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您的检索式：作者名="Yan Congbo"
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| 1 | Textured sur- face ZnO: B/(hydrogenated gallium-doped ZnO) and (hydro- genated gallium-doped ZnO)/ZnO : B transparent conduc- tive oxide layers for Si-based thin film solar cells 显示文摘 | Yan Congbo Chen Xinlian Wang Fei | 2012 | Thin Solid Films2012，521，： | 1 |
| 2 | Energy saving design of the machining unit of hobbing machine tool with integrated optimization显示文摘The machining unit of hobbing machine tool accounts for a large portion of the energy consumption during the operating phase.The optimization design is a practical means of energy saving and can reduce energy consumption essentially.However,this issue has rarely been discussed in depth in previous research.A comprehensive function of energy consumption of the machining unit is built to address this problem.Surrogate models are established by using effective fitting methods.An integrated optimization model for reducing tool displacement and energy consumption is developed on the basis of the energy consumption function and surrogate models,and the parameters of the motor and structure are considered simultaneously.Results show that the energy consumption and tool displacement of the machining unit are reduced,indicating that energy saving is achieved and the machining accuracy is guaranteed.The influence of optimization variables on the objectives is analyzed to inform the design. | Yan LV Congbo LI Jixiang HE Wei LI Xinyu LI Juan LI | 2022 | Frontiers of Mechanical Engineering2022，17，3： | 0 |
| 3 | A novel approach for remanufacturing process planning considering uncertain and fuzzy information显示文摘Remanufacturing,as one of the optimal disposals of end-of-life products,can bring tremendous economic and ecological benefits.Remanufacturing process planning is facing an immense challenge due to uncertainties and fuzziness of recoverable products in damage conditions and remanufacturing quality requirements.Although researchers have studied the influence of uncertainties on remanufacturing process planning,very few of them comprehensively studied the interactions among damage conditions and quality requirements that involve uncertain,fuzzy information.Hence,this challenge in the context of uncertain,fuzzy information is undertaken in this paper,and a method for remanufacturing process planning is presented to maximize remanufacturing efficiency and minimize cost.In particular,the characteristics of uncertainties and fuzziness involved in the remanufacturing processes are explicitly analyzed.An optimization model is then developed to minimize remanufacturing time and cost.The solution is provided through an improved Takagi-Sugeno fuzzy neural network(T-S FNN)method.The effectiveness of the proposed approach is exemplified and elucidated by a case study.Results show that the training speed and accuracy of the improved T-S FNN method are 23.5%and 82.5%higher on average than those of the original method,respectively. | Yan LV Congbo LI Xikun ZHAO Juan LI Lingling LI | 2021 | Frontiers of Mechanical Engineering2021，16，3： | 0 |
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