The Experts below are selected from a list of 3696 Experts worldwide ranked by ideXlab platform
Franck Girot - One of the best experts on this subject based on the ideXlab platform.
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a new material model for 2d numerical simulation of serrated chip formation when Machining Titanium Alloy ti 6al 4v
International Journal of Machine Tools & Manufacture, 2008Co-Authors: Madalina Calamaz, Dominique Coupard, Franck GirotAbstract:Abstract A new material constitutive law is implemented in a 2D finite element model to analyse the chip formation and shear localisation when Machining Titanium Alloys. The numerical simulations use a commercial finite element software (FORGE 2005®) able to solve complex thermo-mechanical problems. One of the main Machining characteristics of Titanium Alloys is to produce segmented chips for a wide range of cutting speeds and feeds. The present study assumes that the chip segmentation is only induced by adiabatic shear banding, without material failure in the primary shear zone. The new developed model takes into account the influence of strain, strain rate and temperature on the flow stress and also introduces a strain softening effect. The tool chip friction is managed by a combined Coulomb–Tresca friction law. The influence of two different strain softening levels and Machining parameters on the cutting forces and chip morphology has been studied. Chip morphology, cutting and feed forces predicted by numerical simulations are compared with experimental results.
Dong Liu - One of the best experts on this subject based on the ideXlab platform.
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Simulation of Cutting Temperature Distribution while Machining Titanium Alloy TC4
DEStech Transactions on Engineering and Technology Research, 2017Co-Authors: Dong Liu, Run-yi Liu, Fang WangAbstract:Titanium Alloys are widely used in aerospace industry due to their excellent mechanical properties. Because of their low thermal conductivity, high chemical activity, large friction coefficient and so on, such problems occur during the cutting process as high cutting temperature, large specific cutting force and serious tool wear, leading to low Machining efficiency. The Titanium Alloys classified as difficult Machining materials. The finite element method is the new method to study the Machining process. The FEM method was used to simulate the cutting temperature distribution while Machining Titanium Alloy TC4. The temperature distribution of cutting tool and workpiece-chip were simulated and the simulation results were analyzed.
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Study on the Cutting Temperature of Serrated Chip while Machining Titanium Alloy TC4
DEStech Transactions on Materials Science and Engineering, 2017Co-Authors: Dong LiuAbstract:The Machining of Titanium Alloys classified as difficult Machining materials. It is a major problem how to improve the Machining efficiency of Titanium Alloys. Such problems occur during the cutting process as high cutting temperature; large specific cutting force and serious tool wear, leading to low Machining efficiency. The finite element method is the new method to study the Machining process. The FEM and experimental method were used to simulate the cutting temperature of serrated chip while Machining Titanium Alloy TC4. The simulated results were compared with the experimental results. The compared results indicated that the cutting temperature of serrated chip can be simulated by the simulation model well.
T. Muthuramalingam - One of the best experts on this subject based on the ideXlab platform.
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effect of diluted dielectric medium on spark energy in green edm process using tgra approach
Journal of Cleaner Production, 2019Co-Authors: T. MuthuramalingamAbstract:Abstract In the present situation, it is very important for modifying any manufacturing process into eco friendly process to reduce the environmental pollutants and hazardous substances. In electrical discharge Machining process, the dielectric breakdown of insulating medium causes on liberating the toxic gases from the Machining zone. In the present study, a research endeavor was performed to analyze the influence of process parameters with normal tap water mixed deionized water as insulating medium. It has been inferred that proposed dielectric medium can provide considerable machinability while Machining Titanium Alloy. The optimum combination has also been found using Taguchi Grey-relational approach to achieve better multiple response parameters in the proposed eco friendly electrical discharge Machining process. However, the material removal mechanism with proposed dielectric medium in EDM process may be affected due to stochastic and higher electrical conductivity of the insulating medium.
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Taguchi-Grey computation methodology for optimum multiple performance measures on Machining Titanium Alloy in WEDM process
2015Co-Authors: A. Ramamurthy, R. Sivaramakrishnan, T. MuthuramalingamAbstract:Since the wire electrical discharge Machining (WEDM) process involves with more than one performance measures, conventional Taguchi design of experiments alone is not helpful to identify the optimal combination of input process parameters. Titanium Alloy (Ti-6Al-4V) is being mostly utilized in the many manufacturing fields owing to its prominent characteristics. In the present study, an endeavor has been made to compute the optimum input process parameters such as pulse on time, pulse off time, servo voltage and wire tension and wire electrodes on Machining Titanium Alloy using WEDM process. Material removal rate, surface roughness and kerf width have been taken as the performance measures to access the machinability. L27 orthogonal array has been selected for conducting the Machining experiments. From the experimental results, it has been found that pulse off time has most significant nature among process parameters on multiple performances involved in WEDM process owing to its significant nature in deionization of the spark plasma column. The optimal combination of input process parameters of the WEDM process for achieving better machinability has been computed such as pulse on time (130 µs), pulse off time (50 µs), servo voltage (40V), wire tension (5kg), wire electrode type (zinc coated brass wire electrode) among the considered process variables using Taguchi-Grey relational approach.
