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Project cooperationUpdated on 2 July 2025

ROBOTIC ADDITIVE MANUFACTURING OF NATURE-INSPIRED, TOPOLOGY OPTIMIZED, AND MULTIFUNCTIONAL SMART MATERIALS-BASED DESIGNS

Dante Jorge Dorantes Gonzalez

Professor at MEF University

Istanbul, İstanbul, Türkiye

About

This multidisciplinary research project pioneers a novel design and manufacturing framework that merges nature-inspired principles, multifunctional smart materials, and topology optimization with multiaxis robotic additive manufacturing technologies.

The project establishes a comprehensive methodology that draws from nature-inspired structures to create lightweight, structurally efficient, smart, environmentally-friendly functional materials with sensors and integrated electronics. It integrates topology and field optimization techniques to reduce material use while maintaining mechanical performance in applications ranging from aerospace parts to smart consumer and artistic products produced by a multi-axis robotic additive manufacturing system.

The expertise aligns with Technology Readiness Levels (TRL) 2–4. The project goal is for the 3-year project to produce a prototype that reaches TRL 6–7 validation to enable commercialization.

Stage

  • Already defined

Topic

  • Enabling technologies | (Advanced/smart) Sensors, e.g., enabling materials, components and product flows measurement
  • Enabling technologies | (Advanced) Materials and additive manufacturing

Type

  • Consortium seeks Partners
  • Expertise offered

Organisation

MEF University

University

Istanbul, Türkiye

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