3D Printing Design: Additive manufacturing and the materials revolution

3D Printing Design: Additive manufacturing and the materials revolution

by Francis Bitonti
3D Printing Design: Additive manufacturing and the materials revolution

3D Printing Design: Additive manufacturing and the materials revolution

by Francis Bitonti

Paperback

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Overview

To work with the materials of tomorrow, design students across visual arts disciplines need to understand the cutting edge of today. Whether you're modelling in interiors, designing in fashion or constructing for interiors, in your work or as part of a final project, 3D Printing design is an encouraging guide to additive manufacturing within design disciplines. Francis Bitonti gives an insider's view from his design studio on how 3D printing is already shaking up the industry, and where it's likely to go next. Complete with interviews from designers, business owners and 3D-print experts throughout, Bitonti considers whether 3D body scans mean couture for all, how rapid prototyping can change your design method and if 3D printing materials can enhance medical design, amongst other areas of this emerging method of manufacture. This is inspirational reading for the designers of tomorrow.

Product Details

ISBN-13: 9781474220965
Publisher: Bloomsbury Academic
Publication date: 07/11/2019
Series: Required Reading Range
Pages: 168
Product dimensions: 5.00(w) x 7.70(h) x 0.40(d)

About the Author

Francis Bitonti is a designer who specialises in cutting-edge digital design and manufacturing technologies. He is a co-founder of Lexset and founded and continues to run the Francis Bitonti Studio. His studio projects have been featured in Wired, The New York Times, Fast Company, and The Wall Street Jourbanal. His pieces have been collected and featured in the Smithsonian Cooper-Hewitt National design Museum, the Museum of Arts and Design, the Boston Museum of Fine Art, the High Museum, and the Mint Museum.

Table of Contents

1. Materials Revolution
2. Disruptive manufacturing and distribution models
3. Introduction to Computational Geometry
4. Algorithms and AI for Generative Design
5. Case Studies

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