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195332 https://hdl.handle.net/2286/R.2.N.195332 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2024 2026-08-01T16:05:11 180 pages Doctoral Dissertation Academic theses Text eng Mistry, Yash Bhate, Dhruv Bhate, Dhruv Chawla, Nikhilesh Li, Xiangjia Nian, Qiong Phelan, Patrick Arizona State University Partial requirement for: Ph.D., Arizona State University, 2024 Field of study: Mechanical Engineering Traditional approaches to bio-inspired design typically begin with a problem statement, followed by a search for a biological analog in nature, and then creating a design inspired by the underlying design principle embodied in the analog. Although this method results in some breakthrough innovations, it has two fundamental limitations. Firstly, identifying a design principle is often based on a biological understanding of the specific structure-function relationship of interest, with limited study of its generalization beyond the context in which it evolved. This leaves several potential design principles off the table and may result in sub-optimal design. The second limitation of traditional bio-inspired design is the ad-hoc way it is implemented in the engineering design process, making scalability and reproducibility by others in the engineering community challenging. Despite the enormous potential of leveraging the rich information embedded in biological form and the rising interest in bio-inspired design, there is no generalized, accessible computational design tool that enables it. This thesis addresses this limitation systematically; the first limitation is addressed with a new methodology proposed called "bio-morphism to biomimetic design." This methodology encourages the designer to gather in-depth knowledge about the organism's biology and its environment; this allows the designer to identify the design feature and test design principles contextually. As the name suggests, this is first done in a closer contextual reference to the organism (bio-morphism). Then, post-validation is extended to more generalizable design principles (biomimetic design). The second limitation is addressed by developing a computational tool for the biomimetic design called "BioMotif." It integrates mathematical, biological, and physical models, which are repeatable and efficient. This tool aims to make the transition from analogies in nature to CAD design easy, smooth, and repeatable. The approach is demonstrated for two types of discrete structural elements: network materials and branches. Euplectella Aspergillum, also known as the Venus Flower Basket (VFB), was the organism used in the study of network materials, and a variety of branching structures like river deltas, tree architectures, and vascular branching structures were used as analog organisms for branching. Mechanical Engineering Additive Manufacturing Bioinspired design 164324 Biomimetics Computational Design Abstraction, Implementation, and Validation of Bio-inspired Design Principles Using Computational Design and Additive Manufacturing