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ACCEPTANCE SAMPLING Introduction The main purpose of acceptance sampling is to decide whether or not the lot is likely to be acceptable, not to estimate the quality of the lot. Comment: Implement when the vendor's SPC not available, destructive test , inspection cost is high and intend to improve the quality. Scopes This course cover:1. Acceptance Sampling terminology (AQL, AOQL, LQ, ATI, ASN, etc), application, plan, design, and its importance and requirements. 2. Statistical and probability concept in acceptance sampling. 3. Contrast an Acceptance Sampling plan. 4. Lot-by-lot Acceptance Sampling by attributes. 5. Acceptance Sampling Systems (attribute and variable). 6. Proper used on Standard Acceptance Sampling plan (MIL-105E, ANSI/ASQ Z1.4,Z1.9,etc). Review problems and exercises are included to make studies more effective. Training Objective At the end of the training, the trainees will be able to understand:1. The property of probability distribution 2. The role of acceptance sampling in Quality Control System 3. An individual sampling plan that states the lot size (N), sample size (n), acceptance number (c) , and acceptance criteria. 4. The difference between attributes and variables sampling plans. 5. How to determine the OC Curve for a single sampling plan for attributes. 6. How to used single, double and sequential sampling plans. 7. How to determine the AOQ curve and AOQL for a single sampling plan for attributes. 8. The means of ATI and ASN. 9. General structure and use of the ANSI/ASQ standards for sampling plan 10. Switching rules of sampling plans for the standard. Who Should Attend Production personnel , Engineers, Technicians, Supervisor, Managers. Participants must be comfortable using a scientific calculator and simple algebra formulas.

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ACCEPTANCE SAMPLING ( Two days training ) COURSE CONTENTS No . 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. Contents Terminolo gy Introdu ction to Acceptance Sampling Basic Mathematics of Accep tance Sampling Evalu ation Technique o f Acceptance Samp ling Plan Test / Q&A Typ e of Accep tance Samp ling Plan Stip ulate o f Acceptance Sampling Plans Design Recognize Insp ection Reduction Technique Accep tance Samp ling S ystems Summary o f Sampling Plans Review Prob lems and exercises Appendix

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ACCEPTANCE SAMPLING Co ntents / Sub -Title Day-1 1. Termino log y 2. Introductio n to Accep tance Samp ling 2.1 What is Accep tance Samp ling 2.2 The impo rtance of Samp ling 2.3 Ad vantages and Disad vantages o f Acceptance Sampling 2.4 The ro le of Accep tance Samp ling / Insp ectio n 2.5 Concept of Accep tance Samp ling Plan b y Tod ay 3. Basic Mathematics o f Acceptance Sampling 3.1 Statistics 3.2 Prob abilit y 3.3 Simple Accep tance Samp ling P lans 3.4 Performance o f a Sampling Plans 4. Evaluatio n Techniqu e of Accep tance Sampling Plan 4.1 Introdu ction 4.2 OC Curve 4.3 AOQ 4.4 ASN 4.5 ATI 4.6 Case Stud y 5. Test / Q&A Day-2 6. Type o f Acceptance Sampling Plan 6.1 Lot b y lo t Acceptance Sampling for Attributes 6.2 Continu ou s Produ ction Acceptance Sampling fo r Attributes 6.3 Accep tance Samp ling for Variables 7. Stipu late of Accep tance Samp ling Plans Design 7.1 For Stipulated Producer's Risk 7.2 For Stipulated Consumer's Risk 7.3 For Stipulated Producer's and Consumer's Risk 7.4 Some Comments 8. Reco gnize Inspectio n Red uction Techniqu e 8.1 Red uctio n Samp ling 8.2 Multiple Samp ling P lan 8.3 Sequential Sampling 8.4 Skip-lo t Sampling

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9. Acceptance Sampling S ystems 9.1 ANSI/ASQ Z1.4-1993 (MIL-STD-105 E) 9.2 Dodge-Romig Tab les 9.3 ANSI/ASQ Z1.9-1993 (MIL-STD-414 ) 10. Summary o f Sampling Plans 10.1 Samp ling Princip les 10.2 Samp ling Ad vantages 10.3 Samp ling Disadvantages 10.4 Samp ling Precautio ns 10.5 Samp ling Plan Summary 11. Review Prob lems and exercises 12. App endix

