scholarly journals Analysis and Experiment of Cutting Mechanical Parameters for Caragana Korshinskii (C.K.) Branches

Forests ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1359
Author(s):  
Yaoyao Gao ◽  
Feng Kang ◽  
Jiangming Kan ◽  
Yutan Wang ◽  
Siyuan Tong
Keyword(s):  
Cutting Force ◽  
Wedge Angle ◽  
Cutting Speed ◽  
Subsequent Development ◽  
Cutting Parameters ◽  
Single Factor ◽  
Test Range ◽  
Cutting Test ◽  
Caragana Korshinskii ◽  
Branch Cutting

In order to investigate the cutting mechanical characteristics of Caragana Korshinskii (C.K.) branches and explore the optimal combination of cutting parameters to support the subsequent equipment development, this paper explores the relationship between branch diameter D, average cutting speed v, wedge angle β, slip cutting angle α, cutting height h, cutting gap t, moisture content M and peak cutting force by using a homemade swing-cut branch cutting test bench with peak cutting force of branches as the target value under unsupported and supported cutting methods, respectively, through single-factor tests. Based on the single-factor test, v, β, α and t were selected as the test factors, and a multi-factor test was conducted with the peak cutting force as the target. Test result: The best combination of unsupported cutting in the range of multi-factor test is v for 3.315 m·s−1, β for 20°, α for 20°, when the peak cutting force is 95.690 N. Supported cutting multi-factor test range to get the best combination of v for 3.36 m·s−1, β for 20°, α for 20°, t for 1.38 mm, when the peak cutting force is 53.082 N. The errors of the predicted peak cutting force and the measured peak cutting force of the obtained model were 1.3% and 3.9%, respectively, which prove that the cutting parameters were optimized reliably. This research can provide a theoretical basis for subsequent development the C.K. harvesting equipment.

Experimental Study on Cutting Forces in Turning Aluminum-Silicon Alloy ZL104

2011 ◽  
Vol 117-119 ◽  
pp. 971-974
Author(s):  
Yue Feng Yuan ◽  
Wen Ying Zhang ◽  
Xing Chang
Keyword(s):  
Cutting Force ◽  
Great Influence ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Carbide Tool ◽  
Single Factor ◽  
Silicon Alloy ◽  
Aluminum Silicon Alloy ◽  
Aluminum Silicon

Cutting force experiments in turning aluminum-silicon alloy ZL104 are carried out with cement carbide tool YG8. The influence of cutting parameters on cutting force is obtained based on single factor experiments. The results indicate that depth of cut and feed rate have great influence on cutting force while cutting speed provides just little impact.

An Experimental Study of Cutting Force on Large Cutting Depth Turning Titanium Alloy with CBN Tool

2014 ◽  
Vol 800-801 ◽  
pp. 237-240
Author(s):  
Li Fu Xu ◽  
Ze Liang Wang ◽  
Shu Tao Huang ◽  
Bao Lin Dai
Keyword(s):  
Experimental Study ◽  
Titanium Alloy ◽  
Cutting Force ◽  
Feed Rate ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Cutting Depth ◽  
Cbn Tool ◽  
Cutting Experiment ◽  
Rough Turning

In this paper, the cutting experiment was used to study the influence of various cutting parameters on cutting force when rough turning titanium alloy (TC4) with the whole CBN tool. The results indicate that among the cutting speed, feed rate and cutting depth, the influence of the cutting depth is the most significant on cutting force; the next is the feed rate and the cutting speed is at least.

Effects of Cutting Parameters on Residual Stresses in High-Speed Milling of Ti-17

2013 ◽  
Vol 834-836 ◽  
pp. 861-865 ◽  
Author(s):  
Yong Shou Liang ◽  
Jun Xue Ren ◽  
Yuan Feng Luo ◽  
Ding Hua Zhang
Keyword(s):  
Experimental Study ◽  
Residual Stresses ◽  
High Speed ◽  
Experimental Parameter ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Single Factor ◽  
Cutting Depth ◽  
High Speed Milling ◽  
Parameter Ranges

An experimental study was conducted to determine cutting parameters of high-speed milling of Ti-17 according to their effects on residual stresses. First, three groups of single factor experiments were carried out to reveal the effects of cutting parameters on residual stresses. Then sensitivity models were established to evaluate the influence degrees of cutting parameters on residual stresses. After that, three criteria were proposed to determine cutting parameters from experimental parameter ranges. In the experiments, the cutting parameter ranges are recommended as [371.8, 406.8] m/min, [0.363, 0.412] mm and [0, 0.018] mm/z for cutting speed, cutting depth and feed per tooth, respectively.

