To solve their design problems, engineers draw on a vast body of knowledge about how things work. Examining previously unstudied historical cases, this author shows how engineering knowledge is obtained and presents a model to help explain the growth of such knowledge.
Rezensionen / Stimmen
'Must' reading for all thoughtful engineers and historians of technology, and even for those physical scientists who wonder why engineers frequently act and think differently than do basic scientists. American Scientist The biggest contribution of Vincenti's splendidly crafted book may well be that it offers us a believably human image of the engineer. Technology Review The biggest contribution of Vincenti's splendidly crafted book may well be that it offers us a believably human image of the engineer. Techology Review
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Illustrationen
36 s/w Abbildungen
36, 36 black & white illustrations
Maße
Höhe: 229 mm
Breite: 152 mm
Dicke: 20 mm
Gewicht
ISBN-13
978-0-8018-4588-8 (9780801845888)
DOI
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Walter G. Vincenti is professor emeritus of aeronautical engineering at Stanford university, past chairman of Stanford's Program in Values, Technology, Science, and Society, and a member of the National Academy of Engineering.
Preface and Acknowledgments
1. Introduction: Engineering As Knowledge
2. Design and the Growth of Knowledge: The David Wing and the Problem of Airfoil Design, 1980-1945
3. Establishment of Design Requirements: Flying-Quality Specifications for American Aircraft, 1918-1943
4. A Theoretical Tool for Design: Control-Volume Analysis, 1912-1953
5. Data for Design: The Aur Propeller Test of W.F. Durand and E.P. Lesley, 1916-1926
6. Design and Production: The Innovation of Flush Riveting in American Airplanes, 1930-1950
7. The Anatomy of Engineering Design Knowledge
8. A Variation-Selection Model for the Growth of Engineering Knowledge
Notes
Index
