Machine Tool Reliability - Bhupesh K Lad

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Auteur(s) : Bhupesh K Lad - Divya Shrivastava - Makarand S Kulkarni

Editeur : Wiley

Langue : Anglais

Parution : 01/04/2016

Format : Moyen, de 350g à 1kg

Nombre de pages : 336

Expédition : 640

Dimensions : 23.1 x 15.5 x 2.5

ISBN : 111903860X

Résumé :
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Biographie:

Bhupesh Kumar Lad is an Assistant Professor in Mechanical Engineering at the Indian Institute of Technology Indore. He is associated with Industrial Engineering Research Group at IIT Indore. He gained his PhD in Reliability Engineering from the Department of Mechanical Engineering at the Indian Institute of Technology Delhi (IITD). Before joining IIT Indore he was working with GE global research center, Bangalore as a research engineer.

Divya Shrivastava is an Assistant Professor with in Mechanical Engineering at the Shiv Nadar University, India. She gained her PhD in Industrial Engineering from the Department of Mechanical Engineering at the Indian Institute of Technology Delhi (IITD). Before joining Shiv Nadar University she was working with NIT Hamirpur (H.P). Her area of research includes: Operations Management, Quality Control and Maintenance Management.

M. S. Kulkarni is an Associate Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Delhi. He is associated with the Industrial Engineering group of the Department. He gained his PhD in Manufacturing Engineering from the Department of Mechanical Engineering at the Indian Institute of Technology Bombay. His post PhD industry experience includes application of quality and reliability engineering techniques in manufacturing and service industry.

Sommaire:

Preface xi

1 Introduction 1
1.1 Basic Reliability Terms and Concepts 2
1.2 Machine Tool Failure 6
1.3 Machine Tool Reliability: Manufacturers' View Point 7
1.4 Machine Tool Reliability: Users' View Point 11
1.5 Organization of the Book 12

2 Basic Reliability Mathematics 17
2.1 Functions Describing Lifetime as a Random Variable 17
2.2 Probability Distributions Used in Reliability Engineering 21
2.2.1 Exponential Distribution 21
2.2.2 Weibull Distribution 22
2.2.3 Normal Distribution 23
2.2.4 The Lognormal Distribution 23
2.3 Life Data Analysis 24
2.3.1 Empirical Methods 27
2.3.2 Unbiased Estimation of Parameters 28
2.4 Stochastic Models for Repairable Systems 28
2.5 Simulation Approach for Reliability Engineering 31
2.6 Use of Bayesian Methods in Reliability Engineering 32
2.7 Closing Remarks 33

3 Machine Tool Performance Measures 35
3.1 Identifying Performance Measures 36
3.2 Mechanism to Link Users' Operational Measures with Machine Reliability and Maintenance Parameters 41
3.2.1 Availability Model 42
3.2.2 Performance Rate Model 45
3.2.3 Quality Rate Model 46
3.3 Closing Remarks 53

4 Expert Judgement Based Parameter Estimation Method for Machine Tool Reliability Analysis 55
4.1 Expert Judgement as an Alternative Source of Data in Reliability Studies 57
4.2 Expert Judgement Based Parameter Estimation Methods 58
4.2.1 Non-Repairable Component 59
4.2.2 Repairable Assembly 74
4.3 Some Desirable Properties of A Good Estimator 79
4.4 Closing Remarks 80

5 Machine Tool Maintenance Scenarios, Models and Optimization 81
5.1 Overview of Maintenance 82
5.1.1 Maintenance Models 84
5.1.2 Maintenance Optimization Techniques 86
5.2 Machine Tool Maintenance 87
5.3 Machine Tool Maintenance Scenarios 89
5.4 Preventive Maintenance Optimization Models for Different Maintenance Scenarios 91
5.4.1 Preventive Maintenance Optimization in Maintenance Scenario 1 (MSc 1) (Replacement model) 93
5.4.2 Preventive Maintenance Optimization in Maintenance Scenario 2 (MSc 2) (Repair-Replacement Model) 99
5.4.3 Preventive Maintenance Optimization in Maintenance Scenario 3 (MSc 3) (Overhauling Model) 104
5.5 Closing Remarks 110

6 Reliability and Maintenance Based Design of Machine Tools 113
6.1 Optimal Reliability Design 115
6.2 Optimal reliability design of machine tools 122
6.2.1 Machine Tool Functional Design 126
6.2.1.1 Special Purpose Machine Tool Design 126
6.2.1.2 General Purpose Machine Tool Design 126
6.2.1.3 Customized Machine Tool Design 126
6.2.2 Simultaneous Optimization of Reliability and Maintenance Under Three Functional Design Scenarios 127
6.2.2.1 Simultaneous Optimization for Special Purpose Machine Tool 127
6.2.2.2 Simultaneous Optimization for General Purpose Machine Tool Design Scenario 133
6.2.2.3 Simultaneous Optimization for Customized Machine Tool Design 137
6.3 Failure Mode and Effects Analysis 139
6.3.1 Cost Based FMEA Approach 145
6.4 Closing Remarks 155

7 Machine Tool Maintenance and Process Quality Control 157
7.1 Development of Statistical Process Control (SPC) 158
7.2 Economic Design of Control Chart 159
7.3 Process failure 165
7.4 Joint Optimization of Maintenance Planning and Quality Control Policy 166
7.4.1 Problem Description 169
7.4.2 Assumptions and Conditions 171
7.4.3 Integration Approaches 172
7.5 Joint Optimization of Maintenance Planning and Quality Control Policy Using X -Control Chart 172
7.5.1 Expected Cost Model for Corrective Maintenance due to FC₁ 174
7.5.2 E...