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Chen Z.,Huazhong University of Science and Technology | Zhang Z.,Huazhong University of Science and Technology | Ming W.Y.,Guangdong Province Key Laboratory of Digital Manufacturing Equipment | Huang H.,Huazhong University of Science and Technology
Advanced Materials Research | Year: 2014

Wire electrical discharge machining (WEDM) is extensively used in the mold, instrument and manufacturing industries, and rough cutting operation in WEDM is treated as a challenging process because improvement of more than one machining performance measures viz. metal removal rate (MRR), roughness (Ra) are sought to obtain a precision work. In this paper, first of all, a set of Taguchi experiment (L18 21×34) is carried out based on the Taguchi method. Secondly, two groups of ANOM are completed to obtain the influence trends of each parameters on material removal rate (MRR) and roughness (Ra), respectively. Eventually, three groups of best process parameters combination are acquired to meet high material removal rate (MRR) and low roughness (Ra) simultaneously, it can provide guiding significance to actual machining process. © (2014) Trans Tech Publications, Switzerland. Source


Li H.,Huazhong University of Science and Technology | Guo J.W.,Huazhong University of Science and Technology | Ming W.Y.,Huazhong University of Science and Technology | Zhang Z.,Guangdong Province Key Laboratory of Digital Manufacturing Equipment
Advanced Materials Research | Year: 2014

Nano electrical discharge machining (nano-EDM) method is an attractive measure to the manufacturing of parts of nanoscale dimension or precision, and is getting more and more interest of researchers, however, due to the incompleteness of EDM theories, the development of more advanced nano-EDM technology is impeded. In this paper, a hybrid simulation model, namely, combination of the molecular dynamics simulation model and two-temperature model of single discharge process in nano-EDM is constructed to study the machining process of nano-EDM from the thermal point of view. © (2014) Trans Tech Publications, Switzerland. Source


Zhang G.,Huazhong University of Science and Technology | Li H.,Huazhong University of Science and Technology | Zhang Z.,Northwestern Polytechnical University | Ming W.,Huazhong University of Science and Technology | And 2 more authors.
Machining Science and Technology | Year: 2016

During the wire electrical discharge machining (WEDM) process, the vibrations of the wire generated by the gap force is the main cause of imprecision. To achieve more precise results with better accuracy, understanding of the vibration management of the wire is essential. In this article, the wire’s vibration behavior is introduced briefly, followed by an exploration of an equation, derived from Hamilton’s principle, which expresses the vibration of a wire moving axially. This equation is presented under some simplified assumptions. In addition, the relationship between the maximum amplitude of the vibration and the main relative variables is presented. The solution demonstrates that a thicker workpiece results in a larger amplitude of vibration, yet the axial speed of the wire has no impact on the maximum amplitude. © 2016, © Taylor & Francis Group, LLC. Source


Ming W.,Zhengzhou University of Light Industry | Zhang Z.,Huazhong University of Science and Technology | Zhang Z.,Guangdong Province Key Laboratory of Digital Manufacturing Equipment | Zhang G.,Huazhong University of Science and Technology | And 7 more authors.
Materials and Manufacturing Processes | Year: 2014

In this paper, an experimental plan for Taguchi method of experimental design of processing tungsten steel YG15 has been conducted according to Gaussian process regression (GPR) with combinatorial kernel functions. The aim is to develop a proper nonlinear model and seek optimal parameters on materials removal rate (MRR) and 3D surface quality (Sz and Sq) by integrated GPR and non-dominated sorting genetic algorithm-II (NSGA-II). By this method, it has been demonstrated that the method of integrated GPR and NSGA-II is an effective way for multi-objective optimization on 3D micron-scale surface topography in wire electrical discharge machine (WEDM). © 2014 Taylor & Francis Group, LLC. Source


Ming W.,Zhengzhou University of Light Industry | Zhang G.,Huazhong University of Science and Technology | Li H.,Huazhong University of Science and Technology | Li H.,Guangdong Province Key Laboratory of Digital Manufacturing Equipment | And 4 more authors.
International Journal of Advanced Manufacturing Technology | Year: 2014

This paper proposed a hybrid intelligent process model, based on finite-element method (FEM) and Gaussian process regression (GPR), for electrical discharge machining (EDM) process. A model of single-spark EDM process has been constructed based on FEM method, considering the latent heat, variable heat distribution coefficient of cathode (fc), and plasma flushing efficiency (PFE), to predict material removal rate (MRR) and surface roughness (Ra). This model was validated using reported analytical and experimental results. Then, a GPR model was proposed to establish relationship between input process parameters (pulse current, pulse duration, and discharge voltage) and the process responses (MRR and Ra) for EDM process. The GPR model was trained, tested, and tuned using the data generated from the numerical simulations. Through the GPR model, it was found that responses of EDM process can be accurately predicted for the chosen process conditions. Therefore, for the selection of optimum parameters, the hybrid intelligent model proposed in this paper can be used in EDM process. © 2014, Springer-Verlag London. Source

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