Virtual Reality (VR) and Additive Manufacturing (AM) are transforming modern engineering education, especially in biomedical engineering fields where precision, customization, and collaboration across disciplines are essential. This paper introduces a process-focused framework that combines A-Frame, an open-source WebXR platform for immersive, browser-based simulations, with CALLME, an AI-supported educational tool. The integrated system enables students to explore and analyze every phase of the AM process, modeling, slicing, fabrication, and inspection, within a VR laboratory directly connected to CALLME’s adaptive analytics. The aim is to enhance the understanding of AM concepts through interactive digital twins, real-time feedback on parameters, and measurable learning outcomes. This approach promotes open, scalable, and data-driven education aligned with the human-centric principles of Industry 5.0. The achieved outcomes of the proposed framework include: (i) a structured, process-oriented representation of the complete additive manufacturing workflow in an immersive VR environment; (ii) real-time coupling of learner interactions with learning analytics, enabling objective observation of parameter exploration and decision-making strategies; and (iii) improved conceptual understanding of cause–effect relationships in AM processes through immediate visual feedback and adaptive learning paths.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

VR Simulation and Education for Additive Manufacturing in Medicine: A Process-Oriented Engineering Approach

  • Nikola Vitković,
  • Aleksandar Trajkovic,
  • Rajko Turudija,
  • Jovan Arandjelovic,
  • Monica Maria Elena Rauca,
  • Diana Elena Horincar

摘要

Virtual Reality (VR) and Additive Manufacturing (AM) are transforming modern engineering education, especially in biomedical engineering fields where precision, customization, and collaboration across disciplines are essential. This paper introduces a process-focused framework that combines A-Frame, an open-source WebXR platform for immersive, browser-based simulations, with CALLME, an AI-supported educational tool. The integrated system enables students to explore and analyze every phase of the AM process, modeling, slicing, fabrication, and inspection, within a VR laboratory directly connected to CALLME’s adaptive analytics. The aim is to enhance the understanding of AM concepts through interactive digital twins, real-time feedback on parameters, and measurable learning outcomes. This approach promotes open, scalable, and data-driven education aligned with the human-centric principles of Industry 5.0. The achieved outcomes of the proposed framework include: (i) a structured, process-oriented representation of the complete additive manufacturing workflow in an immersive VR environment; (ii) real-time coupling of learner interactions with learning analytics, enabling objective observation of parameter exploration and decision-making strategies; and (iii) improved conceptual understanding of cause–effect relationships in AM processes through immediate visual feedback and adaptive learning paths.