Papers by Author: Jian Feng Li

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Authors: Xiao Wei Wang, Fang Yi Li, Jian Feng Li, Li Ming Wang, Xiao Xu Chen
Abstract: Traditionally LCA generally focus on a global scale and on steady-state, linear modeling. How to reflect the varying and complicated spatial characteristics of environmental impacts of large numbers of processes is in urgent need for improving the practicality of the LCA, especially for that with distinct environmental diversity in China. Based on the Chinese environmental policies and standards, a method of multi-environmental spatial scales division in LCA is proposed. First, environmental space types are discussed according to the relations between the life cycle inventories, impact categories of LCA and the environmental spatial characteristics. Second, the environmental spatial scale coefficient is proposed and defined in order to quantify the spatial characteristics and used in the calculation for the environmental impact potentials of products. The method of calculation for the coefficient is presented by analyzing the endure capacity of regional environment. Finally, this method is applied to study the spatial characteristics of ambient air quality and other environmental space types.
Authors: Bin Zhao, Song Zhang, Jian Feng Li
Abstract: Three-dimensional surface roughness parameters are widely applied to characterize frictional and lubricating properties, corrosion resistance, fatigue strength of surfaces. Among them, the functional parameters of surface roughness, such as Sbi, Sci, and Svi, are used to evaluate bearing and fluid retention properties of surfaces. In this study, the effects of grinding parameters, including wheel linear speed (Vs), workpiece linear speed (Vw), grinding depth (ap), longitudinal feed rate (fa), and dressing rate (F), on functional parameters were studied in grinding of cast iron. An artificial neural network (ANN) model was developed for predicting the functional parameters of three-dimensional surface roughness. The inputs of the ANN models were grinding parameters (Vs, Vw, ap, fa, F), and the output parameters of the models were functional parameters of surface roughness (Sbi, Sci, Svi). With small errors (e.g MSE = 0.09%, 0.61%, and 0.0014%. ), the ANN-based models are considered sufficiently accurate to predict functional parameters of surface roughness in grinding of cast iron.
Authors: Rong Hua Yuan, Jie Sun, Jian Feng Li, Liang Yu Song, Yong Wu Zhang
Abstract: 69111-stainless steel has wide applications in aerospace industry due to its comprehensive performance. However, its machining properties are not well studied due to the short using history in product components. In this study, a series of end milling experiments were conducted to characterize surface integrity at various milling conditions. The experimental results have shown that the milled surface roughness value increases with increased feed and cutting speed, while decrease with axial depth-of-cut (DoC) , and presents an inflexion with the radial DoC, with a rang of 0.7~1.7μm. Residual stress determined by the coupling effect of mechanical and thermal deformations varies differently with the increased cutting parameters.
Authors: Bin Huang, Jian Feng Li, Jin Chen Wang, Yin Zhou He, Wei Shang
Abstract: In the fields of transparent liquid impurity detection based on machine vision technology, how to detect and identify a variety of impurities effectively in the liquid is a difficult problem which has not yet been solved, mainly in the low recognition rate, the slow recognition speed, and the phenomenon of error detection and undetected. Therefore, a new impurity detection method based on machine vision is presented in this paper. The experiments show that this method can decrease the recognition speed to 100ms for impurities’ diameter greater than 1mm and achieved a 99% recognition rate.
Authors: Yuan Wei Wang, Song Zhang, Jian Feng Li, Tong Chao Ding
Abstract: In this paper, Taguchi method was applied to design the cutting experiments when end milling Inconel 718 with the TiAlN-TiN coated carbide inserts. The signal-to-noise (S/N) ratio are employed to study the effects of cutting parameters (cutting speed, feed per tooth, radial depth of cut, and axial depth of cut) on surface roughness, and the optimal combination of the cutting parameters for the desired surface roughness is obtained. An exponential regression model for the surface roughness is formulated based on the experimental results. Finally, the verification tests show that surface roughness generated by the optimal cutting parameters is really the minimum value, and there is a good agreement between the predictive results and experimental measurements.
Authors: Pan Ling Huang, Jian Feng Li, Jie Sun
Abstract: In the paper, a static milling force model for variable pitch mills was built, and the milling forces were simulated. The resultant force and its frequency spectra of variable pitch mills were analyzed compared with that of uniform pitch mills. It is shown that the standard deviation (SD) of frequency spectra amplitudes for variable pitch mills is extremely lower than that of uniform pitch mills. Through simulation for SD of frequency spectra amplitudes affected by the different cutting parameters, a pitch angles distribution of variable pitch helix end mills with lower SD of frequency spectra amplitudes was selected.
Authors: Pan Ling Huang, Jian Feng Li, Jie Sun
Abstract: Chatter is one of the main factors that affects the manufacturing quality and limits the productivity during milling. If properly selecting mills with variable pitch distribution, the chatter may be reduced. If mills have sufficient rigidity, its vibration resistance will be improved extremely. The paper summarizes the effects of helix angles, pitch angles distribution on the maximum stress, the maximum strain based on FEM simulation, the result of simulation can offer theoretical instructions to optimize and select the optimal mills based on intensity and rigidity.
Authors: An Fu Guo, Jian Feng Li, Fang Yi Li, Bao Kun Wei, Jian Yong Li
Abstract: The performance and biodegradability of plant fibre and starch dishware (PFSD), pulp model dishware (PMD) and starch plastic dishware (SPD) were studied. The experimental results showed that these three kinds of dishware satisfy the requirements of use. The fungi growth degree and the weight loss percentage of these materials were analyzed. The experimental results showed that the growth grade of PFSD and PMD were both Ⅴgrade and the weight loss rate respectively were 41.59% and 82.73%, the biodegradability of SPD was not obviously observed in the whole process of the experiment. The degradation speed was analyzed, which showed that the degradation speed of PFSD and PMD was faster in the former two weeks than that in the latter two weeks. The biodegradability of each kind of dishware were compared under three different environments, the results showed that inoculation environment (T=30°C, RH>90%, 28 days) is the best environment for dishware to biodegrade by fungi.
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