Objective
The operation of the rotary kiln with the Fuzzy Logic System was checked for a period of three months. All the required modifications and improvements of the expert system including the final set-up of the control strategies was performed, the first three (3) weeks of the evaluation period.
Operational results from the Fuzzy Logic System during the evaluating period indicate the following improvements:
- Fuel savings approximately 3,5%
- Up to 9% increase in the average hourly production rate
- Uniform and higher prereduction degree of lateritic ore by 2%
- Stable kiln operation
- Reduced emission to the environment due to the reduction of fuel consumption
- Higher run factor for the kiln (approximately 90%)
- Lower electric energy consumption in the electric furnaces through the higher prereduction degree of the lateritic ore.
According to some estimations the stable operation of the rotary kiln No. 4 and all the above mentioned improvements result in a 4% reduction of the total production cost.
An expert system will be developed for the control and optimization of the rotary kiln pre-heating and pre-reduction operations. This expert system will automize the operation of the rotary kilns used for metallurgical processing of the laterite ores. This is a novel application of expert systems due to reactions taking place in the kiln and the difficulty and importance of controlling kilns reducing atmosphere. It is expected that a more environmentally friendly rotary kiln operation will be achieved due to kilns optimization.
The main research tasks are:
i) Definition and reporting of all production parameters of the preheating kiln,
ii- development of the relationships between these production parameters,
iii) development of an expert system which easily achieve the optimum preheating kiln operating conditions,
iv) successful completion will increase productivity by 5% and will decrease fuels consumption by 5%.
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 electrical engineering electric energy
- social sciences economics and business economics production economics productivity
- natural sciences computer and information sciences artificial intelligence expert systems
- engineering and technology environmental engineering energy and fuels
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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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.
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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
10557 ATHENS
Greece
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.