Thermal-Assisted Machining of Titanium Alloys

Shams, Ouf Abdulrahman; Pramanik, Alokesh; Chandratilleke, Tilak

doi:10.1007/978-3-319-56099-1_3

Cited by 20 publications

(11 citation statements)

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the rapid development of laser technology, laser assisted techniques now have many advantages over other pre-heating techniques, e.g. cost-effective and productive [11], while enabling higher energy intensities and making it easier to control the heating location and size [12] when compared with other methods (e.g. plasma, gas torch, electrical current heating).…”

Section: Introductionmentioning

confidence: 99%

“…Laser assisted turning (LAT) and laser assisted milling (LAMill) are the two most commonly used LAM processes. In LAT, the laser beam spot is placed ahead of the cutter to preheat the cutting volume locally [11] and the distance from the laser spot to the cutter is often fixed. LAMill is similar to LAT [26,27] as the laser spot can be also projected on the cutting area [28] -this is the conventional way to use LAMill.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On modelling of laser assisted machining: Forward and inverse problems for heat placement control

Shang

Liao

Sarasua

et al. 2019

International Journal of Machine Tools and Manufacture

View full text Add to dashboard Cite

Laser assisted machining (LAM) is one of the most efficient ways to improve the machinability of difficultto-cut materials (e.g. Nickel-based superalloys). In the conventional LAM process, the laser beam is focused ahead of the cutting area at a fixed location, which leads to a series of restrictions, e.g. small heating area and non-uniform heat distribution due to the limitation of beam size and energy distribution. In this paper, a novel spatially and temporally (S&T) controlled laser heating method was proposed, in which a large area can be heated up with a small laser spot by controlling the beam scanning, i.e., laser power, path and speed of scanning. The laser configuration for the prescribed HAZ (heat affected zone) was achieved by solving the inverse problem where the laser power together with either laser path or laser speed were optimised to achieve a particular temperature distribution in the chip to be removed by the following milling cutter. The proposed S&T laser heating method was thoroughly validated both for the forward and, the more important, inverse heating models by performing extensive temperature experiments by both infrared thermal camera and thermocouple array and further verified by laser assisted milling (LAMill) tests of Inconel 718 for large widths of cuts. The results showed that by applying path-optimised LAMill based on the inverse solution of the thermal problem, the peak and mean principal cutting forces were reduced by 55% and 47.8% respectively compared with the conventional dry milling process while the surface roughness improved by at least 14%. Moreover, after controlling the HAZ using the inverse thermal problem, a microstructure analysis of the machined surface showed that the proposed laser heating method avoids overheating of the workpiece below the planned depth of cut for the milling operation.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On modelling of laser assisted machining: Forward and inverse problems for heat placement control

Shang

Liao

Sarasua

et al. 2019

International Journal of Machine Tools and Manufacture

View full text Add to dashboard Cite

show abstract

“…13,14 The laser machining is the non-contact machining operation in which tool wear and vibration can be avoided but accuracy is maintained. 15–17 The standard lasers used for the laser machining process are ruby, Nd:YAG (Neodymium Yttrium Aluminium Garnet) and carbon dioxide (CO 2 ) gas laser. 18–20 Lasers find wide spread application in various fields such as electrical, electronics, micro-electro-mechanical systems (MEMS), medical science, metal forming, aviation and automobile sectors.…”

Section: Introductionmentioning

confidence: 99%

Drilling of micro-holes on titanium alloy using pulsed Nd:YAG laser: Parametric appraisal and prediction of performance characteristics

Chatterjee

Mahapatra

Bharadwaj

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

Laser drilling is a preferable method in drilling micro and slender holes because of its non-physical contact between the tool and the workpiece leading to elimination of the problems like chatter and vibration. In this article, an experimental investigation of the laser drilling process is carried out on thin sheet (0.5 mm) of titanium alloy (Ti6Al4V) using pulsed Nd:YAG laser. The study investigates the effect of laser parameters such as laser energy, pulse repetition rate, pulse width and gas pressure on hole quality characteristics, namely, circularity at entry and exit, taper and spatter area. Taguchi’s L27 orthogonal array is adopted for conducting the experiments to establish significance of control parameters on the performance measures with less number of experimental run. Analysis of variance shows that laser energy and pulse width significantly influence on circularity, taper and spatter area. Optimal parameter setting for all the performance measures is suggested. Statistically valid empirical models relating hole quality characteristics with laser parameters have been developed based on least square regression analysis. Backpropagation artificial neural network is used predict the output responses considering laser process parameters as inputs. A mean square error within 5% for both the training and testing data suggests the adequacy and robustness of the proposed artificial neural network model. Variation of performance measures with respect to process parameters is predicted through the well-trained artificial neural network model. The pattern of variation exhibits good agreement with the main effect plots obtained through Taguchi method. Artificial neural network model produces mean relative error of 0.001, 0.001, 0.0437 and 0.0234 for circularity at entry, circularity at exit, taper and spatter area, respectively, when compared with experimental values. Since small values of mean relative error are obtained, the proposed artificial neural network model can be satisfactorily used for prediction of quality characteristics of laser micro-drilled holes.

show abstract

“…INTRODUCTION Titanium alloys, including Ti-6Al-4V, are characterized by good mechanical and chemical properties such as high tensile strength and toughness, excellent resistance to corrosion and oxidation, light weight, resistance to extreme temperatures, and high strength-to-weight ratio. As a result, they are increasingly used in aerospace, spacecraft, automotive, biomedical, chemical and petrochemical, offshore oil and gas, water desalination, and power generation industries [1][2][3][4][5][6][7][8]. To overcome the difficulties encountered when using traditional machining techniques with super alloys, such as titanium alloys, engineering workshops resort to non-conventional techniques.…”

Section: Imentioning

confidence: 99%

Surface Quality of Ti-6Al-4V Titanium Alloy Parts Machined by Laser Cutting

Boudjemline

Boujelbene

Bayraktar

2020

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

This paper investigates high power CO2 laser cutting of 5mm-thick Ti-6Al-4V titanium alloy sheets, aiming to evaluate the effects of various laser cutting parameters on surface roughness. