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oai:mountainscholar.org:10217/2429202026-05-22T20:12:12Zcom_10217_100532com_10217_100000com_10217_100470com_10217_100303col_10217_100538col_10217_100472

Wood, John Joseph, author Troxell, Wade, advisor Sakurai, Hiroshi, committee member Jensen, Daniel, committee member Bjostad, Louis, committee member 2026-01-23T17:30:02Z 2002 ETDF_2002_Wood_3064028.pdf https://hdl.handle.net/10217/242920 https://doi.org/10.25675/3.025777 Successful engineering design results from die application of suitable product design methods to an identified customer need. The generation and evaluation of conceptual designs satisfying engineering and customer requirements is a primary purpose of existing methods. Numerical and experimental techniques often can determine the feasibility of meeting the specified performance requirements. The concept generation design phase is expanded through a formalized process geared toward die design evolution of products characterized specifically by reduced part count through the incorporation of compliant materials and structures. Compliance offers a new dimension to evolutionary product design by introducing flexible components for direct component combination or replacement. Effort flow analysis is a technique that provides a framework for identifying component combination opportunities. This graphical method maps the flow of effort across component interfaces and systematically provides insights based upon the type of relative motion required between them. A formalized method for identifying and classifying these component groups is developed. An empirical study of existing products is conducted with the outcome being a deduced set of product evolution specific directive guidelines. The derived guidelines support the directed product evolution effort flow analysis methodology. Evaluation of conceptual designs is critical in the determination of functional performance. Similarity methods offer performance predictions of products based upon functional testing of scale models to correlate measured model behavior with predicted product behavior. Traditional methods can be improved in both accuracy and domain of applicability by the infusion of empirical data, derived from simplified tests, into the equations that characterize the system parameters of interest. Similarity methods have been developed that overcome the constraints associated with the traditional methods and provide increased analysis capability and improved insight into the phenomenon governing the problem. The product evolutionary design methodology incorporates an analytical feasibility determination to provide a conceptual design and evaluation approach for design focusing on component combination and incorporation of compliant solutions. The method has demonstrated successful evolutionary design of compliant systems and accurate similarity-based predictions of product performance. Future endeavors include expansion of effort flow analysis and advanced similarity methods to include the design of systems outside the mechanical domain. born digital doctoral dissertations English eng Colorado State University. Libraries 2000-2019 Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. Per the terms of a contractual agreement, all use of this item is limited to the non-commercial use of Colorado State University and its authorized users. mechanical engineering industrial engineering Design methodology using empirical and virtual analysis with application to compliant systems Text Doctor of Philosophy (Ph.D.) Doctoral Mechanical Engineering Colorado State University This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). open.access