This paper presents an updated approach to a form-based concept generation technique known as Form Follows Form (FFF). The technique allows a novice engineer or designer to use natural language to specify components envisioned within a product. Form follows form then develops the underlying functional structure by leveraging a repository of over 5500 artifacts. Existing computational conceptual design methods are then employed to automatically display a set of ranked concept alternatives to the user. Users can quickly create a functional model by specifying input components and answering questions regarding the intent of the product. In this paper we demonstrate the capabilities of the Form Follows Form method through a case study involving the redesign of a standard household fan. Through the case study it is shown that FFF is capable of suggesting creative alternatives for existing products. Additionally, we present data regarding the accuracy and usefulness of FFF gathered through a junior level design course at Oregon State University.

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