Multidisciplinary Design Optimization of Distribution Cam Mechanism of Diesel Engine

Multidisciplinary Design Optimization (MDO) has emerged as a new technology dealing with the design of complex systems. MDO is employed in designing of diesel engine structure for improving the system performance in this paper. According to the analysis of the Distribution Cam Mechanism (DCM), ventilation, vibration and mechanical performance are selected as indicators. Basing kinematic analysis by ADAMS, the fullness coefficient, contact stre ss and the maximum acceleration performances are obtained. Under the environment of MDO, multi-objective genetic algorithm is used to overcome the difficulty of convergence in optimization of the DCM and obtain the best Pareto solution set. In addition, approximate model is proposed to improve the design process and proved to be efficiency. Finally, the results of multi-objective optimization are compa red to single-objective optimization, which demonstrates that fullness coefficient and contact stress of the diesel engine DCM is im proved greatly without reduce the ventilation performance. The effective and efficient collaboration mechanism for coordinating c oupled disciplines in the process of diesel engine design and optimization is developed in this research, which owns a high theory and application value.

[1]  M. Alexandra Ahlqvist,et al.  Dependency-tracking object-oriented multidisciplinary design optimization (MDO) formulation on a large-scale system , 2001 .

[2]  Wei Yuan,et al.  Collaborative Reliability Analysis under the Environment of Multidisciplinary Design Optimization , 2011, Concurr. Eng. Res. Appl..

[3]  Nam-Hoon Kim,et al.  Design of experiment (DOE) method considering interaction effect of process parameters for optimization of copper chemical mechanical polishing (CMP) process , 2006 .

[4]  Abdelhamid Chriette,et al.  A survey of multidisciplinary design optimization methods in launch vehicle design , 2012 .

[5]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[6]  Jafar Roshanian,et al.  Effect of Variable Selection on Multidisciplinary Design Optimization: a Flight Vehicle Example , 2007 .

[7]  Michel van Tooren,et al.  Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles , 2011 .

[8]  Yue Zhufeng Multidisciplinary Design Optimization of Cooling Turbine Blade Profiles Based on Surrogate Model , 2011 .

[9]  Lin Wang,et al.  Multidisciplinary optimization of a butterfly valve. , 2009, ISA transactions.

[10]  Jamal F. Nayfeh,et al.  Utilization of a dependency-tracking language to reduce computational time during multidisciplinary design optimization , 2003 .

[11]  Dong-li Ma,et al.  Multidisciplinary Design-Optimization Methods for Aircrafts using Large-Scale System Theory , 2009 .