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Surface quality measures analysis and optimization on Machining Titanium Alloy using CO2 based laser beam drilling process
Journal of Manufacturing Processes, 1Co-Authors: T. Muthuramalingam, Ravi Akash, Shravan Krishnan, Nguyen Huu Phan, Ammar H. ElsheikhAbstract:Abstract Laser beam assisted Machining process is widely utilized to cut high strength engineering materials. It is very important to enhance the process mechanism in such process for improving the surface quality measures. In the present study, an endeavor was made to analyze the effects of process parameters on surface performance measures while Machining Titanium Alloy using Taguchi-Grey relational approach. It has been found that laser power has the high influent nature on determining the quality measures on surface roughness and taper angle in LBM due its importance of plasma energy. Laser power (3 kW), nozzle distance (1.5 mm), focal length (−2 mm) and gas pressure (2 bar) has been chosen as optimal process parameters combination due to its ability of producing lower plasma energy with accuracy of 2.2 %. The higher laser power with lower nozzle distance creates lower surface roughness owing to the formation of tiny craters with lower particles adhesion.
Xiaoliang Liang - One of the best experts on this subject based on the ideXlab platform.
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modeling of plastic deformation induced by thermo mechanical stresses considering tool flank wear in high speed Machining ti 6al 4v
International Journal of Mechanical Sciences, 2018Co-Authors: Xiaoliang Liang, Bing WangAbstract:Abstract Metallurgical characteristics in the machined surface layer can be modified due to suffering the localized thermo-mechanical stresses during high-speed Machining. Plastic deformation is generated by the localized thermo-mechanical stresses. The depth of plastic deformation will then influence the functional performances and service life of the machined components. However, the available tool life is diminished due to rapid tool wear in Machining Titanium Alloy. The tool wear induces additional thermo-mechanical stresses on the tool-workpiece interface, which results in deeper plastic deformation. This article proposed a prediction model of the plastic deformation depth induced by the coupled thermo-mechanical stress considering tool flank wear. The proposed model can effectively predict the depth of plastic deformation at different tool flank wear stages. This prediction model is verified with the high-speed turning experiments of Ti-6Al-4V. It is demonstrated that there is a better consistency between the measured and predicted results with the error interval of 11.2% to 15.4%. The results indicated that the tool flank wear should be limited in an appropriate value from the perspective of the depth of plastic deformation. This work can be used to guarantee the machined surface integrity during Machining Ti-6Al-4V.
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experimental investigations on effects of tool flank wear on surface integrity during orthogonal dry cutting of ti 6al 4v
The International Journal of Advanced Manufacturing Technology, 2017Co-Authors: Xiaoliang Liang, Zhanqiang LiuAbstract:Machining Titanium Alloy Ti-6Al-4V is a challenging task since tool flank wear adversely affects surface integrity. Quantitative effects of predetermined tool flank wear values (VB) on the surface integrity were investigated through the orthogonal dry cutting of Ti-6Al-4V. Experimental results indicated that three-dimensional (3D) average surface roughness increased with the VB ranging from 0 to 0.2 mm but decreased at VB = 0.3 mm. Given the effects of rubbing and ironing enhanced, surface material burning and plastic flows emerged on the machined surface at VB = 0.3 mm. Not only the plastic deformation layer became deeper but also the grains were greatly distorted with the increase of tool flank wear. When machined by using the tool at VB = 0.3 mm, the β phase of Ti-6Al-4V decreased near the machined surface layer than that of using the fresh tool. Besides, the depth of work-harden layer increased from 20 to 60 μm with the VB increasing from 0 to 0.3 mm. The softened layer was generated near the machined surface by using the tool at VB = 0.3 mm. In addition, the residual compressive stresses of the machined surface had the trend of decreasing. Experimental results indicated that the VB less than 0.2 mm was the most suitable condition for better surface integrity during orthogonal dry cutting of Ti-6Al-4V. This study aims at providing experimental data for optimizing the processing parameters and improving the surface integrity of Ti-6Al-4V.
Bing Wang - One of the best experts on this subject based on the ideXlab platform.
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modeling of plastic deformation induced by thermo mechanical stresses considering tool flank wear in high speed Machining ti 6al 4v
International Journal of Mechanical Sciences, 2018Co-Authors: Xiaoliang Liang, Bing WangAbstract:Abstract Metallurgical characteristics in the machined surface layer can be modified due to suffering the localized thermo-mechanical stresses during high-speed Machining. Plastic deformation is generated by the localized thermo-mechanical stresses. The depth of plastic deformation will then influence the functional performances and service life of the machined components. However, the available tool life is diminished due to rapid tool wear in Machining Titanium Alloy. The tool wear induces additional thermo-mechanical stresses on the tool-workpiece interface, which results in deeper plastic deformation. This article proposed a prediction model of the plastic deformation depth induced by the coupled thermo-mechanical stress considering tool flank wear. The proposed model can effectively predict the depth of plastic deformation at different tool flank wear stages. This prediction model is verified with the high-speed turning experiments of Ti-6Al-4V. It is demonstrated that there is a better consistency between the measured and predicted results with the error interval of 11.2% to 15.4%. The results indicated that the tool flank wear should be limited in an appropriate value from the perspective of the depth of plastic deformation. This work can be used to guarantee the machined surface integrity during Machining Ti-6Al-4V.
