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This paper explores a novel paradigm for advancing 3D printing technologies by integrating Artificial Intelligence (AI) with inventive design methodologies such as TRIZ and biomimicry. While additive manufacturing has matured across technological readiness levels (TRLs), key challenges remain in deposition quality, post-processing, and energy efficiency. Rather than presenting finalized solutions, this work proposes a structured framework highlighting concepts such as the Smart Environmental Control Enclosure (SECE), Composite Material Integration System (CMIS), and Adaptive Printing Direction System (APDS) to systematically identify and prioritize innovation around critical Main Parameters of Value (MPVs). This interdisciplinary methodology reveals untapped design opportunities for next-generation 3D printing systems

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Revitalizing Additive Manufacturing through AI-Driven Design and Inventive Strategies for Next-Generation 3D Printing

  • 会议论文

  • 发表日期：

    2026年

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  • Stelian Brad,
  • Diana Ticudean,
  • Bogdan Balog,
  • Vasile-Dragoş Bartoş,
  • Anca Stan

摘要

This paper explores a novel paradigm for advancing 3D printing technologies by integrating Artificial Intelligence (AI) with inventive design methodologies such as TRIZ and biomimicry. While additive manufacturing has matured across technological readiness levels (TRLs), key challenges remain in deposition quality, post-processing, and energy efficiency. Rather than presenting finalized solutions, this work proposes a structured framework highlighting concepts such as the Smart Environmental Control Enclosure (SECE), Composite Material Integration System (CMIS), and Adaptive Printing Direction System (APDS) to systematically identify and prioritize innovation around critical Main Parameters of Value (MPVs). This interdisciplinary methodology reveals untapped design opportunities for next-generation 3D printing systems