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Content archived on 2024-04-30

Integration of fuzzy logic and genetic algorithms into the automatic production of concrete elements

Objective



Objective of the project is the development of advanced automation technologies in a traditionally small and middle sized structured sector of the concrete industry: the industrial preproduction and precasting of the elements for concrete buildings (such as walls and roof plates). The following main steps of production in a precasting factory will be improved: (1) Optimisation of the robot control and gripper for setting the form and shuttering of the precast parts. (2) Improving quality and speed of the production of wire mesh as reinforcing steel. (3) Improving the quality of distributing the concrete into the form. (4) Introduction of new optimisation tools into the central production control computer. The project is scheduled over 20 months. In this time practical usable solutions will be developed by integrating modern control and planning methods like fuzzy logic genetic algorithms and evolutionary strategies into the four production steps mentioned above. Practical test and optimisation will be done in the production lines of the partners. The improvement of production will result in a substantial reduction of production costs, production time and material needed. Furthermore high amounts of wood and polystyrene wastes will be completely saved. Working conditions will be improved, because hard, dirty and monotonous labour will be replaced by automatic systems.

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Topic(s)

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Funding Scheme

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CRS - Cooperative research contracts

Coordinator

Kerkstoel 2000+ NV
EU contribution
No data
Address
11,Industrieweg
2280 Grobbendonk
Belgium

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Total cost

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Participants (6)

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