Artificial Intelligence for Material Allowables in Additive Manufacturing
Sector: Steel • Location: United States
Source: Business Journal Daily
A $2 million project call funded by the Office of the Under Secretary of Defense, Manufacturing Technology Office, aiming to develop an AI-driven framework that identifies and quantifies risk in the current material allowables approach for 17-4PH stainless steel produced by laser powder bed fusion. The project consists of two phases.
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | planned |
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 | A $2 million project call funded by the Office of the Under Secretary of Defense, Manufacturing Technology Office, aiming to develop an AI-driven framework that identifies and quantifies risk in the current material allowables approach for 17-4PH stainless steel produced by laser powder bed fusion. The project consists of two phases. |
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 |