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Other titles in the Mechanical Engineering series:
Handbook of Machine Tool Analysisby Ioan D. Marinescu
Synopses & Reviews
Written by seasoned experts in the field, this reference explores efficient methods of design, structural analysis, and algorithm formulation to reduce waste, noise, and breakage in system function, identify faults in system construction, and achieve optimal machine tool performance. The authors investigate issues such as force, noise, vibration, and acoustic emission to predict the durability and strength of major system components. They evaluate noise levels for different types of machine tools, the effect of abrasion, fissure, and chemical diffusion on acoustic emission signals, the role of neural networks in machine tool diagnostics, and the Kurtosis method in virtual instrumentation.
Book News Annotation:
Presenting new research in the domain of machine tools, this work looks at design methods, structural analysis, and algorithm formulation to reduce waste, noise, and breakage in system function, identify faults in system construction, and achieve optimal machine tool performance. Coverage includes vibroacoustic diagnosis of machine tools, experimental research in diagnostic analysis of the mechanical system of the feed kinematics chain, virtual instrument packages for diagnosis by vibroacoustic methods, a neural approach to diagnostics, and perspectives on continuing research. Marinescu is professor in the Mechanical, Industrial and Manufacturing Engineering Department at the University of Toledo, Ohio.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
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