Transient Dynamic Analysis of the Matching of Lengthened Shrink-Fit Holder and Cutter in High-Speed Milling

Finite element model of the matching of lengthened shrink-fit holder (LSFH) and cutting tool is established and a milling force model is developed to predict the transient milling force exactly using back propagation neural network (BPNN). Subsequently, the transient dynamic characteristic of matching of LSFH and cutting tool is analyzed and the simulation result is obtained. Finally, the simulation result is verified with practical measurement and the results fit very well. The studies are important to optimum design and select the lengthened shrink-fit holder in high speed milling.

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Milling Force Forecast of the Matching of Lengthened Shrink-Fit Holder and Cutter in High Speed Machining

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.139-141.827 ◽

2010 ◽

Vol 139-141 ◽

pp. 827-830

Author(s):

Hou Ming Zhou ◽

Jian Xin Deng ◽

Wen Wei Xie

Keyword(s):

High Speed ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Force Model ◽

Milling Force ◽

Matlab Program ◽

Force Components ◽

Shrink Fit ◽

Milling Forces ◽

Milling Force Model

Present work of this paper focus on developing a milling force model according to the characteristic of the matching of lengthened shrink-fit holder (LSFH) and cutter using back propagation neural network (BPNN). Time parameter is taken as a factor of the input vector besides 6 processing conditions which mainly affect the milling force, and then the forecasting of 3D transient milling forces are achieved. A lot of milling experiments were performed to get training and testing samples and a Matlab program was designed to evaluate and optimize the network. The test experiments show that the forecasting results are well agreed with the experimental results and the errors of 3D force components are less than 0.18. Besides an extended performance, the BPNN model has higher efficiency and higher accuracy than the customary analytical model.

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Experimental Study and Modeling of Milling Force during High-Speed Milling of SiCp/Al Composites Using Regression Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.188.3 ◽

2011 ◽

Vol 188 ◽

pp. 3-8

Author(s):

Shu Tao Huang ◽

X.L. Yu ◽

Li Zhou

Keyword(s):

Regression Analysis ◽

Feed Rate ◽

High Speed ◽

Volume Fraction ◽

Linear Regression Analysis ◽

Force Model ◽

Milling Force ◽

High Speed Milling ◽

Milling Forces ◽

Milling Force Model

SiCp/Al composites with high volume fraction and large particles are very difficult to machine. In this present study, high-speed milling experiments were carried out on the SiCp/Al composites by the three factors-levels orthogonal experiment method, and multiple linear regression analysis was employed to establish milling force model. The results show that the milling forces decrease with the increasing of the milling speed or increase with the increasing of the feed rate and depth of milling. The influence of milling depth on the milling forces in directions of x, y is the most significant, while the influence of the feed rate on the z-milling forces are the most significant. The calculation values from the milling force model are consistent with the experimental values. The results will provide a reliable theoretical guidance for milling of SiCp/Al composites, and it is feasible to predict the milling force during the milling of SiCp/Al by using this model.

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A Mechanistic Force Model of the 5-Axis Milling Process

10.1115/imece2000-1906 ◽

2000 ◽

Author(s):

Paul A. Clayton ◽

Mohamed A. Elbestawi ◽

Tahany El-Wardany ◽

Dan Viens

Keyword(s):

High Speed ◽

Mechanistic Model ◽

Back Propagation ◽

High Speed Steel ◽

Cutting Edge ◽

Analytic Description ◽

Force Model ◽

Force Output ◽

Five Axis ◽

Milling Force Model

Abstract This paper presents a five-axis milling force model that can incorporate a variety of cutters and workpiece materials. The mechanistic model uses a discretized cutting edge to calculate an area of intersection which is multiplied by the specific cutting pressure to produce a force output along the primary cartesian coordinate system. By using an analytic description of the cutting edge with a non-specific cutter and workpiece intersection routine, a model was created that can describe a variety of cutting situations. Furthermore, a back propagation neural network is used to calibrate the model, providing robustness and scalability to the calibration process. Testing was performed on 1020 steel using various cutting parameters with a high speed steel two flute cutter and a tungsten carbide insert cutter. Furthermore, both linear cuts and a test die surface yielded good agreement between predicted and measured results.

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DYNAMIC ANALYSIS OF THE LENGTHENED SHRINK-FIT HOLDER AND CUTTING TOOL SYSTEM IN HIGH-SPEED MILLING

Machining Science and Technology ◽

10.1080/10910344.2012.673956 ◽

2012 ◽

Vol 16 (2) ◽

pp. 157-172 ◽

Cited By ~ 4

Author(s):

Houming Zhou ◽

Chengyong Wang ◽

Dewen Tang ◽

Ruitao Peng

Keyword(s):

Dynamic Analysis ◽

High Speed ◽

Cutting Tool ◽

High Speed Milling ◽

Shrink Fit

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Cutting Force Prediction of Stainless Steel in High-Speed Milling

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.538-541.1369 ◽

2012 ◽

Vol 538-541 ◽

pp. 1369-1372

Author(s):

Xiao Zheng Xie ◽

Yun Ping Yao ◽

Rong Zhen Zhao ◽

Wu Yin Jin

Keyword(s):

Cutting Force ◽

High Speed ◽

Productive Efficiency ◽

Experimental Result ◽

Force Model ◽

Cutting Force Prediction ◽

High Speed Milling ◽

Geometry Model ◽

Milling Force Model ◽

Process Material

According to the components, mechanical properties of difficult-to-process material (26NiCrMoV145)as well as characteristics of high-speed machining, modelling and prediction of cutting force in high-speed milling is studied. Based on geometry model of ball end mill edge line, milling force model of helical ball milling cutter is established by theoretical analysis and empirical coefficient. Then, simulation prediction of cutting forece is conducted under different circumstances. The experimental result shows that the predicted cutting force is consistent with experimental data and the established model is reasonable. The article contributes to the milling of difficult-to-process material, which improves security and productive efficiency in processing.

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Experiment Research of Milling Force in High Machining GH4169 Based on MatLab

Materials Science Forum ◽

10.4028/www.scientific.net/msf.800-801.232 ◽

2014 ◽

Vol 800-801 ◽

pp. 232-236 ◽

Cited By ~ 1

Author(s):

Can Zhao ◽

Wang Xi ◽

Yu Bo Liu ◽

Zi Biao Wang ◽

Yang Yang Shi

Keyword(s):

Experimental Data ◽

High Speed ◽

Cutting Tool ◽

Experiment Research ◽

Milling Force ◽

High Speed Milling ◽

Ceramic Cutting Tool ◽

Milling Parameters ◽

Super Alloy

Consider to the properties of Super Alloy GH4169, planning the milling experiment with ceramic cutting tool, which is aimed at studying the milling force of different parameters in each direction based on the software of Labview and KISTLER three-component dynamometer. Then the milling force experience formula was established by MatLab, which offered the theoretic reference to the studies of high speed milling super alloy GH4169 through the analysis and studies of the milling parameters based on the experimental data.

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