Design optimization of an internal combustion engine powered CHP system for residential scale application

In this paper, we introduce a multidisciplinary robust design optimization formulation to evaluate uncertainty encountered in the design process. The formulation is a combination of the bi-level Collaborative Optimization framework and the multiobjective approach of the compromise Decision Support Problem. To demonstrate the proposed framework, the design of a combustion chamber of an internal combustion engine containing two subsystem analyses is presented. The results indicate that the proposed Collaborative Optimization framework for multidisciplinary robust design optimization effectively attains solutions that are robust to variations in design variables and environmental conditions.

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Parametric Modelling of Internal Combustion Engine Systems for Design Optimization

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1243/pime_proc_1990_204_143_02 ◽

1990 ◽

Vol 204 (2) ◽

pp. 113-124 ◽

Cited By ~ 2

Author(s):

V H Mucino ◽

W G Wang ◽

J E Smith

Keyword(s):

Internal Combustion Engine ◽

Design Optimization ◽

Combustion Engine ◽

Internal Combustion ◽

Parametric Modelling ◽

Engine Systems

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Study on design optimization of a crankshaft bearing considering crankshaft strength for an internal combustion engine

Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology ◽

10.1243/13506501jet573 ◽

2009 ◽

Vol 223 (6) ◽

pp. 919-924 ◽

Cited By ~ 4

Author(s):

J Sun ◽

Y Fu ◽

M Deng ◽

X Cai ◽

C Gui

Keyword(s):

Internal Combustion Engine ◽

Design Optimization ◽

Combustion Engine ◽

Internal Combustion

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Multidisciplinary Robust Design Optimization of an Internal Combustion Engine

Volume 2B: 27th Design Automation Conference ◽

10.1115/detc2001/dac-21124 ◽

2001 ◽

Author(s):

Charles D. McAllister ◽

Timothy W. Simpson

Keyword(s):

Internal Combustion Engine ◽

Design Optimization ◽

Robust Design ◽

Combustion Engine ◽

Internal Combustion ◽

Collaborative Optimization ◽

Robust Design Optimization ◽

Optimization Framework ◽

Design Variables ◽

Multiobjective Approach

Abstract In this paper, we introduce a multidisciplinary robust design optimization formulation to evaluate uncertainty encountered in the design process. The formulation is a combination of the bi-level Collaborative Optimization framework and the multiobjective approach of the compromise Decision Support Problem. To demonstrate the proposed approach, the design of a combustion chamber of an internal combustion engine containing two subsystem analyses is presented. The results indicate that the proposed Collaborative Optimization framework for multidisciplinary robust design optimization effectively attains solutions that are robust to variations in design variables and environmental conditions.

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