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GAGE REPEATABILITY AND REPRODUCIBILITY STUDIES Introduction: R&R Studies analyze the variation of measurements of a gage (repeatability) and the variation of measurements by operators (reproducibility). Scope: Why perform Gage R&R Studies · They help to avoid significant measurement error on product acceptance and on control charts and/or process capability studies. · They provide criteria for accepting new measuring equipment. · Comparisons between different measuring devices can be made more effectively. · They help to evaluate deficient gages as opposed to incapable/out-of-control processes. · They provide validity for statistical control and capability methods used in the process. · They improve equipment maintenance, selection, calibration, and use. · They improve observer's training and skill (as necessary). When Should Gage R&R Studies be performed The most effective time to perform gage R&R studies is before the gage is used to gather data or inspect products. In this preventative mode, problems that are associated with taking data, charting, capability analysis, acceptance errors, and so on are avoided because the measurement system that fails a gage R&R study is corrected before data are collected. Along with the prevention mode, however, comes the task of performing a variety of studies before data collection can begin. Gage R&R is a proven analysis method for measuring the capability of the measurement system and isolating the primary source(s) of measurement errors (observer or instrument). Using gage R&R, the intent is to:(1) identify the measurement processes that require improvement, (2) identify the source of measurement errors (observer or equipment), and (3) correct the error. Training Objectives · To understand the issues involved in repeatability and reproducibility (R&R) studies · To learn how to estimate the repeatability and reproducibility in a measurement process · To master the available statistical and graphical tools for summarizing and presenting study results · To make a decision on the acceptance of the measurement system · Exercises are given to make the studies more effective. Who Should Attend · Laboratory, production line and quality control personnel, anyone who must determine the accuracy and precision of gages, instruments and operators in a measurement process. · Participants must be comfortable using a scientific calculator and simple algebra formulas.

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GAGE REPEATABILITY AND REPRODUCIBILITY STUDIES ( Two days training ) COURSE CONTENTS Chapter No. 1) 2) 3) 4) 5) 6) 7) 8) 9) 10) 11) 12) 13) 14) Description Terminology Basic Statistical Concepts Probability Distribution Introduction to Gauge R&R Studies Procedures for Performing Gauge R&R Studies Measurement Capability Indices Planning for the Gage R&R Studies Method of Gage R&R Studies Relationship of the Measurement Capability Indices & Process capability Comparison of R&R Result to Manufacturer's Specifications. Study on Unacceptable Result. Conducting R&R Studies Appendix Review Problems and Exercise

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Gage R&R Studies Co ntents / Sub -Title 1. Terminology 1.1 Definitions of Common Terms in Gage R&R Studies 1.2 Glossary of Symbols 2. Basic Statistical Concepts 2.1 Introduction 2.2 Measurement of Central Tendency 2.2.1 Average 2.2.2 Median 2.2.3 Mode 2.3 Measures of Dispersion 2.3.1 Range 2.3.2 Standard Deviation 3. Probability Distribution 3.1 The Normal Distribution 3.2 Random Variable 3.3 The Central Limit Theorem 4. Introduction to Gauge R&R Studies 4.1 Scope 4.2 Introduction 4.3 Measurement Errors 4.4 Accuracy Measurement in gage R&R Studies 4.5 Accuracy Studies ­ Production Parts 4.6 Accuracy Studies ­ Standard Parts 5. Procedures for Performing Gauge R&R Studies 5.1 Standard Procedure 5.2 Relation of The Procedure to Control Charts 6. Measurement Capability Indices 6.1 MCI1 ­ Measurement Capability Index as a % of Process Variation 6.2 MCI2 ­ Measurement Capability Index as a % of Process Specification 6.3 Comparison of Measurement Capability Indices 7. Planning for the Gage R&R Studies 8. Method of Gage R&R Studies 8.1 Variable Studies (Range Method) 8.1.1 The Long-Form Range Method

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Attribute Studies 8.2.1 The Long-Form Attribute Study 8.2.2 The Short-Form Attribute Study

9. Relationship of the Measurement Capability Indices & Process capability 9.1 Introduction 9.2 What is the Effect of R&R on Process Capability? 9.3 How Do The Indices Relate to One Another and To Cp? 10. Comparison of R&R Result to Manufacturer's Specifications. 11. Study on Unacceptable Result. 12. Conducting R&R Studies 12.1 Conducting and R&R Study and Measurement Systems Analysis 12.2 Collection of Data 12.3 Determination of Various Indices 12.4 Guidelines for R&R Acceptability of a Measurement System 12.5 Example of an R&R Study-Data Collection and Analysis 13. Appendix Appendix A Appendix B Appendix C Appendix D Appendix E Appendix F Appendix G Appendix H Appendix I Appendix J Appendix K Appendix L Appendix M1 Appendix M2 Appendix M3 Appendix N


The Standard Procedure Factors for Varying Sample Sizes Derivation of Repeatability and Kl and Kz Factors Derivation of the Calculation of Reproducibility How to Address Variation Within a Sample Confidence Levels in Estimating Standard Deviations Use of Control Charts Relationship of Process Capability and Measurement Capability Indices The Effect of R&R on Process Capability Factors for Control Chart Table of Bias Factors (Attribute Gage Studies) Area Under the Normal Curve Repeatability calculation : Value of d 2 and K1 Reproducibility calculation : Value d2 and K2 Part-to-part variations : Value of d2 and K3. Values of A2, D3 and D4 factors for computing control chart limits

