Flexible and open-source tool for accurate reconstruction using industrial X-ray computed tomography
Sector: Manufacturing (Industrial) • Location: Belgium
Source: EU Funding & Tenders Portal
Our ability to achieve breakthroughs in manufacturing is dependent on our capacity to measure the features that define these breakthroughs. In other words, we can manufacture only as well as we can measure. Recent trends indicate that the future of mass production is in additive manufacturing (AM). X-ray computed tomography (CT) is the optimal solution for quantitative inspection of AM products as
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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 | Our ability to achieve breakthroughs in manufacturing is dependent on our capacity to measure the features that define these breakthroughs. In other words, we can manufacture only as well as we can measure. Recent trends indicate that the future of mass production is in additive manufacturing (AM). X-ray computed tomography (CT) is the optimal solution for quantitative inspection of AM products as it is currently the only technology that can perform non-destructive measurements of both internal and external features. However, the reliability of CT measurements is not yet established and the application of CT for product inspection is limited to qualitative tasks. FlexCT is a multi-disciplinary research project that answers the imminent need to bring CT to measurement maturity to keep the pace with the improvements and wider adoption of AM. The fields of dimensional metrology, software engineering, and manufacturing are combined to produce an effective and open solution for the decisive adoption of CT to inspection of AM and other high-value products. The candidate’s research experience is overwhelmingly in the field of dimensional metrology. Materialise and UAntwerp’s Vision Lab are selected strategically to ensure the successful execution of the project and to provide the candidate with exposure and training in new disciplines and work environments. Materialise is one of the world’s leading companies in AM technology and is proposed as the host institution for this project. The candidate’s exposure to and feedback from a manufacturer will allow the proposed solution to be optimized for the needs of the end-user. The secondment and collaboration with UAntwerp’s Vision Lab provides knowledge and support for tomographic reconstruction algorithms and software engineering. Dedicated training in additive manufacturing, software engineering, and leadership skills will help the candidate achieve his career goal of becoming an independent principal research scientist. |
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 |