Statistical Study and Multi-Response Optimization of Cutting Parameters for Dry Turning Stainless Steel AISI 316L Using Cermet Tool

2020 ◽  
Vol 36 ◽  
pp. 28-46
Author(s):  
Youssef Touggui ◽  
Salim Belhadi ◽  
Salah Eddine Mechraoui ◽  
Mohamed Athmane Yallese ◽  
Mustapha Temmar
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Feed Rate ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Aisi 316L ◽  
Cutting Power ◽  
Dry Turning ◽  
Optimization Of Cutting Parameters

Stainless steels have gained much attention to be an alternative solution for many manufacturing industries due to their high mechanical properties and corrosion resistance. However, owing to their high ductility, their low thermal conductivity and high tendency to work hardening, these materials are classed as materials difficult to machine. Therefore, the main aim of the study was to examine the effect of cutting parameters such as cutting speed, feed rate and depth of cut on the response parameters including surface roughness (Ra), tangential cutting force (Fz) and cutting power (Pc) during dry turning of AISI 316L using TiCN-TiN PVD cermet tool. As a methodology, the Taguchi L27 orthogonal array parameter design and response surface methodology (RSM)) have been used. Statistical analysis revealed feed rate affected for surface roughness (79.61%) and depth of cut impacted for tangential cutting force and cutting power (62.12% and 35.68%), respectively. According to optimization analysis based on desirability function (DF), cutting speed of 212.837 m/min, 0.08 mm/rev feed rate and 0.1 mm depth of cut were determined to acquire high machined part quality

Cutting Force Empirical Model of High-Speed Precision Hard Cutting GCr15

2009 ◽  
Vol 69-70 ◽  
pp. 301-305
Author(s):  
Jing Shu Hu ◽  
Yuan Sheng Zhai ◽  
Fu Gang Yan ◽  
Yu Fu Li ◽  
Xian Li Liu
Keyword(s):  
Cutting Force ◽  
Empirical Model ◽  
High Speed ◽  
Orthogonal Design ◽  
Cutting Speed ◽  
Least Square Method ◽  
Cutting Parameters ◽  
Least Square ◽  
Physical Parameters ◽  
Hard Cutting

In the cutting process, cutting force is one of the important physical parameters, which affects the generation of cutting heat, tool life and surface precision of workpiece directly. In this paper an orthogonal design of experiment and subsequent data is analyzed using high speed finish hard cutting GCr15 whose hardness is 65HRC. Cutting speed is 200-400m/min, to study the influence of cutting parameters on cutting force, cutting force empirical model has obtained from least square method.

Statistical Cutting Force Model for Orthogonal Cutting of Polytetrafluoroethylene (PTFE) Composites

2013 ◽  
Author(s):  
Felicia Stan ◽  
Daniel Vlad ◽  
Catalin Fetecau
Keyword(s):  
Friction Coefficient ◽  
Cutting Force ◽  
Feed Rate ◽  
Normal Force ◽  
Polynomial Regression ◽  
Orthogonal Cutting ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Tool Geometry ◽  
Force Model

This paper presents an experimental investigation of the cutting forces response during the orthogonal cutting of polytetrafluoroethylene (PTFE) and PTFE-based composites using the Taguchi method. Cutting experiments were conducted using the L27 orthogonal array and the effects of the cutting parameters (feed rate, cutting speed and rake angle) on the cutting force were analyzed using the S/N ratio response and the analysis of variance (ANOVA). Statistical models that correlate the cutting force with process variables were developed using ANOVA and polynomial regression. The variation of the apparent friction coefficient was analyzed with respect to tool geometry and the cutting process. The results indicated that cutting and thrust forces increase with increasing feed rate, and decrease with increasing rake angles from negative to positive values and increasing cutting speed. A power law relationship between the apparent friction coefficient and the normal force exerted by the chip on the tool-rake face was identified, the former decreasing with an increasing normal force.