14. Review Problems and Exercise

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STATISTICAL PROCESS CONTROL Introduction Statistical Process Control (SPC) is a method of monitoring, controlling and, ideally, improving a process through statistical analysis. Its four basic steps include measuring the process, eliminating variances in the process to make it consistent, monitoring the process, and improving the process to its best target value. SPC will not improve a poorly designed product's reliability, but can be used to maintain the consistency of how the product is made and, therefore, of the manufactured product itself and its as-designed reliability. Properly applied statistical control can prevent problems and lead to: Continuous Improvement in product quality; improved productivity and reduced overtime, Reduced rejection, rectification, test and inspection costs. Reduce the occurrences of defective goods getting past the goods inwards stage. Scope Basic Mathematic Concepts (Statistical & Probabilities), SPC Tools, Variable Control Charts, Attribute Control Charts, Interpretation of Control Chart, Process Capability Study. We include case studies to make the studies more effective. Training Objective Why do we need SPC? If your company, division, or unit is to continue providing jobs, you will need to use SPC. Survival of the company will depend on SPC because competitors who use SPC will be able to make product or provide services better and faster. But your company can do the same and do it better. Your company will not only survive but it will grow. Who Should Attend Quality Engineers, Technicians, Managers, Engineers, Engineering Technicians, Manufacturing Engineers, Production Managers, Supervisors and personnel who wish to introduce and employ SPC techniques. Participants must be comfortable using a scientific calculator and simple algebra formulas.

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STATISTICAL PROCESS CONTROL ( Two Days Training) COURSE CONTENTS Chapter No. 1) 2) 3) 4) 5) 6) 7) 8) 9) 10) Description Terminology Introduction to Quality Introduction to TQM Basic Mathematic Concepts Introduction to Statistical Process Control SPC Tools Control Charts Process Capability Study Appendix Case Studies

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STATISTICAL PROCESS CONTROL (SPC) Co ntents / Sub -Title 1. Terminology 1.1 Terminology for SQC 1.2 Glossary for SQC Symbol Introduction to Quality 2.1 Definition 2.2 The Dimensions of Quality Introduction to TQM 3.1 Introduction 3.2 Basic Approach 3.3 New and Old Cultures 3.4 The Road to Business Growth Basic Mathematic Concepts 4.1 Statistical 4.2 Probability 4.3 Probability Distribution Introduction to Statistical Process Control 5.1 Introduction 5.2 Important of SPC 5.3 Prevention Versus Detection 5.4 SPC Goal 5.5 SPC Technique Statistical Process Control Tools 6.1 Flow Chart 6.2 Check Sheet 6.3 Histogram 6.4 Perato Chart 6.5 Cause and Effect Diagram 6.6 Scatter Diagram 6.7 Control Chart Control Charts 7.1 Introduction to Control chart 7.2 Type of Control Charts 7.2.1 Variable Control Charts 7.2.2 Attribute Control Charts Formula for Control Chart 7.3.1 Variable 7.3.2 Attribute Subgroup Size









Subgroup 7.4.1

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7.4.2 7.5

Rational Subgrouping

Variable Control Charts 7.5.1 X & R 7.5.2 X&S


Attribute Control Charts 7.6.1 p Chart 7.6.2 np Chart 7.6.3 c Chart 7.6.4 u Chart Interpretation of Control Chart 7.7.1 Process Out Of Control 7.7.2 Process In Control 7.7.3 Patterns of Control Chart (out of Control conditions):- Trends - Jumps in Process Level - Recurring Cycles - Points Near or Outside Limits - Lack of Variability



Process Capability Study 8.1 Introduction 8.2 Relationships between Process Spread and Specification 8.3 Process Capability (Variable) Appendix Statistical Tables:Table 3 Areas Under the Normal Curve Table 4 Factors for Computing Central Lines and 3 Control Limits for X ,s, and R Charts Table 25 Control Chart Factors for Mean and Range (American Usage). X -bar and R chart SPC Calculation for Control Limits. Summary of Common Probability Distribution often used in SQC. Other Charts Case Studies



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INTRODUCTION TO UNCERTAINTY IN MEASUREMENT Introduction The measurement uncertainty quantifies the distance between the actually measured value of a physical quantity and the true value of the same physical quantity. The result of any physical measurement comprises two parts: an estimate of the true value of the measurand and the uncertainty of this estimate. Scope: · Define measurement processes · Identify sources of measurement error · Select the appropriate error distributions · Estimate uncertainties using Type A and Type B analysis methods · Establish error correlations · Combine uncertainties · Develop and report uncertainty estimates for measurements Training Objective This course provides an overview of the measurement uncertainty requirements of ISO/IEC 17025. It is an ideal starting point toward understanding the measurement uncertainty requirements as they apply to your laboratory. You will learn an effective approach to calculating measurement uncertainty and methods for controlling measurement uncertainty in your measurement processes. This course includes exercises and discussions. You will gain an understanding of calculating the Measurement Uncertainty to meet the accreditation requirements of ISO/IEC 17025.

