Handbook of Machine Tool Analysis

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Offers efficient methods of design, structural analysis, and algorithm formulation to resude waste, noise, and breakage in system function, identify faults in system construction, and achieve optimcal machine tool performace. Investigates aspects including force, noise, vibration, and acoustic emission to predict the durability and strength of major system components.

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Editorial Reviews

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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
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Product Details

  • ISBN-13: 9780824707040
  • Publisher: Taylor & Francis
  • Publication date: 7/28/2002
  • Series: Mechanical Engineering Series
  • Pages: 322
  • Product dimensions: 6.25 (w) x 9.25 (h) x 1.25 (d)

Table of Contents

1 General Notions About the Introduction of Technical Diagnosis for Machine Tools 1
2 The State of the Art of Research Concerning Vibroacoustic Diagnosis of Machine Tools 25
3 Systemization and Application of a Vibroacoustic Methods Package to Establish Machine Tool Technical Diagnostics 69
4 Theoretical and Experimental Research: Diagnostic Analysis of the Feed Kinematic Chain Mechanical System 99
5 Designing and Manufacturing a Virtual Instrument Vibroacoustic Method Diagnostic Package 123
6 Theoretical and Experimental Research: Diagnosis of Some Feed Kinematic Chain Structure Elements 153
7 A Neural Approach to Establishing Technical Diagnosis for Machine Tools 193
8 Final Conclusions and Original Contributions 225
App. 1 Surface Diagnosis Through Virtual Instrumentation 233
App. 2 Profoundness Diagnosis Through Virtual Instrumentation 241
App. 3 General Notions Regarding the Diagnosis of the Functioning State of Machine Tools 247
References 287
Index 297
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