Frontiers of Manufacturing and Design Science

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Authors: Wen Shang Xu, An Xin Li, Cai Xia Liu
Abstract: In this paper, making application of configuration software KingView6.52 and PLC in tailing cementation-filling automatic control system for an example, introduces the software configuration and hardware configuration of the system, details of the design of the control system and develops friendly monitoring interfaces using KingView6.52.The upper computer communicates with PLC by PROFIBUS and realizes remote control.
Authors: Wen Qiang Sun, Jiu Ju Cai, Da Wei Zhang, Duo Jiao Guan
Abstract: A general review was made on research of advanced reducing carbon dioxide (CO2) emissions’ technologies for steel manufacturing process in this paper. Various technologies – ultra low CO2 steelmaking (ULCOS), CO2 ultimate reduction in steelmaking process by innovative technology for cool earth 50 (COURSE50), solar iron-making, CO2 mineral sequestration by slag and active carbon recycling energy system (ACRES), etc. – have been represented respectively. Finally the establishing of an energy flow network from the systematic point of view was recommended.
Authors: Hui Sun, Zhi Qing Fan, Ying Zhou
Abstract: Combining with the characters of the practicing qualification personnel in construction market, probabilistic neural network is brought out trying to analyze the credit classification of the practicing qualification personnel. And the impact factor of the number of neurons on the credit classification of the practicing qualification personnel is studied. Then a probabilistic neural network is built. At last, a case study is conducted by taking practicing qualification personnel as an example. The research result reveals that the method can efficiently evaluate the credit of the practicing qualification personnel, thus it could provide scientific advice to the construction enterprise to prevent relevant discreditable behaviors of some practicing qualification personnel.
Authors: Bing Hai Zhou
Abstract: Photolithography is usually the bottleneck process with the most expensive equipment in a semiconductor wafer fabrication system. To improve the performances of the photolithography area with dynamic combination rules, a method of Kohonen neural network (KNN)–based performance improvements is proposed. First, a dynamic scheduling framework based on a KNN model and scheduling rules is proposed. A KNN-based sample learning algorithm for improving the performances is presented. Finally, to demonstrate the validity and feasibility of the proposed method, data from a real wafer fabrication system are used to simulate the proposed method. Results of simulation experiments indicate that the proposed method can be used to improve a complex wafer photolithography performance.
Authors: Zi Yang Cao, Hua Li
Abstract: To improve the dynamic performance of developed micro-milling system, the servo parameters were adjusted and the PID values were optimized respectively by considering the different characteristics of the servo driver under the position, velocity and torque control modes. Then, the different effects of three control modes on the micro-milling system were comparatively analyzed by means of orthogonal test. A control mode with better dynamic performance was chosen properly for the micro-milling system. Given the acceleration of 30m/s2 and feed speed of 200mm/s, the positioning error of micro-milling system was less than 1μm.
Authors: Lin Li, Bo Wang, Luo Chen
Abstract: To optimize agriculture structure, it is important to develop middle and lower factors of the industrial chain and to improve its technologies and management. The current efficiency is analyzed by qualitative ways and DEA. It is argued of the relationship between economy and deep processing of primary products. Then selection and forecast of technology is applied based on self-adaptive filter forecasting.
Authors: Qi Zhang, La Dao Yang, Heng Wen
Abstract: A two-dimensional (2-D) heat transfer and solidification model has been established and applied to calculate the temperature distribution and solid shell thickness profile of a continuous casting slab in a steel plant. A finite difference method was used for the numerical simulation. For thermal analysis, the 2-D slice unsteady-state heat conduction equation with enthalpy convention was used. Meanwhile, non-linear material properties of specific heat and thermal conductivity as well as phase changes during solidification were considered in the model. The temperature distribution and solid shell thickness calculated by mathematical model agree with those predicted by industrial and experimental measurements. The model could also be used to predict the optimum process parameters on casting speed, heat removal rates and the water distribution of secondary cooling zone.
Authors: Yin Da Sun, Wen Qin Xu, Bai Qing Zhou, Wen Yong Tao
Abstract: The electromechanical professional have been recommended to be one of the ten urgently needed in the 21st century. According to problems existed in teaching, reforming ideas and its implementation are put forward to provide an operable, referencable, and propagable mode for the personnel training scheme.
Authors: Yin Da Sun, Wen Qin Xu, Bai Qing Zhou, Feng Zhu
Abstract: The conventional technology about how to segmental machining and welding form the straight-drawing pole in automobile has been changed by a new technology reamed by a tube blank, which improves its mechanical performance and appearance quality. Material is saved and working efficiency is raised as well.

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