The Experts below are selected from a list of 3564 Experts worldwide ranked by ideXlab platform
Matthew S Dargusch - One of the best experts on this subject based on the ideXlab platform.
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numerical modeling of laser Assisted Machining of a beta titanium alloy
Computational Materials Science, 2014Co-Authors: Hongyi Zhan, R Rahman A Rashid, Gui Wang, Shoujin Sun, Matthew S DarguschAbstract:Laser Assisted Machining is a promising new Machining technology that can be used to assist with the fabrication of components from difficult to machine materials such as beta titanium alloys. To understand the mechanism behind this process, a reliable numerical Machining model is needed. This study employed an SPH method to the problem of laser Assisted Machining of Ti-6Cr-5Mo-5V-4Al alloy. The SPH method has several advantages when dealing with large-deformation problems compared with traditional finite element methods. A laser scanning model was developed beforehand to predict the temperature elevation due to laser heating and the temperature results were used as initial conditions for the SPH/FE Machining models. Johnson-Cook parameters and Zerilli-Armstrong parameters of Ti-6Cr-5Mo-5V-4Al alloy were acquired based on experimental data from the Split Hopkinson Pressure Bar (SHPB) test and were implemented in the Machining models. The cutting force predictions of Machining models using these two material models were discussed in this study. Both conventional Machining (CM) and laser Assisted Machining (LAM) were simulated. The main cutting force predictions and the temperature predictions were compared with experimental results to validate the models.
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a study on laser Assisted Machining of ti10v2fe3al alloy with varying laser power
The International Journal of Advanced Manufacturing Technology, 2014Co-Authors: R Rahman A Rashid, Gui Wang, Shoujin Sun, S Palanisamy, Matthew S DarguschAbstract:Laser-Assisted Machining (LAM) is a promising technique to improve the machinability of various difficult-to-machine materials such as steels, nickel and titanium alloys and metal-matrix composites. Most of the research studies are focused on analyzing the effect of various cutting parameters such as cutting speeds, feed rates and depth of cut at a constant laser power despite being reported that the maximum benefit of the LAM technique can be realised when all parameters including laser power are optimised. Therefore, the primary objective of this paper is to assess the effect of laser power on the cutting temperature and cutting forces including force fluctuations during the Machining of Ti10V2Fe3Al alloy. A cutting force reduction of at least 10 % was found using the assistance of a 1,600 W laser beam between cutting speeds of 55-140 m/min. Nevertheless, it was concluded that a power of 800-1200 W for the laser beam is best suited during LAM of Ti10V2Fe3Al alloy within a cutting speed range of 55-100 m/min. Further, higher cutting speeds were recommended when employing a higher power laser beam to avoid problems such as chatter and chip pile-up.
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sph fe modeling of cutting force and chip formation during thermally Assisted Machining of ti6al4v alloy
Computational Materials Science, 2014Co-Authors: M J Bermingham, Gui Wang, Matthew S DarguschAbstract:Abstract SPH method was employed in this study to develop Machining models to study the thermally Assisted Machining of Ti6Al4V process. Both 2D and 3D models were developed for investigations of chip formation and cutting force, respectively. Two sets of Machining parameters under four different target initial workpiece temperatures were simulated. Corresponding thermally Assisted Machining experiments were conducted for the validation of the models. The influence of the initial workpiece temperature on the chip formation and cutting force was studied. The chip formation mechanism and its relationship with the cyclic cutting force were also discussed.
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experimental investigation of laser Assisted Machining of az91 magnesium alloy
International Journal of Precision Engineering and Manufacturing, 2013Co-Authors: R Rahman A Rashid, Gui Wang, Shoujin Sun, Matthew S DarguschAbstract:The demand for magnesium alloys has been increasing over the past decade due to the push towards weight reduction in fuel efficient automobiles, cheap electronics, and biodegradable medical implants. However, magnesium has limited deformation systems available as a result of its HCP crystal structure which makes plastic deformation difficult. In this research, a laser is applied to heat the surface of the AZ91 magnesium alloy to activate additional deformation systems and reduce the cutting forces during Machining. It has been shown that both the main cutting force and the feed force are reduced during laser Assisted Machining when compared with conventional (un-Assisted) Machining.
