Designing Capable and Reliable Products offers an introduction to the importance of capability, quality and reliability in
product development. It introduces the concept of capable design, focusing on producing designs that meet quality standards and also looks at linking component manufacture and its process capability with failure rates. It provides an introduction to reliable design, incorporating the probabilistic concept of reliability into the product design.
This quantitative and highly practical volume provides practical methods for analysing mechanical designs with respect to their capability and reliability. Practising engineers who have to hit definite standards for design will find this book invaluable, as it outlines methods which use physically significant data to quanitify engineering risks at the design stage. By obtaining more realistic measures of design performance, failure costs can be reduced. Taking product design as its central theme, this book is a very useful tool for postgraduate students as well as professional engineers.
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Revisiting the Solenoid Design; Summary. Designing Reliable Products: Deterministic Versus Probabalistic Design; Statistical Methods for Probabalistic Design; Variables in Probabalistic Design; Stress-Strength Interference (SSI) Analysis; Elements of Stress Analysis and Failure Theory; Setting Reliability Targets; Application Issues; Case Studies; Summary. Effective Product Development: Introduction; Product Development Models; Tools & Techniques in Product Development; Supporting Issues in Effective Product Development; Summary. References; Bibliography; Appendices.
Swift, K. G.
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.