CO2 기반 금형 급속 냉각기술의 수치해석적 연구
Numerical Analysis of CO2-Based Rapid Mold Cooling Technology
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
In this study, we developed a simulation methodology for a technology that rapidly cools molds by directly spraying them with CO2 in its liquefied gaseous state. Initially, a simulation verification process was conducted using ANSYS Fluent’s heat transfer analysis based on temperature values measured in prior research experiments, ensuring a comparable temperature could be calculated. Subsequently, the validated analysis method was employed to evaluate design factors that exert the most significant influence on cooling. An evaluation was conducted based on three factors: part thickness, mold thickness, and the melting temperature of material. Using a full factorial design approach, a total of 27 analyses were completed and subsequently calculated through analysis of means. The impact assessment was carried out based on the temperature values at the product's core. The results indicated that the thickness of the mold had the highest influence, while the melting temperature of material had the least.
Abstract
In this study, we developed a simulation methodology for a technology that rapidly cools molds by directly spraying them with CO2 in its liquefied gaseous state. Initially, a simulation verification process was conducted using ANSYS Fluent’s heat transfer analysis based on temperature values measured in prior research experiments, ensuring a comparable temperature could be calculated. Subsequently, the validated analysis method was employed to evaluate design factors that exert the most significant influence on cooling. An evaluation was conducted based on three factors: part thickness, mold thickness, and the melting temperature of material. Using a full factorial design approach, a total of 27 analyses were completed and subsequently calculated through analysis of means. The impact assessment was carried out based on the temperature values at the product's core. The results indicated that the thickness of the mold had the highest influence, while the melting temperature of material had the least.
참고문헌 (18)
- Jung, H., "Application of machine learning techniques in injection molding quality prediction : Implications on sustainable manufacturing industry", Sustainability, 13(8), pp.4120~4135 (2021)
- Tercan, H., "Transfer-learning : Bridging the gap between real and simulation data for machine learning in injection molding", Procedia Cirp, 72, pp.185~190 (2018)
- Gim, J., "Novel analysis methodology of cavity pressure profiles in injection-molding processes using interpretation of machine learning model", Polymers, 13(19), pp.3297~3314 (2021)
- Kim, G., "A multimodal deep learning-based fault detection model for a plastic injection molding process", IEEE Access, 9, pp.132455~132467 (2021)
- Im, D., "A data-centric approach to design and analysis of a surface-inspection system based on deep learning in the plastic injection molding industry", Processes, 9(11), pp.1895~1916 (2021)
- Chang, H., "Application of deep learning network in bumper warpage quality improvement", Processes, 10(5), pp.1006~1025 (2022)
- Li, X., "Manufacturability analysis of multi-material objects molded by rotary platen multishot molding process", ASME International Mechanical Engineering Congress and Exposition, 37122, pp.353~365 (2003)
- Teich, S., "Experimental and simulative investigation of a multistage 2K injection molding process of PA6 and EPDM", Journal of Applied Polymer Science, 139(3), pp.51520~51539 (2022)
- 박홍석, "DESIGN OF CONFORMAL COOLING CHANNELS FOR AN AUTOMOTIVE PART", International Journal of Automotive Technology, 10(1), pp.87~93 (2009), 한국자동차공학회
- Xu, X., "The design of conformal cooling channels in injection molding tooling", Polymer Engineering & Science, 41(7), pp.1265~1279 (2001)
- Venkatesh, G., "Comparison of straight line to conformal cooling channel in injection molding", Materials Today : Proceedings, 4(2), pp.1167~1173 (2017)
- Kanbur, B. B., "Design and optimization of conformal cooling channels for injection molding : a review", The International Journal of Advanced Manufacturing Technology, 106, pp.3253~3271 (2020)
- 김미진, "Joule-Thomson 효과를 이용한 금형 급속 냉각방법 연구", 한국생산제조학회지, 31(5), pp.306~311 (2022), 한국생산제조학회
- 이세호, "CO2 냉각모듈을 적용한 고곡률 성형품의 사출금형 급속냉각", Design & Manufacturing, 16(4), pp.67~74 (2022), 한국금형공학회[DOI]
- Sanchez, J. A., "Machining evaluation of a hybrid MQL-CO2 grinding technology", Journal of Cleaner Production, 18(18), pp.1840~1849 (2010)
- Abele, E., "Using PCD for machining CGI with a CO2 coolant system", Production Engineering, 2(2), pp.165~169 (2008)
- Jamil, M., "Effects of hybrid Al 2 O 3-CNT nanofluids and cryogenic cooling on machining of Ti6Al4V", The International Journal of Advanced Manufacturing Technology, 102, pp.3895~3909 (2019)
- Yu, J. C., "Optimization of extrusion blow molding processes using soft computing and Taguchis method", Journal of intelligent Manufacturing, 15, pp.625~634 (2004)