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an investigation of cutting forces and cutting temperatures during laser Assisted Machining of the ti 6cr 5mo 5v 4al beta titanium alloy
International Journal of Machine Tools & Manufacture, 2012Co-Authors: R Rahman A Rashid, Gui Wang, Matthew S DarguschAbstract:Beta titanium alloys are increasingly attractive because of their superior combination of properties such as high strength and fracture toughness. These alloys are finding potential applications in the manufacture of aircraft components such as landing gear, springs and nacelles. Innovative Machining solutions are required to reduce the cost of production of beta titanium components and improve cycle time. Previous research has reported that these alloys have poor machinability compared to the more common Ti–6Al–4V titanium alloy. This paper aims to investigate the behaviour of the Ti–6Cr–5Mo–5V–4Al beta titanium alloy using laser Assisted Machining (LAM). The LAM technique utilises a laser beam which is applied onto the workpiece surface locally in front of the cutting tool in order to provide external heat to significantly reduce the yield strength of the material. This reduces the cutting forces required to machine the workpiece and increases metal removal rates. In this study, the effect of the laser beam on the cutting forces and cutting temperature is critically analysed over a wide range of feed rates and cutting speeds and is compared to the results obtained from conventional (un-Assisted) Machining of this beta titanium alloy. This investigation has shown that LAM significantly reduces cutting forces within a certain range of cutting parameters. Maximum benefit was achieved at feed rates between 0.15 and 0.25 mm/rev and cutting speeds between 25 and 100 m/min at a laser power of 1200 W during LAM of the Ti–6Cr–5Mo–5V–4Al beta titanium alloy.
Gui Wang - One of the best experts on this subject based on the ideXlab platform.
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numerical modeling of laser Assisted Machining of a beta titanium alloy
Computational Materials Science, 2014Co-Authors: Hongyi Zhan, R Rahman A Rashid, Gui Wang, Shoujin Sun, Matthew S DarguschAbstract:Laser Assisted Machining is a promising new Machining technology that can be used to assist with the fabrication of components from difficult to machine materials such as beta titanium alloys. To understand the mechanism behind this process, a reliable numerical Machining model is needed. This study employed an SPH method to the problem of laser Assisted Machining of Ti-6Cr-5Mo-5V-4Al alloy. The SPH method has several advantages when dealing with large-deformation problems compared with traditional finite element methods. A laser scanning model was developed beforehand to predict the temperature elevation due to laser heating and the temperature results were used as initial conditions for the SPH/FE Machining models. Johnson-Cook parameters and Zerilli-Armstrong parameters of Ti-6Cr-5Mo-5V-4Al alloy were acquired based on experimental data from the Split Hopkinson Pressure Bar (SHPB) test and were implemented in the Machining models. The cutting force predictions of Machining models using these two material models were discussed in this study. Both conventional Machining (CM) and laser Assisted Machining (LAM) were simulated. The main cutting force predictions and the temperature predictions were compared with experimental results to validate the models.
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a study on laser Assisted Machining of ti10v2fe3al alloy with varying laser power
The International Journal of Advanced Manufacturing Technology, 2014Co-Authors: R Rahman A Rashid, Gui Wang, Shoujin Sun, S Palanisamy, Matthew S DarguschAbstract:Laser-Assisted Machining (LAM) is a promising technique to improve the machinability of various difficult-to-machine materials such as steels, nickel and titanium alloys and metal-matrix composites. Most of the research studies are focused on analyzing the effect of various cutting parameters such as cutting speeds, feed rates and depth of cut at a constant laser power despite being reported that the maximum benefit of the LAM technique can be realised when all parameters including laser power are optimised. Therefore, the primary objective of this paper is to assess the effect of laser power on the cutting temperature and cutting forces including force fluctuations during the Machining of Ti10V2Fe3Al alloy. A cutting force reduction of at least 10 % was found using the assistance of a 1,600 W laser beam between cutting speeds of 55-140 m/min. Nevertheless, it was concluded that a power of 800-1200 W for the laser beam is best suited during LAM of Ti10V2Fe3Al alloy within a cutting speed range of 55-100 m/min. Further, higher cutting speeds were recommended when employing a higher power laser beam to avoid problems such as chatter and chip pile-up.
