• DocumentCode
    595912
  • Title

    Physical modeling in design projects: Development and testing of a new design method

  • Author

    Viswanathan, V. ; Linsey, Julie

  • Author_Institution
    Mech. Eng. Dept., Texas A&M Univ., College Station, TX, USA
  • fYear
    2012
  • fDate
    3-6 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Physical models are widely used as idea generation tools by industrial designers, engineers, engineering educators and government agencies. Many schools promote the use of physical models in their engineering curricula. Despite the apparent popularity of physical models, little is known about their cognitive impacts and when they should be implemented in the design process. A few studies have explored physical models and their use as idea generation tools; however the guidelines from them are conflicting. Based upon these conflicting guidelines, a series of controlled and qualitative studies are conducted by the authors to understand the cognitive impacts of physical models in engineering idea generation. In addition to the insights from these studies, data are collected from a project-based graduate design course. The reports from design teams prototyping their ideas as a part of a class project are studied. These reports provide insights about the conceptual errors that student designers make as they build and test physical models of their designs. To reduce the two most critical errors, a design method (Model Error Reduction Method) is formulated. This design method forces the designers to think about two potential conceptual errors in their designs and provides guidance to rectify the issues. The two conceptual errors that the method addresses are: failure to account for critical loads and failure to design connections. This paper presents a controlled experiment evaluating the effectiveness of the method. The preliminary results show that novice designers find the design method extremely useful; moreover, the method seems to help eliminate, to a large extent, said conceptual errors. These findings suggest that the method might augment existing engineering design curricula.
  • Keywords
    cognition; engineering education; government; industrial engineering; cognitive impacts; conceptual errors; conflicting guidelines; controlled study; design projects; engineering design curricula; engineering educators; engineering idea generation; government agencies; idea generation tools; industrial designers; industrial engineers; model error reduction method; novice designers; physical modeling; project-based graduate design course; qualitative study; schools; student designers; Analytical models; Bicycles; Buildings; Design methodology; Force; Guidelines; Measurement; Design Cognition; Design Method; Physical Models; Prototyping Guidelines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Education Conference (FIE), 2012
  • Conference_Location
    Seattle, WA
  • ISSN
    0190-5848
  • Print_ISBN
    978-1-4673-1353-7
  • Electronic_ISBN
    0190-5848
  • Type

    conf

  • DOI
    10.1109/FIE.2012.6462353
  • Filename
    6462353