事前知識を利用した応答曲面作成方法に関する検討とピンフィンヒートシンクへの適用
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| Published in | 日本機械学会論文集 Vol. 85; no. 880; p. 19-00194 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | Japanese |
| Published |
一般社団法人 日本機械学会
2019
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| Subjects | |
| Online Access | Get full text |
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| Author | 小野寺, 誠 武藤, 和夫 |
|---|---|
| Author_xml | – sequence: 1 fullname: 武藤, 和夫 organization: 日立製作所 研究開発グループ – sequence: 2 fullname: 小野寺, 誠 organization: 日立製作所 研究開発グループ |
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| References | Higdon, D., Kennedy, M., Cavendish, J., Cafeo, J. and Ryne, R. D., Combining field data and computer simulations for calibration and prediction, SIAM Journal on Scientific Computing , Vol.26, No.2 (2004), pp. 448-466. Horiuchi, K. and Nishihara, A., Experimental verification of model for liquid-cooled staggered pin fin heat sinks with top bypass flow, Journal of Energy and Power Engineering, Vol.7, No.8 (2013). Eldred, M. S., Giunta, A. and Collis, S., Second-order corrections for surrogate-based optimization with model hierarchies, Proceedings of the 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2004). Min, A. T. W., Sagarna, R., Gupta, A., Ong, Y. and Gho, C., Knowledge transfer through machine learning in aircraft design, IEEE Computational Intelligence Magazine, Vol.12, No.4 (2017), pp. 48-60. Santner, T. J., Williams, B. J. and Notz, W. I., The design and analysis of computer experiments, Springer (2003). Wang, L., Subramaniyan, A., Chennimalai, N. and Fang, X., Challenges in uncertainty, calibration, validation and predictability of engineering analysis models, ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition (2011), pp. 747-758. The Japan Society of Mechanical Engineers, Handbook of Heat transfer Engineering (1986) (in Japanese). Tsuchiya, K. and Morita, H., Study on efficient design of sampling for optimization method, Lecture Note of Research Institute for Mathematical Sciences, Vol. 1584 (2008), pp. 122-131 (in Japanses). Horiuchi, K., Nishihara, A. and Sugimura, K., Multi-objective optimization of pin-fin heat sinks, ASME 2009 International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineers Digital Collection (2009), pp. 1297-1303. Krige, D. G., A statistical approach to some mine valuations and allied problems at the Witwatersrand, Master's thesis of the University of Witwatersrand (1951). Fletcher, R., Practical methods of optimization (2nd ed.), John Wiley & Sons (1987). Kennedy, M. C. and O'Hagan, A., Predicting the output from a complex computer code when fast approximations are available, Biometrika, Vol.87, No.1 (2000), pp. 1-13. Sugimura, K., Jeong, S., Obayashi, S. and Kimura, T., Kriging-model-based multi-objective robust optimization and trade-off-rule mining using association rule with aspiration vector, IEEE Congress on Evolutionary Computation (2009). |
| References_xml | – reference: Santner, T. J., Williams, B. J. and Notz, W. I., The design and analysis of computer experiments, Springer (2003). – reference: Horiuchi, K. and Nishihara, A., Experimental verification of model for liquid-cooled staggered pin fin heat sinks with top bypass flow, Journal of Energy and Power Engineering, Vol.7, No.8 (2013). – reference: Kennedy, M. C. and O'Hagan, A., Predicting the output from a complex computer code when fast approximations are available, Biometrika, Vol.87, No.1 (2000), pp. 1-13. – reference: Min, A. T. W., Sagarna, R., Gupta, A., Ong, Y. and Gho, C., Knowledge transfer through machine learning in aircraft design, IEEE Computational Intelligence Magazine, Vol.12, No.4 (2017), pp. 48-60. – reference: Sugimura, K., Jeong, S., Obayashi, S. and Kimura, T., Kriging-model-based multi-objective robust optimization and trade-off-rule mining using association rule with aspiration vector, IEEE Congress on Evolutionary Computation (2009). – reference: Tsuchiya, K. and Morita, H., Study on efficient design of sampling for optimization method, Lecture Note of Research Institute for Mathematical Sciences, Vol. 1584 (2008), pp. 122-131 (in Japanses). – reference: Wang, L., Subramaniyan, A., Chennimalai, N. and Fang, X., Challenges in uncertainty, calibration, validation and predictability of engineering analysis models, ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition (2011), pp. 747-758. – reference: Eldred, M. S., Giunta, A. and Collis, S., Second-order corrections for surrogate-based optimization with model hierarchies, Proceedings of the 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2004). – reference: Fletcher, R., Practical methods of optimization (2nd ed.), John Wiley & Sons (1987). – reference: Horiuchi, K., Nishihara, A. and Sugimura, K., Multi-objective optimization of pin-fin heat sinks, ASME 2009 International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineers Digital Collection (2009), pp. 1297-1303. – reference: Krige, D. G., A statistical approach to some mine valuations and allied problems at the Witwatersrand, Master's thesis of the University of Witwatersrand (1951). – reference: Higdon, D., Kennedy, M., Cavendish, J., Cafeo, J. and Ryne, R. D., Combining field data and computer simulations for calibration and prediction, SIAM Journal on Scientific Computing , Vol.26, No.2 (2004), pp. 448-466. – reference: The Japan Society of Mechanical Engineers, Handbook of Heat transfer Engineering (1986) (in Japanese). |
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| SubjectTerms | A prior knowledge Bayesian estimation Pin-fin heat sink Response surface Surrogate model |
| Title | 事前知識を利用した応答曲面作成方法に関する検討とピンフィンヒートシンクへの適用 |
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