Papers by Keyword: Milling Parameter

Abstract: The dispersion quality is the major concern in nanocomposite development as it determines the homogeneity of the enhanced mechanical and tribological properties of the composite. This work study the morphology of aluminium powder in the CNTs-Al nanocomposite prepared with different weight percentage of CNT in aluminium matrix using powder metallurgy route under high energy planetary ball milling operations at varying time and speed of milling of 2, 3hrs and 250, 300 rpm respectively. The preliminary mixing of CNTs and aluminium powder in a tube via manual shaking and the speed used could be the main contributing factor in achieving uniform dispersion of CNT in aluminium matrix within short time. Evidence of FESEM morphology with significant reduction of milling time confirmed that CNT was homogeneously dispersed and distributed into Al matrix.Key words: Milling parameter, CNT-Al nanocomposite, Homogenous dispersion

Abstract: Thin-walled aluminum alloy parts are widely used in the aviation industry. In order to predict the deformation of milling aluminum alloy 7075-T7451 thin-walled parts, a deformation prediction method based on BP artificial neural network is presented. Firstly, the orthogonal experiment is designed to acquire the experimental data. Secondly, the BP neural network model of deformation prediction based on the experimental data is established. The comparison of the simulated values with the experimental results is performed to validate the proposed model. Lastly, the result shows that the proposed deformation prediction model is reasonable and can be used to predict the milling deformation.

Abstract: In order to reveal the change rule of vibration acceleration during micro-end-milling straight groove, the single-factor and orthogonal experiments are employed to confirm the influence of milling parameters on vibration acceleration. On this basis, the relation equation between milling parameters and vibration accelerations is built. The result show that, the vibration acceleration along the width of groove is bigger than that of feed direction and it will increase rapidly with the improve of cutting speed; the predicted result of vibration acceleration is in good accordance with test result, therefore the relation equation can be used to predict vibration acceleration.

Abstract: Because of its low stiffness and intensity structural features, thin-walled parts affected by milling force, easily produce deformation and vibration among processing. In this paper, by optimizing milling parameters, it can be realized to control the size of the dynamic milling force and the milling state. Then it reaches the purpose to decrease workpiece deformation, and makes processing conditions maintain a stable. It not only reduces deformation caused by the vibration, but also makes thin-walled parts errors meet the tolerance requirements.

Abstract: In order to provide theory basis and experimental evidence for optimizing milling parameters, the cutting force prediction models for milling of Ti6Al4V with uncoated cemented carbide tool were built based on single factor method. The significances of the cutting force prediction models were checked. The effects of milling speed, feed per tooth, milling depth and milling width on cutting forces were also studied. The results show that the built prediction models can be applied effectively to predict the cutting forces in milling of Ti6Al4V in the experiment parameters range. Milling depth has highly obvious influence on cutting forces among these milling parameters. The cutting forces decrease with the milling speed increasing, and increase with feed per tooth, milling depth and milling width.

Abstract: In order to provide theory basis for optimizing high-speed milling parameters, the high-speed milling process of titanium alloy Ti-6Al-4V was modeled using the commercial general purpose machining software package ADVANTEDGE. Effects of milling parameters like milling speed, feed per tooth, milling depth and milling width on cutting force and temperature were analyzed. The results show that cutting forces decrease with milling speed increasing, and increase with feed per tooth, milling depth and milling width, and the influences of feed per tooth, milling depth and milling width on cutting forces are significant. The maximum temperature in the cutting zone located on the rake face at a distance of about 0.02~0.03 mm from the tool tip. As milling speed and feed per tooth increase, the maximum temperature in the cutting area increases. The milling speed has significant impact on cutting temperature, but the milling depth has little impact.

Abstract: This article establishes the multi-target optimization model of numerically-controlled milling parameter and illustrates the optimization design and system realization through modified Genetic Algorithm (GA). This system adopts double-breakpoint crossing and self-adaptive mutation and inverse operator through transgenic technology. It improves its local searching ability and calculation speed.

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 this paper, the modern theory of milling and the optimization technique are applied to the establishment of the mathematical model of face milling to obtain the optimum face milling parameters, in which the highest productivity is the optimizing objective，and many constraints are taking into consideration．The optimization is programmed based on the complex form method and castigatory function method．And a optimization system is established, the system which is composed of optimizing calculation module, special milling parameters database and man-machine interface．And it is programmed by adopting Visual Basic．The NC milling example is optimized，the validity and practicability of optimizing mathematic model is proved，and the base of the optimization of the NC machining process is established．

Abstract: Based on characteristic of stainless steel material, its milling performance is analyzed. Milling force of 1Cr18Ni9Ti stainless steel was obtained with single-factor test of milling depth, line spacing, and feed per tooth on a CNC Milling Machine. An empirical model for the milling force of stainless steel was established by regression. The validity of the model is verified by comparing the model data with the experimental data. The impact of milling parameters on milling force is sorted in order of milling depth, feed per tooth and line space according to the exponents in the model. The conclusions have great help for the milling cutting tool’s design of stainless steel and the selection of milling parameters .