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sph fe modeling of cutting force and chip formation during thermally Assisted Machining of ti6al4v alloy
Computational Materials Science, 2014Co-Authors: M J Bermingham, Gui Wang, Matthew S DarguschAbstract:Abstract SPH method was employed in this study to develop Machining models to study the thermally Assisted Machining of Ti6Al4V process. Both 2D and 3D models were developed for investigations of chip formation and cutting force, respectively. Two sets of Machining parameters under four different target initial workpiece temperatures were simulated. Corresponding thermally Assisted Machining experiments were conducted for the validation of the models. The influence of the initial workpiece temperature on the chip formation and cutting force was studied. The chip formation mechanism and its relationship with the cyclic cutting force were also discussed.
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experimental investigation of laser Assisted Machining of az91 magnesium alloy
International Journal of Precision Engineering and Manufacturing, 2013Co-Authors: R Rahman A Rashid, Gui Wang, Shoujin Sun, Matthew S DarguschAbstract:The demand for magnesium alloys has been increasing over the past decade due to the push towards weight reduction in fuel efficient automobiles, cheap electronics, and biodegradable medical implants. However, magnesium has limited deformation systems available as a result of its HCP crystal structure which makes plastic deformation difficult. In this research, a laser is applied to heat the surface of the AZ91 magnesium alloy to activate additional deformation systems and reduce the cutting forces during Machining. It has been shown that both the main cutting force and the feed force are reduced during laser Assisted Machining when compared with conventional (un-Assisted) Machining.
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an investigation of cutting forces and cutting temperatures during laser Assisted Machining of the ti 6cr 5mo 5v 4al beta titanium alloy
International Journal of Machine Tools & Manufacture, 2012Co-Authors: R Rahman A Rashid, Gui Wang, Matthew S DarguschAbstract:Beta titanium alloys are increasingly attractive because of their superior combination of properties such as high strength and fracture toughness. These alloys are finding potential applications in the manufacture of aircraft components such as landing gear, springs and nacelles. Innovative Machining solutions are required to reduce the cost of production of beta titanium components and improve cycle time. Previous research has reported that these alloys have poor machinability compared to the more common Ti–6Al–4V titanium alloy. This paper aims to investigate the behaviour of the Ti–6Cr–5Mo–5V–4Al beta titanium alloy using laser Assisted Machining (LAM). The LAM technique utilises a laser beam which is applied onto the workpiece surface locally in front of the cutting tool in order to provide external heat to significantly reduce the yield strength of the material. This reduces the cutting forces required to machine the workpiece and increases metal removal rates. In this study, the effect of the laser beam on the cutting forces and cutting temperature is critically analysed over a wide range of feed rates and cutting speeds and is compared to the results obtained from conventional (un-Assisted) Machining of this beta titanium alloy. This investigation has shown that LAM significantly reduces cutting forces within a certain range of cutting parameters. Maximum benefit was achieved at feed rates between 0.15 and 0.25 mm/rev and cutting speeds between 25 and 100 m/min at a laser power of 1200 W during LAM of the Ti–6Cr–5Mo–5V–4Al beta titanium alloy.
R Rahman A Rashid - One of the best experts on this subject based on the ideXlab platform.
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numerical modeling of laser Assisted Machining of a beta titanium alloy
Computational Materials Science, 2014Co-Authors: Hongyi Zhan, R Rahman A Rashid, Gui Wang, Shoujin Sun, Matthew S DarguschAbstract:Laser Assisted Machining is a promising new Machining technology that can be used to assist with the fabrication of components from difficult to machine materials such as beta titanium alloys. To understand the mechanism behind this process, a reliable numerical Machining model is needed. This study employed an SPH method to the problem of laser Assisted Machining of Ti-6Cr-5Mo-5V-4Al alloy. The SPH method has several advantages when dealing with large-deformation problems compared with traditional finite element methods. A laser scanning model was developed beforehand to predict the temperature elevation due to laser heating and the temperature results were used as initial conditions for the SPH/FE Machining models. Johnson-Cook parameters and Zerilli-Armstrong parameters of Ti-6Cr-5Mo-5V-4Al alloy were acquired based on experimental data from the Split Hopkinson Pressure Bar (SHPB) test and were implemented in the Machining models. The cutting force predictions of Machining models using these two material models were discussed in this study. Both conventional Machining (CM) and laser Assisted Machining (LAM) were simulated. The main cutting force predictions and the temperature predictions were compared with experimental results to validate the models.
