Trimming, Miniaturization and Ideality via Convolution Technique of TRIZ: A Guide to Lean and High-level Inventive Design by Saurabh KwatraTrimming, Miniaturization and Ideality via Convolution Technique of TRIZ: A Guide to Lean and High-level Inventive Design by Saurabh Kwatra

Trimming, Miniaturization and Ideality via Convolution Technique of TRIZ: A Guide to Lean and High…

bySaurabh Kwatra, Yuri Salamatov

Paperback | August 28, 2012

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The book is a valuable research tool-kit for innovators, amateur & professionals alike. Additionally, College & University faculties on Engineering, who organize yearly workshops internationally will find hundreds of novel themes to choose from. Some teachers might just secretly buy this book to introduce out-of-box brain-teasers in classroom to add fizz to normal (at times boring) lecturing. The book can be used as main/add-on textbook towards following courses: (1) Master's degree programs on design innovation worldwide and (2) Senior undergraduate courses in industrial, engineering & product design.
Dr Saurabh Kwatra, is currently working as a Project Acquisition Manager, Institute of Innovative Design (IID), c/o Siberian Federal University, Krasnoyarsk, Russia and also a Visiting Faculty, Industrial Design Centre, Indian Institute of Technology (IIT) Bombay, Mumbai. He is an educator and practitioner of Russian 'Theory of Inventi...
Title:Trimming, Miniaturization and Ideality via Convolution Technique of TRIZ: A Guide to Lean and High…Format:PaperbackDimensions:120 pages, 9.25 × 6.1 × 0.04 inPublished:August 28, 2012Publisher:Springer IndiaLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:813220736X

ISBN - 13:9788132207368

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Table of Contents

Foreword by Professor K Munshi.- Preface.- Laws of Technical Systems' Evolution.- Origins of Convolution.- Idealization and Convolution: two sides of same coin?.- Four types of Convolution; Miniaturization embedded in 2nd type.- General scheme of TS evolution in history of technology.- Convolution and Trimming via Convolution.