Set based parametric design with dimensionless trade-off curves

Abstract

Over the past decade, Set-Based design has been getting the attention from researchers looking for strategies to shorten product development cycles while improving performance and saving resources. Most of the publications related to the topic have focused more on practical applications, opening the opportunity to explore theoretical development. While many authors have proposed several methods and tools to enable Set-Based Design, the techniques are often applied individually. Therefore, the need to develop a roadmap integrating many of these methods and tools has been identified. This research work proposes paper integrates the GFIS (Given-Find-In Order To-Subjected To) Method for Problem Statement, Nondimensionalization with Causal Mapping, Dimensionless Trade-off Curves and Labeled Fuzzy Sets. These techniques will contribute to facilitate the generation of multiple solutions in a systematic manner by identifying key parameters, variables, requirements and significant interactions, mapping the design space and finding feasible and preferred designs.