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a study on laser Assisted Machining of ti10v2fe3al alloy with varying laser power
The International Journal of Advanced Manufacturing Technology, 2014Co-Authors: R Rahman A Rashid, Gui Wang, Shoujin Sun, S Palanisamy, Matthew S DarguschAbstract:Laser-Assisted Machining (LAM) is a promising technique to improve the machinability of various difficult-to-machine materials such as steels, nickel and titanium alloys and metal-matrix composites. Most of the research studies are focused on analyzing the effect of various cutting parameters such as cutting speeds, feed rates and depth of cut at a constant laser power despite being reported that the maximum benefit of the LAM technique can be realised when all parameters including laser power are optimised. Therefore, the primary objective of this paper is to assess the effect of laser power on the cutting temperature and cutting forces including force fluctuations during the Machining of Ti10V2Fe3Al alloy. A cutting force reduction of at least 10 % was found using the assistance of a 1,600 W laser beam between cutting speeds of 55-140 m/min. Nevertheless, it was concluded that a power of 800-1200 W for the laser beam is best suited during LAM of Ti10V2Fe3Al alloy within a cutting speed range of 55-100 m/min. Further, higher cutting speeds were recommended when employing a higher power laser beam to avoid problems such as chatter and chip pile-up.
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experimental investigation of laser Assisted Machining of az91 magnesium alloy
International Journal of Precision Engineering and Manufacturing, 2013Co-Authors: R Rahman A Rashid, Gui Wang, Shoujin Sun, Matthew S DarguschAbstract:The demand for magnesium alloys has been increasing over the past decade due to the push towards weight reduction in fuel efficient automobiles, cheap electronics, and biodegradable medical implants. However, magnesium has limited deformation systems available as a result of its HCP crystal structure which makes plastic deformation difficult. In this research, a laser is applied to heat the surface of the AZ91 magnesium alloy to activate additional deformation systems and reduce the cutting forces during Machining. It has been shown that both the main cutting force and the feed force are reduced during laser Assisted Machining when compared with conventional (un-Assisted) Machining.
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an investigation of cutting forces and cutting temperatures during laser Assisted Machining of the ti 6cr 5mo 5v 4al beta titanium alloy
International Journal of Machine Tools & Manufacture, 2012Co-Authors: R Rahman A Rashid, Gui Wang, Matthew S DarguschAbstract:Beta titanium alloys are increasingly attractive because of their superior combination of properties such as high strength and fracture toughness. These alloys are finding potential applications in the manufacture of aircraft components such as landing gear, springs and nacelles. Innovative Machining solutions are required to reduce the cost of production of beta titanium components and improve cycle time. Previous research has reported that these alloys have poor machinability compared to the more common Ti–6Al–4V titanium alloy. This paper aims to investigate the behaviour of the Ti–6Cr–5Mo–5V–4Al beta titanium alloy using laser Assisted Machining (LAM). The LAM technique utilises a laser beam which is applied onto the workpiece surface locally in front of the cutting tool in order to provide external heat to significantly reduce the yield strength of the material. This reduces the cutting forces required to machine the workpiece and increases metal removal rates. In this study, the effect of the laser beam on the cutting forces and cutting temperature is critically analysed over a wide range of feed rates and cutting speeds and is compared to the results obtained from conventional (un-Assisted) Machining of this beta titanium alloy. This investigation has shown that LAM significantly reduces cutting forces within a certain range of cutting parameters. Maximum benefit was achieved at feed rates between 0.15 and 0.25 mm/rev and cutting speeds between 25 and 100 m/min at a laser power of 1200 W during LAM of the Ti–6Cr–5Mo–5V–4Al beta titanium alloy.
