Liu Bingguo

Prediction model of microwave calcining of ammonium diuranate using incremental improved back-propagation neural network

Prediction model of microwave calcining of ammonium diuranate using incremental improved back-propagation neural network Yingwei LI , Bingguo LIU , Jinhui PENG 1,2)∗, Wei LI , Daifu HUANG 3) and Libo ZHANG 1,2) 1) Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming 650093, China 2) Key Laboratory of Unconventional Metallurgy, Ministry of Education, Kunming University of Science and Technology, Kunming 650093, China 3) No.272 Nuclear Industry Factory, China National Nuclear Corporation, Hengyang 421002, China Manuscript received 23 May 2010; in revised form 17 October 2010

Prepare for U3O8 from Ammonium Uranyl Carbonate Using Microwave Calcination

The novel technology of calcination to prepare triuranium octaoxide (U3O8) from ammonium uranyl carbonate in microwave fields was investigated on the basis of the temperature rising characteristics of ammonium uranyl carbonate, triuranium octaoxide (U3O8), and their mixture. The result of experiments show that ammonium uranyl carbonate had weak capability to absorb microwave energy, while triuranium octaoxide has the very strong capability to absorb microwave energy and the sample temperature increased rapidly with an increase mixture ratio of triuranium octaoxide. The optimal calcination conditions were as follows: microwave power 700 W, calcination time 10 min and 60 g in this experiments range, respectively. Under these conditions the value of total uranium andU4+ of triuranium octaoxide was 84.28% and 31.02%, respectively. It is feasible to prepare triuranium octaoxide by calcination from ammonium uranyl carbonate, which mixed with small amounts of triuranium octaoxide under microwave fields.