DOI QR코드

DOI QR Code

Optimization of Plain Jacked Vessel Design in Adhesive Production Process Using Computational Fluid Dynamics

Computational Fluid Dynamics를 활용한 점/접착 생산 공정 내 Jacketed Vessel 설계 최적화

  • Joo, Chonghyo (Green Materials and Processes R&D Group, Korea Institute of International Technology) ;
  • Park, Hyundo (Green Materials and Processes R&D Group, Korea Institute of International Technology) ;
  • Cho, Hyungtae (Green Materials and Processes R&D Group, Korea Institute of International Technology) ;
  • Kim, Junghwan (Green Materials and Processes R&D Group, Korea Institute of International Technology)
  • 주종효 (한국생산기술연구원 친환경재료공정연구그룹) ;
  • 박현도 (한국생산기술연구원 친환경재료공정연구그룹) ;
  • 조형태 (한국생산기술연구원 친환경재료공정연구그룹) ;
  • 김정환 (한국생산기술연구원 친환경재료공정연구그룹)
  • Received : 2020.09.07
  • Accepted : 2020.09.28
  • Published : 2020.12.10

Abstract

Blending process of adhesive production has a cooling process to cool down the temperature of the solution which was heated up to 76 ℃ with a mineral insulated (MI) cable by 30 ℃ at room temperature. Using a MI cable in the adhesive production process makes the production inefficient because it takes about 10 h for the cooling process. If a jacketed vessel is used instead of the MI cable, it would shorten the cooling downtime without any additional cooling system by using cold water. However, there are various types of jacketed vessels, and thus the most suitable type should be found before set up. In this study, we designed the optimized jacketed vessel for the adhesive production process by calculating the cooling downtime, which impacts production efficiency, as a function of the jacket types using computational fluid dynamics. As a result, the cooling performance of the plain jacket was 32.7% superior to that of the half-pipe coil jacket with the same height. In addition, the plain jacket with 60% spiral baffle reduced the cooling downtime and operating time by 80.4% and 25.1%, respectively.

점/접착제 생산 공정은 배합 과정에서 mineral insulated (MI) cable을 통해 내부 용액을 76 ℃까지 가열 및 혼합 후 제품 출하를 위해 30 ℃까지 상온 냉각을 진행한다. MI cable을 이용한 반응기의 경우, 냉각시간이 평균 10 h 소요되어 생산효율이 낮은 문제점이 있지만, jacketed vessel을 설치하면 위의 문제를 효과적으로 해결할 수 있다. 그러나 jacketed vessel의 종류가 다양해 jacket을 설치하기 전, 배합 공정조건에 적합한 종류를 찾아야 한다. 본 연구에서는 생산효율에 영향을 주는 냉각시간을 최소화하기 위해 computational fluid dynamics (CFD)를 이용하여 jacket 종류에 따른 냉각시간을 비교해 공정에 적합한 jacketed vessel 모델을 개발하고, 점/접착제 생산 공정에 최적화된 jacketed vessel을 설계하였다. 연구 결과, jacket의 높이가 같을 때, half-pipe coil jacket보다 plain jacket의 냉각 성능이 32.7% 더 우수하였고, plain jacket에 60% spiral baffle을 설치하여 냉각 공정에 이용할 경우 냉각시간을 80.4%, 작업시간을 25.1% 단축 가능하다.

