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Fundamentals of Design of Experiments for Automotive Engineering Volume I

Author : Young J. Chiang

Publisher : SAE International

Page : 358 pages

File Size : 43,61 MB

Release : 2023-11-28

Category : Computers

ISBN : 1468606034

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Book Description

In a world where innovation and sustainability are paramount, Fundamentals of Design of Experiments for Automotive Engineering: Volume I serves as a definitive guide to harnessing the power of statistical thinking in product development. As first of four volumes in SAE International’s DOE for Product Reliability Growth series, this book presents a practical, application-focused approach by emphasizing DOE as a dynamic tool for automotive engineers. It showcases real-world examples, demonstrating how process improvements and system optimizations can significantly enhance product reliability. The author, Yung Chiang, leverages extensive product development expertise to present a comprehensive process that ensures product performance and reliability throughout its entire lifecycle. Whether individuals are involved in research, design, testing, manufacturing, or marketing, this essential reference equips them with the skills needed to excel in their respective roles. This book explores the potential of Reliability and Sustainability with DOE, featuring the following topics: - Fundamental prerequisites for deploying DOE: Product reliability processes, measurement uncertainty, failure analysis, and design for reliability. - Full factorial design 2K: A system identification tool for relating objectives to factors and understanding main and interactive effects. - Fractional factorial design 2RK-P: Ideal for identifying main effects and 2-factor interactions. - General fractional factorial design LK-P: Systematically identification of significant inputs and analysis of nonlinear behaviors. - Composite designs as response surface methods: Resolving interactions and optimizing decisions with limited factors. - Adapting to practical challenges with “short” DOE: Leveraging optimization schemes like D-optimality, and A-optimality for optimal results. Readers are encouraged not to allow product failures to hinder progress but to embrace the "statistical thinking" embedded in DOE. This book can illuminate the path to designing products that stand the test of time, resulting in satisfied customers and thriving businesses. (ISBN 9781468606027, ISBN 9781468606034, ISBN 9781468606041, DOI 10.4271/9781468606034)



Fundamentals of Design of Experiments for Automotive Engineering

Author : Young J. Chiang

Publisher :

Page : 0 pages

File Size : 48,70 MB

Release : 2023

Category : TECHNOLOGY & ENGINEERING

ISBN : 9781468606041

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Book Description

Front Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Acronyms -- Nomenclature -- Introduction -- Chapter 1: Reliability Deployment -- 1.1 Product Reliability Realization -- 1.1.1 Product Quality, Robustness, and Reliability -- 1.1.2 Realization Process of Product Reliability -- 1.1.3 Tools for Reliability Realization -- 1.1.4 Advanced Reliability Planning -- 1.1.5 Reliability Lauded in VOC -- 1.1.6 Product Reliability Growth -- 1.2 Uncertainty of Measurement -- 1.2.1 Accuracy: Precision and Trueness -- 1.2.2 Essential Elements of Measurement -- 1.3 Unreliability -- 1.3.1 Physical and Functional Failures -- 1.3.2 Probability of Product Failure -- 1.3.3 Failure Measured by Time -- 1.4 Design for Reliability -- 1.4.1 Reference Model and Simulation for System Identification -- 1.4.2 Boundary Diagram -- 1.4.3 Parameter Diagram (P-Diagram) -- 1.4.4 Fishbone Diagram -- 1.4.5 Variation Modes and Effect Analysis -- 1.5 Classification of DOE -- 1.5.1 Basic Types of DOE -- 1.5.2 Acceptance Sampling and Test Plans -- 1.5.3 Statistical Tolerance Design -- 1.5.4 Manufacturing Reliability -- 1.5.5 Supply Chain Reliability -- 1.5.6 Operational Reliability -- 1.5.7 Marketing Reliability -- 1.5.8 Holistic Approach -- 1.6 Software for DOE -- References -- Chapter 2: Full Factorial Design 2 K -- 2.1 Why DOE -- 2.1.1 Complete Search for Solution in the Multidomain -- 2.1.2 Tremendous Reduction in the Number of Experimental Tests -- 2.2 What Is DOE -- 2.2.1 Application for DOE -- 2.2.2 Experimental Design Process -- 2.2.3 History of DOE -- 2.3 Objective Function and Goals -- 2.3.1 Quantifiable and Achievable -- 2.3.2 RSM: Regression Using DOE -- 2.4 Factors -- 2.4.1 Types of Factors -- 2.4.2 Effects of Factors and Their Interactions -- 2.4.3 Selections-Doable and Controllable -- 2.4.4 Dimensionless Format -- 2.4.5 Design Contrasts and Effects.



