Recovery of indium by acid leaching waste ITO target based on neural network

The optimized leaching techniques were studied by technical experiment and neural network optimization for improving indium leaching rate. Firstly, effect of single technical parameter on leaching rate was investigated experimentally with other parameters fixed as constants. The results show that increasing residual acidity can improve leaching rate of indium. Increasing the oxidant content can obviously increase leaching rate but the further addition of oxidant could not improve the leaching rate. The enhancement of temperature can improve the leaching rate while the further enhancement of temperature decreases it. Extension leaching time can improve the leaching rate. On this basis, a BPNN model was established to study the effects of multi-parameters on leaching rate. The results show that the relative error is extremely small, thus the BPNN model has a high prediction precision. At last, optimized technical parameters which can yield high leaching rate of 99.5%were obtained by experimental and BPNN studies：residual acidity 50-60 g/L, oxidant addition content 10%, leaching temperature 70 ℃ and leaching time 2 h.

氧化锆基金属陶瓷放电等离子烧结制备与性能研究

氧化锆陶瓷材料的脆性限制了其在某些领域的应用。文章首创在氧化锆粉末中加入316L不锈钢粉,通过放电等离子烧结制备氧化锆基金属陶瓷。试验通过不同的成分配比和不同的烧结温度进行对比研究,采用金相分析、XRD、SEM/EDS等测试方法,对材料的微观结构和宏观性能等进行了表征与分析。并通过断口分析,讨论了Zr O2·316L金属陶瓷的增韧机理。结果表明:采用放电等离子烧结制备出的材料随相组成的成分所占比例的改变,其致密度、弯曲强度、横向断裂强度、断裂韧性都随之呈现出相应的变化规律;316L相以片状均匀分布在氧化锆基体中,在材料断裂时起到了颗粒/纤维增韧的作用。同时氧化锆部分以亚稳相t-Zr O2的形态存在,也起到了相变增韧的作用。