堿回收法 的英文怎麼說
中文拼音 [jiǎnhuíshōufǎ]
堿回收法
英文
silvolarecoverysilvola-
This paper explained the technology that taking calces of pyrite as theraw materials, using the way of chemical process of mineral, dislodging the detrimental impurities with the measures of dipping lye and dipping acid oxide, wich aimed to get the rate of recovery of valuable metallic elements au 87 %, ag 76 %, cu 82 %
摘要以黃鐵礦燒渣為原料，通過化學選礦的方法，採用堿浸及氧化酸浸的工藝，除去有害雜質和回收有價金屬元素金、銀、銅，回收率分別為87 % 、 76 % 、 82 % 。Examples of the application of ion exclusion in sugar industry include recovery of sucrose, raffinose, betaine, purification of syrup, and factory process problems
給出了離子排斥色譜法在製糖工業中的應用，其中包括從廢蜜中回收糖份，提取棉實糖、甜菜堿，糖漿提純以及製糖工藝過程的診斷。This paper introduced the improves of roasting - sodium processing and such pollution - free processing as acid leaching - extration, roasting in air - acid leaching - extration, liming roasting - alkali leaching on extraction of v2o5 from stone coal, the total recovery rate obtains enhances, the industrial application prospect is good
摘要介紹了石煤提釩傳統工藝的改進以及酸法萃取、無鹽焙燒酸浸萃取、氧化焙燒堿浸等幾種從石煤無污染提取五氧化二釩的工藝流程，上述工藝不但生產過程無環境污染，釩的回收率還大有提高，是很有前途的清潔生產工藝。Base reclamation from paper - pulping black liquor by an ultrasonic - membrane process
制漿黑液的超聲膜法堿回收工藝Alkali recovery is an effective way dealing with the black - liquor in pulp mill. black - liquor evaporation and combustion in, alkali recovery are complicated industrial processes. they have characteristics such as strong coupling, non - linearity, large time delay, parameter examining difficulty, etc. and people require more effective control system for the processes "
堿回收是紙廠處理黑液的有效方法，造紙堿回收過程中的燃燒和蒸發工段是復雜的工業過程，具有復雜性、非線性、大時滯和參數檢測困難等特點，而且人們對于控制系統的控制性能也提出越來越高的要求，常規控制技術已經沒有辦法滿足生產的需要。Simulation results show the effectiveness of the algorithm. based on the integration of rough set and neural networks, a rough neural network based on predictive model control strategy for alkali recovery boiler control is developed. the framework of alkali recovery dedicated control system is introduced in chapter 5, including system hardware frame and software design and basic functions of system
3 ）針對堿回收蒸發工段具有強耦合、大時滯的特性，通過分析傳統解耦演算法的不足，提出了蒸發工段神經網路解耦控制方案，通過模擬證明方法的有效性；同時通過集成粗糙集和神經網路方法，提出了基於粗糙集的神經網路預測模型控制方案，並應用到堿回收爐的控制當中。分享友人