Abstract
The recent development of the coal-fired power plant purposes to enhance environmental-friendliness and efficiency. In order to achieve these goals, many research studies are underway to develop advanced ultra-supercritical (A-USC) boilers, which requires materials that can withstand extreme conditions. Integrated materials and product design (IMPD) is a new approach for designing products able to yield effective operation in extreme conditions. Based on the IMPD approach, we optimized the geometry of the superheater tube of the A-USC boiler as well as its constituent materials. To apply the IMPD to the tube design problem, we developed a creep deformation model based on finite element analysis, a heat transfer model, and two material models constructed via artificial neural networks. The material models predict creep properties and thermal conductivity for a given heat treatment condition and weight ratio of the chemical constituents. These four models are used in combination to form an analysis model chain, which is subsequently incorporated into an optimization routine for finding optimum material constituents and shapes of the superheater tube at the same time. An optimal tube design was developed to achieve minimum creep deformation and maximum heat transfer amount under the stringent operating conditions of the A-USC boiler.
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Yoonha Lee received a M.S. in mechanical system engineering from Chung-Ang University in Seoul, Korea. His research focuses on concurrent geometry design and material modeling based on machine learning. His modeling was built based on artificial neural networks. This integrated materials and product design (IMPD) has been applied to engineering of Super-heater which is part of heat exchanger in thermal power plant.
Soonyoung Han is in Ph.D. course in the School of Mechanical Engineering at Chung-Ang University in Seoul, Korea. He received his B.S. (2013) and M.S. (2015) in School of Mechanical Engineering from CAU. His research focuses on strategic product design, design for market systems, and multidisciplinary design optimization.
Sungwoo Jang is a graduate student at Chung-Ang University where he is studying Mechanical Engineering. He received his B.E. and M.S. in School of Mechanical Engineering from Chung- Ang University. His academic interests include the integrated design of complex systems across multiple scales.
Wonjae Kim is in M.S. course in the School of Mechanical System Engineering at Chung-Ang University in Seoul, Korea. He received his B.S. (2016) in School of Mechanical Engineering from Changwon National University in Chang-won. His research focuses on integrated material and product design.
Hae-Jin Choi is a Professor in the School of Mechanical Engineering, Chung-Ang University (CAU) in Seoul, Korea. Before joining in CAU, he was an Assistant Professor in Nanyang Technological University in Singapore. He served as a Postdoctoral Fellow in the GWW School of Mechanical Engineering, Georgia Institute of Technology (Georgia Tech). He holds Ph.D. (2005) and M.S. (2001) in Mechanical Engineering from Georgia Tech. His research focuses on strategic product design, management of uncertainty, integrated materials and products design, multiscale simulation-based design, and distributed collaborative product realization.
Seung-Kyum Choi is an Associate Professor in School of Mechanical Engineering at Georgia Institute of Technology. Dr. Choi's research interests include structural reliability, probabilistic mechanics, statistical approaches to design of structural systems, multidisciplinary design optimization, and information engineering for complex engineered systems. He served as Invited Guest Editors for Journal of Engineering Design and Journal of Electronic Materials. He also served as a Chair and Session Organizer at national conferences of AIAA, SDM, MDO, NDA and ASME/IDETC, in addition to being an invited member of the AIAA Non-Deterministic Technical Committee. Since 2006, he served as a Reviewer for ASME Journal, AIAA Journal, Journal of Structural and Multidisciplinary Optimization, Journal of Optimization and Engineering, Journal of Reliability and Safety, Journal of Probabilistic Engineering Mechanics, and SIAM Journal on Scientific Computing.
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Lee, Y., Han, S., Jang, S. et al. Multidisciplinary materials and geometry optimization of superheater tubes for advanced ultra-supercritical power boilers. J Mech Sci Technol 32, 3359–3369 (2018). https://doi.org/10.1007/s12206-018-0639-1
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DOI: https://doi.org/10.1007/s12206-018-0639-1