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

    Source: Journal of Engineering Materials and Technology:;2000:;volume( 122 ):;issue: 003::page 348
    Author:
    Rishi Raj
    DOI: 10.1115/1.482808
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper is constructed on the assumption that innovation in systems of the future would depend on how the synergies among various disciplines can be exploited and implemented in design strategies. A framework that can serve this purpose is presented; it is based on the concept that an “end-user” system can be partitioned into subsystems and linking variables. The subsystems generally lie along traditional disciplines, e.g., materials science, mechanical engineering, manufacturing etc. The linking variables serve as the vehicle for multidimensional coupling among the subsystems. System level design and life prediction is carried out in the linking variable space (LVS). The potential for this framework is illustrated by applying it to the design and life prediction of the light bulb. This example serves to illustrate how the design regime is created in LVS by overlaying the results from engineering design and materials science subsystems. The linking variables also define the pathway for assessing the influence of the critical parameters residing within each subsystem, on the overall variability in the life of the light bulb. In this way it becomes possible to understand how much the uncertainties from each of the subfields contribute to the overall uncertainty of the system. [S0094-4289(00)01803-X]
    keyword(s): Engineering design , Design , Disciplines , Functions , Materials science , Wire , Uncertainty AND Manufacturing ,
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      An Interdisciplinary Framework for the Design and Life Prediction of Engineering Systems

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    http://yetl.yabesh.ir/yetl1/handle/yetl/123767
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    contributor authorRishi Raj
    date accessioned2017-05-09T00:02:33Z
    date available2017-05-09T00:02:33Z
    date copyrightJuly, 2000
    date issued2000
    identifier issn0094-4289
    identifier otherJEMTA8-27009#348_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/123767
    description abstractThis paper is constructed on the assumption that innovation in systems of the future would depend on how the synergies among various disciplines can be exploited and implemented in design strategies. A framework that can serve this purpose is presented; it is based on the concept that an “end-user” system can be partitioned into subsystems and linking variables. The subsystems generally lie along traditional disciplines, e.g., materials science, mechanical engineering, manufacturing etc. The linking variables serve as the vehicle for multidimensional coupling among the subsystems. System level design and life prediction is carried out in the linking variable space (LVS). The potential for this framework is illustrated by applying it to the design and life prediction of the light bulb. This example serves to illustrate how the design regime is created in LVS by overlaying the results from engineering design and materials science subsystems. The linking variables also define the pathway for assessing the influence of the critical parameters residing within each subsystem, on the overall variability in the life of the light bulb. In this way it becomes possible to understand how much the uncertainties from each of the subfields contribute to the overall uncertainty of the system. [S0094-4289(00)01803-X]
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAn Interdisciplinary Framework for the Design and Life Prediction of Engineering Systems
    typeJournal Paper
    journal volume122
    journal issue3
    journal titleJournal of Engineering Materials and Technology
    identifier doi10.1115/1.482808
    journal fristpage348
    journal lastpage354
    identifier eissn1528-8889
    keywordsEngineering design
    keywordsDesign
    keywordsDisciplines
    keywordsFunctions
    keywordsMaterials science
    keywordsWire
    keywordsUncertainty AND Manufacturing
    treeJournal of Engineering Materials and Technology:;2000:;volume( 122 ):;issue: 003
    contenttypeFulltext
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