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the effect of laser power on the machinability of the ti 6cr 5mo 5v 4al beta titanium alloy during laser Assisted Machining
International Journal of Machine Tools & Manufacture, 2012Co-Authors: R Rahman A Rashid, Gui Wang, Shoujin Sun, Matthew S DarguschAbstract:Laser Assisted Machining has been a field of extensive research during the past decade as it is a promising solution to enhance the machinability of many difficult-to-cut materials including titanium alloys. The fundamental principle of the technology is the application of a laser heat source to soften the workpiece material ahead of the cutting tool. Previous literature published on the laser Assisted Machining of several α and α/β titanium alloys (mainly CP Ti and Ti-6Al-4V) reported significant reduction in cutting forces. However, a recent study carried out by the authors on the β titanium alloy (Ti-6Cr-5Mo-5V-4Al) reported a beneficial reduction in cutting forces between cutting speeds of 25-100 m/min with a laser power of 1200 W. This is due to the fact that β titanium alloys are specifically designed to exhibit high temperature strength and fracture toughness. In this paper, further research was carried out to assess the effect of laser power on the possibility of broadening the cutting speed range beyond 100 m/min when Machining Ti-6Cr-5Mo-5V-4Al. The effect of the laser beam on the cutting forces and cutting temperature has been reported. It was found that increasing the laser power from 1200 W to 1600 W resulted in an extension of the beneficial cutting speed range to 125 m/min.
Yung C Shin - One of the best experts on this subject based on the ideXlab platform.
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Multiscale Finite Element Modeling of Alumina Ceramics Undergoing Laser-Assisted Machining
Journal of Manufacturing Science and Engineering, 2015Co-Authors: Xiangyang Dong, Yung C ShinAbstract:Alumina ceramics, due to their excellent properties of high hardness, corrosion resistance, and low thermal expansion coefficient, are important industrial materials with a wide range of applications, but these materials also present difficulty in Machining with low material removal rates and high tool wear. This study is concerned with laser-Assisted Machining (LAM) of high weight percentage of alumina ceramics to improve the machinability by a single point cutting tool while reducing the cutting forces. A multiscale model is developed for simulating the Machining of alumina ceramics. In the polycrystalline form, the properties of alumina ceramics are strongly related to the glass interface existing in their microstructure, particularly at high temperatures. The interface is characterized by a cohesive zone model (CZM) with the traction–separation law while the alumina grains are modeled as continuum elements with isotropic properties separated by the interface. Bulk deformation and brittle failure are considered for the alumina grains. Molecular dynamics (MD) simulations are carried out to obtain the atomistic structures and parameterize traction–separation laws for the interfaces of different compositions of alumina ceramics at high temperatures. The generated parameterized traction–separation laws are then incorporated into a finite element model in Abaqus to simulate the intergranular cracks. For validation purposes, simulated results of the multiscale approach are compared with the experimental measurements of the cutting forces. The model is successful in predicting cutting forces with respect to the different weight percentage and composition of alumina ceramics at high temperatures in LAM processes.
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experimental evaluation of laser Assisted Machining of silicon carbide particle reinforced aluminum matrix composites
The International Journal of Advanced Manufacturing Technology, 2013Co-Authors: Chinmaya R Dandekar, Yung C ShinAbstract:An experimental study on Machining of a particle-reinforced metal matrix composite (MMC) subjected to laser-Assisted Machining (LAM) was conducted. The MMC studied is an A359 aluminum matrix composite reinforced with 20 % by volume fraction silicon carbide particles. LAM was evaluated experimentally for its potential to improve machinability while minimizing the subsurface damage. The effectiveness of LAM was studied by measuring the cutting forces, specific cutting energy, surface roughness, subsurface damage, and tool wear under various material removal temperatures (Tmr). The optimum Tmr is established as 300 °C, with LAM providing a 37 % reduction in the surface roughness, a 12 % reduction in the specific cutting energy, and 1.7–2.35 times improvement in tool life over conventional Machining dependent on the cutting speed.
