Study on Fractal Characterization Laws of Cutting Force in CNC Turning Aeronautic Aluminium Alloy 7075-T651

2017 ◽  
Vol 748 ◽  
pp. 224-228 ◽  
Author(s):  
Bao Liang Xing ◽  
Jing Wang ◽  
Hui Ying Cao ◽  
Shu Zhong Zhang ◽  
Wei Wei ◽  
...  

Based on the experiment of turning aluminium alloy (7075-T651), the relations between the fractal dimensions of cutting forces with machining parameters are studied. Cutting speed, feed speed and cutting depth are considered as the process parameters. The cutting force in turning aluminium alloy operation are measured and the fractal dimension are calculated using the algorithm of correlation dimension. From main effect plots the fractal dimensions of three directions of cutting forces are reduced with the increase of cutting speed, increased with the increase of cutting depth and insignificant with the increase of feed speed. The mathematic models of fractal dimension of cutting force are developed using response surface methodology (RSM). The results of the ANOVA show that cutting speed and cutting depth have remarkable influence to fractal dimension Dx, Dy and Dz.

2017 ◽  
Vol 748 ◽  
pp. 212-217 ◽  
Author(s):  
Zheng Mei Zhang ◽  
Bao Liang Xing ◽  
Jing Wang ◽  
Hui Ying Cao ◽  
Shao Hua Li

Based on the experiment of milling aluminium alloy (7075-T651), the relations between the fractal dimensions of cutting forces with machining parameters are studied. Cutting speed, feed speed and cutting depth are considered as the process parameters. The cutting force in milling aluminium alloy operation are measured and the fractal dimension are calculated using the algorithm of correlation dimension. From main effect plots the fractal dimensions of three directions of cutting forces are reduced with the increase of cutting speed and increased with the increase of feed speed and cutting depth. The mathematic models of fractal dimension of cutting force are developed using response surface methodology (RSM). The results of the ANOVA show that feed speed and cutting depth have remarkable influence to fractal dimension Dx and Dy, cutting speed and feed speed for Dz.


2013 ◽  
Vol 797 ◽  
pp. 214-219
Author(s):  
Jin Sheng Zhang ◽  
Zheng Mei Zhang ◽  
Ming Wei Ding ◽  
Huai Chao Wang ◽  
Zhi Wang

Based on orthogonal experiment of machining the irregular surface of Wulian red granite (G3768) with diamond profiling wheel, the relations between the fractal dimensions of cutting forces with machining parameters are studied. Cutting speed, feed speed and cutting depth are considered as the process parameters. The cutting force in machining granite operation are measured and the fractal dimension are calculated using using the algorithm of correlation dimension. From main effect plots the fractal dimensions of three directions of cutting forces are reduced with the increase of cutting speed and increased with the increase of feed speed and cutting depth. The mathematic models of fractal dimension of cutting force are developed by analysis of regression. The results of the ANOVA show that cutting speed and feed speed have remarkable influence to fractal dimensionDx,DyandDz.


2013 ◽  
Vol 652-654 ◽  
pp. 2191-2195 ◽  
Author(s):  
Zheng Mei Zhang ◽  
Hai Wen Xiao ◽  
Gui Zhen Wang ◽  
Shu Zhong Zhang ◽  
Shu Qin Zhang

Based on experiment of sawing Wulian red granite with diamond circular saw, the relations between the cutting force with machining parameters are studied. Cutting speed, feed rate and cutting depth are considered as the process parameters. The cutting force in sawing granite operation are measured and the experimental results are then analyzed using response surface methodology. From the analysis, it is seen that the cutting force Fx , Fy and Fz are reduced with the increase of cutting speed and increased with the increase of feed rate and cutting depth, and the mathematical models of the cutting force are developed. By ANOVA for the cutting force models, It is concluded that the models are significant at 95% confidence level and the significant effects are the first-order of cutting speed, feed speed, cutting depth and the quadratic of cutting depth.


2021 ◽  
Author(s):  
Jiabin Liang ◽  
Li Jiao ◽  
Pei Yan ◽  
Minghui Cheng ◽  
Tianyang Qiu ◽  
...  

