| 研究生: |
王振宇 Chen-Yu Wang |
|---|---|
| 論文名稱: |
以反應曲面法進行軟隔式脈衝發動機支撐筒之最佳化設計 |
| 指導教授: |
葉維磬
Wei-Ching Yeh |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 機械工程學系在職專班 Executive Master of Mechanical Engineering |
| 論文出版年: | 2016 |
| 畢業學年度: | 104 |
| 語文別: | 中文 |
| 論文頁數: | 82 |
| 中文關鍵詞: | 軟隔式脈衝發動機支撐筒 、實驗設計 、反應曲面法 、有限元素法 |
| 外文關鍵詞: | soft-clapboard pulse motor pulse separation device(PSD), Design of Experiment(DOE), Response Surface Methodology(RSM), Finite Element Method(FEM) |
| 相關次數: | 點閱:21 下載:0 |
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本研究以軟隔式脈衝發動機支撐筒為例,利用有限元素分析軟體 ANSYS 進行支撐筒之結構應力與挫曲特徵值計算。並使用實驗設計法規劃三水準全因子試驗之實驗設計,進行支撐筒各設計變數的尺寸設計參數規劃,探討支撐筒各設計參數承受外在應力的影響。根據實驗的結果,再應用最小平方法藉由實驗的數據分別建構應力及挫曲特徵值等兩個反應曲面,以結構最大應力值與挫曲特徵值為限制條件,對支撐筒質量進行最小化分析。結果顯示品質特性之預測模型具有精確度。
In this study, a soft-clapboard pulse motor pulse separation device(PSD), using FE analysis software ANSYS, calculation the PSD of the structural stresses and buckling eigenvalues. And the use Design of Experiment(DOE) planning three level full factorial experimental design of the experiment. The size of a planned design parameters of each PSD design variables. Discussion on the design parameters of the PSD to withstand the impact of external stress. According to the results of the experiment, then apply the least squares method(LSM) by experimental data were construction stress and buckling eigenvalues and so two response surface. In the structure of the maximum stress and buckling eigenvalues limitation factor. Quality of the PSD to minimize the analysis. The results show that the prediction model has the quality characteristics of accuracy.
[1]K.W. Naumann, The Flight Demonstration of The Double Pulse Motor Demonstrator MSA, AIAA 2010-6756.
[2]K.W. Naumann, The Double Pulse Motor Demonstrator MSA, AIAA 2010-6755.
[3]K.W. Naumann, Double Pulse Solid Rocket Motor Technology Applications and Technical Solutions, AIAA 2010-6754.
[4]John D. Morrocco, Problems with rocket motor delay initial flight of SRAM 2, Aviation week & space technology, Jan. 29 1990.
[5]Jack G. Gulden, Utilization of a Low Cost Interceptor (LCI) for Cost Effective Air Defense against Low Tech Threats, American Institute of Aeronautics and Astronautics, Nov. 18 2008.
[6]Thomas L. Moore, Solid rockets, AEROSPACE AMERICA, DEC. 2002.
[7] Shen-Yeh Chen, An Approach for Impact Structure Optimization Using the Robust Genetic Algorithm, Finite Elements in Analysis and Design, Vol 37, No 5, pp431-446.
[8] Hong-Seok Park, Xuan-Phuong Dang, Structural optimization based on CAD CAE integration and metamodeling techniques, Computer-Aided Design 42 (2010) 889-902.
[9] E. Acar, M.A.Guler, B.Gerc-eker, Multi-objective crashworthiness optimization of tapered thin-walled tubes with axisymmetric indentations ,Thin -WalledStructures49(2011)94–105.
[10]Myers, R., H., and Montgomery, D., C.,”Response Surface Methodoloy”, a Wiley-Interscience Publication, John Wiley & Sons,Inc., 1995.
[11]Kleijnen, J.P.C. (1975). A comment on Blanning’s metamodel for sensitivity analysis: The regression metamodel in simulation. Interfaces 5, 21–23.
[12]Kleijnen, J.P.C. (1975). Statistical Techniques in Simulation, part II. Dekker, New York.
[13]Kleijnen, J.P.C. (1987). Statistical Tools for Simulation Practitioners. Dekker, New York.
[14]Yesilyurt, S., Patera, A.T. (1995). Surrogates for numerical simulations; optimization of eddy-promoter heat exchangers. Computer Methods in Applied Mechanics and Engineering 121, 231–257.
[15]Box, G.E.P., Wilson, K.B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society B 13, 1–45.
[16]Box, G.E.P. (1954). The exploration and exploitation of response surfaces. Some general considerations and examples. Biometrics 10, 16–60.
[17]Donohue, J.M., Houck, E.C., Myers, R.H. (1993a). A sequential experimental design procedure for the estimation of first- and second-order simulation metamodels. ACM Transactions on Modeling and Computer Simulation 3, 190–224.
[18]Donohue, J.M., Houck, E.C., Myers, R.H. (1993b). Simulation designs and correlation induction for reducing second-order bias in first-order response surfaces. Operations Research 41, 880–902.
[19]Donohue, J.M., Houck, E.C., Myers, R.H. (1995). Simulation designs for the estimation of quadratic response surface gradients in the presence of model misspecification. Management Science 41, 244–262.
[20]Saeed Moaveni , Finite Element Analysis Theory and Application with Ansys , 2/e( IE), Prentice Hall, 2009.
[21]陳申岳,ANSYS有限元素法軟體-實務產品可靠度分析,全華科技圖書股份有限公司,2007.1.
[22]夸克工作室,有限元素分析基礎篇ANSYS與Mathematica,知城數位科技有限公司,2001.8.
[23] Norman E. Dowling, Mechanical Behavior of Materials, pearson,2013.
[24] 葉怡成,實驗計劃法-製程與產品最佳化,五南圖書,2005.12.
[25] 葉怡成,高等實驗計畫法,五南圖書,2009.
[26] National aetonautics and space administration,Solid rocket motor metal cases NASA SP-8025),April 1970.