352 research outputs found
Generalized mathematical models in design optimization
The theory of optimality conditions of extremal problems can be extended to problems continuously deformed by an input vector. The connection between the sensitivity, well-posedness, stability and approximation of optimization problems is steadily emerging. The authors believe that the important realization here is that the underlying basis of all such work is still the study of point-to-set maps and of small perturbations, yet what has been identified previously as being just related to solution procedures is now being extended to study modeling itself in its own right. Many important studies related to the theoretical issues of parametric programming and large deformation in nonlinear programming have been reported in the last few years, and the challenge now seems to be in devising effective computational tools for solving these generalized design optimization models
Accuracy considerations in approximate reanalysis of structures
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76782/1/AIAA-2000-4751-508.pd
Optimal Design of Commercial Vehicle Systems Using Analytical Target Cascading
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/97129/1/AIAA2012-5524.pd
Special issue on commercial design optimization software: an introductory note
Twenty years later I have come to understand the true meaning of Jim Siddall’s comment. Having worked with several colleagues in industry across the world and having followed their work quite closely I came to a couple of conclusions: The complexity of the optimal design problems that our industry colleagues address successfully far exceeds what many of us academics suspect or even dare undertake. Furthermore, the true heroes of the indisputable growth of design optimization use in industry (or the academy for that matter) are the “commercial” software vendors–the companies and the people who have tried to put together software packages that are robust, friendly and accessible to users that may lack the sophistication or the time to use the immediate products of the academic endeavor. To be fair, these commercial software entities would not have been possible without the intellectual fruits of the academic research. The point however is not to minimize the latter’s importance; rather, it is to recognize that we should applaud all such “commercial” efforts, filter the hype of the marketplace, and support their collective use by students and colleagues in academia and industry alike. For example, thanks to the Excel Solver I have been able to do the unimaginable (to me anyway): have second-year college sophomores use design optimization intelligently in their project work.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/41907/1/158-23-2-95_20230095.pd
Recommended from our members
Project MAXWELL: Towards Rapid Realization of Superior Products
We describe a new methodology for the design and manufacture of mechanical
components. The methodology is a synergism of a new, mathematically rigorous
procedure for the concurrent design of shape and material composition of components,
and a new manufacturing process called MD* for their realization. The concurrent design
strategy yields information about the global shape of the component and its material
composition. The fabrication of such designs with novel microstructural configurations
require unconventional manufacturing processes. MD* is a shape deposition process for
the free-form fabrication of parts from single or composite materials and is ideally suited
for realizing the aforementioned designs. Project MAXWELL, therefore, promotes the use
of layered manufacturing beyond prototyping tasks and offers the possibility of their
integration into the mainstream product development and fabrication process..Mechanical Engineerin
Application of a product platform design process to automotive powertrains
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77031/1/AIAA-2000-4849-139.pd
Sequentially decomposed programming
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76276/1/AIAA-1996-4008-190.pd
A modification to Jones' global optimization algorithm for fast local convergence
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77127/1/AIAA-1998-4751-286.pd
DETC2008-49143 A PARETO APPROACH TO ALIGNING PUBLIC AND PRIVATE OBJECTIVES IN VEHICLE DESIGN
ABSTRACT The quest for producing vehicles friendlier to the environment is often impeded by the fact that a producer private good objective, such as maximum profit, competes with the public good objective of minimizing impact on the environment. Contrary to commercial claims, there may be no defined decision maker in the vehicle production and consumption process who takes ownership of the public good objective, except perhaps the government. One way ecofriendly products could become more successful in the marketplace is if public and private good objectives become more aligned to each other. This paper introduces three metrics for comparing Pareto curves in bi-objective problems in terms of relative level of objective competition. The paper also presents a quantitative way of studying an individual firm's trade-off between profit and fuel consumption for automotive products, currently undergoing an historic evolution in their design. We show how changes in technology, preferences, competition, and regulatory scenarios lead to Pareto frontier changes, possibly eliminating it altogether
Computation of Khun-Tucker triples in optimum design problems in the presence of parametric singularities
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76242/1/AIAA-1994-4416-414.pd
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