Design of Experiments for Engineers and Scientists

Author : Jiju Antony

Publisher : Elsevier

Page : 221 pages

File Size : 12,66 MB

Release : 2014-02-22

Category : Technology & Engineering

ISBN : 0080994199

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Book Description

The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required for its effective implementation.Although many books have been written on this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studies its importance in the service industry. It is essential reading for engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. - Written in non-statistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE - Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem solving methodology - New edition includes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry



Product Design and Testing for Automotive Engineering: Volume II

Author : Young J. Chiang

Publisher : SAE International

Page : 398 pages

File Size : 16,7 MB

Release : 2024-09-17

Category : Computers

ISBN : 1468607693

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Book Description

Failure modes and effects analysis (FMEA); Reliability; Product Development; Design Process; Test Procedures "Explore Product Design and Testing for Automotive Engineering: Volume II, an essential guide reshaping vehicle manufacturing with unprecedented reliability. As part of SAE International’s DOE for Product Reliability Growth series, this practical resource introduces cutting-edge methodologies crucial for predicting and improving product reliability in an era of automotive electrification. The book navigates statistical tolerance design, showcasing how variability in part fabrication and assembly can enhance reliability and sustainability. Key topics include: - Statistical tolerance design's impact on manufacturing and material selection, focusing on non-normal distributions' effects on product assembly and cost. Methods like maximum likelihood estimators and Monte Carlo simulations are used for assembly strategy synthesis. - Reliability DOEs using log-location-scale distributions to estimate lifetimes of non-normally distributed components, especially in accelerated life testing. It covers transformations optimizing parts and system designs under the lognormal distribution. - Weibull distribution (DOE-W) for characterizing lifetimes affected by various failure modes, detailing parameter assessment methods and real-world applications. The book also introduces reliability design of experiments based on the exponential distribution (DOE-E). - Importance of predicting lifecycles and enhancing reliability through qualitative and stepwise accelerated life tests. Integration of physics of failure with statistical methods like Weibull statistics and lognormal approximation enhances analysis credibility. - Inferential mechanisms such as the Arrhenius and Eyring models in predicting automotive component lifecycles, refining product life prediction based on reliability DOEs. Whether you're an engineer, researcher, or automotive professional, this book equips you to navigate reliability engineering confidently. Revolutionize your approach to product design and testing with Product Design and Testing for Automotive Engineering, your definitive companion in shaping the future of automotive reliability." (ISBN 9781468607703 ISBN 9781468607697 ISBN 9781468607727 DOI 10.4271/9781468607697)



Product Design and Testing for Automotive Engineering: Volume II

Author : Young J. Chiang

Publisher : SAE International

Page : 398 pages

File Size : 13,7 MB

Release : 2024-09-17

Category : Computers

ISBN : 1468607707

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Book Description

Failure modes and effects analysis (FMEA); Reliability; Product Development; Design Process; Test Procedures "Explore Product Design and Testing for Automotive Engineering: Volume II, an essential guide reshaping vehicle manufacturing with unprecedented reliability. As part of SAE International’s DOE for Product Reliability Growth series, this practical resource introduces cutting-edge methodologies crucial for predicting and improving product reliability in an era of automotive electrification. The book navigates statistical tolerance design, showcasing how variability in part fabrication and assembly can enhance reliability and sustainability. Key topics include: - Statistical tolerance design's impact on manufacturing and material selection, focusing on non-normal distributions' effects on product assembly and cost. Methods like maximum likelihood estimators and Monte Carlo simulations are used for assembly strategy synthesis. - Reliability DOEs using log-location-scale distributions to estimate lifetimes of non-normally distributed components, especially in accelerated life testing. It covers transformations optimizing parts and system designs under the lognormal distribution. - Weibull distribution (DOE-W) for characterizing lifetimes affected by various failure modes, detailing parameter assessment methods and real-world applications. The book also introduces reliability design of experiments based on the exponential distribution (DOE-E). - Importance of predicting lifecycles and enhancing reliability through qualitative and stepwise accelerated life tests. Integration of physics of failure with statistical methods like Weibull statistics and lognormal approximation enhances analysis credibility. - Inferential mechanisms such as the Arrhenius and Eyring models in predicting automotive component lifecycles, refining product life prediction based on reliability DOEs. Whether you're an engineer, researcher, or automotive professional, this book equips you to navigate reliability engineering confidently. Revolutionize your approach to product design and testing with Product Design and Testing for Automotive Engineering, your definitive companion in shaping the future of automotive reliability." (ISBN 9781468607703 ISBN 9781468607697 ISBN 9781468607727 DOI 10.4271/9781468607697)



