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Metrology and Instrumentation Practical Applications for Engineering and Manufacturing Wiley-ASME Press Series

Langue : Anglais

Auteur :

Couverture de l’ouvrage Metrology and Instrumentation
Metrology and Instrumentation: Practical Applications for Engineering and Manufacturing provides students and professionals with an accessible foundation in the metrology techniques, instruments, and governing standards used in mechanical engineering and manufacturing. The book opens with an overview of metrology units and scale, then moves on to explain topics such as sources of error, calibration systems, uncertainty, and dimensional, mechanical, and thermodynamic measurement systems. A chapter on tolerance stack-ups covers GD&T, ASME Y14.5-2018, and the ISO standard for general tolerances, while a chapter on digital measurements connects metrology to newer, Industry 4.0 applications.

Preface xiii

Acknowledgments xv

About the Author xvii

1 Fundamental Units and Constants in Metrology 1

1.1 Introduction 1

1.2 Current Definitions of the Main SI Units 6

1.3 New Definition of Seven Base Units of the SI 6

1.4 Derived International System (SI) Units 7

1.5 SI Conversion 7

1.6 Fundamental Constants 8

1.7 Common Measurements 9

1.8 Principles and Practices of Traceability 10

1.8.1 Definition of Traceability 10

1.8.2 Accreditation and Conformity Assessment 11

Multiple Choice Questions of this Chapter 12

References 12

2 Scales of Metrology 13

2.1 Introduction to Practical Metrology across All Scales 13

2.2 Nanometrology 14

2.2.1 Introduction and Need in Industry 14

2.2.2 Definition of Nanometrology 15

2.2.3 Importance of Nanometrology in Science and Technology 15

2.3 Standards 18

2.4 Micrometrology 22

2.4.1 Introduction and Need in Industry 22

2.4.2 Definition of Micrometrology 22

2.4.3 Examples of Micrometrology of Microparts 22

2.5 Macroscale Metrology 23

2.5.1 Standards 25

2.6 Large-Scale Metrology and Large-Volume Metrology 29

2.6.1 Introduction and Need in Industry 29

2.6.2 Definition 30

2.6.3 Verification Standards 32

2.7 Instruments Techniques 34

2.7.1 Large Coordinate Measuring Machines 35

2.7.2 Laser Trackers 35

2.7.3 Theodolite 35

Multiple Choice Questions of this Chapter 37

References 37

3 Applied Math and Statistics 39

3.1 Introduction 39

3.2 Scientific and Engineering Notation 39

3.3 Imperial/Metric Conversions 40

3.4 Ratio 41

3.5 Linear Interpolation 42

3.6 Number Bases 42

3.7 Significant Figures, Rounding, and Truncation 43

3.8 Geometry and Volumes 44

3.8.1 Perimeter 44

3.8.2 Volume and Area 44

3.9 Angular Conversions 44

3.10 Graphs and Plots 45

3.11 Statistical Analysis and Common Distributions 47

3.11.1 Definition of Measurement Data 47

3.11.2 Statistical Measurements 47

3.11.3 Statistical Analysis of Measurements 47

3.11.4 Probability 48

3.11.5 Sample and Population 49

3.11.6 Formulation of Mean and Variance for Direct Measurements 49

3.11.7 Mean and Variance Based on Samples 50

3.11.8 The Standard Deviation of the Mean 51

3.12 Formulation of the Standard Uncertainty and Average of Indirect Measurements 52

3.12.1 How to Determine the Measured Value and Random Error? 52

3.12.2 Repeated Measurements of One Single Quantity 52

3.12.3 Normal Distribution 53

3.12.4 Student’s t-distribution 55

Multiple Choice Questions of this Chapter 60

4 Errors and their Sources 61

Introduction 61

