Numerical Investigation of the Derivative Cutting Effect of Micro-Textured Tools in Dry Cutting of Ti6Al4V

2020 ◽  
Vol 977 ◽  
pp. 123-129
Author(s):  
Yu Liu ◽  
Xin Liu ◽  
Lei Li ◽  
Yuan Tian

In this study, FEM simulation of titanium alloy machining with micro-textured tool using Thirdwave AdvantEdge. Micro-scale textures on the rake face of the cutting tool is a single linear groove parallel to the cutting edge. Viewing simulation results ,derivative cutting did occur under the cutting parameters in this study. The tool-chip contact length decreases due to the existence of the micro-textures. Shear angle increases which indicates smaller deformation of the cutting layer and thus smaller cutting forces and cutting temperature. However, the derivative cutting effect increases the variations of the cutting forces. Therefore, strength of the cutting tool must be taken into consideration during the designation of the micro-textured cutting tool.

2014 ◽  
Vol 996 ◽  
pp. 603-608
Author(s):  
Johannes Kümmel ◽  
Jens Gibmeier ◽  
Volker Schulze ◽  
Alexander Wanner

The tool and workpiece surface layer states of the tribosystem uncoated WC-Co cutting tools vs. normalised SAE 1045 workpiece material are studied in detail for a dry metal cutting process. Within the system the cutting parameters (cutting speed, feed rate, cutting depth) determine the wear state of the cutting tool and the resulting surface layer state (residual stress) in the workpiece. As the built-up edge can be used as a possible wear protecting layer [1] the influence of built-up edge and wear behaviour of the cutting tool was examined with respect to the workpiece surface layer state for knowledge based metal cutting processing. Small compressive stresses (-60-80 MPa) are induced in the surface layer, that are nearly homogeneous for the highest built-up edge, which lead to the lowest tool wear in combination with lowest cutting temperature.


2011 ◽  
Vol 223 ◽  
pp. 314-321
Author(s):  
Gaetano M. Pittalà ◽  
Michele Monno

The machining of titanium alloys is critical also because of high temperature reached at the tool nose. The temperature of the cutting tool affects the tool life and, in order to decrease the temperature, cutting speed is reduced. The prediction of temperature can allow designing the cutting process, in terms of cutting parameters, or make the best selection of the cutting tool, with reduced experimental effort. The rheological model is an important issue in the FEM simulation of cutting in order to achieve a good accuracy, In this paper the milling operation will be considered. This is very common in manufacturing and, often, it represents the last operation, determining the final product quality. Cutting forces, measured by dynamometer table, and temperature, measured by infrared camera, have been recorded during milling tests. The infrared camera captures a part of the workpiece close to the cutting edge. First the material model has been set up considering only cutting forces; next, a sensitivity analysis about the material model parameters has been performed in order to assess the influence of temperature in the determination of the material parameters.


Author(s):  
Xiangqin Zhang ◽  
Xueping Zhang ◽  
A. K. Srivastava

To predict the cutting forces and cutting temperatures accurately in high speed dry cutting Ti-6Al-4V alloy, a Finite Element (FE) model is established based on ABAQUS. The tool-chip-work friction coefficients are calculated analytically using the measured cutting forces and chip morphology parameter obtained by conducting the orthogonal (2-D) machining tests. It reveals that the friction coefficients between tool-work are 3∼7 times larger than that between tool-chip, and the friction coefficients of tool-chip-work vary with feed rates. The analysis provides a better reference for the tool-work-chip friction coefficients than that given by literature empirically regardless of machining conditions. The FE model is capable of effectively simulating the high speed dry cutting process of Ti-6Al-4V alloy based on the modified Johnson-Cook model and tool-work-chip friction coefficients obtained analytically. The FE model is further validated in terms of predicted forces and the chip morphology. The predicted cutting force, thrust force and resultant force by the FE model agree well with the experimentally measured forces. The errors in terms of the predicted average value of chip pitch and the distance between chip valley and chip peak are smaller. The FE model further predicts the cutting temperature and residual stresses during high speed dry cutting of Ti-6Al-4V alloy. The maximum tool temperatures exist along the round tool edge, and the residual stress profiles along the machined surface are hook-shaped regardless of machining conditions.


