Expert Systems Based Response Surface Models for Multidisciplinary Design Optimization

2015 ◽  
pp. 527-535
Author(s):  
Ramesh Gabbur ◽  
K Ramchand
Keyword(s):  
Expert Systems ◽  
Design Optimization ◽  
Response Surface ◽  
Multidisciplinary Design Optimization ◽  
Multidisciplinary Design ◽  
Response Surface Models ◽  
Surface Models

Multidisplinary Optimization of Crank-Link Mechanism of HCPE Based on iSIGHT

2013 ◽  
Vol 300-301 ◽  
pp. 99-103
Author(s):  
Ying Liu ◽  
Hong Xin Zhang ◽  
Kai Yin
Keyword(s):  
Response Surface ◽  
Optimization Model ◽  
Multidisciplinary Design Optimization ◽  
Collaborative Optimization ◽  
Multidisciplinary Design ◽  
Minimum Volume ◽  
Connecting Rod ◽  
Response Surface Models ◽  
Link Mechanism ◽  
Surface Models

The technology of multidisciplinary design optimization was elaborated, and the structure principle and dynamic model of HCPE were briefly presented. Based on the minimum volume, the collaborative optimization model of crank-link mechanism was constructed. The approximate response surface models of connecting rod and crankshaft were established by means of ANSYS calculation. By combined with iSIGHT software, the collaborative optimization system was realized, and the calculation speed was improved. The optimized volume decreased by 0.803% under the premise that couldn't change the crankshaft counterbalance. So the mass of the engine is reduced and the performance is improved.

Application of Multidisciplinary Design Optimization in the Truss Spar Concept Design

2010 ◽  
Author(s):  
Zhe Jiang ◽  
Weicheng Cui ◽  
Xiaoping Huang
Keyword(s):  
Design Optimization ◽  
Response Surface ◽  
Multidisciplinary Design Optimization ◽  
Coupling Effect ◽  
Collaborative Optimization ◽  
Multidisciplinary Design ◽  
Design Solution ◽  
Traditional Design ◽  
System Solution ◽  
Truss Spar

In the traditional design of a Truss Spar, designers usually choose different discipline as major concentration in different design phases. The coupling effect among disciplines can hardly be accounted for. Multidisciplinary design optimization has been proved to be an effective tool for the design of complex engineering systems, which takes all disciplines into account at the same time and exploit coupling effect among disciplines, thereby achieving the optimal system solution. In this paper, a multidisciplinary optimization scheme for a Truss Spar is firstly developed and the Truss Spar is decomposed into four modules: weight module, hydrodynamic module, structure module and stability module. Response surface method is used to replace the high-fidelity analysis to perform the approximate mathematical models of the objective function/constraints as a function of design variables. In order to enhance the accuracy of the predicted optimum, the response surface models are continuously updated using the information obtained from the numerical simulation of latest iterative results. Finally, an optimal design solution, which satisfies all the constraints, is obtained using collaborative optimization. The characteristics of the optimized design solution including hull weight, heave response, stability performance and strength of the bottom deck, are much improved comparing with traditional design.

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