@article{article_570532, title={Examining the Formal Deformation of Ceramic Objects by Artificial Intelligence Application: ANFIS}, journal={Eskişehir Türk Dünyası Uygulama ve Araştırma Merkezi Bilişim Dergisi}, volume={1}, pages={12–16}, year={2020}, author={Kut, Uğur and Gülbandılar, Eyyup}, keywords={Seramik,Uzman sistemler,Deformasyon,ANFIS}, abstract={
It is necessary to prepare many prototypes in order to obtain a suitable form in the development and design of new products in the ceramic industry. Numerous trials have led to increased cost and labor loss due to deformation in the production process. In this study is aimed to develop an artificial intelligence model by using software to reduce these losses in the ceramic industry.
In order to investigate deformation of ceramic cylindrical objects, ceramic objects were produced in different chemical compositions, sintering temperature and sintering time. Initially, the cylindrical ceramic objects were poured into a hollow form. After evaporation of the water of these samples, this samples were scanned by using the geometric measurements (in the base, side and mouth regions) were made using classical method. Later, these samples were fired at different sintering times and temperatures in ceramic kiln. The deformations in the base, side and mouth regions of the cylindrical ceramic samples are then re-measured by using classical method. By using the data obtained from these experimental results, ANFIS (Adaptive Neuro Fuzzy Inference System) model was developed by using MatLab Toolbox. While the temperature, sintering time and composition of ceramic specimens are determined as input parameters in the developed ANFIS model, the amount of deformation is determined as output parameters. While the results of the Fifty-eight experiments were used for the training of the developing model, while the results of twenty-two experiments were used for the test of the developed model. We compared relation between ANFIS model results and experimental results with X2 test and founded a significant correlation (p<0.001 and for base and side κ=0.3, 0.3, respectively). But it is not found significant relationship between ANFIS model results and experimental results for mouth deformation (κ=0.06).
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