Wenfeng Ding
Nanjing University of Aeronautics and Astronautics
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Featured researches published by Wenfeng Ding.
Journal of Materials Engineering and Performance | 2006
Wenfeng Ding; Jiuhua Xu; Yucan Fu; Bing Xiao; Honghua Su; Hongjun Xu
Thermodynamic and reaction process analyses were performed to understand the joining characteristic during high temperature brazing between cubic boron nitride (CBN) grit and a silver-base filler alloy containing Ti as an active element. Experimental information on the microstructure of the brazed joint, the composition of the interface, and the shape of the compounds formed on the surface of the grit was obtained by scanning electron microscopy, energy-dispersive x-ray, and x-ray diffraction. The results indicate that Ti in the molten filler alloy facilitated good wetting between the solid CBN crystals and braze filler alloy. The transition layer formed by the interaction of TiN and TiB2 was one of the key factors in joining the CBN and steel substrate.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | 2016
Wenfeng Ding; Qing Miao; Yejun Zhu; Jiuhua Xu; Yucan Fu
High-speed grinding experiments were conducted on a nickel-based superalloy Inconel718 with the monolayer brazed wheel containing monocrystalline cubic boron nitride grains and polycrystalline cubic boron nitride grains. Comparative investigation on the wear behavior and self-sharpening phenomenon of polycrystalline cubic boron nitride and monocrystalline cubic boron nitride grains was carried out based on the fractal analysis. The results obtained indicate that the wear process of the monocrystalline cubic boron nitride grain cutting edges is, in order, attritious wear → large fracture → micro fracture → large fracture → attritious wear, while that of the polycrystalline cubic boron nitride grain cutting edges is micro fracture → attritious wear → micro fracture. Micro fracture of polycrystalline cubic boron nitride grain occurs easily in the particular zone where large impact load is formed due to the first contact between the grain cutting edges and the workpiece material. The fractal dimension of monocrystalline cubic boron nitride wheel is 2.040–2.047, while that of the polycrystalline cubic boron nitride wheel is 2.049–2.054, which indicates that the polycrystalline cubic boron nitride grain cutting edges are finer than that of the monocrystalline cubic boron nitride counterparts. Compared to monocrystalline cubic boron nitride grains, better performance, that is, smaller radial wheel wear, lower grinding force and forces ratio, is obtained for polycrystalline cubic boron nitride grains due to micro fracture behavior and self-sharpening phenomenon in high-speed grinding.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | 2016
Biao Zhao; Wenfeng Ding; Jiuhua Xu; Honghua Su
High-speed grinding experiments of particle reinforcing titanium matrix composites ((TiCpu2009+u2009TiBw)/Ti-6Al-4V) were carried out with vitrified cubic boron nitride wheel and electroplated cubic boron nitride wheel, at the wheel speed ranged from 80 to 140u2009m/s. The cutting behavior, that is, grinding force, grinding temperature, specific grinding energy, and ground surface morphology, and grinding chips are analyzed. The results indicate that compared to the workpiece speed and the depth of cut, the wheel speed has a more significant influence on the grinding forces. The grinding temperature and specific grinding energy obtained with the vitrified cubic boron nitride wheel are always larger than those with the electroplated cubic boron nitride wheel. Based on the comprehensive consideration in terms of grinding force, grinding temperature, and specific grinding energy, the electroplated cubic boron nitride wheel is more suitable than vitrified cubic boron nitride wheel for high-speed grinding particle reinforcing titanium matrix composites. The removal of the reinforcements of particle reinforcing titanium matrix composites is mainly by means of pullout, fracture or crushing, micro-cracks, voids, and smearing. The segment chips containing the reinforcements are formed during high-speed grinding of particle reinforcing titanium matrix composites.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | 2017
Zheng Li; Wenfeng Ding; Chang-Yu Ma; Jiuhua Xu
High-efficiency deep grinding experiments of Inconel 718 nickel-based superalloy was carried out with the porous metal-bonded cubic boron nitride superabrasive wheel, in which the uniform and large pores were formed by the broken alumina bubble particles in the working layer after wheel dressing. Grinding temperature, energy partitioning into workpiece, and wheel wear were investigated. Results obtained show that long maintenance of low grinding temperature, that is, 50u2009°C–170u2009°C, is obtained in high-efficiency deep grinding with the porous metal-bonded cubic boron nitride wheel. The energy partitioning into the ground workpiece is ranged from 2% to 6%, which is smaller than that with the conventional vitrified cubic boron nitride wheels and alumina abrasive wheels. Sufficient storage space for chips and coolants contributes to the excellent performance of the porous metal-bonded cubic boron nitride wheel in high-efficiency deep grinding. Abrasion wear and grain fracture are the dominant wear patterns of the porous cubic boron nitride wheel in the steady wear stage, while chips loading and grain pullout play a critical role in the final dramatic wear behavior of the porous wheel.
Advances in Mechanical Engineering | 2014
Wenfeng Ding; Yejun Zhu; Jiuhua Xu; Honghua Su
In order to fabricate the abrasive wheels with good grain self-sharpening capacity, two types of multicrystalline CBN grains, that is, polycrystalline CBN (PCBN) and binderless CBN (BCBN), were brazed using Cu-Sn-Ti alloy, respectively. Comparative investigation on the brazing interface, compressive strength, and wear properties of the different grains was carried out. Results obtained show that the PCBN grains have more intricate reaction, more complicated resultants, and thicker reaction layer than the BCBN counterparts under the identical brazing conditions. Though the average compressive strength of the PCBN grains is similar to that of BCBN ones, stronger self-sharpening action by virtue of the microfracture behavior takes place with BCBN grains during grinding. As a consequence, compared to the brazed PCBN wheels and the conventional monocrystalline CBN (MCBN) ones, longer service life is obtained for the brazed BCBN wheels.
Key Engineering Materials | 2011
Lin Tian; Yu Can Fu; Wenfeng Ding; Jiu Hua Xu; Honghua Su
Single-grain grinding test plays an important part in studying the high speed grinding mechanism of materials. In this paper, a new method and experiment system for high speed grinding test with single CBN grain are presented. In order to study the high speed grinding mechanism of TC4 alloy, the chips and grooves were obtained under different wheel speed and corresponding maximum undeformed chip thickness. Results showed that the effects of wheel speed and chip thickness on chip formation become obvious. The chips were characterized by crack and segment band feature like the cutting segmented chips of titanium alloy Ti6Al4V.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | 2018
Huan Zhou; Wenfeng Ding; Zheng Li; Honghua Su
A back-propagation neural network BP model and a genetic algorithm optimizing back-propagation neural network (GA-BP) model are proposed to predict the grinding forces produced during the creep-feed deep grinding of titanium matrix composites. These models consider quantitative and non-quantitative grinding parameters (e.g. up-grinding mode and down-grinding mode) as inputs. Comparative results show that the GA-BP model has better prediction accuracy (e.g. up to 95%) than the conventional regression model and the BP model. Specific grinding energy was calculated against the grinding parameters and grinding modes based on the grinding forces predicted by the GA-BP model.
The International Journal of Advanced Manufacturing Technology | 2013
Wenfeng Ding; Jiuhua Xu; Zhou Chen; Changyong Yang; C.J. Song; Yucan Fu
Materials Science and Engineering A-structural Materials Properties Microstructure and Processing | 2013
Wenfeng Ding; Jiuhua Xu; Qing Miao; Changyong Yang
Materials Science and Engineering A-structural Materials Properties Microstructure and Processing | 2006
Wenfeng Ding; Jiuhua Xu; M. Shen; Honghua Su; Yucan Fu; Bing Xiao