Accelerating Materials and Process Development Through Digitization
- 11.10-11.30: AI Leading a New Era in Composite Materials: Innovative Strategies in Development, Lean Manufacturing, and Technological Synergy by Yiyin LIU, AVIC Composites Materials Corporation Limited, SAMPE China
This presentation delves into the pivotal role of Artificial Intelligence in revolutionizing the composite materials industry. We will share how AI accelerates the development of innovative materials, enhances defect detection, and optimizes production processes, paving the way for an intelligent and highly efficient future in composite materials.
- 11.30-11.50: AI-Driven Digitization in Composites: Accelerating Materials and Process Innovation by Dr. Srikanth PILLA, Professor and Director of the Center for Composite Materials, University Delaware (UD-CCM), SAMPE North America
Discover how AI-driven digitization is transforming the field of composites by leveraging experiments, digital lifecycle models, and physics-informed neural networks. This talk explores groundbreaking approaches to accelerate composite material and manufacturing process discovery, enabling rapid development and optimization. Gain insights into how these advancements are driving efficiency, sustainability, and performance in composite engineering.
- 11.50-12.10: Machine Learning Driven Morphology Analysis of CFRP: Advancing Composite Sustainability by Dr. Yi WAN, Department of Systems Innovation, Graduate School of Engineering, University of Tokyo, SAMPE Japan
Complexity and variability increase as CFRP sustainability requirements incorporate discontinuous fibers and thermoplastic matrices. Machine learning provides a promising approach for analyzing CFRP morphology and mechanical properties, overcoming challenges posed by complex internal geometry. This presentation highlights current outcomes and the potential of machine learning aided morphology analysis in advancing CFRP sustainability.
- 12.10-12.30: Data-driven Development of Advanced Resins and Composites by Pr. Holger RUCKDAESCHL, Department of Polymer Engineering, Universität Bayreuth, SAMPE Europe
The expanding composite materials market increasingly demands enhanced features such as improved performance, circularity, and the incorporation of bio-based components. Data-driven approaches are accelerating the research and development of new resins and composites, enabling the identification of innovative solutions. Notable examples demonstrate the successful application of data analysis and machine learning techniques in this field.
