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Shijiazhuang, China

Duan Y.,Lanzhou University | Bian F.,Lanzhou University | Huang H.,Mechnical Engineering College
Polymers for Advanced Technologies

A novel type of porous oil-absorbent microspheres based on poly(stearyl methacrylate-co-butyl acrylate) was prepared via suspension polymerization. By investigating the effects of the cross-linking agent, monomer ratio, initiator, stabilizer, water/oil ratio, and porogen agent on the oil absorbency of the prepared oil-absorbents, an optimized oil-absorbent microsphere OAM-T was obtained, and characterized by FT-IR and SEM. The oil absorbencies of OAM-T toward chloroform, toluene, gasoline, and diesel were measured to be 61.9, 32.6, 28.8, and 28.2g/g respectively, with oil absorption saturation time being 1.0, 1.5, 2.0, and 3.0hr. The oil retention of OAM-T toward the four oils is all above 95%. Besides in pure oils, OAM-T also has high oil absorbencies in oil-water mixture. It can be reused at least 12 times with little change in oil absorbency. Owing to its excellent oil absorption performance, OAM-T might find applications for removing oil spills and organic pollutants from water. Copyright © 2016 John Wiley & Sons, Ltd. Source

Zhensheng W.,China Institute of Technology | Jian S.,Mechnical Engineering College | Guangyao L.,China Institute of Technology
Applied Mechanics and Materials

Due to the uncertainty in the testing process of electric equipment, Bayesian network is introduced to modify the hybrid diagnostic model, and the HD-BN model is established which has the ability to deal with uncertain information. Considering the relations between functions and failure modes, the priori probabilities of failure modes are corrected, and the uncertain matrix expressing relations between failure modes and tests under uncertainty is acquired based on Bayesian inference,which lay the foundation for further optimization of design for testability. © (2013) Trans Tech Publications, Switzerland. Source

Ye W.,Mechnical Engineering College | Gao J.,Mechnical Engineering College | Wang L.,Mechnical Engineering College | Gao F.,Mechnical Engineering College
ICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings

Logistics is the movement process of items from the suppliers to receivers. With the rapid development of socio-economic, logistics has become one of our nation's important industries. "Rationalization of distribution" has become a kind of inside request in today's logistics development, and it is increasingly catching people's attention. Based on the packing problem of distribution in logistics, this article leads to genetic algorithm in packing problem applications, it focuses on the application of genetic algorithm to solve the bin-packing problem, and will achieves good results. © 2010 IEEE. Source

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