S. and Harne, M., International Journal for Research in Applied Science & Engineering Technology, 45(8) (2020) 182.   DOI
16 Rajkumar, I., Rajini, N., Alavudeen, A., Prabhu, R., Ismail, O., Mohammad, F., and Al-Lohedan, A., Journal of Manufacturing Processes, 62 (2021) 119.   DOI
17 Haigh, S., Heat and mass transfer, 44(10) (2008) 1241.
18 Zhang, A., Liang, S., Guo, Z. and Xiong, S., Experimental Thermal and Fluid Science, 88 (2017) 472.
19 S. Albawi, A. Mohammed, and S. Al-Zawi, "international conference on engineering and technology", (2017) 1.
20 Wang SC, "Interdisciplinary computing in java programming", Springer, Berlin (2003) 81.
21 Rafiq, Y., Bugmann, G. and Easterbrook, J., Computers and Structures, 79(17) (2001) 1541.   DOI
22 J.S. Lee, I.H. Jeon, S.C. kwak and J.S. Park, Journal of Conservation Science, 28(4) (2012) 403.   DOI
23 H.W. Park, Journal of Cultural Product & Design, 39 (2014) 57.
24 J.S. Lee, I.H. Jeon and J.S. Park, Journal of Conservation Science, 27(4) (2011) 421.
25 Junqing, W., Xun, S., Yang, G., Penghua, W., Hailan, L., Limei, B., and Xinzhi, S., China Foundry, 17(1) (2020) 35.   DOI
26 J.S. Lee, I.H. Jeon and J.S. Park, Journal of Conservation Science, 34(6) (2018) 493.
27 J.W. Choi and H.S. Kim, Journal of the Korean Society for Heat Treatment, 34(6) (2021) 265.   DOI
28 K.Y. Chung and J.H. Lee, Journal of Conservation Science, 25(4) (2009) 411.
29 J. Jakumeit, H. Behnken, R. Laqua, S. Mbewou, M. Fehlbier, J. Ganz, and L. Becker, "Light Metals 2021", Springer, Berlin (2021) 865,
30 S.R Sama, and G.P Manogharan, "Pennsylvania: Pennsylvania State University", (2017)