Handbook of Machine Tool Analysis 1st Edition by Ioan D. Marinescu, Constantin Ispas, Dan Boboc – Ebook PDF Instant Download/Delivery: 0824707044, 978-0824707040
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Product details:
ISBN 10: 0824707044
ISBN 13: 978-0824707040
Author: Ioan D. Marinescu, Constantin Ispas, Dan Boboc
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.
Table of contents:
1 MONITORING THE FIRST STEP IN ESTABLISHING THE TECHNICAL DIAGNOSTIC
2 APPLICATION OF VIBROACOUSTIC DIAGNOSIS TO MACHINE TOOLS
3 Sources of Machine Tool Vibration and Noise
4 Autovibrations
5 Requirements for Machine Tool Diagnostic Systems
6 Implementation on Machine Tools
7 Efficiency of the Diagnostic Systems
8 Discretization of the Physical Model
9 Statistical Analysis of Physical Model
10 Modal Analysis of Physical Model
11 EXPERIMENTAL ANALYSIS OF KINEMATIC FEED CHAIN MECHANICAL SYSTEM
12 CONCLUSIONS AND IMPLICATIONS OF DIAGNOSTIC ANALYSIS IN FUTURE RESEARCH
13 Designing and Manufacturing a Virtual Instrument Vibroacoustic Method Diagnostic Package
14 STRUCTURE OF LabVIEW VIRTUAL INSTRUMENT
15 VIRTUAL INSTRUMENTATION FOR SURFACE DIAGNOSIS
16 ESTABLISHING TECHNICAL DIAGNOSIS
17 The State of the Art of Research Concerning Vibroacoustic Diagnosis of Machine Tools
18 DIAGNOSIS OF SLIPPING BEARINGS
19 DIAGNOSIS OF GEAR WHEEL TRANSMISSIONS
20 DIAGNOSIS OF BELT TRANSMISSIONS
21 Vibroacoustic Phenomena of Magnetic Nature
22 Vibroacoustic Phenomena of Aerodynamic Nature
23 Imbalance Lack of Poise
24 Axial Imbalances
25 Mechanical Plays
26 Wear Control
27 Diagnosis of the Cutting Process
28 TECHNICAL DIAGNOSIS IN FLEXIBLE PROCESSING SYSTEMS
29 THEORETICAL AND EXPERIMENTAL RESEARCH PERSPECTIVES
30 Systemization and Application of a Vibroacoustic Methods Package to Establish Machine Tool Technical Diagnostics
31 Probabilistic Methods
32 EXPERIMENTAL METHODS TO ESTABLISH TECHNICAL DIAGNOSTICS
33 Specific Parameters Common to Vibroacoustic Methods of Diagnosis
34 Diagnostic Surface Methods
35 Profoundness Diagnosis Methods
36 RECOMMENDATIONS CONCERNING THE USE OF DIAGNOSIS METHODS FOR MACHINE TOOLS
37 Theoretical and Experimental Research Diagnostic Analysis of the Feed Kinematic Chain Mechanical System
38 THE EXPERIMENTAL STAND
39 THEORETICAL ANALYSIS OF THE KINEMATIC FEED CHAIN MECHANICAL SYSTEM
40 The Method and Images 3D Algorithm
41 VIRTUAL INSTRUMENTATION FOR PROFOUNDNESS DIAGNOSIS
42 Theoretical and Experimental Research Diagnosis of Some Feed Kinematic Chain Structure Elements
43 CALCULUS OF THE CHARACTERISTIC FREQUENCIES OF BEARINGS
44 CALCULUS OF FREQUENCIES THAT CHARACTERIZE THE BALL SCREWNUT MECHANISM
45 PRELIMINARY EXPERIMENTAL RESEARCH
46 Experimental Research with General Use Instrumentation
47 Experimental Research Using Frequency Analysis
48 EXPERIMENTAL RESEARCH IN VIRTUAL INSTRUMENTATION
49 Experimental Research in Surface Diagnostics
50 Experimental Research in Profoundness Diagnostics
51 Advantages of the Use of Virtual Instrumentation in Technical Diagnosis
52 A Neural Approach to Establishing Technical Diagnosis for Machine Tools
53 The Learning Process in Neural Networks
54 UTILIZATION OF NEURAL NETWORKS IN MACHINE TOOLS DIAGNOSTICS
55 Application for Neural Diagnosis of the Working State
56 Final Conclusions and Original Contributions
57 ORIGINAL CONTRIBUTIONS
58 Perspectives for Continuing Research
59 Surface Diagnosis Through Virtual Instrumentation
60 Profoundness Diagnosis Through Virtual Instrumentation
61 General Notions Regarding the Diagnosis of the Functioning State of Machine Tools
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