Keywords

References

  1. WAMGROUP, Specialized system components for asphalt mixing plants, Asphalt Mixing (2014).
  2. D. Herres, Metal-sheathed (Type MI) Cable -Where to Use It, and Where Not to Use It, Test&Measurment Tips (2015).
  3. W.-S. Han, Technical guidance on fire and explosion prevention in the mixing process of chemical plants, KOSHA GUIDE P-132-1013 (2013).
  4. https://www.kpc.or.kr/productivity/ProdIdea.asp.
  5. P. Hafezisefat, M. N. Esfahany, and Jafari, An experimental and numerical study of heat transfer in jacketed vessels by SiO2 nanofluid, Heat Mass Transf., 53, 2395-2405 (2017). https://doi.org/10.1007/s00231-017-1989-4
  6. S. Hall and A. Stoker, API chemical synthesis: Trends in reactor heat transfer design, Pharm. Eng., 24(1), 1-8 (2004).
  7. E. Gubskis, Design and modelling of vessel with halfpipe coil, KANUAS Univ. Faculty of Mechanical Engineering and Design, 2-41 (2016).
  8. Chemical Engineering World, Oil & gas, Types of Jackets for Reaction Vessel, March, https://chemicalengineeringworld.com/ (2020).
  9. SPE Staff, SPE/ANTEC 1999 Proceedings, 163-164 (1999).
  10. I. E. Ghandouri, Numerical study of shell and tube heat exchangers with different baffle cuts, 2018 6th International Renewable and Sustainable Energy Conference (IRSEC), 1-6 (2018).
  11. N. Matsumoto, Baffle plate, Patent No. US D697,038d (2014).
  12. https://www.glaskeller.ch/en/products/reaction/reaction-unit-pilot-plant-fullyfunctional-stand/.
  13. http://www.hyonjin.co.kr.
  14. ANSYS_CFD_Training Manual, Meshing (2019).
  15. J.-S. Lee, S. Cho, K.-J. Sim, M.-S. Jang, and J.-Y. Sohn, Analysis of the water temperature stratification-maintaining conditions using CFD in case of intake of deep, low temperature water, J. Korean Sol. Energ. Soc., 29(2), 31-38 (2009).
  16. ANSYS_Fluent_User Guide (2019).
  17. ANSYS_Fluent_Theory Guide (2019).
  18. C. M. Moon, S. G. Baek, and S. O. Park, Assessment of two-equation turbulent models in FLUENT for a turbulent heated pipe flow, Korean Soc. Comput. Fluid Eng., Autumn Annual Conference of KSCFE, 158-163 (2003).
  19. C.-H. Kim, S.-H. Chun, D.-W. Shin, L.-H. Kim, H.-C. Lee, and Y.-S. Baek, CFD simulation for mixture characteristic of DME-propane liquified fuels, Korean Chem. Eng. Res., 50(2), 328-333 (2012). https://doi.org/10.9713/kcer.2012.50.2.328
  20. J. H. Lee and S.-B. Shim, Analysis of the gas feed distribution at the gas sweetening absorber using CFD, Korean Chem. Eng. Res., 52(3), 314-320 (2014). https://doi.org/10.9713/kcer.2014.52.3.314
  21. I. S. Jeong, C. G. Lee, L. H. Cho, S. Y. Park, M. J. Kim, S. J. Kim, and D. H. Kim, Development and validation of inner environment prediction model for glass greenhouse using CFD, Protected Hort. Plant Fac., 29(3) 285-292 (2020). https://doi.org/10.12791/KSBEC.2020.29.3.285
  22. R. G. Sargent, Verification and validation of simulation models, Proceedings of the 2011 Winter Simulation Conference, L. C. Smith College of Engineering and Computer Science Syracuse, NY 13244, U.S.A. (2011).
  23. J. S. Carson, Model verification and validation, John S. Carson, Proceedings of the 2002 Winter Simulation Conference, Brooks-PRI Automation 1355 Terrell Mill Road Building 1482, Suite 200 Marietta, GA 30067, U.S.A. (2002).
  24. E. Jiaqiang, D. Hana, Y. Deng, W. Zuo, C. Qianc, G. Wud, Q. Peng, and Z. Zhang, Performance enhancement of a baffle-cut heat exchanger of exhaust gas recirculation, Appl. Therm. Eng., 134, 86-94 (2018). https://doi.org/10.1016/j.applthermaleng.2018.01.109