2010 ◽  
Vol 443 ◽  
pp. 382-387 ◽  
Author(s):  
Somkiat Tangjitsitcharoen ◽  
Suthas Ratanakuakangwan

This paper presents the additional work of the previous research in order to verify the previously obtained cutting condition by using the different cutting tool geometries. The effects of the cutting conditions with the dry cutting are monitored to obtain the proper cutting condition for the plain carbon steel with the coated carbide tool based on the consideration of the surface roughness and the tool life. The dynamometer is employed and installed on the turret of CNC turning machine to measure the in-process cutting forces. The in-process cutting forces are used to analyze the cutting temperature, the tool wear and the surface roughness. The experimentally obtained results show that the surface roughness and the tool wear can be well explained by the in-process cutting forces. Referring to the criteria, the experimentally obtained proper cutting condition is the same with the previous research except the rake angle and the tool nose radius.


2020 ◽  
Vol 997 ◽  
pp. 85-92
Author(s):  
Abang Mohammad Nizam Abang Kamaruddin ◽  
Abdullah Yassin ◽  
Shahrol Mohamaddan ◽  
Syaiful Anwar Rajaie ◽  
Muhammad Isyraf Mazlan ◽  
...  

One of the most significant factors in machining process or metal cutting is the cutting tool performance. The rapid wear rate of cutting tools and cutting forces expend due to high cutting temperature is a critical problem to be solved in high-speed machining process, milling. Near-dry machining such as minimum quantity lubrication (MQL) is regarded as one of the solutions to solve this problem. However, the function of MQL in milling process is still uncertain so far which prevents MQL from widely being utilized in this specific machining process. In this paper, the mechanism of cutting tool performance such as tool wear and cutting forces in MQL assisted milling is investigated more comprehensively and the results are compared in three different cutting conditions which is dry cutting, wet cutting (flooding) and MQL. The MQL applicator is constructed from a household grade low-cost 3D printing technique. The chips surface of chips formation in each cutting condition is also observed using Scanning Electron Microscopy (SEM) machine. It is found out that wet cutting (flooding) is the best cutting performance compare to MQL and dry cutting. However, it can also be said that wet cutting and MQL produced almost the same value of tool wear and cutting forces as there is negligible differences in average tool wear and cutting forces between them based on the experiment conducted.


2019 ◽  
Vol 11 (6) ◽  
pp. 168781401985318
Author(s):  
Amon Gasagara ◽  
Wuyin Jin ◽  
Angelique Uwimbabazi

In this article, a new model of regenerative vibrations due to the deflection of the cutting tool in turning is proposed. The previous study reported chatter as a result of cutting a wavy surface of the previous cut. The proposed model takes into account cutting forces as the main factor of tool deflection. A cantilever beam model is used to establish a numerical model of the tool deflection. Three-dimensional finite element method is used to estimate the tool permissible deflection under the action of the cutting load. To analyze the system dynamic behavior, 1-degree-of-freedom model is used. MATLAB is used to compute the system time series from the initial value using fourth-order Runge–Kutta numerical integration. A straight hard turning with minimal fluid application experiment is used to obtain cutting forces under stable and chatter conditions. A single-point cutting tool made from high-speed steel is used for cutting. Experiment results showed that for the cutting parameters above 0.1mm/rev feed and [Formula: see text]mm depth of cut, the system develops fluctuations and higher chatter vibration frequency. Dynamic model vibration results showed that the cutting tool deflection induces chatter vibrations which transit from periodic, quasi-periodic, and chaotic type.