Who should attend Practicing metrologies, calibration and testing staff, personnel responsible for implementing uncertainty analysis methods and procedures for ISO 17025 compliance. Participants must be comfortable using a scientific calculator and simple algebra formulas.

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INTRODUCTION TO UNCERTAINTY IN MEASUREMENT (Two Days Training) Course Contents 1) Terminology 2) Introduction of Metrology 3) Development of Estimation of Measurement Uncertainty 4) Introduction of Measurement Uncertainty 5) Mathematical Concepts in Measurement Uncertainty 6) Concept in Measurement System 7) Measurement Uncertainty 8) Common Formulae and Distributions 9) Summary of Measurement Uncertainty 10) Class Exercises and Worked Example

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1) Terminology 2) Introduction of Metrology 2.1 Classification 2.2 Standards 2.3 Measurement Traceability and Uncertainty 2.4 National and International Body (CGPM, CIPM, BIPM, NML....) 2.5 Calibration and Testing Laboratory 2.6 Proficiency Test 3) Development of Estimation of Measurement Uncertainty 3.1 International Body of Responsibility on Measurement Uncertainty 3.2 The Standard for the Guidance on Measurement Uncertainty 4) Introduction of Measurement Uncertainty 4.1 Determining Measurement Uncertainty 4.2 Measurement Uncertainty Consideration 4.3 Managing Uncertainty 5) Mathematical Concepts in Measurement Uncertainty 5.1 Calculus 5.1.1 Differentiation 5.1.2 Partial Differentiation 5.1.3 Numerical Differentiation 5.2 Statistical 5.2.1 Sample and Population 5.2.2 Center of Tendency, Dispersion and Others Measure 5.2.3 Center Limit of Theorem 5.2.4 Expectation and Variance 5.2.5 Correlation and Regression 5.2.6 Analysis of Variance (ANOVA) 5.2.7 Design of Experiments (DOE) Probability Distribution 5.3.1 Normal Distribution (Example given) 5.3.2 Rectangular Distribution (Example given) 5.3.3 Triangular Distribution (Example given) 5.3.4 U-Shape Distribution (Example given)


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6 Concept in Measurement System 6.1 Introduction 6.2 Gauge Accuracy Studies 6.3 Gauge Capability Studies 6.4 Measurement Process Control 6.5 Type of Measurement Errors 6.6 The Risks due to Measurement Errors 7 Measurement Uncertainty 7.1 The Measurement Problem 7.2 Mathematical Model 7.3 Evaluation of Type A Uncertainty 7.4 Evaluation of Type B Uncertainty 7.5 Sensitivity of Coefficients 7.6 Combined Standard Uncertainty / Law of Propagation Uncertainty 7.7 Effective Degree of Freedom 7.8 Expanded Standard Uncertainty 7.9 Reporting the Standard Uncertainty 7.10 Summary 7.11 Uncertainty Budget 8 Common Formulae and Distributions 9 Summary of Measurement Uncertainty 10 Worked Examples & Class Exercises

11. Appendix

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DIMENSIONAL METROLOGY (PRINCIPLE IN CALIBRATION / COMMON MEASURING TOOLS) Introduction: Dimensional measurement is a comparison to some specific standard. Gages and measuring equipment that are used to gage (or measure) a part feature are comparing that feature to the standard that was used to calibrate the gage. Part 1: Principle in Calibration Calibration is the process consists of comparing an inspection, measuring and test equipment unit with specified tolerances, but of unverified accuracy, to a measurement system or device of specified capability and known uncertainty in order to detect, report, or minimize by adjustment any deviations from the tolerance limits or any other variation in the accuracy of the instrument being compared. Part 2: Common Measuring Tools Helpful hints are given on the many causes of errors in measurement and certain ways to avoid such errors. It is worthwhile to study the possible errors related to each tool and keep them in mind when using the tools Scope Part 1 brief on concept in calibration. Introduction to international and national body in calibartion, general requirements in calibration, calibration laboratory, calibration systems, statistical concepts in calibration and proficiency test which tell us on the quality of calibration process. This course will provide knowledge to trainees on the quality of calibration results and reports. Part 2 brief on selection, check & care for common linear measuring instruments. This course also include case studies. Training Objective Provide further knowledge of calibration; especially to quality and engineering department, the person in-charged of calibration and person receiving the calibration certificates so that they know how to check and verified the quality of calibration report and more confident to answer the auditors during quality auditing regarding the calibration matters. Trainers also learn how to handle the common measuring tools correctly and how to take care of their tools. Who Should Attend QA & QC departmental staff handling of common tools and calibration, Engineers, Technician, Person in charge of Calibration. Participants must be comfortable using a scientific calculator and simple algebra formulas.

