An Interdisciplinary Framework for the Design and Life Prediction of Engineering Systems

[+] Author and Article Information
Rishi Raj

Department of Mechanical Engineering, University of Colorado at Boulder, Boulder, CO 80309-0427e-mail: Rishi.Raj@Colorado.edu

J. Eng. Mater. Technol 122(3), 348-354 (Mar 01, 2000) (7 pages) doi:10.1115/1.482808 History: Received December 15, 1999; Revised March 01, 2000
Copyright © 2000 by ASME
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Subbarayan,  G., and Raj,  R., 1999, “A Methodology for Integrating Materials Science with System Engineering,” Mater. Des., 20, pp. 1–12.
Raj,  R., Enright,  M. P., and Frangopol,  D. M., 2000, “A System Level Partitioning Approach for Analyzing the Origins of Variability in Life Prediction of Tungsten Filaments for Incandescent Lamps,” Mater. Des., 21, pp. 9–18.
Henderson,  B., and Leland,  R., 1985, “The Chaco User’s Guide, Version 2.0,” Technical Report SAND85-2344, Sandia National Laboratories, Albuquerque NM.
Raj,  R., and King,  G. W., 1978, “Life Prediction of Tungsten Filaments in Incandescent Lamps,” Metall. Trans. A, 9A, pp. 941–946.


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The integrated design of a system is carried out in three steps: model reduction within subdisciplines, partitioning, and interactive design
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Nonhierarchical partitioning of the system into subsystems and linking variables. There are two kinds of subsystems: one related to performance and the others to traditional disciplines.
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The relationship between the microstructure of the tungsten and the creep rate of the filament for incandescent lamps: (a) bamboo grains, (b) equiaxed grains, and (c) elongated grains
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The geometrical parameters of the tungsten coil
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The functions and variables for the performance, design and materials science of the tungsten coil represented in a matrix form. The full functions are described in reference 1.
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Four types of partitionings
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Partitioning of the matrix in Fig. 5 into subsystems and linking variables by reordering the functions and variables
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The Linking Variable Space for the design of the tungsten filament in order to achieve a lifetime of 750 h at temperature lying between 2800 and 3000 K
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A flow chart for analyzing the influence of variables lying within the subsystems on the overall variability of the system
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The influence of microstructure on the variability of the whole systems. The upper curve shows the probability distribution function when all sources of variability (see next figure) are considered; the lower curve shows the variability when the microstructure is excluded from the analysis.
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The separate influence of different sources of variability on the probability density function for the lifetime of the light bulb



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