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    Profile Characterization of Manufactured Surfaces Using Random Function Excursion Technique, Part 2: Application

    Source: Journal of Manufacturing Science and Engineering:;1975:;volume( 097 ):;issue: 001::page 196
    Author:
    M. O. M. Osman
    ,
    T. S. Sankar
    DOI: 10.1115/1.3438536
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In Part 1 of this paper an analytical procedure based on the theory of random excursions was described to characterize the texture of a machined surface in terms of four new parameters. In this part a number of experimental results are presented to justify the validity of the proposed surface parameters. Surface measurements were carried out on ten differently machined surfaces using a specially equipped measuring device with a direct cable link to a hybrid computer. The theoretically computed surface parameters compare favorably with the measurements made on the actual surface profiles that were recorded experimentally. One of the advantages of the surface parameters presented in this paper is that they correspond directly to the mechanical properties of the machined component and hence can be used readily in specifications. Further, the results of this paper show that i) the sampling length is essentially a high-pass filter with geometrically defined characteristics, and ii) the crest and valley excursion parameters are adaptable for both “on-line” and “off-line” surface evaluation. The method presented is well-suited for application to computer-aided manufacturing without any special modifications. Based on this investigation, a proposal for a mechanical stylus system for “online” surface measurements is also made.
    keyword(s): Measurement , Cables , Sampling (Acoustical engineering) , Mechanical properties , Texture (Materials) , Computer-aided manufacturing , Computers AND Filters ,
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      Profile Characterization of Manufactured Surfaces Using Random Function Excursion Technique, Part 2: Application

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    http://yetl.yabesh.ir/yetl1/handle/yetl/87951
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    contributor authorM. O. M. Osman
    contributor authorT. S. Sankar
    date accessioned2017-05-08T22:59:29Z
    date available2017-05-08T22:59:29Z
    date copyrightFebruary, 1975
    date issued1975
    identifier issn1087-1357
    identifier otherJMSEFK-27618#196_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/87951
    description abstractIn Part 1 of this paper an analytical procedure based on the theory of random excursions was described to characterize the texture of a machined surface in terms of four new parameters. In this part a number of experimental results are presented to justify the validity of the proposed surface parameters. Surface measurements were carried out on ten differently machined surfaces using a specially equipped measuring device with a direct cable link to a hybrid computer. The theoretically computed surface parameters compare favorably with the measurements made on the actual surface profiles that were recorded experimentally. One of the advantages of the surface parameters presented in this paper is that they correspond directly to the mechanical properties of the machined component and hence can be used readily in specifications. Further, the results of this paper show that i) the sampling length is essentially a high-pass filter with geometrically defined characteristics, and ii) the crest and valley excursion parameters are adaptable for both “on-line” and “off-line” surface evaluation. The method presented is well-suited for application to computer-aided manufacturing without any special modifications. Based on this investigation, a proposal for a mechanical stylus system for “online” surface measurements is also made.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleProfile Characterization of Manufactured Surfaces Using Random Function Excursion Technique, Part 2: Application
    typeJournal Paper
    journal volume97
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3438536
    journal fristpage196
    journal lastpage202
    identifier eissn1528-8935
    keywordsMeasurement
    keywordsCables
    keywordsSampling (Acoustical engineering)
    keywordsMechanical properties
    keywordsTexture (Materials)
    keywordsComputer-aided manufacturing
    keywordsComputers AND Filters
    treeJournal of Manufacturing Science and Engineering:;1975:;volume( 097 ):;issue: 001
    contenttypeFulltext
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