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The Multidisciplinary Design Optimization Of Crankshaft Based Finite Element Analysis

Posted on:2015-12-12Degree:MasterType:Thesis
Country:ChinaCandidate:J J PeiFull Text:PDF
GTID:2272330467983914Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
Crankshaft, as the one of the most important parts applied load largely, is designedwell or not, which directly determines the whole size and quality of theinternal-combustion engine. More importantly, it also determines theinternal-combustion engine’s life and reliability. Crankshaft’s design usually is amultidisciplinary problem, including thermodynamics、 system dynamics、 fluidmechanics and so on. All these disciplines are cross-coupled, which has obviouscharacteristics of multidisciplinary. This paper makes a research about the application ofMultidisciplinary Design Optimization on the crankshaft based on the finite elementanalysis and the MDO’s theoretical knowledge.The crankshaft、connecting rod and piston form the crank connecting rod mechanism,which converts the gas force delivered from the piston connecting rod set torotating torque. The analysis of the crankshaft is not only about the gasforce、reciprocating inertia force and rotating inertia force, but also about the connectingrod force, spindle supporting force and torque. Because of crankshaft’s unique structure,it has the stress concentration at certain region. Firstly, this paper describesMultidisciplinary Design Optimization’s content in detail, such as its disadvantages anddevelopment direction. Then, this paper does some simulation analysis and Design ofExperiment about crankshaft according to its actual working conditions. After knowingthe regression equation, it analyses the relationship between the structure parameters andstress. At last, multidisciplinary optimization model is established in Isight, so that wecan find the optimal solution by choosing the reasonable optimization algorithm.
Keywords/Search Tags:Crankshaft, Multidisciplinary Design Optimization, Design ofExperiment, Collaborative Optimization, Finite Element Analysis
PDF Full Text Request
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