Predictive Simulation of Defects in Structural Composites
Sector: Manufacturing (Industrial) • Location: Belgium
Source: EU Funding & Tenders Portal
PSIDESC (Predictive Simulation of Defects in Structural Composites) will aim at bringing new methodologies and deployable toolkits for robust design of composite parts and structures with respect to tolerances and defects that are related to the manufacturing process. The objective is to push acceptable means of compliance based on simulation capable of predicting the range of response that a par
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
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 | PSIDESC (Predictive Simulation of Defects in Structural Composites) will aim at bringing new methodologies and deployable toolkits for robust design of composite parts and structures with respect to tolerances and defects that are related to the manufacturing process. The objective is to push acceptable means of compliance based on simulation capable of predicting the range of response that a part may have under uncertainty. Predictive virtual testing including factors of variability coming from the manufacturing phase will: - reduce the scrapping of parts (through virtual assessment); - reduce the need for full inspection of parts; - enhance design and enable further weight savings with a better understanding of effect of variability on the behavior and defect tolerance of different areas of a part. |
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 |
