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Grant Award View - GA385841
AI-empowered smart acoustic sensing system for metal additive...
GA ID:
GA385841
Agency:
Australian Research Council
Approval Date:
11-Jun-2024
Publish Date:
1-Jul-2024
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jan-2025 to 31-Dec-2027
Original: 1-Jul-2024 to 30-Jun-2027
Value (AUD):
$488,691.00
(GST inclusive where applicable)
Variations:
- GA385841-V1 - Variation to Grant (17-Sep-2024 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 24/25 Linkage
Grant Program:
Early Career Industry Fellowships
Grant Activity:
AI-empowered smart acoustic sensing system for metal additive manufacturing
Purpose:
While metal additive manufacturing technology is gradually accepted for industrial and commercial applications, effective in-situ process monitoring for quality assurance remains a substantial challenge. This project aims to develop an AI-empowered smart acoustic sensing system for real-time monitoring of metal additive manufacturing processes. This project intends to establish a comprehensive acoustic model to characterise the acoustic production mechanics during manufacturing processes and to design an acoustics-informed neural network architecture that combine the acoustic models and deep learning techniques. The anticipated outcomes expect to reduce cost and material waste and lift competitiveness of Australian manufacturing industry.
GO ID:
GO Title:
Early Career Industry Fellowships for funding commencing in 2024
InternalReferenceId:
IE24 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
University of Technology Sydney
Recipient ABN:
77 257 686 961
Grant Recipient Location
Suburb:
ULTIMO
Town/City:
ULTIMO
Postcode:
2007
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2007
Country:
AUSTRALIA