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Patent

Method and system for product design

TLDR
In this paper, a method for designing a product includes obtaining data records relating to one or more input variables and one/more output parameters associated with the product, and a computational model indicative of interrelationships between the one/or more input parameters and the output parameters based on the data records may be generated.
Abstract
A method for designing a product includes obtaining data records relating to one or more input variables and one or more output parameters associated with the product. One or more input parameters may be selected from the one or more input variables, and a computational model indicative of interrelationships between the one or more input parameters and the one or more output parameters based on the data records may be generated. The method further includes providing a set of constraints to the computational model representative of a compliance state for the product and using the computational model to generate statistical distributions for the one or more input parameters and the one or more output parameters, based on the set of constraints, that represent a design for the product. Any appropriate type of neural network may be used to build the computational model.

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References
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Journal ArticleDOI

Metamodels for Computer-Based Engineering Design: Survey and Recommendations

TL;DR: This paper surveys their existing application in engineering design, and addresses the dangers of applying traditional statistical techniques to approximate deterministic computer analysis codes, along with recommendations for the appropriate use of statistical approximation techniques in given situations.
Journal ArticleDOI

Application of artificial neural network and Taguchi method to preform design in metal forming considering workability

TL;DR: In this article, the authors describe a new method of perform design in muti-stage metal forming processes considering workability limited by ductile fracture, using artificial neural network using the Taguchi method for minimizing objective functions relevant to the forming process.
Journal ArticleDOI

Optimum Design of Aerospace Structural Components Using Neural Networks

TL;DR: The application of artificial neural networks to capture structural design expertise is demonstrated and neural net prediction of optimum designs was found to be satisfactory for the majority of the output design parameters.
Patent

User directed heuristic design optimization search

TL;DR: In this paper, a directed heuristic search (DHS) was developed for an optimization design system, which is tractable, in that it records a log of the sequence of design solutions that were evaluated during a particular design optimization search.