Papers by Author: Feng Jiang

Abstract: This paper presented a finite element simulation model for the analysis of AISI D2 orthogonal cutting process using TiAlN coated inserts. Firstly, AISI D2 material constitutive model was built based on power law model, which was used in the FEM codes to describe the effect of strain, strain rate and temperature on the material flow stress. In modeling the chip formation, a damage model was employed to predict the chip separation. Then cutting edge radius and thickness of TiAlN coating of cutting tool were measured by SEM. Friction coefficients of cutting tool against AISI D2 steel were obtained by ball-on-plate friction tests on UMT-2 high speed tribometer. Finally, finite element simulations of AISI D2 orthogonal cutting processes were performed using AdvantedgeTM software. The simulated results of cutting forces and chip morphology showed good agreement with the experimental results, which validated the reliability of the cutting process simulation method.

Abstract: In this study, mechanical model of plowing process considering material flow process was built. Dynamic material model of workpiece (AISI D2) was included in this plowing model. The friction between diamond indenter against AISI D2 steel was obtained by the ball-on-plate test. The scratch tests with diamond indenter against AISI D2 steel were performed. The scratch morphology was investigated by white light interferometer. The scratch forces in the different loads were calculated by the mechanical model of plowing process. The calculated scratch forces showed good agreement with experimental results.

Abstract: White light interferometer was employed to measure the surface topography of 60# and 120# alumina grinding wheel. The correlation of wheel topography and its performance was characterized through the three-dimensional (3D) surface characterization parameters of “Birmingham set”. Birmingham parameters were used to characterize the performances of grinding wheel, in items of grain density, grain shape and grain sharpness. The effects of sampling interval on the 3D surface parameters were analyzed and the optimal sampling interval was selected to calculate the 3D surface parameters.

Abstract: For the analysis of cooling effect, the cutting inserts were heated to 900°C and then exposed in the room-air and cold-air with different pressure respectively. The temperature variation were recorded by infra-red (IR) pyrometer. The temperature-dependent global heat transfer coefficients were estimated by the theoretical analysis and experimental data. The finite element analysis (FEA) was employed to simulate the cooling process and modify the estimated heat transfer coefficients. The heat transfer coefficients decreased from 55.1 W/m2•°C (800°C) to 9.32 W/m2•°C (350°C) in the natural cooling and approximately 300 W/m2•°C (600°C) to 60 W/m2•°C (300°C) in the cold-air cooling. Cold-air cooling greatly increased the heat transfer coefficients, but it seemed the air pressure had little pressure on the heat transfer coefficients.

Abstract: Friction coefficient is an important index to evaluate the cooling and lubrication effects. In this study, the orthogonal milling experiments with different cooling/lubrication methods (dry, cutting fluid, MQL) were performed and the milling forces were measured to calculate the apparent friction coefficients with the mechanistic model. The effects of cutting parameters and cooling/lubrication methods on the apparent friction coefficients were analyzed.

Abstract: Grinding process can be considered as micro-cutting processes with the irregular abrasive grains on the surface of grinding wheel. The grain-workpiece interface directly forms the workpiece surface. Therefore, the study of the grain-workpiece interaction through micro-cutting analysis becomes necessary. But the experiments for single grain cutting are difficult to perform. Aimed at this problem, single grain cutting simulations of AISI D2 steel with a wide range of cutting parameters have been carried out with AdvantEdgeTM in this study. The effect of cutting parameters on cutting force, specific cutting force, material removal rate and critical depth of cut has been analyzed.

Abstract: In this study, orthogonal arrays were applied in the design of the experiments and Ti6Al4V end-milling experiments were performed on the DAEWOO machining center. The white light interferometer was used to obtain the average surface roughness (Ra). A quadratic model was proposed to fit the experimental data of the surface roughness. And the fit model was used to optimize the cutting parameters in the given material removal rate. Finally the verification experiments showed good agreement with the estimated results.

Abstract: AF1410 steel is a kind of high alloy ultrahigh strength steel with perfect hardness, strength and fracture toughness after secondary hardening heat treatment. The distribution of residual stresses affects the fatigue life and stress corrosion resistance of the components in service. Little investigation about the residual stresses on AF1410 steel had been studied previously. The distribution of surface residual stresses on the components should be controlled by the machining process. In this study, two AF1410 workpieces machined by the orthogonal end-milling experiment of AF1410 were performed. The axial depth of cut, cutting speed, feed rate per tooth and radial depth of cut were involved in to the experimental factors. The residual stresses were measured by X-ray diffraction method. The influence of milling factors on distribution of surface residual stresses was studied with range analysis method. The influence sequence of the factors on surface residual stresses were obtained and the optimum value of cutting parameters were selected.

Abstract: In the present study, two-dimensional orthogonal slot milling experiments in conjunction with an analytical-based computer code are used to determine flow stress data as a function of the high strains, strain rates and temperatures encountered in metal cutting. By using this method, the flow stress of Al7050-T7451 is modeled. Through the comparison of cutting forces between FEM and experiment, the FEM model using predicted flow stress can give precise cutting forces. The work of this paper provides a useful method for material constitutive equation modeling without doing large number of cutting experiment or expensive SHPB tests.

Abstract: Surface roughness is an important item to evaluate the surface quality. Many researches focused on the optimization of cutting parameters in the specified cooling/lubrication conditions. But the effect of different cooling/lubrication conditions was still less considered. Aimed at this problem, the effect of cutting parameters on the average surface roughness (Ra) in the different cooling/lubrication conditions, including MQL, wet, dry cutting, was analyzed in this study. Orthogonal arrays were applied in the design of the experiments and Ti6Al4V end-milling experiments were performed on the DAEWOO machining center. The white light interferometer was used to obtain the 3D profile of machined surface and calculate the Ra values. The regression analysis and statistical analysis of variance were employed in the process of the experimental data. The relationships between Ra and cutting parameters in the different cooling/lubrication conditions were obtained and the optimum values of the cutting parameters in the range of the experiments were selected.