4.1 Definition of the Error and Their Types 61

4.1.1 Systematic Errors 62

4.1.2 Random Errors 63

4.1.3 Components of Motion Error Assessment 63

4.2 Measurement Characteristics 63

4.2.1 Characterization of the Measurement 63

4.2.2 Resolution, Error Uncertainty, and Repeatability 64

4.2.3 Model of Measurement 67

4.3 Propagation of Errors 69

4.4 Sources of Errors 73

4.4.1 Static Errors and Dynamic Errors 73

4.5 Error Budget 77

4.5.1 Components of the Error Budget 77

4.5.2 Example of Error-Budget Table 78

4.6 Error Elimination Techniques 79

4.6.1 Methods 79

4.7 Model of Errors in CNC Using HTM 81

4.8 Case Study of Errors Budget 87

4.8.1 Description of the Designed System 87

4.8.2 Error Modeling and Experimental Testing 88

4.9 Solved Problems 96

Multiple Choice Questions of this Chapter 97

References 97

5 Measurement and Measurement Systems 99

5.1 Introduction 99

5.2 What Can Be Standard in a Measurement? 101

5.3 Definitions of Key Measurement Components 102

5.3.1 Measurement System 102

5.3.2 Measurement System Analysis 103

5.3.3 Measurement Process 103

5.4 Physical Measurement Process (PMP) 103

5.5 Difference between Number and an Analysis Model 104

5.6 Measurement Methods 105

5.6.1 Metrology and Measurement 105

5.6.2 Metrological Characteristics of Measuring Instruments 108

5.7 Instrumentation for Measurement 109

5.7.1 Background 109

5.7.2 Measurement Instrumentations 109

5.7.3 Digital Measuring Device Fundamentals 109

5.8 Non-Portable Dimensional Measuring Devices 110

5.8.1 Laser Interferometry, Application to CNC Machines 110

5.8.2 Coordinate Measuring Machine (CMM) 118

5.9 Metrology Laboratory Test for Students 140

Multiple Choice Questions of this Chapter 146

References 146

6 Tolerance Stack-Up Analysis 149

6.1 Introduction 149

6.1.1 Importance of Tolerance Stack-Up Analysis 149

6.1.2 Need for Tolerance Stack-Up Analysis in Assemblies 151

6.1.3 Manufacturing Considerations in Engineering Design 151

6.1.4 Technical Drawing 152

6.1.5 Definitions, Format, andWorkflow of Tolerance Stack-Up 153

6.2 Brief Introduction to Geometric Dimensioning and Tolerancing (GD&T) 156

6.2.1 Notation and Problem Formulation 156

6.2.2 Dimension Types 157

6.2.3 Coordinate Dimensioning 158

6.2.4 Tolerance Types 160

6.2.5 Characteristics of Features and Their Tolerances 162

6.3 Tolerance Format and Decimal Places 164

6.4 Converting Plus/Minus Dimensions and Tolerances into Equal-Bilaterally Toleranced Dimensions 165

6.5 Tolerance Stack Analysis 167

6.5.1 Worst-Case Tolerance Analysis 169

6.5.2 Rules for Assembly Shift 169

6.5.3 Worst-Case Tolerance Stack-Up in Symmetric Dimensional Tolerance 171

6.5.4 Worst-Case Tolerance Stack-Up in Asymmetric Dimensional Tolerance 173

6.6 Statistical Tolerance Analysis 173

6.6.1 Definition of Statistical Tolerance Analysis 173

6.6.2 Worst-Case Analysis vs RSS (Root-Sum Squared) Statistical Analysis 175

6.6.3 Second-Order Tolerance Analysis 176

6.6.4 Cases Discussions 176

6.6.5 Understanding Material Condition Modifiers 178

Appendix A from ISO and ASME Y14 Symbols 188

Multiple Choice Questions of this Chapter 189

References 189

7 Instrument Calibration Methods 191

7.1 Introduction 191

7.2 Definition of Calibration 191

7.3 Need for Calibration 192

7.4 Characteristics of Calibration 193

7.5 Calibration Overall Requirements and Procedures 195

7.5.1 Calibration Methods/Procedures 195

