Project

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


Lead Project Partner Organisation


Project Partners