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  • Keywords: Acoustic wave; Fuzzy rule based expert system; Laser cleaning; Prediction of surface damage; Process control algorithm  (1)
  • Life Sciences (General)  (1)
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    The international journal of advanced manufacturing technology 16 (2000), S. 649-655 
    ISSN: 1433-3015
    Keywords: Keywords: Acoustic wave; Fuzzy rule based expert system; Laser cleaning; Prediction of surface damage; Process control algorithm
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: During laser cleaning, surface damage on the substrate could easily occur by overexposure to a laser pulse of high fluence. Successful cleaning without surface damage can be achieved by skilled operators with long experience and good technique. This paper presents a fuzzy rule based expert system to predict surface damage during laser cleaning in the same way as a human expert. In this work, a fuzzy rule base was used to embed the acoustic information, which gives an indication of both progress in cleaning and the result. This is achieved by a wide-band microphone. An inference process was conducted to predict whether and how much surface damage would be induced on the substrate. Tests of the performance of the fuzzy system showed that the prediction of surface damage is well correlated with the actual results, independent of initial surface conditions. Based on the prediction of surface damage, the process control algorithm of laser cleaning has been developed.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2011-08-24
    Description: Reports of differing failure rates of total hip prostheses made of various metals prompted us to measure the size of metallic and polyethylene particulate debris around failed cemented arthroplasties. We used an isolation method, in which metallic debris was extracted from the tissues, and a non-isolation method of routine preparation for light and electron microscopy. Specimens were taken from 30 cases in which the femoral component was of titanium alloy (10), cobalt-chrome alloy (10), or stainless steel (10). The mean size of metallic particles with the isolation method was 0.8 to 1.0 microns by 1.5 to 1.8 microns. The non-isolation method gave a significantly smaller mean size of 0.3 to 0.4 microns by 0.6 to 0.7 microns. For each technique the particle sizes of the three metals were similar. The mean size of polyethylene particles was 2 to 4 microns by 8 to 13 microns. They were larger in tissue retrieved from failed titanium-alloy implants than from cobalt-chrome and stainless-steel implants. Our results suggest that factors other than the size of the metal particles, such as the constituents of the alloy, and the amount and speed of generation of debris, may be more important in the failure of hip replacements.
    Keywords: Life Sciences (General)
    Type: The Journal of bone and joint surgery. British volume (ISSN 0301-620X); Volume 74; 3; 380-4
    Format: text
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