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Author Orr, Barry, author.
Title An iterative approach to automating design optimization / by Barry Orr.
Published [Northridge, California] : California State University, Northridge, 2013.
LOCATION CALL # STATUS
 Electronic Book  TA153 .Z954 2013 O76eb    ONLINE
  
Description 1 online resource (X, 163 pages)
Content Type text
Format online resource
File Characteristics text file PDF
Thesis M.S. California State University, Northridge 2013.
Bibliography Includes bibliographical references (page 107).
Summary Iterative design studies can often be lengthy, repetitive and tedious. This study sets out to automate the process of alteration, analysis, and optimization of the computer aided design of the basic elements of an internal combustion engine: the fourbar crank-slider linkage. The ultimate goal was to optimize the design of a connecting rod within an engine. It was approached as if the designer wanted to see how a small alteration of a major component would alter the stresses of the system and how to optimize the connecting rod given this change. To accomplish this, a previously created fourbar crank-slider SolidWorks model was altered through data entered into Excel and a full kinetic analysis was performed to analyze the motion of the linkage. Afterwards, a previously created SolidWorks motion study was run to find the stresses the linkage undergoes during its full combustion cycle. From the motion analysis, a finite element analysis (FEA) was then performed to determine how the connecting rod stands up to the stresses it sees during normal operating conditions. With a preliminary FEA run, the designer can determine if the design is feasible and will handle the forces it will undergo. From the FEA, a design study can be run to optimize various parameters of the connecting rod in order to minimize the mass. It will be shown through the course of this paper that the automation principles used within could be easily expanded for a multitude of uses. The amount of time and effort saved through the incorporation of automation will be apparent for even basic applications.
Note Description based on online resource; title from PDF title page (viewed on January 15, 2013).
Subject Internal combustion engines -- Design and construction -- Software.
Machinery -- Testing -- Software.
Local Subject Dissertations, Academic -- CSUN -- Engineering -- Mechanical.
OCLC number 850971275