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Research Papers

Knowledge Support System for Aesthetics in Product Design

[+] Author and Article Information
Sitaram Soni

Research Scholar
e-mail: sonis@iiitdmj.ac.in

Pritee Khanna

Associate Professor
e-mail: pkhanna@iiitdmj.ac.in

Puneet Tandon

Professor
e-mail: ptandon@iiitdmj.ac.in
PDPM IIITDM,
Jabalpur, MP 482005, India

Contributed by the Design Engineering Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received March 7, 2012; final manuscript received November 19, 2012; published online March 14, 2013. Assoc. Editor: Shuming Gao.

J. Comput. Inf. Sci. Eng 13(1), 011006 (Mar 15, 2013) (11 pages) Paper No: JCISE-12-1038; doi: 10.1115/1.4023355 History: Received March 07, 2012; Revised November 19, 2012

The research described is the initial efforts to develop knowledge based support system to the aesthetic design in industrial products. The methodology takes into account the cognition process during the design generation and captures this behavior in a group theoretic structure. This approach leads to a mathematically robust model for the creative design generation during the product design. Based on this model, an artificial neural network (ANN) and genetic algorithm (GA) based framework is implemented to assess the validity and usefulness of the approach.

Copyright © 2013 by ASME
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References

Figures

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Fig. 1

Primitive prototypes

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Fig. 2

Modified decomposition

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Fig. 3

The edge deformation

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The corner deformation

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Fig. 5

Various shapes with same intrinsic form

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Fig. 6

Various stages in the shape generation

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Fig. 7

The Survey interface

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Fig. 8

The products used for ALS

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Fig. 11

The user interface for the shape analysis and design generation

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Fig. 12

The Design methodology

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Fig. 13

The basic shapes of the three products

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Fig. 14

The generated design using the model

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Fig. 15

Response of user for product M1

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