Analytic Methods for Design Practice

This is the first book to look at both stages of the design process - conceptual design and detailed design - and detail design methodologies for every step of the design process. Case studies show how practical design problems can be solved with analytic design methods.

In the competitive world of modern engineering, rigorous and definite design methodologies are needed. However, many parts of engineering design are performed in either an ad-hoc manner or based on the intuition of the engineer. This is the first book to look at both stages of the design process conceptual design and detailed design and detail design methodologies for every step of the design process. The following analytic design methodologies are introduced and their usefulness is explored with many mathematical and practical examples: Axiomatic design; Optimization; Design of experiments; Robust design; Structural optimization; Dynamic response optimization; and Multidisciplinary optimization. Case studies show how practical design problems can be solved with analytic design methods. Students will find this book an excellent introduction to the subject. The book's practical focus will interest practising engineers as a practical handbook of design.

No other advanced textbook introduces modern design theories and applies them to a wide range of design examples Can be used in advanced design courses as well as being a practical design handbook for practising engineers Includes supplementary material: sn.pub/extras

Autorentext

Gyung-Jin Park is a Professor of Mechanical Engineering at Hanyang University, Seoul, Korea. His areas of research include structural optimal design, machine design, and CAD/CAM. He received his BS in Mechanical Engineering from Hanyang University in 1980, his MS in Mechanical Engineering from KAIST in 1982 and his PhD in Mechanical Engineering from the University of Iowa in 1986.

Inhalt
Axiomatic Design.- Design Optimization.- Structural Optimization.- Dynamic Response Optimization.- Design of Experiments.- Robust Design.- Case Studies with Analytic Design Methods.- Application of Design Methods to Automobile Safety Problems.- Multidisciplinary Design Optimization.