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IMPROVING MACHINABILITY OF HIGH CHROMIUM WEAR-RESISTANT MATERIALS VIA LASER–Assisted Machining
Machining Science and Technology, 2013Co-Authors: Hongtao Ding, Yung C ShinAbstract:The machinability of high chromium wear resistant materials is poor due to their high hardness with a large amount of hard chromium carbides. This study is focused on improving the machinability of high chromium wear resistant materials with different microstructures and hardness levels via laser-Assisted Machining (LAM). A laser pre-scan process is designed to preheat the workpiece before LAM to overcome the laser power constraint. A transient, three-dimensional LAM thermal model is expanded to include the laser pre-scan process, and is validated through experiments using an infrared camera. The machinability of highly alloyed wear resistant materials of 27% and 35% chromium content is evaluated in terms of tool wear, cutting forces, and surface integrity through LAM experiments using cubic boron nitride (CBN) tools. With increasing material removal temperature from room temperature to 400°C, the benefit of LAM is demonstrated by 28% decrease in specific cutting energy, 50% improvement in surface roughne...
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Improvement of machinability of Waspaloy via laser-Assisted Machining
International Journal of Advanced Manufacturing Technology, 2013Co-Authors: Hongtao Ding, Yung C ShinAbstract:Waspaloy is a heat-resistant alloy primarily used in aircraft turbine engines, as forged turbine and compressor disk, which is difficult to machine at room temperature due to excessive tool wear and poor surface finish. Laser-Assisted Machining (LAM) offers the ability to machine such super- alloys more efficiently by locally heating and softening the workpiece material prior to material removal and Machining with a conventional single-point cutting tool. A transient, three-dimensional heat transfer model is used for modeling LAM of Waspaloy. The thermal model is validated by com- paring the temperature predictions and the surface temperature measurements using an infrared camera. Themachinability of Waspaloy under varying conditions is evaluated by examining tool wear, cutting forces, and surface finish. With increasing material removal temperature from room temperature to 300– 400°C, the benefit ofLAMis demonstrated by a 20%decrease in specific cutting energy, a two- to three-fold improvement in surface roughness, and a 50% increase in ceramic tool life over conventional Machining
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laser Assisted Machining of a fiber reinforced metal matrix composite
Journal of Manufacturing Science and Engineering-transactions of The Asme, 2010Co-Authors: Chinmaya R Dandekar, Yung C ShinAbstract:Metal matrix composites, due to their excellent properties of high specific strength, fracture resistance, and corrosion resistance, are highly sought after over their nonferrous alloys, but these materials also present difficulty in Machining. Excessive tool wear and high tooling costs of diamond tools make the cost associated with Machining of these composites very high. This paper is concerned with the Machining of high volume fraction long-fiber metal matrix composites (MMCs), which has seldom been studied. The composite material considered for this study is an Al―2% Cu aluminum matrix composite reinforced with 62% by volume fraction alumina fibers (Al―2% Cu/Al 2 O 3 ). Laser-Assisted Machining (LAM) is utilized to improve the tool life and the material removal rate while minimizing the subsurface damage. The effectiveness of the laser-Assisted Machining process is studied by measuring the cutting forces, specific cutting energy, surface roughness, subsurface damage, and tool wear under various material removal temperatures. A multiphase finite element model is developed in ABAgUS/STANDARD to assist in the selection of cutting parameters such as tool rake angle, cutting speed, and material removal temperature. The multiphase model is also successful in predicting the damage depth on Machining. The optimum material removal temperature is established as 300°C at a cutting speed of 30 m/min. LAM provides a 65% reduction in the surface roughness, specific cutting energy, tool wear rate, and minimum subsurface damage over conventional Machining using the same cutting conditions.
Guenael Germain - One of the best experts on this subject based on the ideXlab platform.
