توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Application of Artificial Neural Networks for prediction of Natural Gas Mixtures Water Content
اطلاعات انتشار: پنجمین کنگره بین المللی مهندسی شیمی، سال
تعداد صفحات: ۸
In this paper a new method based an Artificial Neural Network (ANN) for prediction of natural gas mixture water content is presented. The dehydration of natural gas is very important in the gas processing industry, for design of facilities of the production, transmission, and processing of natural gas. It is necessary to remove water vapor present in the gas stream that may cause hydrate formation at lowtemperature conditions that may plug the valves and fittings in gas pipelines. In this study the available data for mixtures and available methods for predicting the water content of sour gas have been studied. Based on obtained results from ANN simulation , our methods is more accurate than current used methods and can be used in gas engineering studies.<\div>

۲New features of chemical engineering program in Iran
نویسنده(ها):
اطلاعات انتشار: پنجمین کنگره بین المللی مهندسی شیمی، سال
تعداد صفحات: ۷
The subject of this study is describing features and positive points of new Iran chemical Engineering Education (ICEE) program in Bachelor of Science. In this program there is a great emphasis on applying computer in both teaching and courses. This fact and new designed computer– based courses are outlined in this paper. A design industrial project as a single course and its detail and its philosophy is described. Statistical comparisons show the advantage and real worthy of new program. The program can be applied in countries especially with cultural similarity as Iran.s<\div>
نمایش نتایج ۱ تا ۲ از میان ۲ نتیجه