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PART ONE: PRINCIPLES IN CALIBRATION 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. Terminology / Glossary Introduction of Metrology Introduction of Calibration General Requirement for Calibration Laboratory Paper Standards Require in Calibration International and National Body in Calibration Malaysia Body in Calibration Calibration Laboratories Statistical Concepts in Calibration Calibration Quality Systems Metrological Concepts in Calibration Assuring the Quality of Calibration Results Calibration Directory Case Study ­ Data Collection Case Study ­ Interpretation of Calibration Result Case Study ­ Presentation of Calibration Report

PART TWO: COMMON TOOLS 1. Dimensional Measurement 2. Measurements and Accuracy 3. Types of Measurement Errors 4. Common Tools 5. Basic Calibration Techniques

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PART ONE: PRINCIPLES IN CALIBRATION Co ntents / Sub -Title 1. Terminology / Glossary 2. Introduction of Metrology 2.1 Classification 3. Introduction in Calibration 3.1 Introduction 3.2 Definition of Calibration 4. General Requirement for Calibration Laboratory 4.1 Introduction 4.2 Management Requirement 4.3 Technical Requirement 4.4 Personnel Organization Responsibilities 4.5 Other General requirement in ISO/IEC 17025 5. Paper Standards Require in Calibration 5.1 ISO/IEC 17025 5.2 ISO 9001:2000 5.3 TS16949 5.4 Calibration Method 6. International and National Body in Calibration 6.1 BIPM 6.2 CGPM 6.3 CIPM 6.4 NML 7. Malaysia Body in Calibration 7.1 DSM 7.2 SAMM 7.3 NML 8. Calibration Laboratories 8.1 Accreditation of Calibration Laboratory 8.2 Standards Laboratories 8.3 Validation of Standards Laboratories 9. Statistical Concepts in Calibration 9.1 Statistical Population and Sample

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9.2 Centre of Tendency, Dispersion and Other Measure Center Limit Theorem Statistical Techniques in Metrology

10. Calibration Quality Systems 10.1 Calibration Procedures 10.2 Calibration Records 10.3 Calibration Certificates 10.4 Calibration Equipments 10.5 Training 10.6 Environment Controls 10.7 Calibration Interval 10.8 Audit Requirement 10.9 Scheduling and Recall Systems 10.10 Label and Equipment Status 11. Metrological Concepts in Calibration 11.1 Calibration Standard ­ SI Unit 11.2 Measurement Traceability 11.3 Measurement Uncertainty 11.4 Measurement Uncertainty and Traceability 12. Assuring the Quality of Calibration Results 12.1 Proficiency Test 12.2 Calibration Control System 13. Calibration Directory 13.1 Type of Calibration 13.1.1 DC and Low Frequency 13.1.2 Radio Frequency and Microwave 13.1.3 Mass and Weight 13.1.4 Dimensional and Mechanical Parameter 13.1.5 Optical, Radiation and chemical 13.2 Scope of Accreditation

CASE STUDY (14 to 16) 14. Data Collection 14.1 Repeatability 14.2 Reproducibility 14.3 Introduction to R&R Studies

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15. Interpretation of Calibration Result 15.1 Errors 15.2 Traceability 15.3 Uncertainty 15.4 Tabulate Calibration Result 16. Presentation of Calibration Report 16.1 Requirement 16.2 Responsibility 16.3 Authority

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PART TWO: COMMON TOOLS CONTENTS 1. Dimensional Measurement 2. Measurements and Accuracy 3. Types of Measurement Errors 4. Common Tools 5. Basic Calibration Techniques

PART TWO: COMMON TOOLS Co ntents / Sub -Title

1. Introduction 1.1 Dimensional Measurement 1.2 Measuring Tools 1.2.1 References and Measured Surfaces 1.2.2 Reading the Tools 1.2.3 Selecting the Proper Tool for the Measurement 1.2.4 Unnecessary Accuracy 1.2.5 Transfer Tools 1.2.6 Attribute Gages 1.2.7 Variable Gages 1.3 Accuracy and Precision 1.4 Care of Tools 2. Measurements and Accuracy 2.1 calibration, 2.2 manipulation, 2.3 reading, 2.4 workpiece geometry, 2.5 measuring pressure 2.6 dirt and burrs. 3. Types of Measurement Errors 3.1 Observational. 3.2 Manipulative. 3.3 Bias.