7.6 Calibration Laboratory Requirements 197

7.7 Industry Practices and Regulations 198

7.8 Calibration and Limitations of a Digital System 199

7.9 Verification and Calibration of CNC Machine Tool 201

7.10 Inspection of the Positioning Accuracy of CNC Machine Tools 202

7.11 CNC Machine Error Assessment and Calibration 207

7.12 Assessment of the Contouring in the CNC Machine Using a Kinematic Ballbar System 219

7.13 Calibration of 3-axis CNC Machine Tool 221

7.14 Calibration of a Coordinate Measuring Machine (CMM) 225

7.14.1 CMM Performance Verification 225

7.14.2 Accreditation of Calibration Laboratories 226

Section 1: Scope and Description 231

Section 2: Calibration Requirements 232

Section 3: Preliminary Operations 232

Section 4: Calibration Process 233

Section 5: Data Analysis 234

Section 6: Calibration Report 234

Multiple Choice Questions of this Chapter 235

References 235

8 Uncertainty in Measurements 237

8.1 Introduction and Background 237

8.2 Uncertainty of Measurement 238

8.3 Measurement Error 238

8.4 Why Is Uncertainty of Measurement Important? 239

8.5 Components and Sources of Uncertainty 239

8.5.1 What Causes Uncertainty? 239

8.5.2 Uncertainty Budget Components 240

8.5.3 The Errors Affecting Accuracy 240

8.6 Static Errors and Dynamic Errors 241

8.7 Types of Uncertainty 241

8.8 Uncertainty Evaluations and Analysis 242

8.9 Uncertainty Reporting 243

8.10 How to Report Uncertainty 245

8.11 Fractional Uncertainty Revisited 247

8.12 Propagation of Uncertainty 247

Multiple Choice Questions of this Chapter 252

References 252

9 Dimensional Measurements and Calibration 255

9.1 Length Measurement 255

9.2 Displacement Measurement 255

9.3 Manual Instruments 260

9.3.1 Caliper 260

9.3.2 Vernier Caliper 261

9.3.3 Micrometer 262

9.3.4 Feeler Gauge 262

9.3.5 Liner Measurement Tool 263

9.3.6 American Wire Gauge 263

9.3.7 Bore Gauge 263

9.3.8 Telescopic Feeler Gauge 264

9.3.9 Depth Gauge 265

9.3.10 Angle Plate or Tool 265

9.3.11 Flat Plate 266

9.3.12 Dial Gauge 266

9.3.13 Oil Gauging Tapes 267

9.3.14 Thread Measurement 267

9.3.15 Planimeter 267

9.4 Diameter and Roundness 269

9.4.1 How to Measure a Diameter? 269

9.4.2 Roundness 270

9.5 Angular Measurements 276

9.5.1 Line Standard Angular Measuring Devices 277

9.5.2 Face Standard Angular Measuring Devices 277

9.5.3 Measurement of Inclines 279

9.5.4 Optical Instruments for Angular Measurement 280

9.6 Metrology for Complex Geometric Features 282

9.6.1 Edge Detection Techniques Using a CCD Camera 282

9.6.2 Full Laser Scanning for Reverse Engineering 283

9.7 Measurement Surface Texture 285

9.7.1 Geometry of Surface 285

9.7.2 Surface Integrity 286

9.7.3 Specification of Surfaces 286

9.7.4 Sampling Length 287

9.7.5 Instruments and Measurement of Roughness 290

Multiple Choice Questions of this Chapter 291

References 291

10 Mechanical Measurements and Calibration 293

10.1 Importance of Mechanical Measurements 293

10.2 Mechanical Measurements and Calibration 293

10.3 Description of Mechanical Instruments 294

10.3.1 Mass Measurements 294

10.3.2 Force Measurements 295

10.3.3 Vibration Measurements 295

10.3.4 Volume and Density 296

10.3.5 Hydrometers 298

10.3.6 Acoustic Measurements 298

10.4 Calibration of Mechanical Instruments 300

10.4.1 When Is Equipment Calibration Needed? 300

10.4.2 When Is There No Need for Calibration? 301

10.4.3 Process of Equipment Calibration 301

