Prediction Technologies for Improving Engineering Product Efficiency

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This book is aimed at readers who need to learn the latest solutions for interconnected simulation, testing, and prediction technologies that improve engineering product efficiency, including reliability, safety, quality, durability, maintainability, life-cycle costing and profit. It provides a detailed analysis of technologies now being used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It includes clear examples, charts, and illustrations.

This book provides analyses of the simulation, testing, and prediction approaches and methodologies with descriptive, negative trends in their development. The author discusses why many current methods of simulation, testing, and prediction are not successful and describes novel techniques and tools developed for eliminating these problems.  This book is a tool for engineers, managers, researches in industry, teachers, and students.       

Lev Klyatis, Hab. Dr.-Ing., ScD., PhD, Senior Advisor SoHaR, Inc., has been a professor at Moscow State Agricultural Engineering University, research leader and chairman of State Enterprise TESTMASH, and served on the US Technical Advisory Group for the International Electrotechnical Commission (IEC), the ISO/IEC Join Study Group in Safety Aspects of Risk Assessment, the United Nations European Economical Commission, and US-USSR Trade and Economic Council. He is presently a member of World Quality Council, the Elmer A. Sperry Board of Award, SAE International G-41 Reliability Committee, the Integrated Design and Manufacturing Committee and session chairman of SAE International World Congresses in Detroit since 2012. His vast experience and innovation enable him to create a new direction for the successful prediction of product efficiency during any given time, including accurate simulation of real-world conditions, accelerated reliability and durability testing technology, and reducing recalls. His approach has been verified in various industries, primarily automotive, farm machinery, aerospace, and aircraft industries. He has shared his new direction working as the seminar instructor and consultant to Ford, DaimlerChrysler, Nissan, Toyota, Jatko Ltd., Thermo King, Black an Dekker, NASA Research Centers, Karl Schenck, and many others.  He holds over 30 patents worldwide and is the author of over 300 publications, including 15 books. 


Author(s): Lev M. Klyatis
Publisher: Springer
Year: 2023

Language: English
Pages: 280
City: Cham

Preface
Introduction
Why Does the Book Has This Title?
References
Contents
About the Author
Chapter 1: How Was Began Development of New Direction “Successful Prediction of Engineering Product Efficiency”
References
Chapter 2: Analysis of Current Situation with Prediction of New Product Reliability and Efficiency
2.1 Current Methodological Aspects of New Product Reliability and Efficiency Prediction
2.1.1 General Model
2.1.2 Classical Test Theory
2.1.3 Estimation
2.1.4 Reliability Prediction for Mean Time Between Failures
2.1.5 Reliability Software Overview
2.1.5.1 MIL-HDBK-217 Predictive Method
2.1.5.2 Bellcore/Telcordia Predictive Method
2.1.5.3 Discussion of Empirical Methods
2.1.6 Physics of Failure Methods
2.1.6.1 Arrhenius’s Law
2.1.6.2 Black Model for Electromigration
2.1.6.3 Discussion of Physics of Failure Methods
2.1.7 Life Testing Method
2.2 Why the Level of New Product Current Prediction Is Low
2.3 Example of Low-Level Efficiency Prediction
References
Chapter 3: Technology of Successful Prediction of New Product Efficiency (Quality, Reliability, Durability, Maintainability, Safety, Life Cycle Cost, Profit, and Other Components)
3.1 The Basis of Successful Prediction of Product Efficiency
3.2 The Strategy of Successful Efficiency Prediction
3.3 Methodological Aspects (The First Key Factor) of Successful Efficiency Prediction
3.3.1 Criteria of Successful Prediction of Efficiency by Results of Accelerated Reliability/Durability Testing
3.3.2 Development of Techniques for Product Efficiency Prediction on the Basis of Accelerated Reliability/Durability Testing Results
3.3.3 Basic Concepts of Efficiency Prediction
3.3.4 Other Methodological Aspects of Successful Prediction
3.4 Improving Engineering Culture for Efficiency Successful Prediction
3.5 Organizational Culture as a Component of Improving Engineering Culture
References
Chapter 4: Accelerated Reliability and Durability Testing Technology as Second Key Factor for Successful Prediction of Product Efficiency
4.1 Introduction
4.2 Current Status of Accelerated Testing
4.2.1 Basic General Directions of Accelerated Testing Development
4.2.1.1 The First General Direction (Field Accelerated Testing)
4.2.1.2 The Second General Direction (Accelerated Testing Based on Computer/Software Simulation)
4.2.1.3 The Third General Direction (Laboratory, or Proving Ground, or Crash Testing with Physical Simulation of Field Conditions)
4.2.1.4 The Fourth General Direction of Accelerated Testing
4.2.1.5 The Fifth General Direction (Accelerated Reliability/Durability Testing)
4.2.2 Other Testing Approaches
4.3 The Basic Methodology of Accelerated Reliability and Durability Testing
4.4 Basic Aspects of Methodology for Selecting Representative Input Regions for Accurate Simulation of Real-World Conditions
4.4.1 The Problem
4.4.2 Basic Steps of Methodology for Selecting a Representative Region
4.5 The Role of Real-World Conditions’ Accurate Simulation in the Development of Accelerated Reliability and Durability Testing and Successful Efficiency Prediction
4.6 Establishing the Concepts and Statistical Criteria for Providing Physical Simulation of Input Influences on a Product for Accelerated Reliability/Durability Testing
4.7 Equipment for Advanced Accelerated Testing
4.7.1 Introduction
4.7.2 General Situation
4.7.3 Environmental Combined Testing Equipment
4.7.4 Combined Testing for Vehicle Components
4.7.5 Equipment for Accelerated Reliability and Durability Testing
References
Chapter 5: Negative Trends in the Development of Simulation, Testing, and Prediction in Engineering
5.1 Introduction
5.2 Some of the Basic Negative Trends in the Technology Development of Simulation and Accelerated Testing
5.3 Trends in Using Virtual (Computer) Simulation and Testing as a Replacement for Real-World Conditions
5.4 Consideration of the Newly Trends in the Development of Real-World Simulation, Accelerated Testing, and Efficiency Prediction
References
Chapter 6: Implementation Successful Prediction of Product Efficiency, Accelerated: Reliability and Durability Testing, and Accurate Simulation
6.1 Introduction
6.2 Common Principles
6.3 Direct Implementation: Economic Results
6.4 Implementation Through Standardization
6.4.1 Implementation of Reliability Testing and Successful Reliability Prediction Through the Application of Standard EP-456 “Test and Reliability Guidelines” for Farm Machinery
6.4.2 How the Work in SAE G-11 Division Assisted to Implement Accelerated Reliability Testing as a Component of Successful Efficiency Prediction
6.4.3 Implementation of Reliability Testing During the Work for the International Electrotechnical Commission (IEC), US Representative for International Organizations in Standardization (ISO), IEC/ISO Joint Study Group in Safety Aspects of Risk As
6.5 Implementation Through Author’s and His Colleagues Seminars, Publications, Lectures, and Presentations over the World
6.6 Implementation Through Published Citations
6.7 Implementation Through Published Reviews
References
Index