Statistical Design of Experiments with Engineering Applications

Author : Kamel Rekab

Publisher : CRC Press

Page : 253 pages

File Size : 38,69 MB

Release : 2005-04-08

Category : Business & Economics

ISBN : 142005631X

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Book Description

In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for



Fundamentals of Statistical Experimental Design and Analysis

Author : Robert G. Easterling

Publisher : John Wiley & Sons

Page : 268 pages

File Size : 29,55 MB

Release : 2015-09-08

Category : Mathematics

ISBN : 1118954637

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Book Description

Professionals in all areas – business; government; the physical, life, and social sciences; engineering; medicine, etc. – benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for. This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design. This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash of humor, to emphasize the issues and ideas that led to the experiment and the what-do-we-do-next? steps after the experiment. Graphical data displays are emphasized as means of discovery and communication and formulas are minimized, with a focus on interpreting the results that software produce. The role of subject-matter knowledge, and passion, is also illustrated. The examples do not require specialized knowledge, and the lessons they contain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysis introduces the basic elements of an experimental design, and the basic concepts underlying statistical analyses. Subsequent chapters address the following families of experimental designs: Completely Randomized designs, with single or multiple treatment factors, quantitative or qualitative Randomized Block designs Latin Square designs Split-Unit designs Repeated Measures designs Robust designs Optimal designs Written in an accessible, student-friendly style, this book is suitable for a general audience and particularly for those professionals seeking to improve and apply their understanding of experimental design.



Design of Experiments With Minitab

Author : Paul G. Mathews

Publisher : Quality Press

Page : 521 pages

File Size : 30,41 MB

Release : 2004-07-07

Category : Business & Economics

ISBN : 0873895878

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Book Description

Most of the classic DOE books were written before DOE software was generally available, so the technical level that they assumed was that of the engineer or scientist who had to write his or her own analysis software. In this practical introduction to DOE, guided by the capabilities of the common software packages, Paul Mathews presents the basic types and methods of designed experiments appropriate for engineers, scientists, quality engineers, and Six Sigma Black Belts and Master Black Belts. Although instructions in the use of Minitab are detailed enough to provide effective guidance to a new Minitab user, the book is still general enough to be very helpful to users of other DOE software packages. Every chapter contains many examples with detailed solutions including extensive output from Minitab.



An Introduction to Design of Experiments

Author : Larry B. Barrentine

Publisher : Quality Press

Page : 122 pages

File Size : 24,19 MB

Release : 2001-09-25

Category : Business & Economics

ISBN : 0873891341

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Book Description

This book is intended for people who have either been intimidated in their attempts to learn about Design of Experiments (DOE) or who have not appreciated the potential of that family of tools in their process improvement efforts. This introduction to DOE showcases the power and utility of this statistical tool while teaching the audience how to plan and analyze an experiment. It is also an attempt to dispel the conception that DOE is reserved only for those with advanced mathematics training. It will be demonstrated that DOE is primarily a logic tool that can be easily grasped and applied, requiring only basic math skills. The book's intent is to introduce the basics and persuade the reader of the power of this tool. The material covered will still be sufficient to support a high proportion of the experiments one may wish to perform. Contents:Introduction, Experiments with Two Factors, The Analytical Procedures, The Eight Steps for Analysis of Effects, Review of the Experimental Procedures, The Spreadsheet Approach, Experiments with Three Factors, Variation Analysis, Analysis with Unreplicated Experiments, Screening Design, Other Types of Design, Problems and Questions, Review of the Basics in Managing DOE, What Inhibits Applications of DOE?



Optimum Experimental Designs, With SAS

Author : Anthony Atkinson

Publisher : OUP Oxford

Page : 528 pages

File Size : 36,71 MB

Release : 2007-05-24

Category : Mathematics

ISBN : 0191537942

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Book Description

Experiments on patients, processes or plants all have random error, making statistical methods essential for their efficient design and analysis. This book presents the theory and methods of optimum experimental design, making them available through the use of SAS programs. Little previous statistical knowledge is assumed. The first part of the book stresses the importance of models in the analysis of data and introduces least squares fitting and simple optimum experimental designs. The second part presents a more detailed discussion of the general theory and of a wide variety of experiments. The book stresses the use of SAS to provide hands-on solutions for the construction of designs in both standard and non-standard situations. The mathematical theory of the designs is developed in parallel with their construction in SAS, so providing motivation for the development of the subject. Many chapters cover self-contained topics drawn from science, engineering and pharmaceutical investigations, such as response surface designs, blocking of experiments, designs for mixture experiments and for nonlinear and generalized linear models. Understanding is aided by the provision of "SAS tasks" after most chapters as well as by more traditional exercises and a fully supported website. The authors are leading experts in key fields and this book is ideal for statisticians and scientists in academia, research and the process and pharmaceutical industries.