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Reliability engineering and the application of CNC machine tools.

Reliability Engineering and the Application of CNC Machine Tools discusses the basic theory of reliability, reliability design, reliability-driven product manufacturing support technology, reliability management technology, factor analysis and the control of reliability engineering, and the implemen...

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Bibliographic Details
Main Author: RAN, YAN
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: [S.l.] : Elsevier, 2025.
Subjects:
Reliability (Engineering)
Fiabilité.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Reliability Engineering and the Application of CNC Machine Tools
  • Copyright Page
  • Contents
  • Preface
  • Acknowledgments
  • 1 Basic theory
  • 1.1 Overview of reliability of CNC machine tools
  • 1.1.1 Basic concept
  • 1.1.2 Mathematical foundation
  • 1.1.3 Main aspects
  • 1.1.3.1 Reliability design
  • 1.1.3.2 Manufacturing reliability
  • 1.1.3.3 Reliability testing
  • 1.1.3.4 Reliability management
  • 1.1.3.5 Operational reliability
  • 1.1.4 Research trends
  • 1.1.4.1 Research and application of CNC machine tools' reliability in the World
  • 1.1.4.2 Research and application of CNC machine tools' reliability in China
  • 1.1.4.3 Application of intelligent technologies in CNC machine tools
  • 1.1.5 Current major issues
  • 1.2 Review on reliability technology of domestic CNC machine tools
  • 1.2.1 Concepts related to the reliability of CNC machine tools
  • 1.2.2 Reliability design technology for CNC machine tools
  • 1.2.2.1 Reliability modeling
  • 1.2.2.2 Reliability analysis
  • 1 Stress analysis
  • 2 Fault tree analysis
  • 1.2.2.3 Failure mode effects and hazard analysis
  • 1.2.2.4 Reliability design
  • 1 Reliability prediction
  • 2 Reliability allocation
  • 1.2.3 Manufacturing reliability technology of CNC machine tools
  • 1.2.3.1 Incoming quality control
  • 1.2.3.2 Consistency control in manufacturing
  • 1.2.3.3 Reliabilitydriven assembly process
  • 1.2.3.4 Onsite management
  • 1.2.4 Reliability testing technology for CNC machine tools
  • 1.2.5 Reliability assessment technology for CNC machine tools
  • 1.2.6 Early failure elimination technology for CNC machine tools
  • 1.2.7 Operational reliability technology for CNC machine tools
  • 1.2.8 Strategies for enhancing the reliability of domestic CNC machine tools
  • 1.2.8.1 Prevention capability: reliability design and analysis.
  • 1.2.8.2 Control capability: ensuring reliability in the manufacturing process
  • 1.2.8.3 Foundational capability: reliability testing methods and standards
  • 1.2.8.4 Assurance capability: reliability management system
  • 1.3 Function decomposition and reliability analysis of CNC machine using function motion action
  • 1.3.1 Overview
  • 1.3.2 Functional decomposition of the worm wheel gear grinding machine
  • 1.3.3 Fault tree analysis of unit actions
  • 1.3.4 Machine tools' reliability control analysis
  • 1.3.5 Conclusions
  • References
  • 2 Prevention through design
  • 2.1 Reliability design system
  • 2.1.1 The significance of reliability design
  • 2.1.2 Framework of the reliability design system
  • 2.1.3 Reliability work and application tools in each stage of product design
  • 2.1.3.1 Technical decisionmaking stage
  • 2.1.3.2 Preliminary design stage
  • 2.1.3.3 Technical design stage
  • 2.1.3.4 Working drawing design stage
  • 2.1.3.5 Prototype trial production stage
  • 2.1.3.6 Small batch trial production stage
  • 2.1.3.7 Finalized production stage
  • 2.1.4 Establishment and operation of reliability design system
  • 2.1.4.1 Initial analysis of product structural performance
  • 2.1.4.2 Reliability design analysis
  • 2.1.4.3 Feedback to engineering design
  • 2.1.4.4 Selection of electronic components
  • 2.1.4.5 Structural reliability design
  • 2.1.4.6 Reliability testing
  • 2.1.5 Conclusion
  • 2.2 Reliability modeling technology
  • 2.2.1 Introduction
  • 2.2.2 Reliability model overview
  • 2.2.2.1 Concepts related to the reliability model
  • 2.2.2.2 Reliability model classification
  • 2.2.3 General process of reliability modeling
  • 2.2.4 Typical reliability models
  • 2.2.4.1 Series model
  • 2.2.4.2 Parallel model
  • 2.2.4.3 Seriesparallel model
  • 2.2.5 Critical points in reliability modeling
  • 2.2.6 Application of reliability modeling.
