| 1 |
Chang-Pyoung Han and Hong-Ju Choi, "A study on the estimation of impact velocity of crashed vehicles in tunnel using computer simulation(PC-CRASH)", J. Korea Society of Die & Mold Engineering, Vol.14 No.4, 2020./
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| 2 |
Chang-Pyoung Han and Hong-Ju Choi, "A study on the estimation of impact velocity of crashed vehicles in tunnel using computer simulation(PC-CRASH)", J. Korea Society of Die & Mold Engineering, Vol.14 No.4, 2020./
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| 3 |
Chang-Pyoung Han and Hong-Ju Choi, "A study on the estimation of impact velocity of crashed vehicles in tunnel using computer simulation(PC-CRASH)", J. Korea Society of Die & Mold Engineering, Vol.14 No.4, 2020./
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| 4 |
J W Yun, S H Cho, C K Lee. "A study on the factors influencing at corner area material thickness changes of rectangular drawing products", Journal of the Korean Society for Mold Engineering Vol.14 No.1, pp. 22-29, 2020./
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| 5 |
Y J Jeon, Y M Heo, S H Yun, D E Kim., "Stamping process design to develop a urea tank cover for excavators based on sheet metal forming analysis", Journal of the Korean Society for Mold Engineering, Vol.14 No.2, pp. 49-55, 2020./
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| 6 |
Byung-Suk Seo, Yong-Han Jeon, "A study on odor and ventilation in waste treatment facilities", J. Korea Society of Die & Mold Engineering, Vol. 14, No. 2, pp. 28-33, 2020./
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| 7 |
Lee, J. H., and Kim, J. S., "A study on monitoring for process time and process properties by measuring vibration signals transmitted to the mold during injection molding", J. D&M Eng., 14(3), pp. 8-16, 2020./
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| 8 |
J. W. Yun, S. H. Cho, C. K. Lee, "A study on the factors influencing at corner area material thickness changes of rectangular drawing products", Korea Society of Die & Mold Engineering, Vol.14 No.1, p. 22-23 , 2020./
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| 9 |
J. W. Yun, S. H. Park, "Consideration of thickness change during progressive drawing process of automotive coupler parts(AL5052-H32)", Korea Society of Die & Mold Engineering, Vol.14 No.3, pp. 37-41, 2020./
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| 10 |
Yang, D. C., Lee, J. H., and Kim, J. S., "A Study on the Prediction of Mass and Length of Injection-molded Product Using Artificial Neural Network", Korean Soc. Manuf. Process Eng., 14(3), pp. 1-7, 2020./
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