粉石英 meaning in Chinese
conite
konilite
konite
Examples
- Custom toll processor of dry powders and source for test dust . processing services include pulverization and particle grinding of materials from metals and ceramics to polymers
-生产非金属矿产品的专业企业，产品有蛭石粉云母粉石英砂粉以及钾长石粉 - The quartz sand powder mainly used fors the glass , porcelain and ceramics , enamel ware , hot bottle , sodium silicates , cast , building materials , grind , fire - proof , the profession s main raw material of work , communication etc .
石英粉石英砂粉主要是用于玻璃陶瓷搪瓷热瓶胆矽酸钠铸造建材研磨耐火军工通讯等行业的主要原料。 - Firstly , the mechanism of the preparation of superfine quartz powder with ball mill is studied in this article , based on nature of quartz material , griffith ' s strength theory and the crush theory of planetary ball mill . the problem of granulation during the process of the preparation of superfine quartz powder is studied minutely . and proposed increasing dispersant and disperser medium to restrain granulation , and dispersing use ultrasonic after milled
首先,本文结合石英材料的基本物性,以格里菲斯强度理论和行星式球磨机的粉碎原理为基础,研究了球磨法制备超细石英粉体的机理,同时对粉石英制备过程中的团聚问题及其控制作了细致的研究,提出粉磨过程中增加分散剂和分散介质来抑制团聚,粉磨后采用超声法进行分散,并确定了最佳分散剂、分散介质的用量和最佳超声分散时间。 - The best dosage of dispersant and disperse medium , and the best time of ultrasonic disperse . secondly , the bp neural network process parameters model which describes the relationship between the important process parameters of the preparation of superfine quartz powder and the important evaluate guidelines was built , based on experimentation data . the forecast of the important guidelines was achieved with this model
其次,本文以试验数据为基础,基于bp神经网络建立了球磨法制备超细石英粉体的关键工艺参数(转速,时间,装样率,料球比)与粉体的关键评价指标(中值粒径,粗端粒径,均匀性系数)之间多目标多变量的bp网络工艺参数模型,该模型的建立实现了粉石英制备的关键指标预测。 - Thirdly , the weight and threshold of bp neural network model was optimized by genetic algorithm ( ga ) , which has stronger macroscopic search and global optimization property , based on bp network model of the preparation of superfine quartz powder . this model is named ga - bp , and improves the generalization capability and the parameters forecast precision of bp network model , and was proved to be correct by both theoretical analysis and experiment
再次,本文以粉石英制备的bp网络模型为基础,利用遗传算法( ga )较强的宏观搜索能力和良好的全局优化性能,对bp网络模型的权值和阈值进行优化,极大地提高了bp网络模型的泛化性能和参数预测精度,将经过ga优化后的bp网络模型简称为ga - bp网络模型。