AI Integration in Glass Manufacturing Process
Sector: Advanced Electronics • Location: Bowling Green, Ohio, United States
Source: Newswise
A three-year research project led by Bowling Green State University to leverage artificial intelligence and machine learning to enhance process controls and energy efficiency in glass melting. The project aims to develop AI-based methods to improve performance and energy efficiency in glass manufacturing, addressing challenges such as insufficient sensor coverage in glass furnaces.
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | under research |
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 three-year research project led by Bowling Green State University to leverage artificial intelligence and machine learning to enhance process controls and energy efficiency in glass melting. The project aims to develop AI-based methods to improve performance and energy efficiency in glass manufacturing, addressing challenges such as insufficient sensor coverage in glass furnaces. |
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 |