Real-time Quality Control System for Metal 3D Printing
Sector: Metal • Location: Jacksonville, Florida, United States
Source: Bioengineer.org
The University of North Florida (UNF) secured a National Science Foundation (NSF) grant to develop an intelligent, real-time quality control system embedded within metal 3D printers. The system aims to monitor each printing layer during the laser powder bed fusion (LPBF) process, detect anomalies, and enable immediate automated corrections to mitigate defects, improving manufacturing reliability a
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | awarded |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The University of North Florida (UNF) secured a National Science Foundation (NSF) grant to develop an intelligent, real-time quality control system embedded within metal 3D printers. The system aims to monitor each printing layer during the laser powder bed fusion (LPBF) process, detect anomalies, and enable immediate automated corrections to mitigate defects, improving manufacturing reliability and sustainability. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |