Increasing the wear resistance of piston rings by plasma spraying

Conclusions A simple and economical method of coating piston rings with wear-resistant alloys has been proposed, in which plasma spraying is employed instead of electrodeposition. An optimum technique has been developed for the plasma spraying of sintered piston rings. It is proposed that Kh12M steel be used as the wear-resistant coating material. The sprayed layer exhibits a wear resistance which is 4 times higher than that of chromium-plated cast iron and causes less wear of mating materials.Translated from Poroshkovaya Metallurgiya, No. 5 (53), pp. 46–51, May, 1967.     

Optimization of a BOF's lining resistance by application of artificial neural network

The artificial neural network approach for optimization of lining resistance of basic oxygen furnace is presented in this paper. A group of samples has been collected to study. 33 samples are divided into two classes, i.e. good samples (class 1) providing a furnace life of more than 1000 heats, and bad samples (class 2) meaning a furnace life of less than 1000 heats. Analysis of 18 factors influencing furnace life shows that the major factors are supplementary filling amount, blowing time, melting time, and production rate. In this research, 25 samples are used as learning material, while eight samples are used as testing material for the natural network. The factors of major influence are taken as input variables. As a result, the testing rate reaches 100 %, which indicates that the model trained is reliable. In order to increase the furnace life according to the model, the partial derivative value of the output to each feature variable at the average point of class-2 samples was calculated. The results show, that, whereas blowing and melting time had to be decreased, both the supplementary filling amount and production rate had to be increased. This result is quite consistent with the practical experience obtained in the plant. In addition, the neural network approach also has a fault-tolerant ability, prediction and optimization speed. To sum up, the neural network approach might be referred to as an effective assistant technique for optimization of iron and steel industry.     

镁钙砖的使用性能及其影响因素分析

介绍了镁钙砖的使用性能,包括耐高温性能、抗渣性能、抗剥落性能、耐磨性能、净化钢水的性能及抗水化性能,并对镁钙砖MgO/CaO比值、化学纯度和致密度等对使用性能的影响进行了分析和探讨,同时建议生产与用户使用条件相适应的＂专用型＂镁钙砖,以提高其使用效果。