Building empirical model through simulation - A case study

C. M. Tan; Z. H. Gan

Building empirical model through simulation - A case study

C. M. Tan^*, Z. H. Gan

^*Corresponding author for this work

Nanyang Technological University

Research output: Contribution to conference › Conference Paper › peer-review

2 Scopus citations

Abstract

Simulation and design of experiment are commonly used in engineering design and optimization today. In this work, we apply the methodology of the design of experiment and response surface method to finite element analysis for the building of an empirical model. This eliminates the need for expensive resources to carry out the actual experiments. The developed empirical model enables us to obtain global optimization of a design. To further reduce the resources needed for the development of the model, Draper-Lin small-composite design is used, as it requires the minimum number of "experimental run". However, the design will not produce an accurate model. We present a modification method to improve the model developed, making it accurate for the optimization of our device design.

Original language	English
Pages	1090-1094
Number of pages	5
State	Published - 2004
Externally published	Yes
Event	Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004 - , Singapore Duration: 18 10 2004 → 21 10 2004

Conference

Conference	Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004
Country/Territory	Singapore
Period	18/10/04 → 21/10/04

Keywords

Design of experiment
Finite element analysis
Model building
Response surface method
SOI structure
Stress modeling

Cite this

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title = "Building empirical model through simulation - A case study",

abstract = "Simulation and design of experiment are commonly used in engineering design and optimization today. In this work, we apply the methodology of the design of experiment and response surface method to finite element analysis for the building of an empirical model. This eliminates the need for expensive resources to carry out the actual experiments. The developed empirical model enables us to obtain global optimization of a design. To further reduce the resources needed for the development of the model, Draper-Lin small-composite design is used, as it requires the minimum number of {"}experimental run{"}. However, the design will not produce an accurate model. We present a modification method to improve the model developed, making it accurate for the optimization of our device design.",

keywords = "Design of experiment, Finite element analysis, Model building, Response surface method, SOI structure, Stress modeling",

author = "Tan, {C. M.} and Gan, {Z. H.}",

year = "2004",

language = "英语",

pages = "1090--1094",

note = "Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004 ; Conference date: 18-10-2004 Through 21-10-2004",

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AU - Tan, C. M.

AU - Gan, Z. H.

PY - 2004

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N2 - Simulation and design of experiment are commonly used in engineering design and optimization today. In this work, we apply the methodology of the design of experiment and response surface method to finite element analysis for the building of an empirical model. This eliminates the need for expensive resources to carry out the actual experiments. The developed empirical model enables us to obtain global optimization of a design. To further reduce the resources needed for the development of the model, Draper-Lin small-composite design is used, as it requires the minimum number of "experimental run". However, the design will not produce an accurate model. We present a modification method to improve the model developed, making it accurate for the optimization of our device design.

AB - Simulation and design of experiment are commonly used in engineering design and optimization today. In this work, we apply the methodology of the design of experiment and response surface method to finite element analysis for the building of an empirical model. This eliminates the need for expensive resources to carry out the actual experiments. The developed empirical model enables us to obtain global optimization of a design. To further reduce the resources needed for the development of the model, Draper-Lin small-composite design is used, as it requires the minimum number of "experimental run". However, the design will not produce an accurate model. We present a modification method to improve the model developed, making it accurate for the optimization of our device design.

KW - Design of experiment

KW - Finite element analysis

KW - Model building

KW - Response surface method

KW - SOI structure

KW - Stress modeling

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M3 - 论文

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T2 - Proceedings - 2004 IEEE International Engineering Management Conference: Innovation and Entrepreneurship for Sustainable Development, IEMC 2004

Y2 - 18 October 2004 through 21 October 2004

ER -

Building empirical model through simulation - A case study

Abstract

Conference

Keywords

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