Objective
The quality of resistance pressure welding joints, frequently used in a lot of applications (automotive industry, electrical appliances...) is influenced by various factors. Up to now it is impossible to detect during the welding process whether the strength of the welding point is sufficient. Having finished the welding process, even with non-destructive testing using ultrasonic waves or x-rays, good quality cannot definitely be verified. In particularly safety relevant areas random destructive testing is performed and additional "safety points" are welded in order to guarantee that the overall strength of the joint is sufficient. The project aims at guaranteed reliable quality assurance which does not only allow to recognize defective joints during the welding process but also allows to avoid defective joints by on-line interferences (feedback control) during the welding process. Through such a technology it could be expected to reduce drastically the destructive testing, to save time in quality assurance and production (up to 25%) and to improve the welding quality. Well-known methods of artificial intelligence from other areas, especially neural networks shall be employed to evaluate on-line the input data of the welding control system (current, voltage and possibly electrode power) for quality assessment.The quality assurance mechanisms shall be cost effective and capable of being integrated in future control systems without expensive sensor technology. In the case of success there will be a great market in Europe for producers and users of the system and a good opportunity for SMEs in Europe to increase their competitivness.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- engineering and technology mechanical engineering vehicle engineering automotive engineering
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
HAMBURG
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.