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3.4 Gage errors. 3.5 Part error. 4. Common Tools 4.1 The Steel Rule 4.2 Mechanical Indicators 4.2.1 Types of Dials 4.2.2 Choosing Which Indicator to Use 4.2.3 The Rule of Discrimination 4.2.4 Indicator Travel 4.2.5 Contact Tips 4.2.6 Checking for Repeatability and Accuracy 4.2.7 Care of Indicators 4.2.8 Errors in Using Indicators 4.2.9 TIR, FIR, AND FIM 4.3 Dial Indicating Gage 4.3.1 Cautions When Using Dial Gages 4.3.2 Examples of Dial Indicating Gages Dial Indicating Micrometers Dial Calipers. Micrometers 4.4 Vernier Instruments 4.5 Feeler Gauge 4.6 Measuring Tape 5. Basic Calibration Techniques 5.1 Calibration Intervals 5.2 Calibration Systems 5.3 Calibration Methods 5.4 Calibration Environment 5.5 Risks without a Calibration System

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INTERPRETATION OF TECHNICAL DRAWING Introduction The ability to read and interpret technical drawings is important in a large number of trades and professions, from bricklaying to engineering. Essentially, two skills are required: to understand the meaning of the lines and symbols drawn on the page; and to make the mental conversion of these two dimensional drawings (plans and elevations) into a three dimensional (3-D) reality. Scope Computer Assisted Draughting (CAD) is getting more popular in the engineering industries but this focuses on techniques of drawing, not on how to interpret existing drawings. This course covers four main areas as follow: (a) Technical Drawings- Common terminology, drawing sheet, projection views, angle projection, lines, sectional views, auxiliary view, dimensioning and notation, allowances and fits, chamfers, rounds and fillets, threads and gears (b) (c) Dimensional Metrology- Introduction to Metrology, common dimensional measurement instruments and Measurement system. Geometric Dimensioning & Tolerancing ­ Last square estimation method, Symbols, Rules, Standards, Projected zone, Tangent zone, Free-State variation, Restrained features & Interpreting of GD&T. Case study


Training Objective For technical people, it is very difficult to do a proper measurement, made a jig or a part without the understanding of technical drawing. Sales personnel may prepare a wrong quotation due to lack of knowledge from the technical drawings obtained from the clients. Who Should Attend Personnel involve in technical drawings, measurement, Technical Sales personnel, Sales Manager and Person who made quotation base on technical drawing.

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INTERPRETATING TECHNICAL DRAWING (A) TECHNICAL DRAWING 1. Terminology 2. Introduction to Technical Drawing 3. Drawing Sheet 4. Axonometric Projection Views 5. Angle Projection in Technical Drawing 6. Lines on Technical Drawing 7. Orthogonal Projection Views 8. Sectional Views 9. Auxiliary Views 10. Dimensioning and Notation 11. Allowances and Fits 12. Chamfers, Rounds and Fillets 13. Threads 14. Gears (B) DIMENSIONAL METROLOGY 1. Terminology 2. Introduction of Metrology 3. Common Dimensional Measurement Instruments 4. Measurement Systems (C) GEOMETRIC DIMENSIONING AND TOLERANCING 1. Least Square Estimation Method 2. General Symbols and Pertinent Definitions 3. General Rules for Geometry Tolerancing 4. Standard for Geometry Dimensioning & Tolerancing 5. Projected Zone 6. Tangent Plane 7. Free-State Variation 8. Restrained Features 9. Interpretation of Geometry Dimensioning and Tolerancing (D) CASE STUDIES

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INTERPRETATING TECHNICAL DRAWING Detail Course Outline (A) TECHNICAL DRAWING 1) Terminology 2) Introduction to Technical Drawing 2.1 Artistic Drawings 2.2 Technical Drawings 2.3 Type of Technical Drawings 2.3.1 Parallel Projection 2.3.2 Perspective Projection 2.4 Purpose of Technical Drawing 2.5 Applications of Technical Drawings 2.6 Technical Drawing & Quality Competitiveness 2.7 Line Used in Sketching 2.8 Types of Sketches 3) Drawing Sheet 3.1 Sizes of Drawing 3.2 Layout of Drawing Sheet 3.3 Title Block 3.4 Change Block 3.5 Notes 3.6 Tabular Dimension 3.7 Tolerances 4) Axonometric Projection Views 4.1 Introduction 4.2 Isometric Projection 4.3 Isometric Axes and Lines 4.4 Isometric Scale 4.5 Illustration of Isometric Projection and View 4.6 Exercise 5) Angle Projection in Technical Drawing 5.1 Visualization 5.2 First Angle and Third Angle Projections 6) Lines on Technical Drawing 6.1 Object (visible) 6.2 Centerline 6.3 Hidden 6.4 Leader 6.5 Extension 6.6 Dimension 6.7 Section 6.8 Phantom 6.9 Cutting Plane 6.10 Short Break

