Parametric Constructionist Kits: Physical Design and Delivery System for Rapid Prototyping Devices

Author:

Sass Lawrence1

Affiliation:

1. MIT, Cambridge MA 02139, USA

Abstract

In this paper we illustrate a design methodology based on constructionist learning principles with CAD modeling and rapid prototyping. The belief is that a constructionist approach to design development extends design possibilities beyond the visual aspects of rendering and animation to building construction by way of component-based parametric modeling. This is demonstrated by way of construction kits as a proposed system of physical design production, individually and in groups. Results of the system are data sets for model manufacturing, hand assembly and design feedback. The impact of this work is to teach physical modeling as a system of production that will allow a designer hands-on learning of building structure, material mechanics and building component behavior. Also design success is newly defined as a relationship between the visual and physical evaluation; not just the visual. The paper ends with examples of complex design models generated from elements in the construction kit and a physical design grammar used to guide element assembly. Although the examples in this paper satisfy model making for building structures we believe this system can be useful for anyone who needs to construct physical artifacts beyond traditional scales found in rapid prototyping.

Publisher

SAGE Publications

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Building and Construction

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PARA-Typing Informing Form and the Making of Difference;International Journal of Architectural Computing;2012-12

2. Augmenting Architecture through Desktop Manufacturing;International Journal of Architectural Computing;2012-06

3. A Design Studio Pedagogy for Experiments with Unusual Material, Collaboration and Web Communication;International Journal of Architectural Computing;2010-12

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