Abstract There are a lot of problems exist in the processing of long and thin deep hole gun drilling of high strength steel, such as insufficient of the machining mechanism and characteristics of gun drilling, difficulty in selecting machining parameters, unknown influence mechanism of machining parameters on drilling force, drilling temperature and machining quality. In this paper, 42CrMo high strength steel is selected as the workpiece material. A numerical model of cutting force is established based on the mechanism of gun drill, and then the finite element simulation and processing test are carried out. The results show that the cutting force decreases with the increase of cutting speed, and increases with the increase of feed speed; the error between the theoretical and actual value is less than 10%. Cutting speed and feed speed have a great influence on machining quality, and the cutting fluid pressure mainly affects the surface roughness.


2014 ◽  
Vol 494-495 ◽  
pp. 602-605
Author(s):  
Zeng Hui An ◽  
Xiu Li Fu ◽  
Ya Nan Pan ◽  
Ai Jun Tang

Cutting forces is one of the important physical phenomena in metal cutting process. It directly affects the surface quality of machining, tool life and cutting stability. The orthogonal experiments of cutting forces and influence factors with indexable and solid end mill were accomplished and the predictive model of milling force was established during high speed end milling 7050-T7451 aluminum alloy. The paper makes research mainly on the influence which the cutting speed, cutting depth and feed have on the cutting force. The experimental results of single factor showed that the cutting forces increase earlier and drop later with the increase of cutting speed, and the cutting speed of inflexion for 7050-T7451 is 1100m/min. As axial cutting depth, radial cutting depth and feed rate increase, the cutting force grows in different degree. The cutting force is particularly sensitive to axial cutting depth and slightly to the radial cutting depth.


Author(s):  
M. Sobron Yamin Lubis ◽  
Abrar Riza ◽  
Dani Putra Agung

Aluminum Alloy metal is widely used in making lightweight construction on machinery. To produce a flat metal alluminium alloy surface, a shearing machine is needed. There are two types of aluminum materials that are commonly used, namely Aluminum 6061 and 7075. In the process of forming metals using a scrap machine, it is important to determine the machining parameters because this is closely related to the surface conditions of the workpiece produced. Difficulties in determining the appropriate combination of machining parameters often result in work surface conditions that are not as expected or have a high roughness. With the right parameters, the quality of surface roughness can be predicted as planned before the machining process. The cutting parameters are cutting speed and cutting depth. In this study the cutting speed used varied, namely 4.68 m / min, 7.30 m / min, 11.70 m / min, 18.29 m / min with a cutting depth of 0.50 mm, 1.00 mm and 1 , 50 mm, to cut aluminum 6061 and 7075 using the HSS chisel. In the initial step, do the machine tool settings, place the chisel on the chisel holder, place the workpiece in vise, adjust the cutting speed, depth of feed, and perform machining. After machining, a surface roughness measurement is carried out using a surface test. From the results of the study it was found that the value of surface roughness is directly proportional to the depth of cut. The value of surface roughness is inversely proportional to cutting speed and hardness of the material. Determination of cutting speed through empirical equations based on surface roughness: aluminum alloy 6061 is: Ra = 23,366e-0,146Vc (µm) and aluminum alloy 7075 are: Ra = 13,482e-0.109Vc (µm). ABSTRAK Bahan logam aluminium Alloy banyak digunakan dalam pembuatan konstruksi ringan pada mesin-mesin. Untuk menghasilkan permukaan logam alluminium alloy yang rata, maka diperlukan mesin sekrap. Terdapat dua jenis material aluminium yang umum digunakan yaitu Aluminium 6061 dan 7075. Pada proses pembentukan logam dengan menggunakan mesin sekrap, adalah penting untuk menentukan parameter pemesinan  Karena hal ini berkaitan erat dengan kondisi permukaan benda kerja yang dihasilkan. Kesulitan dalam menentukan kombinasi parameter pemesinan yang sesuai seringkali mengakibatkan kondisi permukaan benda kerja kerja yang tidak sesuai diharapkan atau memiliki kekasaran yang tinggi. Dengan parameter yang tepat, kualitas kekasaran permukaan dapat diprediksi seperti yang direncanakan sebelum proses pemesinan. Parameter pemotongan tersebut adalah kecepatan pemotongan dan kedalaman potong. Pada penelitian ini kecepatan pemotongan yang digunakan bervariasi yaitu 4,68 m/min,7,30 m/min, 11,70 m/min,18,29 m/min dengan kedalaman pemotongan 0,50 mm,1,00 mm dan 1,50 mm, untuk memotong aluminum  6061 dan 7075 dengan menggunakan mata pahat HSS.. Pada langkah awali dilakukan setting mesin perkakas, meletakkan mata pahat pada pemegang mata pahat, meletakkan benda kerja pada ragum, melakukan settingg untuk kecepatan pemotongan, kedalaman pemakanan, dan melakukan pemesinan. Setiap kali selesai pemesinan, dilakukan pengukuran kekasaran permukaan dengan menggunakan alat ukur surface test. Dari hasil penelitian diperoleh bahwa nilai kekasaran permukaan berbanding lurus dengan kedalaman potong. Nilai kekasaran permukaan berbanding terbalik dengan kecepatan potong dan kekerasan material. Penentuan kecepatan potong melalui  persamaan empiris  berdasarkan kekasaran permukaan:  aluminium alloy 6061 adalah:  Ra = 23.366e-0.146Vc(µm) dan aluminium alloy 7075 adalah:  Ra = 13.482e-0.109Vc(µm).


