Adaptive product design, fabrication, and optimisation from variable fibre feedstocks
Project Description:
This project aims to develop a framework and necessary digital tools for adaptively fabricating pre-fab components from under-graded or defective timber sources.
Expected outcomes of this project include an enhanced capacity to identify and communicate:
- Review and identify sources of fibre (timber waste/byproducts, recycled timber, under-utilised timber resources).
- Vision-based defect detection and material property evaluation (such as MOE/MOR)
- Connect vision-based detection/evaluation with automatic design decision-making, allowing real-time material processing that reduces storage and informs human handling.
- Adaptive product design that utilize variable processed feedstock.
Evaluation of recovery material value and sustainability metrics for possible applications and stakeholder communication.
Please see Project Video for further information:
Node Introduction Video:
Objectives/Deliverables
- Review and identify sources of fibre (timber waste/byproducts, recycled timber, under-utilised timber resources).
- Design and development of flexible and adaptive robotic manufacturing processes from variable timber fibre feedstocks (automated or human-in-the-loop).
- Vision based defect detection and automatic processing with live fibre feedstocks, allowing realtime material processing that reduce storage and handling.
- Adaptive product design that utilize variable processed feedstock.
- Evaluation of recovery material value and sustainability metrics for possible applications, stakeholder communication.
Project Leader/s
Dan Luo
Node Leader - Value-Chain Innovation; Project Leader
The University of Queensland
Project Staff
HDR Candidate
Higher Degrees by Research Scholarship Opportunity
Project Investigators
Tim Schork
Project Leader; Chief Investigator
Queensland University of Technology
Kim Baber
Project Leader; Chief Investigator
The University of Queensland
Ding Wen ‘Nic’ Bao
Project Leader; Chief Investigator
RMIT University
Joe Gattas
Theme Leader - Innovative Solutions; Node Leader - Manufacturing Innovation & Value-Chain Innovation
The University of Queensland
Candy Wang
Partner Investigator
Meta-Mate Pty Ltd