Thursday, October 15th 2024
(Milan Time) 10:30 -11:30
(Beijing Time) 16:30-17:30
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Biography
Prof. Nabil Anwer is Professor at Paris-Saclay University, France, and the deputy director of the Automated Production Research Laboratory (LURPA). He is fellow of the International Academy of Production Engineering (CIRP) and serves as the vice chairman of the scientific and technical committee Design (STC Dn). He is also fellow and council member of the International Academy of Engineering and Technology (AET), committee member of ISO TC 213 (Geometrical product Specifications and Verification) and ISO/IEC JTC1 SC 41 WG 16 (Digital Twin). Prof. Nabil Anwer leaded and participated in several research projects funded by major French companies, French Inter-ministerial Fund, the French National Research Agency, and Horizon 2020 and Horizon Europe Research programs. He is associate editor of ASME Journal of Computing and Information Science in Engineering, associate editor of Digital Engineering Journal, editorial board member of Additive Manufacturing Frontiers, and member of the advisory board of Digital Twin Journal. He has published over 250 journal and conference papers. Title: From Skin Model Shapes to Digital Twins: Challenges, opportunities and future directions for geometric tolerancing
Title: From Skin Model Shapes to Digital Twins: Challenges, opportunities and future directions for geometric tolerancing
Abstract
Geometrical Product Specifications and Verification (GPS) encompass different product development activities while considering variability and uncertainty inherent in manufacturing processes and systems. The advent of Skin Model Shapes represents a ground-breaking shift to supersede nominal ideal geometry for engineering applications and a new paradigm to encapsulate and manage product’s geometrical variations throughout the design and manufacturing stages, and to leverage digital twins in geometrical variations management. Based on sound conceptualizations and discrete geometry representations, Skin Model Shapes have become a keystone for representing non-ideal surfaces, modelling geometric defects and capturing the geometric variability across product’s lifecycle. This presentation will explore the research challenges, opportunities and future directions enabled by Skin Model Shapes towards digital twins in mechanical engineering. First, we will lay the foundations of Skin Model Shapes and digital twins in the context of ISO GPS standards. Then, their applications in geometric tolerancing and shape processing will be discussed. Finally, opportunities and future directions for additive manufacturing, product digital twin, and machine learning will be explored.