Using of soft computing techniques in raw material and cement production process

The chemical composition and the uniformity of raw materials play an important role in the process economics and on finished cement quality, in cement manufacturing. On the other hand, it is important to determine 28-day cement strength of the Portland cement which is the most common type of cement for cement quality.In recent years, it is investigated that usage of soft computing techniques which have been popular particularly in engineering works. For this purpose, the prediction of lime saturation factor distributions of Adana Cement raw material site and 28-day compressive strength of cement product taken from Adana Cement Factory by means of fuzzy-neural network techniques has been conducted.As a consequence, the studies showed that the predictions are successful for both the raw materials site and the factory. It could be accepted that soft computing techniques are convenient tools for obtaining robust and flexible model structures.