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high pressure water jet Assisted Machining of ti555 3 titanium alloy investigation of tool wear mechanisms
The International Journal of Advanced Manufacturing Technology, 2018Co-Authors: Yessine Ayed, Guenael GermainAbstract:The main objective of this study is to investigate uncoated tungsten carbide tool wear mechanisms for high-pressure water-jet Machining of the Ti555-3 titanium alloy. A comparative study has been undertaken (i.e. conventional versus Assisted Machining) based on numerous experimental tests. These tests have been accompanied by the measurement of the cutting forces and flank wear. It is concluded that the high-pressure water-jet assistance can greatly increase tool life compared to conventional Machining, for all cutting conditions. The gain in tool life depends on the severity of the cutting condition. The analyses performed for each test (i.e. SEM, EDS and 3D profilometer) made it possible to monitor the tool wear and to investigate the main wear mechanisms. Based on these analyses, adhesion wear appears to be the most influential mechanism and it is accelerated by an increase in water-jet pressure. Monitoring of the wear profile made it possible to study the evolution of crater wear and material chipping during Machining.
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experimental and numerical study of laser Assisted Machining of ti6al4v titanium alloy
Finite Elements in Analysis and Design, 2014Co-Authors: Yessine Ayed, Guenael Germain, Ben W Salem, Hedi HamdiAbstract:Laser-Assisted Machining combines several experimental parameters such as cutting speed, feed rate, depth of cut, laser power and distance between tool rake face and the laser beam axis. The optimization of these parameters is necessary to ensure the efficiency of assistance and to increase productivity. This paper focuses on the understanding of the physical phenomena during laser-Assisted Machining, and on optimising this process. This contribution is based on an experimental and a numerical study. The experimentalpart highlights the effects of the laser power as well as the distance between the tool rake face and the axis of the laser beam. As for the numerical part, it was performed on the ABAQUS/Explicit software.The proposed model improves the understanding of the physical phenomena of chip formation and the cutting force reduction when Machining with laser assistance. In addition, this model allows a better optimization of laser and cutting parameters.Numerical findings generally corroborate experimental results and can lead to some other information difficult to catch experimentally.The main contention in the paper is that the distance between the axis of the laser beam and the tool rake face is the most important parameter that controls the reduction of the cutting force. This cutting force reduction can exceed 50%. HighlightsThe understanding of the physical phenomena during laser Assisted Machining and the optimization of this process.Shear band formation.Significant reduction in the cutting force up to 55%.An increase in the width of the chip and in the shear angle when Machining with laser assistance.
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Experimental and numerical study of laser-Assisted Machining of Ti6Al4V titanium alloy
Finite Elements in Analysis and Design, 2014Co-Authors: Yessine Ayed, Guenael Germain, Wacef Ben Salem, Hedi HamdiAbstract:Laser-Assisted Machining combines several experimental parameters such as cutting speed, feed rate, depth of cut, laser power and distance between tool rake face and the laser beam axis. The optimization of these parameters is necessary to ensure the efficiency of assistance and to increase productivity. This paper focuses on the understanding of the physical phenomena during laser-Assisted Machining, and on optimising this process. This contribution is based on an experimental and a numerical study. The experimentalpart highlights the effects of the laser power as well as the distance between the tool rake face and the axis of the laser beam. As for the numerical part, it was performed on the ABAQUS/Explicit software. The proposed model improves the understanding of the physical phenomena of chip formation and the cutting force reduction when Machining with laser assistance. In addition, this model allows a better optimization of laser and cutting parameters.Numerical findings generally corroborate experimental results and can lead to some other information difficult to catch experimentally. The main contention in the paper is that the distance between the axis of the laser beam and the tool rake face is the most important parameter that controls the reduction of the cutting force. This cutting force reduction can exceed 50%.
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Comprehension of chip formation in laser Assisted Machining
International Journal of Machine Tools and Manufacture, 2011Co-Authors: Guenael Germain, Philippe Dal Santo, J. L. LebrunAbstract:Laser Assisted Machining (LAM) improves the machinability of materials by locally heating the workpiece just prior to cutting. Experimental investigations have confirmed that the cutting force can be decreased, by as much as 40%, for various materials. In order to understand the effect of the laser on chip formation and on the temperature fields in the different deformation zones, thermo-mechanical simulations were undertaken. A thermo-mechanical model for chip formation was also undertaken. Experimental tests for the orthogonal cutting of 42CrMo4 steel were used to validate the simulation. The temperature fields allow us to explain the reduction in the cutting force and the resulting residual stress fields in the workpiece.