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6.11 6.12 6.13

Long Break Cylindrical Break Chain Line

7) Orthogonal Projection Views 7.1 Normal Surfaces 7.2 Two Orthographic Views 7.3 Multiple Orthographic Views 7.4 Object Description Requirements 7.5 Dimension Transfer Methods 7.6 Hidden Lines 7.7 Center Lines 7.8 Surface Categories 8) Sectional Views 8.1 Introduction 8.2 Cutting-Plane Line 8.3 Direction of Sight 8.4 Section Lining 8.5 Multi-section Views 8.6 Kinds of Section 8.6.1 Full Section 8.6.2 Offset Section 8.6.3 Half Section 8.6.4 Broken-out Section 8.6.5 Revolved (Rotated) Section 8.6.6 Removed Section 8.6.7 Auxiliary Section 8.6.8 Thin wall Section 8.6.9 Assembly Section 9) Auxiliary Views 9.1 Introduction 9.1.1 Defined 9.1.2 Hidden Lines 9.2 Secondary Auxiliary Views 9.3 Partial Views 9.4 Auxiliary Section 9.5 Half Auxiliary Views 10) Dimensioning and Notation 10.1 No Commas in Metric Dimensions 10.2 Proper Placement 10.3 Leader and Lettering 10.4 Foreshortening Radius 10.5 Curved Surfaces 10.6 Hole Locations 10.7 Callouts 10.7.1 Countersunk Holes 10.7.2 Counter bored Holes 10.7.3 Spot Faces 10.8 Cylinder

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10.9 10.10 10.11 10.12 10.13 10.14

Double External Rounded Ends Hidden Lines Not to Scale Finish Marks Others

11) Allowances and Fits 11.1 Clearance Fit 11.2 Interference Fit 11.3 Line-to-Line Fit 12) Chamfers, Rounds and Fillets 13) Threads 13.1 13.2 13.3 13.4 13.5 13.6 13.7 13.8 14) Gears 14.1 14.2 14.3 14.4 14.5 14.6 14.7 14.8 14.9 14.10 14.11 Introduction Unified Thread Form Class Numbers Pitch (or Lead) English Thread Callouts Metric Thread Callouts Number Thread Callouts Safety Critical Thread Callouts Introduction Kinds of Gear Gear Ratio Pitch Diameter Gear Blank Backlash Basic Terminology Diameter Pitch (P) Pressure Angle Center-to-Center Distances Measurements Required to Use a Gear Tooth Caliper

(B) DIMENSIONAL METROLOGY 1) Terminology 2) Introduction of Metrology 2.1 Metrology Classification 2.2 Physical and Chemical Metrology 2.3 Legal, Industrial and Scientific Metrology 2.4 Metrology Organization Chart 3) Common Dimensional Measurement Instruments 3.1 Plug / Pin Gauges 3.2 Ring Gauges 3.3 Calipers 3.4 Micrometers

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3.5 3.6 3.7 3.8 3.9

Gauge Blocks Dial and Dial Test indicators Optical Comparators (Profile Tolerances) Coordinate Measuring Machines Surface Plates

4) Measurement Systems

(C) GEOMETRIC DIMENSIONING AND TOLERANCING 1) Least Square Estimation Method 2) General Symbols and Pertinent Definitions 3) General Rules for Geometry Tolerancing 4) Standard for Geometry Dimensioning & Tolerancing 5) Projected Zone 6) Tangent Plane 7) Free-State Variation 8) Restrained Features 9) Interpretation of Geometry Dimensioning and Tolerancing Introduction Interpretation of Geometry Tolerances Principles of Measurement (D) CASE STUDIES

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GEOMETRIC DIMENSIONING AND TOLERANCING Introduction Geometric Dimensioning and Tolerancing (GD&T) is a universal language of symbols, GD&T symbols allow a Design Engineer to precisely and logically describe part features in a way they can be accurately manufactured and inspected. Dimensioning and Tolerancing and Geometric Dimensioning and Tolerancing specifications are used as follows: Dimensioning specifications define the nominal, as-modeled or as-intended geometry. Tolerancing specifications define the allowable variation for the form and possibly the size of individual features, and the allowable variation in orientation and location between features. GD&T is used most often on engineering drawings. There are several standards available world-wide that describe the symbols and define the rules used in GD&T. One such standard is ASME Y14.5M-1994. There are seven shapes, called geometric elements, used to define a part and its features. The shapes are: point, line, plane, circle, cylinder, cone and sphere. There are also certain geometric characteristics that determine the condition of parts and the relationship of features. The main purpose of GD&T is to ensure, · size - the overall dimensions are as specified · form - the shapes specified must have the correct geometrical form · fit - two parts must mate as specified · function - the product conforms to performance specification Who Should Attend Designer, engineers, quality, manufacturing, inspection and all others require to interpret or apply GD & T

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GEOMETRIC DIMENSIONING AND TOLERANCING (2 Days Training) Course Code : D2-EN02-L1-R041 1) Terminology 2) Engineering Drawing i) Angle Projection ii) Lines iii) Views iv) Drawing Elements v) Allowances and Fillets vi) Feature Control Frame vii) Rules to Follow on Drawing viii) Threads 3) Introduction Geometry Dimensioning and Tolerancing i) Definitions ii) General Symbols iii) General Rules 4) Measurement Accuracy and Precision 5) Standard for Geometry Dimensioning and Tolerancing 6) Modifiers i) Maximum and Least Material Conditions ii) Regardless of Feature Size iii) Projected Zone iv) Tangent Plane v) Free State 7) Datum i) Categories of Datums ii) Functional and Nonfunctional iii) Compound iv) Offset Compound v) Equalizing 8) Tolerances i) Form ii) Orientation iii) Runout iv) Profile v) Location 9) Functional Gauges i) Introduction ii) Design Principles iii) Design (Examples) 10) Case Studies