2020 ◽  
Vol 16 (2) ◽  
pp. 34-46
Author(s):  
Marwa Qasim Ibraheem

        Cutting forces are important factors for determining machine serviceability and product quality. Factors such as speed feed, depth of cut and tool noise radius affect on surface roughness and cutting forces in turning operation. The artificial neural network model was used to predict cutting forces with related to inputs including cutting speed (m/min), feed rate (mm/rev), depth of cut (mm) and work piece hardness (Map). The outputs of the ANN model are the machined cutting force parameters, the neural network showed that all (outputs) of all components of the processing force cutting force FT (N), feed force FA (N) and radial force FR (N) perfect accordance with the experimental data. Twenty-five samples of experimental data were used, including nineteen to train the network. Moreover six other experimental tests were implemented to test the network. The study concludes that ANN was a dependable and precise method for predicting machining parameters in CNC turning operation.


2010 ◽  
Vol 458 ◽  
pp. 149-154 ◽  
Author(s):  
Zhen Chao Yang ◽  
Ding Hua Zhang ◽  
Xin Chun Huang ◽  
Chang Feng Yao ◽  
Yong Shou Liang ◽  
...  

Finite element method (FEM) is a powerful tool to predict cutting process variables such as temperature field which are difficult to be obtained from experimental methods. The turning process of Inconel 718 is simulated by AdvantEdge which is professional metal-cutting processing finite element software. The effects of cutting speed, feed and cutting depth on cutting force and temperature field are analyzed. The results show that cutting forces decrease with cutting speed increasing, and increase with feed and cutting depth, and the influence of cutting depth on cutting forces is significant. The maximum temperature in the cutting zone located on the rake face at a distance of about 0.01 mm from the tool tip. As cutting speed and feed increase, the maximum temperature in the cutting area increases. The influence of cutting speed on cutting temperature is significant, but the cutting depth has little impact on temperature.


2016 ◽  
Vol 836-837 ◽  
pp. 168-174 ◽  
Author(s):  
Ying Fei Ge ◽  
Hai Xiang Huan ◽  
Jiu Hua Xu

High-speed milling tests were performed on vol. (5%-8%) TiCp/TC4 composite in the speed range of 50-250 m/min using PCD tools to nvestigate the cutting temperature and the cutting forces. The results showed that radial depth of cut and cutting speed were the two significant influences that affected the cutting forces based on the Taguchi prediction. Increasing radial depth of cut and feed rate will increase the cutting force while increasing cutting speed will decrease the cutting force. Cutting force increased less than 5% when the reinforcement volume fraction in the composites increased from 0% to 8%. Radial depth of cut was the only significant influence factor on the cutting temperature. Cutting temperature increased with the increasing radial depth of cut, feed rate or cutting speed. The cutting temperature for the titanium composites was 40-90 °C higher than that for the TC4 matrix. However, the cutting temperature decreased by 4% when the reinforcement's volume fraction increased from 5% to 8%.


2014 ◽  
Vol 800-801 ◽  
pp. 237-240
Author(s):  
Li Fu Xu ◽  
Ze Liang Wang ◽  
Shu Tao Huang ◽  
Bao Lin Dai

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.


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