2011 ◽  
Vol 188 ◽  
pp. 38-42
Author(s):  
Dong Dong Wan ◽  
Xu Hong Guo ◽  
Chi Hong Wang

Three different cutting tools (ceramics CC6050, cubic boron nitride CB7025, carbide GC2025) were used for dry cutting of 3 groups of ADI which were heat-treated separately under different quenching temperatures. With the unified cutting parameters, the wear of tool flank of each cutter was studied and the main influencing factors of the wear were analyzed. Results showed that when the cutting parameters ap =0.2mm, f =0.16mm/r, vc =108m/min and the cutting tool was determined, the higher the quenching temperature was the lower the hardness of the test bars were and the tool flank wear was less; When the quenching temperature was determined, the more the produced BUE (build up edge) of the cutting tool was the less the tool flank wear was.


2014 ◽  
Vol 800-801 ◽  
pp. 380-384 ◽  
Author(s):  
Yuan Ma ◽  
Ding Wen Yu ◽  
Ping Fa Feng

Machining induced residual stress is influenced by many factors. Extensive studies on the influence of cutting parameters, tool parameters, as well as basic properties of materials have been carried out during the past decades, while another important factor, initial stress distribution in workpiece, was often ignored. In this paper a relatively complete FEM simulation on the formation mechanism of machining induced residual stress in high speed machining is carried out, illustrating the three stress zones affected by mechanical and thermal loads, and their influence on ultimate residual stress. And the influence of initial compressive stress on stress formation and cutting forces is analyzed. Initial compressive stress weakens the tensile effect caused by the shear deformation, and the residual stress tend to be more compressive with larger initial compressive stress. Cutting force becomes larger with the increase of initial compressive stress. And the results in this FEM study can be used to explain some unaccounted experimental phenomena in former researches.


2015 ◽  
Vol 761 ◽  
pp. 132-136
Author(s):  
Adnan Jameel Abbas ◽  
Mohammad Minhat ◽  
Md Nizam Abd Rahman

. The minimum cost and high productivity of the recent industrial renaissance are its main challengers. Selecting the optimum cutting parameters play a significant role in achieving these aims. Heat generated in the cutting zone area is an important factor affecting workpiece and cutting tool properties. The surface finish quality specifies product success and integrity. In this paper, the temperature generated in the cutting zone (shear zone and chip-tool interface zone) and workpiece surface roughness is optimized using an artificial immune system (AIS) intelligent algorithm. A mild steel type (S45C) workpiece and a tungsten insert cutting tool type (SPG 422) is subjected to dry CNC turning operation are used in experiments. Optimum cutting parameters (cutting velocity, depth of cut, and feed rate) calculated by the (AIS) algorithm are used to obtain the simulated and ideal cutting temperature and surface roughness. An infrared camera type (Flir E60) is used for temperature measurement, and a portable surface roughness device is used for roughness measurement. Experimental results show that the ideal cutting temperature (110°C) and surface roughness (0.49 μm) occur at (0.3 mm) cut depth, (0.06 mm) feed rate, and (60 m/min) cutting velocity. The AIS accuracy rates in finding the ideal cutting temperature and surface roughness are (91.70 %) and (90.37 %) respectively. Analysis shows that the predicted results are close to the experimental ones, indicating that this intelligent system can be used to estimate cutting temperature and surface roughness during the turning operation of mild steel.


2010 ◽  
Vol 34-35 ◽  
pp. 1829-1833 ◽  
Author(s):  
Deng Wan Li ◽  
Hong Tao Chen ◽  
Ming Heng Xu ◽  
Cheng Ming Zhong

In order to explore the cutting rule of hard-to-machine material austenitic stainless steel and to optimize cutting parameters, multiple sets of parameters of austenitic stainless steel cutting were schemed out by using uniform design method. Test cutting researches of cutting forces, surface roughness and cutting efficiency with these parameters were conducted under the condition of dry cutting. On this basis, multi-objective optimization model of cutting force and surface roughness applied to austenitic stainless steel had been set up by multiple regression analysis. Variance analysis showed that these formulas have highly significant linear relationship. Verification test is done under the optimal cutting parameters, and the results of cutting forces and surface roughness are in good agreement with the calculated. Turning efficiency is improved by 23.4%, compared with the actual cutting parameters of past production.


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