Computer simulation of a ceramics powder compaction process and optimization of process parameters
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
In order to optimize the process parameters of ceramic powder compaction, a process simulation was first performed using a finite element method. In the finite element analysis, a quasi-random multi-particle array was introduced for modeling the non-periodic and randomly scattered powder particles with initially-low relative densities. Homogenization theory was employed to find the equivalent material properties associated with various porosities. The size of Al2O3 particles, amplitude of the cyclic compaction pressure, and friction coefficient among powder particles were chosen as process parameters. Finite element analysis results show that relative density becomes bigger as the process variables become smaller. Next, a regression model was found by using the response surface method, based on the results of the finite element analysis. Then, the optimal conditions of the process parameters providing the highest relative density were pursued by employing a grid search method.
Abstract
In order to optimize the process parameters of ceramic powder compaction, a process simulation was first performed using a finite element method. In the finite element analysis, a quasi-random multi-particle array was introduced for modeling the non-periodic and randomly scattered powder particles with initially-low relative densities. Homogenization theory was employed to find the equivalent material properties associated with various porosities. The size of Al2O3 particles, amplitude of the cyclic compaction pressure, and friction coefficient among powder particles were chosen as process parameters. Finite element analysis results show that relative density becomes bigger as the process variables become smaller. Next, a regression model was found by using the response surface method, based on the results of the finite element analysis. Then, the optimal conditions of the process parameters providing the highest relative density were pursued by employing a grid search method.
참고문헌 (26)
- W. Wu, , Acta mater., 48, pp.4323~4330 (2000)
- G. Jiang, , Acta mater., 48, pp.4331~4335 (2000)
- X.J. Xin, , Metallurgical and Materials Transactions A, 33A, pp.2649~2658 (2002)
- N. Zahlan, , Powder Technology, 114, pp.112~117 (2001)
- H. Zipse, , Journal of European Ceramic Society, 17, pp.1707~1713 (1997)
- T.A. Deis, , Journal of the American Ceramic Society, 81(5), pp.1237~1247 (1998)
- P.K. Lu, , Journal of the American Ceramic Society, 83(3), pp.518~522 (2000)
- P.K. Lu, , Journal of the American Ceramic Society, 83(10), pp.2536~2542 (2000)
- P.K. Lu, , Journal of the American Ceramic Society, 83(6), pp.1393~1398 (2000)
- B. Hassani, , Comput. Str., 69, pp.719~738 (1998)
- N. Takano, , Model. Simul. Mater. Sci. Eng., 7, pp.207~231 (1999)
- N. Takano, , J. Comput.-Aided Mater. Design., 7, pp.111~132 (2000)
- G. Jiang, , Acta mater, 49, pp.1417~1441 (2001)
- G. Jiang, , cripta mater, 44, pp.1117~1123 (2001)
- P. Rendanz, , Acta Materialia, 49, pp.4325~4335 (2001)
- A.T. Procopio, , Mechanics and Physics of Solids, 53, pp.1523~1551 (2005)
- M.K. Consuelo, , Journal of the American Ceramic Society, 83(9), pp.2183~2188 (2000)
- A. Hassanpour, , Powder Technology, 141, pp.251~261 (2004)
- B.J. Briscoe, , Powder Technology, 99, pp.228~233 (1998)
- K.T. Kim, , Journal of Korean Ceramic Society, 29(2), pp.136~142 (1992)
- D.W. Shin, , Journal of Korean Association of Crystal Growth, 8(2), pp.356~364 (1998)
- S. Turenne, , Advances in Powder Metallurgy & Particulate Materials, pp.155~164 (1995)
- Y.T. Keum, "Modelling and Simulation in Materials Science and Engineering", Institute of Physics Publishing, 13, pp.225~237 (2005)
- G.E.P. Box, , of the Royal Statistical Society, Series B, 13, pp.1~ (1951)
- R.E. Wapole, "Probability & Statistics for Engineers & Scientists 8th ed" (2006)
- Chen, D, , Journal of Applied Polymer Science, 76(4), pp.481~487 (2000)