10.5 Equipment Validation for Measurement 301

10.5.1 Is There a Need of Equipment Validation? 302

10.5.2 Features and Benefits of Validation 302

10.5.3 Process of Validation of Equipment 302

10.6 Difference between Calibration and Validation of Equipment 303

10.7 Difference between Calibration and Verification 303

10.8 Calibration of Each Instrument 304

10.8.1 Mass Calibration 304

10.8.2 Force Calibration 304

10.8.3 Pressure Calibration 304

10.8.4 Vibration Measurements 306

10.8.5 Volume and Density 307

10.8.6 Hydrometers 308

10.8.7 Acoustic Measurements 308

Multiple Choice Questions of this Chapter 308

References 308

11 Thermodynamic Measurements 309

11.1 Background 309

11.2 Scale of Temperature 309

11.2.1 Ideal Gas Law 310

11.2.2 Vacuum 310

11.2.3 Gas Constants 310

11.3 Power 312

11.4 Enthalpy 312

11.5 Humidity Measurements 312

11.6 Methods of Measuring Temperature 313

11.7 Temperature Measured through Thermal Expansion Materials 314

11.7.1 Liquid-in-Glass Thermometer 314

11.7.2 Bimetallic Thermometer 314

11.7.3 Electrical Resistance Thermometry 315

11.7.4 Resistance Temperature Detectors 316

11.7.5 Examples for Discussion 318

11.7.6 Thermistors 320

11.8 Thermoelectric Temperature Measurement or Thermocouples 321

11.8.1 Basic Thermocouples 321

11.8.2 Fundamental Thermocouple Laws 322

11.9 Thermocouple Materials 323

11.9.1 Advantages and Disadvantages of Thermocouple Materials 324

11.9.2 Thermocouple Voltage Measurement 325

11.10 Multi-Junction Thermocouple Circuits 326

11.11 Thermopiles 327

11.12 Radiative Temperature Measurement 327

Multiple Choice Questions of this Chapter 329

References 329

12 Quality Systems and Standards 331

12.1 Introduction to Quality Management 331

12.2 Quality Management 332

12.2.1 Total Quality Management (TQM) 332

12.2.2 Quality Management System (QMS) 333

12.2.3 TQM Is Essential to Complete TQS 333

12.2.4 ISO-Based QMS Certification 333

12.3 Components of Quality Management 334

12.3.1 Quality System (QS) 334

12.3.2 Quality Assurance (QA) 335

12.3.3 Quality Control (QC) 335

12.3.4 Quality Assessment 335

12.4 System Components 336

12.4.1 Quality Audits 336

12.4.2 Preventive and Corrective Action 336

12.4.3 Occupational Safety Requirements 337

12.4.4 Housekeeping Practices 338

12.5 Quality Standards and Guides 338

Multiple Choice Questions of this Chapter 339

References 340

13 Digital Metrology Setups and Industry Revolution I4.0 341

13.1 Introduction 341

13.1.1 What Is a Digital Measurement? 341

13.1.2 Metrology and Digitalization 341

13.1.3 Implementation Strategy 343

13.2 Data Acquisition 343

13.3 Setup Fundamentals for Measurement and Data Acquisition 344

13.3.1 Length Measurement in Open Loop 344

13.3.2 Thermal Measurement and Data-Acquisition Considerations 345

13.3.3 Data Transfer to Cloud 349

13.3.4 Internet of Things (IoT) Metrology 349

13.3.5 Closed-Loop Data Analysis- (In-Process Inspection) 350

13.4 Digital Twin Metrology Inspection 352

Multiple Choice Questions of this Chapter 354

References 354

Index 357

Samir Mekid, PhD, is Professor of Mechanical Engineering and Founding Director of the Interdisciplinary Research Center for Intelligent Manufacturing and Robotics at King Fahd University of Petroleum and Minerals in Saudi Arabia. He has worked as a design engineer with Caterpillar and is a Chartered Engineer registered with IMechE.

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