| Abstract Scope |
This presentation delves into the synergistic application of artificial intelligence (AI) and bio-inspired design, focusing specifically on the refinement of fibrillar adhesives and bio-inspired composites, by exploring a series of case studies. First, we have successfully developed an optimized adhesive pillar shape, enhancing uniformity in the distribution of interfacial stress. Moreover, the efficacy of AI in guiding the optimization of adhesive pillars displaying anisotropic adhesion was demonstrated, revealing markedly improved directionality and adhesive strength. Additionally, we examined the role of mechanical partitions in the backing layer of the adhesive pillar array in boosting adhesive strength. Our investigation showed that adhesive strength of the array could be improved irrespective of the substrate state. Lastly, we proposed a data-oriented design paradigm for refining bio-inspired composites, with small dataset. This data-focused strategy yielded an optimal set of composite design solutions, balancing strength, toughness, and specific volume. |