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Investigators from Razi University Target Nanoparticles

February 25, 2014

By a News Reporter-Staff News Editor at Journal of Mathematics -- Investigators publish new report on Nanoparticles. According to news reporting originating in Kermanshah, Iran, by VerticalNews journalists, research stated, "These days, the trend in every manufacturing industry including welding is to automate the processes in order to increase productivity. To achieve this objective, it is therefore necessary to make use of models to relate the input parameters with the responses."

The news reporters obtained a quote from the research from Razi University, "This paper reports on the applicability of fuzzy logic to predict the weld bead penetration in submerged arc welding process as affected by input welding parameters. Fuzzy logic is a computer technique which allows expressing, evaluating, and simplifying complexities in regard to the relationships in a process by describing the dependencies between output and input parameters in a linguistic form. To develop the fuzzy logic model, the arc voltage, welding current, welding speed, electrode stick-out, and thickness of TiO2 nanoparticles were taken as the input parameters and the weld bead penetration as the response. In order to generate experimental data, a five-level five-factor rotatable central composite design of experiments was employed. Experiments were performed, and the weld bead penetrations were measured. The predicted results using fuzzy logic were compared with the experimental ones. The correlation coefficient value obtained was 99.99 % between the measured and predicted values of weld bead penetration."

According to the news reporters, the research concluded: "The results show that the fuzzy logic is an accurate and reliable technique used in predicting the weld bead penetration due to its low error rate."

For more information on this research see: Combined effect of TiO2 nanoparticles and input welding parameters on the weld bead penetration in submerged arc welding process using fuzzy logic. International Journal of Advanced Manufacturing Technology, 2014;70(1-4):63-72. International Journal of Advanced Manufacturing Technology can be contacted at: Springer London Ltd, 236 Grays Inn Rd, 6TH Floor, London WC1X 8HL, England. (Springer -; International Journal of Advanced Manufacturing Technology -

Our news correspondents report that additional information may be obtained by contacting M. Aghakhani, Razi Univ, Dept. of Chem Engn, Polymer Res Center, Kermanshah, Iran. Additional authors for this research include M.R. Ghaderi, A. Karami and A.A. Derakhshan.

Keywords for this news article include: Iran, Asia, Kermanshah, Fuzzy Logic, Nanotechnology, Emerging Technologies

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Source: Journal of Mathematics

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