  • 2.2.7 Conclusion
  • 2.3 Reliability prediction and allocation technology
  • 2.3.1 Introduction
  • 2.3.2 Assumptions for reliability prediction and allocation
  • 2.3.3 Reliability prediction methods
  • 2.3.3.1 The concept of reliability forecasting
  • 2.3.3.2 The features and principles of reliability prediction methods
  • 2.3.3.3 Reliability prediction methods
  • 1 Similarity analysis method
  • 2 Statistical analysis method
  • 2.3.4 Case study analysis
  • 2.3.5 Methods of reliability allocation
  • 2.3.5.1 Concept of reliability allocation
  • 2.3.5.2 Principles of reliability allocation
  • 2.3.5.3 Principles of system reliability allocation
  • 2.3.5.4 Reliability allocation methods
  • 2.3.5.5 Hierarchical analysis method for reliability allocation
  • 1 Establishment of hierarchical structure model
  • 2 Construction of judgment matrices and calculation of weight vectors
  • 3 Allocation of reliability indices
  • 2.3.5.6 Instance analysis
  • 2.3.6 Conclusion
  • References
  • 3 Manufacturing and assembly
  • 3.1 Machining consistency control technology
  • 3.1.1 Overview
  • 3.1.2 Overview of machining consistency
  • 3.1.2.1 Concept of machining consistency
  • 3.1.2.2 Definition of machining consistency
  • 3.1.3 Geometric accuracy variability analysis
  • 3.1.3.1 Dimensional accuracy
  • 3.1.3.2 Shape accuracy
  • 3.1.3.3 Positional accuracy
  • 3.1.3.4 Analysis of process capability
  • 3.1.3.5 Identification and control of processing inconsistencies
  • 3.1.3.6 Example applications
  • 3.1.4 Analytical control measures for consistency influencing factors
  • 3.1.4.1 Processor factors control measures
  • 3.1.4.2 Processing equipment factors control measures
  • 3.1.4.3 Material factors control measures
  • 3.1.4.4 Processing method factors control measures
  • 3.1.4.5 Control measures for processing environmental factors.
  • 3.1.4.6 Process measurement factors control measures
  • 3.1.5 Conclusion
  • 3.2 Assembly process driven by reliability
  • 3.2.1 Introduction
  • 3.2.2 Related concepts of assembly process driven by reliability
  • 3.2.3 Formulation process of assembly process driven by reliability
  • 3.2.4 Development of assembly process driven by reliability
  • 3.2.4.1 Product structure and function analysis
  • 3.2.4.2 Structured decomposition
  • 3.2.4.3 Metamotion assembly unit division
  • 3.2.4.4 Fault tree analysis
  • 3.2.4.5 Control points extraction
  • 3.2.4.6 Development of control measures
  • 3.2.4.7 Assembly process program development
  • 3.2.5 Conclusion
  • 3.3 Reliability driven modeling approach of assembly process
  • 3.3.1 Introduction
  • 3.3.2 Structured decomposition of product movement functions
  • 3.3.2.1 Structured decomposition of product movement functions
  • 3.3.2.2 Example of structured decomposition of the motion function of a CNC rotary table component
  • 3.3.3 Reliability control point analysis of assembly process metaaction
  • 3.3.4 Gray prediction model of product assembly process reliability
  • 3.3.4.1 Gray system prediction principle
  • 3.3.4.2 Correlation analysis of assembly process reliability and reliability control points
  • 3.3.4.3 Assembly process reliability prediction model
  • 3.3.5 Conclusion
  • References
  • 4 Operation enhancement
  • 4.1 Reliability test technology
  • 4.1.1 Purpose and significance of reliability test
  • 4.1.2 Reliability test overview
  • 4.1.2.1 Failure
  • 4.1.2.2 Profile
  • 4.1.2.3 Spectrum
  • 4.1.2.4 Test stress
  • 4.1.2.5 Reliability test
  • 4.1.3 Technical specification for reliability test
  • 4.1.3.1 Test purpose and requirements
  • 4.1.3.2 The selection of test objects
  • 4.1.3.3 Test profile
  • 4.1.3.4 Test setup
  • 4.1.3.5 Test method and procedure
  • 4.1.3.6 Fault criterion and fault handling procedure.
  • 4.1.3.7 Test data analysis and test report
  • 4.1.4 Analysis of example
  • 4.1.5 Conclusion
  • 4.2 Reliability evaluation technology
  • 4.2.1 Overview
  • 4.2.1.1 Concept of reliability evaluation
  • 4.2.1.2 Purpose and significance of reliability evaluation
  • 4.2.2 Reliability evaluation technology of CNC machine tools
  • 4.2.2.1 Product life cycle reliability evaluation
  • 4.2.2.2 General process of reliability evaluation
  • 4.2.3 Key technical points of reliability evaluation
  • 4.2.3.1 Reliability evaluation input
  • 4.2.3.2 Introduction of reliability evaluation method
  • 1 Life distribution analysis method
  • 2 Random process analysis method
  • 3 Reliability evaluation method of CNC machine tools under small sample
  • 4.2.3.3 Hypothesis testing of model
  • 4.2.3.4 Reliability evaluation output
  • 1 Reliability index system and its estimation
  • 2 Write reliability report
  • 4.2.4 Example analysis
  • 4.2.4.1 Example 1
  • 4.2.4.2 Example 2
  • 4.2.5 Conclusions
  • 4.3 Failure maintenance decision of metaaction assembly unit
  • 4.3.1 Metaaction assembly unit
  • 4.3.1.1 Definition of metaaction assembly unit
  • 4.3.1.2 Characteristics and division principles of metaaction assembly units
  • 4.3.2 Risk ranking of metaaction assembly unit failures
  • 4.3.2.1 Establish the fuzzy language term set of O, S, and D
  • 4.3.2.2 Determine the fuzzy numbers corresponding to the fuzzy linguistic terms
  • 4.3.2.3 Defuzzification of fuzzy numbers
  • 4.3.2.4 Establish the comparison matrix
  • 4.3.2.5 Establish the reference matrix
  • 4.3.2.6 Calculate the gray correlation coefficient
  • 4.3.2.7 Calculate the gray correlation
  • 4.3.2.8 Sorting
  • 4.3.3 Failure maintenance decision for metaaction assembly units
  • 4.3.3.1 Identify critical failures
  • 4.3.3.2 Maintenance decision based on gray fixed weight clustering
  • 4.3.4 Case analysis
  • 4.3.5 Conclusion.