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Designing Capable and Reliable Products

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ISBN-10: 0750650761

ISBN-13: 9780750650762

Edition: 2001

Authors: J. D. Booker, M. Raines, K. G. Swift

List price: $104.00
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Description:

Practical methods for analysing mechanical designs with respect to their capability and reliability are combined in this quantitative and highly practical volume.
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Book details

List price: $104.00
Copyright year: 2001
Publisher: Elsevier Science & Technology
Publication date: 3/16/2001
Binding: Hardcover
Pages: 416
Size: 6.50" wide x 9.21" long x 1.00" tall
Weight: 1.892
Language: English

Dr Julian Booker is Reader in Design and Manufacture at University of Bristol, UK, and a recognized expert in product design and process engineering. Working closely with industry, his research interests include the development and industrial implementation of design methods for manufacture, assembly, quality and reliability improvement, and the structural integrity of frictional machine elements using simulation and experimental methods.

Professor Ken Swift is the Lucas Professor of Manufacturing Systems Engineering at University of Hull, UK. Following decades of research and collaboration with leading manufacturing groups worldwide, his current research interests include capability analysis and probabilistic design, flexible assembly and inspection systems. He has received numerous awards and prizes in the area of design and manufacturing, including the Donald Julius Groen Prize, awarded for a paper on manufacturing process selection in the IMechE Journal of Engineering Manufacture.

Preface
Notation
Abbreviations
Introduction to quality and reliability engineering
Statement of the problem
The costs of quality
Cases studies in failure costs
Quality-cost estimating methods
How and why products fail
Failure mechanisms
The link between variability and failure
Risk as a basis for design
The role of FMEA in designing capable and reliable products
Designing for quality
Designing for reliability
Summary
Designing capable components and assemblies
Manufacturing capability
Variability factors in manufacturing
Cost-tolerance relationships
Process capability and tolerances
Component Manufacturing Variability Risks Analysis
Process capability maps
Surface roughness chart
Validation of the Component Manufacturing Variability Risks Analysis
Assembly capability
Design for assembly techniques
Assembly sequence diagrams
Component Assembly Variability Risks Analysis
The effects of non-conformance
Design acceptability
Map of quality costs
Objectives, application and guidance for an analysis
Objectives
Application modes
Analysis procedure
Example - Component Manufacturing Variability Risks Analysis
Example - Component Assembly Variability Risks Analysis
Completing the Conformability Matrix
Case studies
Electronic power assisted steering hub design
Solenoid security cover
Telescopic lever assembly
Solenoid end assembly
Summary
Designing capable assembly stacks
Introduction
Background
Tolerance stack models
A methodology for assembly stack analysis
Application of the process capability estimates from CA
Model for centred distributions
Model for shifted distributions
Application issues
Case study - revisiting the solenoid design
Paper-based analysis
CAPRAtol software analysis
Summary
Designing reliable products
Deterministic versus probabilistic design
Statistical methods for probabilistic design
Modelling data using statistical distributions
Fitting distributions to data
The algebra of random variables
Variables in probabilistic design
Material strength
Dimensional variability
Service loads
Stress-Strength Interference (SSI) analysis
Derivation of reliability equations
Reliability determination with a single load application
Reliability determination with multiple load application
Reliability determination when the stress is a maximum value and strength is variable
Example - calculation of reliability using different loading cases
Extensions to SSI theory
Elements of stress analysis and failure theory
Simple stress systems
Complex stress systems
Fracture mechanics
Setting reliability targets
Reliability target map
Example - assessing the acceptability of a reliability estimate
System reliability
Application issues
Case studies
Solenoid torque setting
Foot pedal optimum design
Torque transmitted by a shrink fit
Weak link design
Design of a structural member
Bimetallic strip deflection
Design of a con-rod and pin
Summary
Effective product development
Introduction
Product development models
Overview of product development models
Industrial models
Tools and techniques in product development
Overview of tools and techniques
Utilization of tools and techniques
The integration of tools and techniques in the product development process
Supporting issues in effective product development
Team approach to engineering design
Quality philosophy of the company
Product design specifications
External supplier quality
Design scheme generation
Design reviews
Summary
Appendices
Introductory statistics
Process capability studies
Overview of the key tools and techniques
Failure Mode and Effects Analysis (FMEA)
Quality Function Deployment (QFD)
Design for Assembly/Design for Manufacture (DFA/DFM)
Design of Experiments (DOE)
Process capability maps
Sample case studies used in validation
Additional assembly process risk charts
Miscellaneous operations
Later Mechanical deformation
Adhesive bonding
Brazing and soldering
Resistance welding
Fusion welding
Blank conformability analysis tables
Variability risks (q[subscript m] and q[subscript a]) results table
Conformability matrix
Assembly problems with two tolerances
Properties of continuous distributions
Probability Density Functions (PDF)
Equivalent mean ([mu]) and standard deviation ([sigma])
Cumulative Distribution Functions (CDF)
Fitting distributions to data using linear regression
Cumulative ranking equations
Linear rectification equations and plotting positions
Distribution parameters from linear regression constants A0 and A1
Solving the variance equation
Partial derivative method
Finite difference method
Monte Carlo simulation
Sensitivity analysis
Simpson's Rule for numerical integration
References
Bibliography