Abstract
This paper discusses the investigation of a Concept-Knowledge (C-K) theory based approach for generating innovative design solutions in bioinspired design projects. Undergraduate students enrolled in sophomore engineering design courses at both the University of Georgia (UGA) and James Madison University (JMU) completed bioinspired design projects using C-K theory based templates. Hypothesis testing, principal component analysis (PCA) and support vector machine (SVM) techniques were applied on the students’ performance scores of a C-K theory based bioinspired design process to identify the biomimicry attributes which supported the evolution of innovative design solutions. Results from the analysis suggest that the C-K theory based approach is useful for generating innovative design solutions.
Highlights
Design engineering research communities are paying increased attention to developing new strategies that result in more creative and innovative design solutions [1]
Statistical analysis methods such as test of hypothesis, principal component analysis (PCA) and support vector machine (SVM) classifier were among the tools used in our research study to analyze student performance and to elaborate the key features of the bioinspired design process that led to innovative design solutions
This showed that the null hypothesis—the performance score data of attributes pairs from James Madison University (JMU) and University of Georgia (UGA) datasets were from the same population
Summary
Design engineering research communities are paying increased attention to developing new strategies that result in more creative and innovative design solutions [1]. Some of the research investigations revealed that developing a relationship framework model that connects the design problem, scientific knowledge and solution space by analysis, synthesis and evaluation activities would help to refine and structure the design process to obtain creative and innovative design solutions [2,3,4,5]. Investigations focusing on systematic approaches in bioinspired design are increasing in number to address the issues related to the development of bioinspired design engineering models. These models focus on obtaining innovative design solutions for engineering design problems by mapping the design process through the collection, integration and analysis of biological knowledge and information using various tools and techniques [10,11,12]
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