Cutting Forces and Power in Machining Shaping of AlCu4MgSi Aluminium Alloy

2019 ◽  
pp. 151-159
Author(s):  
Eugene Feldshtein ◽  
Stanislaw Legutko
Keyword(s):  
Aluminium Alloy ◽  
Cutting Forces

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 ◽  
...  
Keyword(s):  
Fractal Dimension ◽  
Aluminium Alloy ◽  
Cutting Force ◽  
Cutting Forces ◽  
Cutting Speed ◽  
Fractal Dimensions ◽  
Feed Speed ◽  
Machining Parameters ◽  
Cutting Depth ◽  
Main Effect

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.

Fractal Characterization Analysis in CNC Milling Aluminium Alloy

2017 ◽  
Vol 748 ◽  
pp. 212-217 ◽  
Author(s):  
Zheng Mei Zhang ◽  
Bao Liang Xing ◽  
Jing Wang ◽  
Hui Ying Cao ◽  
Shao Hua Li
Keyword(s):  
Fractal Dimension ◽  
Aluminium Alloy ◽  
Cutting Force ◽  
Cutting Forces ◽  
Cutting Speed ◽  
Fractal Dimensions ◽  
Feed Speed ◽  
Machining Parameters ◽  
Cnc Milling ◽  
Cutting Depth

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.

Research on the Machining Behaviors in High Speed Milling Cellular Aluminium Alloy

2012 ◽  
Vol 472-475 ◽  
pp. 1087-1090
Author(s):  
Fa Zhan Yang ◽  
Xin Zhuang ◽  
Wan Hua Zhao ◽  
Yong Yang
Keyword(s):  
Aluminium Alloy ◽  
Cutting Forces ◽  
High Speed ◽  
Cutting Parameters ◽  
Point Of View ◽  
Element Analysis ◽  
Measuring Device ◽  
Tool Wear Mechanisms ◽  
Experimental Cutting ◽  
Cemented Carbide Tools

The purpose of this investigation is to examine the machining behavior of cemented carbide tools in dry hard milling of cellular aluminium alloy (6N01) by experiments and finite-element analysis. From the machining point of view, Cellular aluminium alloy are often considered as poor machinability materials. Milling tests were carried out by using a three-head milling machine and a milling force measuring device. For this purpose, both microscopic and microstructural aspects of the tools were taken into consideration. Meanwhile, the cutting forces and the noise intensity are also considered in the experiment. Results show that cutting forces vary greatly with the experimental cutting parameters. Additionally, the noise field intensity increased greatly as the feed rate increased. Analysis indicated that the major tool wear mechanisms observed in the machining tests involve adhesive wear and abrasion wear.

Tool stiffness influence on the chosen physical parameters of the milling process

2012 ◽  
Vol 60 (3) ◽  
pp. 597-604 ◽  
Author(s):  
W. Zębala
Keyword(s):  
Titanium Alloy ◽  
Aluminium Alloy ◽  
Chip Formation ◽  
Cutting Forces ◽  
Contact Point ◽  
Milling Process ◽  
Cutting Process ◽  
Physical Parameters ◽  
Titanium Alloy Ti6al4v ◽  
The Impact

Abstract This article presents our own model researches, relating to the down milling process of Aluminium alloy (Al6061) and Titanium alloy (Ti6Al4V), with a tool made of sintered carbides. These investigations pay the special attention to the impact of the tool rigidity on the process of chip formation. The simulation calculations have been carried out for two cases of the cutting process: case 1 - assuming an ideally rigid construction of a milling cutter (length of tool does not impact its deflection under the cutting forces); case 2 - it is possible that the tool can be subjected to deflection under the cutting forces (length of a tool part is counted from the holder end to the contact point of a cutting edge with the machining material).

scholarly journals 2D Finite Element Modeling and Analysis of Dry Turning Process of Aeronautic Aluminium Alloy 2024

2018 ◽  
Vol 7 (4.16) ◽  
pp. 37-41
Author(s):  
Hassan Ijaz ◽  
Waqas Saleem ◽  
Muhammad Asad ◽  
Ahmed Alzahrani ◽  
Tarek Mabrouki
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Aluminium Alloy ◽  
Cutting Forces ◽  
Cutting Parameters ◽  
Rake Angle ◽  
Physical Parameters ◽  
Fe Model ◽  
Element Analysis ◽  
Selection Of