The Study of Bone Cutting Force with FEM

2014 ◽  
Vol 974 ◽  
pp. 389-393 ◽  
Author(s):  
Sen Liu ◽  
Dong Mei Wu ◽  
Jun Zhao
Keyword(s):  
Finite Element ◽  
Cutting Force ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Element Model ◽  
Cutting Surface ◽  
On Line ◽  
Force Velocity ◽  
Optimization Of Cutting Parameters

In orthopedic surgery, it is easy to do harm to surrounding tissues, so the study of bone cutting is necessary. In this article, a finite element model (FEM) of orthogonal bone cutting is developed. Cutting force intra-operatively can provide the surgeon with additional on-line information to support him to control quality of cutting surface. The obtained cutting force decreased little with cutting speed increasing, but ascended evidently with cutting depth increasing. The results of finite element simulations are aimed at providing optimization of cutting parameters and the basic information for hybrid force-velocity control of a robot-assisted bone milling system.

Cutting Performance and Failure Mechanisms of Coated Carbide Tools in Face Milling Powder Metallurgy Nickel-Based Superalloy

2012 ◽  
Vol 497 ◽  
pp. 94-98
Author(s):  
Yang Qiao ◽  
Xiu Li Fu ◽  
Xue Feng Yang
Keyword(s):  
Cutting Force ◽  
Feed Rate ◽  
Failure Mechanisms ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Face Milling ◽  
Nickel Based Superalloy ◽  
Coated Carbide ◽  
Coated Carbide Tools

Powder metallurgy (PM) nickel-based superalloy is regarded as one of the most important aerospace industry materials, which has been widely used in advanced turbo-engines. This work presents an orthogonal design experiments to study the cutting force and cutting temperature variations in the face milling of PM nickel-based superalloy with PVD coated carbide tools. Experimental results show that with the increase of feed rate and depth of cut, there is a growing tendency in cutting force, with the increase of cutting speed, cutting force decreases. Among the cutting parameters, feed rate has the greatest influence on cutting force, especially when cutting speed exceeds 60m/min. With the increase of all the cutting parameters, cutting temperature increases. However the cutting temperature increases slightly as the increasing of feed rate. Tool failure mechanisms in face milling of PM nickel-based superalloy are analyzed. It is shown that the breakage and spalling on the cutting edge are the most dominate failure mechanisms, which dominates the deterioration and final failure of the coated carbide tools.

scholarly journals Trochoidal Milling and Neural Networks Simulation of Magnesium Alloys

Materials ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2070 ◽  
Author(s):  
Ireneusz Zagórski ◽  
Monika Kulisz ◽  
Mariusz Kłonica ◽  
Jakub Matuszak
Keyword(s):  
Neural Networks ◽  
Cutting Force ◽  
Magnesium Alloys ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Milling Process ◽  
Machining Parameters ◽  
Cutting Force Components ◽  
Multilayered Perceptron ◽  
Force Components

This paper set out to investigate the effect of cutting speed vc and trochoidal step str modification on selected machinability parameters (the cutting force components and vibration). In addition, for a more detailed analysis, selected surface roughness parameters were investigated. The research was carried out for two grades of magnesium alloys—AZ91D and AZ31—and aimed to determine stable machining parameters and to investigate the dynamics of the milling process, i.e., the resulting change in the cutting force components and in vibration. The tests were performed for the specified range of cutting parameters: vc = 400–1200 m/min and str = 5–30%. The results demonstrate a significant effect of cutting data modification on the parameter under scrutiny—the increase in vc resulted in the reduction of the cutting force components and the displacement and level of vibration recorded in tests. Selected cutting parameters were modelled by means of Statistica Artificial Neural Networks (Radial Basis Function and Multilayered Perceptron), which, furthermore, confirmed the suitability of neural networks as a tool for prediction of the cutting force and vibration in milling of magnesium alloys.

Research on the Cutting Fluid Effect on Cutting Force and Surface Roughness in Rotor Milling

2012 ◽  
Vol 723 ◽  
pp. 50-55
Author(s):  
Jian Lu Wang ◽  
Liang Liang Wu ◽  
Jun Zhang ◽  
Wan Hua Zhao ◽  
Yi Fei Jiang ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Design Method ◽  
Uniform Design ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Cutting Fluid ◽  
Cutting Depth ◽  
Multivariable Regression ◽  
Uniform Design Method

A series of milling experiments with and without cutting fluid, arranged by uniform design method, were carried out on rotor material. The influence of cutting fluid on cutting force and surface roughness was explored and compared for the two kinds of conditions. The associated model was established between cutting force & surface roughness and cutting parameters according to the linear multivariable regression method. The results show that the cutting force deceases with the increase of the cutting speed or with the decrease of the feed per tooth and the cutting depth. Cutting fluid has little effect on cutting force, and for surface roughness, the influence of cutting fluid is uncertain.

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