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عدد المساهمات : 18967 التقييم : 35407 تاريخ التسجيل : 01/07/2009 الدولة : مصر العمل : مدير منتدى هندسة الإنتاج والتصميم الميكانيكى
| موضوع: كتاب Applied Design of Experiments and Taguchi Methods الخميس 05 مارس 2015, 12:44 am | |
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أخوانى فى الله أحضرت لكم كتاب Applied Design of Experiments and Taguchi Methods K. Krishnaiah P. Shahabudeen
ويتناول الموضوعات الأتية :
REVIEW OF STATISTICS Introduction Normal Distribution Standard Normal Distribution Distribution of Sample Means The t-Distribution The F-Distribution Confidence Intervals Confidence Interval on a Single Mean () Confidence Interval for Difference in Two Mean Hypotheses Testing Tests on a Single Mean Tests on Two Means Dependent or Correlated Samples Problems FUNDAMENTALS OF EXPERIMENTAL DESIGN Introduction Experimentation Conventional Test Strategies Better Test Strategies Efficient Test Strategies Need for Statistically Designed Experiments Analysis of Variance Basic Principles of Design Replication Randomization Blocking Terminology Used in Design of Experiments Steps in Experimentation Problem Statement Selection of Factors, Levels and Ranges Selection of Response Variable Choice of Experimental Design Conducting the Experiment Analysis of Data Conclusions and Recommendations Choice of Sample Size Variable Data Attribute Data Normal Probability Plot Normal Probability Plotting Normal Probability Plot on an Ordinary Graph Paper Half-normal Probability Plotting Brainstorming Cause and Effect Analysis Linear Regression Simple Linear Regression Model Multiple Linear Regression Model P r o b l e m s SINGLE-FACTOR EXPERIMENTS – Introduction Completely Randomized Design The Statistical Model Typical Data for Single-factor Experiment Analysis of Variance Computation of Sum of Squares Effect of Coding the Observations Estimation of Model Parameters Model Validation Analysis of Treatment Means Multiple Comparisons of Means Using Contrasts Randomized Complete Block Design Statistical Analysis of the Model Estimating Missing Values in Randomized Block Design Balanced Incomplete Block Design (BIBD) Statistical Analysis of the Model Latin Square Design The Statistical Model Graeco-Latin Square Design The Statistical Model Problems MULTI-FACTOR FACTORIAL EXPERIMENTS – Introduction Two-factor Experiments The Statistical Model for a Two-factor Experiment Estimation of Model Parameters The Three-factor Factorial Experiment The Statistical Model for a Three-factor Experiment Randomized Block Factorial Experiments The Statistical Model Experiments with Random Factors Random Effects Model Determining Expected Mean Squares The Approximate F-test Rules for Deriving Degrees of Freedom and Sum of Squares Rule for Degrees of Freedom Rule for Computing Sum of Squares Problems THE k FACTORIAL EXPERIMENTS – Introduction The Factorial Design Determining the Factor Effects Development of Contrast Coefficients The Regression Model The Factorial Design Development of Contrast Coefficient Table Yates Algorithm for the k Design The Regression Model Statistical Analysis of the Model The General k Design The Single Replicate of the k Design Addition of Center Points to the k Design Problems BLOCKING AND CONFOUNDING IN k FACTORIAL DESIGNS – Introduction Blocking in Replicated Designs Confounding The k Factorial Design in Two Blocks Assignment of Treatments to Blocks Using Plus–Minus Signs Assignment of Treatments Using Defining Contrast Data Analysis from Confounding Designs Complete Confounding Partial Confounding Confounding k Design in Four Blocks Confounding k Factorial Design in m Blocks Problems TWO-LEVEL FRACTIONAL FACTORIAL DESIGNS – Introduction The One-half Fraction of the k Design Design Resolution Construction of One-half Fraction with Highest Resolution The One-quarter Fraction of k Design The k–m Fractional Factorial Design Fractional Designs with Specified Number of Runs Fold-over Designs Problems RESPONSE SURFACE METHODS – Introduction Response Surface Designs Designs for Fitting First-order Model Central Composite Design (CCD) Box–Behnken Designs Analysis of Data From RSM Designs Analysis of First-order Design Analysis of Second-order Design Problems
QUALITY LOSS FUNCTION – Introduction Taguchi Definition of Quality Taguchi Quality Loss Function Quality Loss Function (Nominal—the best case) Quality Loss Function (Smaller—the better case) Quality Loss Function (Larger—the better case) Estimation of Quality Loss Traditional Method Quality Loss Function Method Problems TAGUCHI METHODS – Introduction Taguchi Methods Development of Orthogonal Designs Robust Design System Design Parameter Design Tolerance Design Basis of Taguchi Methods Steps in Experimentation P r o b l e m s DESIGN OF EXPERIMENTS USING ORTHOGONAL ARRAYS – Introduction Assignment of Factors and Interactions Linear Graph Selection and Application of Orthogonal Arrays Problems DATA ANALYSIS FROM TAGUCHI EXPERIMENTS – Introduction Variable Data with Main Factors Only Variable Data with Interactions Variable Data with a Single Replicate and Vacant Column Attribute Data Analysis Treating Defectives as Variable Data Considering the Two-Class Data as and Transformation of Percentage Data Confirmation Experiment Confidence Intervals Confidence Interval for a Treatment Mean Confidence Interval for Predicted Mean Confidence Interval for the Confirmation Experiment Problems ROBUST DESIGN – Introduction Factors Affecting Response Objective Functions in Robust Design Advantages of Robust Design Simple Parameter Design Inner/Outer OA Parameter Design Relation between S/N Ratio and Quality Loss Problems MULTI-LEVEL FACTOR DESIGNS – Introduction Methods for Multi-level Factor Designs Merging Columns Dummy Treatment Combination Method Idle Column Method Problems MULTI-RESPONSE OPTIMIZATION PROBLEMS – Introduction Engineering Judgment Assignment of Weights Data Envelopment Analysis based Ranking Method Grey Relational Analysis Factor Analysis Genetic Algorithm P r o b l e m s CASE STUDIES – Maximization of Food Color Extract from a Super Critical Fluid Extraction Process Automotive Disc Pad Manufacturing A Study on the Eye Strain of VDT Users Optimization of Flash Butt Welding Process Wave Soldering Process Optimization Application of L OA A p p e n d i c e s – R e f e r e n c e s – Index
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