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(PRACTICAL DIMENSIONAL METROLOGY) COORDINATE MEASURING MACHINE ­ Technical Drawings, Geometric Dimensioning & Tolerancing (Usage & Application) 4 Days Training Course Code : D4-EN02-L1-R041

The four days training will be inclusive of theoretical and hands on activities. TRAINING OBJECTIVE To enhance engineers and technician knowledge on concept of measurement systems and hands on technical skill by operating CMM for measuring parts more effective and confident with measurement results. To ensure the confident of measurement results, the instruments must send for calibration and the operators must equip with sufficient knowledge and technical skill through technical training. Technical Drawing- The mark of a good technical drawing contains all of the information needed by individuals for converting the idea or concern into reality. The conversion process may involve manufacturing, assembly, construction, or fabrication. Regardless of the process involved, a good technical drawing allows the conversion process to proceed without having to ask designers or drafters for additional information or classification. SCOPE 1. 2. Concept of measurements. Technical Drawing ­ cover engineering drawing, geometric dimensioning and tolerancing (form, orientation, positioning, runout, modifier, datum and profile) and application of design drafting such as screws and gears. Hands on CMM Basic Measurement: measure elements (point, line circle, sphere, cylinder, cone and torus), length and angle. Advance Measurement : Special tasks, tolerancing measurements, part programming.


WHO SHOULD ATTEND Person handling of CMM Machine, personal has job connection with measurement.

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Day One of Four Part 1: ENGINEERING DRAWING 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Terminology Introduction to Technical Drawing Angle Projection in Engineering Drawing Lines on Engineering Drawing Multi Views Drawing Elements in Engineering Drawing Allowances and Fillets Screws Awareness on Engineering Drawings ­ For Discussion Engineering Drawing ­ Case Study

Part 2: GEOMETRY DIMENSIONING & TOLERANCING 11 12 13 14 15 16 17 18 19 20 Terminology Objective General Symbols and Pertinent Definitions General Rules for Geometry Tolerancing Measurement Accuracy and Precision Standard for Geometry Dimensioning & Tolerancing Principle of Material Condition Datum Geometric Tolerances Functional Gauge & Application of GD & T

Part 3: CMM 21 Theoretical and Hands-on

Day Two of Four Chapter No. Description 1 2 3 4 5 6 7 8 Geometry Dimensioning & Tolerancing Introduction to CMM Function Keys Operation Steps of U-Soft Elements Product Connection with Elements Special Task Alignment

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Day Three of Four Chapter No. 1 2 3 4 5 6 7


Alignment Part Programming Part Program Management Macro Call Offline Mode Looping (using the demo part) Hands on Measurement ­ by using the part provided.

Day Four of Four Practical (Total Time Given : 80minutes) Part 1: Hands On (20 minutes) Part 2: Part Program (20 minutes) Part 3: Theoretical (40 minutes)

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(PRACTICAL DIMENSIONAL METROLOGY) MEASURING PROJECTOR Technical Drawings, Geometric Dimensioning & Tolerancing (Usage & Application) Two Days Training (Course Code : D2-EN04-L1-R041)

Course Contents Chapter No. (1) (2) (3) (4) (5) (6) (7) (8) Title Glossary Introduction of Profile Projector Basic Technical Knowledge & Maintenance of Profile Projector Coordinate Geometry Study Introduction to Technical Drawing Introduction to Geometric Dimensioning & Tolerancing Understanding of Profile Projector Software Hands On Profile Projector

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CALIBRATION (HANDS ON) Two Days Training Course Code : D2-EN05-L1-R041

A) INTRODUCTION ON CALIBRATION 1. Terminology 2. Introduction of Metrology 3. Introduction of Calibration Standards 4. Introduction of Calibration Laboratory 5. International Bodies on Measurement Systems 6. National Body on Measurement Systems 7. Introduction ISO/IEC 17025 8. Calibration Assurance Programs 9. Concepts of Measurement 10. Mathematic Concepts in Metrology B) CALIBRATION ON INSTRUMENT (Refer to C) 1. Understanding the Instrument and usage 2. Introduction 3. Environment Condition 4. Calibration Standards 5. Calibration Procedures 6. Calibration Check-list 7. Measurement Traceability and Uncertainty 8. Calibration Reports 9. Practice 10. Summary and Q&A C) INSTRUMENT 1. Coordinate Measuring Machine 2. Measuring Projector 3. Torque 4. Weight Scale (Balance) 5. Caliper 6. Dial Gauge and Dial Test Indicator 7. Height Gauge 8. Micrometer



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