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Articles by Yucheng Wu
Total Records ( 3 ) for Yucheng Wu
  Rongjun Pan , Shenghui Pan , Juying Zhou and Yucheng Wu
  Indium tin oxide nanoparticles prepared by co-precipitation were re-dispersed in benzyl alcohol and modified successfully with titanium dioxide using titanium tetrachloride as precursor. The morphologies and the re-dispersing processes of both the initial and modified indium tin oxide nanoparticles were investigated, respectively. The photocatalytic properties of the modified nanoparticles were compared with commercial P25 photocatalyst. It was found that (i) the average diameter of the initial indium tin oxide nanoparticles was 10.7nm and that of the surface-modified nanoparticles was 14.5nm; (ii) the optimal ultrasonication time was 10.0min and 8.0min for the initial and surface-modified ITO nanoparticles, respectively; (iii) the modified particles possessed a higher photocatalytic activity than commercial P25 photocatalyst in the photodegradation of rhodamine B in aqueous medium at pH 5.00; (iv) the pH of the medium markedly influences the photodegradation efficiency.
  Yucheng Wu , Gang Rong , Lianhai Li , Kaixiang Yang and Zhongli Zhang
  Scheduling optimization in oil-refining industry has been attracted great academic attentions for many years. Most researches on scheduling optimization focus on sub-problems such as crude oil scheduling, production scheduling and blending scheduling and tremendous progress has been made. Meanwhile, the overall scheduling problem which involves multi-stage oil-refining processes is still difficult to handle because of its scale and complexity. This paper reviews the development of modeling strategies and solution approaches of scheduling problems in recent years and gives holistic perspective of researches on scheduling technologies in oil-refining industry.
  Yucheng WU , Gang RONG , Jixiong LI , Luheng ZHANG and Zhiqiang LI
  In petrochemical plants, schedulers have to determine how much newly received raw material should be piped into reception tanks which stored previously received raw material and mix raw material with desirable composition proportion to produce products with due dates. To address the challenge, we established an optimization model to deal with short-term production scheduling integrated with raw materials mixing process and introduced a strategy to make due dates of products demands flexible that can be adjusted at minimum costs while original ones cannot be met. A novel bounding algorithm is developed to determine hard bounds of variables in bilinear terms of the model, which makes the proposed mixed integer nonlinear programing (MNILP) model can be solved effectively by using the global solution approach based on piecewise defined convex envelops. Finally, a study case of petrochemical production is presented to illustrate the approaches proposed in the paper.
 
 
 
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