The identification and selection of different physical parameters greatly influence the machining of materials. Cutting speed, feed, tool rake angle and friction are important physical parameters that affect the machining of the materials. Selection of suitable cutting parameters can help to achieve the better machining quality and enhanced tool life. Properly defined FE-model can efficiently simulate the machining processes and thus may help to save the machining cost and expensive materials instead of performing real-life experiments. In the present work, a detailed finite element analysis on the orthogonal cutting of aluminium alloy (AA2024) is conducted to validate the FE-based machining model. Numerically obtained resultant cutting forces are successfully compared with the experimental results for 0.3 and 0.4 mm/rev cutting feeds with 17.5° tool rake angle. Subsequently, the cutting forces are predicted for the selected feeds of 0.35 & 0.45 mm/rev and for different tool rake angles like 9.5°, 13.5° & 21.5° using finite element analysis. Finally, the optimum cutting parameters are suggested for cutting AA2024.           

Tool Condition Monitoring in Microturning of Aluminium Alloy Using Multiple Sensors

2014 ◽  
Vol 592-594 ◽  
pp. 796-800
Author(s):  
A. Gopikrishnan ◽  
M. Kanthababu ◽  
R. Balasubramaniam ◽  
Prabhat Ranjan
Keyword(s):  
Tool Wear ◽  
Aluminium Alloy ◽  
Cutting Forces ◽  
Thrust Force ◽  
Tangential Force ◽  
Vibration Signals ◽  
Multiple Sensors ◽  
Morphological Studies ◽  
Tool Condition ◽  
Feed Force

In the present work, an attempt has been made to monitor the tool condition status during microturning of aluminium alloy (AA 6061) using multiple sensors such as cutting force dynamometer, acoustic emission (AE) and accelerometer. The tool wear (nose wear) is correlated with surface roughness (Ra), chip width, thrust force (Fx), tangential force (Fy), feed force (Fz), AERMS and vibration signals. It is observed that Ra, chip width and cutting forces are increased with increase in the tool wear. Among the cutting forces, the tangential force (Fy) is found to be more sensitive to the tool wear status compared to that of the thrust force (Fx) and feed force (Fz). From the signal analysis, it is observed that during machining with good tool condition, the dominant frequency of the AERMS and vibration signals are found to be 81 kHz-110 kHz and 2.07 kHz-3.84 kHz respectively, whereas with the worn out tool the dominant frequencies are shifted to higher levels. Chip morphological studies indicated that favourable type of chips are formed upto 40th minute and unfavourable chips are observed from 41st minute to 60th minute.

The Influence of the Cutting Speed and Feed Rate on the Machinability Ratings in Machining of AISI 1045 Carbon Steel and AlSI1MgMn Aluminium Alloy

2013 ◽  
Vol 436 ◽  
pp. 194-204 ◽  
Author(s):  
Nicoleta Lungu ◽  
Sorin Mihai Croitoru ◽  
Claudiu Florinel Bîșu ◽  
Constantin Dumitraşcu ◽  
Marian Borzan
Keyword(s):  
Finite Element ◽  
Carbon Steel ◽  
Aluminium Alloy ◽  
Finite Element Simulation ◽  
Cutting Forces ◽  
Cutting Speed ◽  
Experimental Tests ◽  
Geometrical Parameters ◽  
Element Simulation ◽  
Aisi 1045

The research presented in this paper refers to the study of the influence of feed and cutting speed on the cutting forces, temperatures and chips formation in turning of AISI 1045 carbon steel and AlSi1MgMN aluminium alloy. This work presents both finite element simulation and experimental tests. Parameters have been considered variable in the process are cutting speed and feed, and depth of cut and tool geometrical parameters were kept constant. The purpose of the experimental procedure it was the acquisition data for cutting forces and temperatures by on-line monitoring, with KISTLER dynamometer for cutting forces and Flyr System ThermaCAM SC640 termography camera for temperatures. Both results obtained by finite element simulation and experimental tests show that the feed increasing lead to increased cutting forces and temperatures. Also, are presented the type of the chip obtained in orthogonal cutting of the two materials.

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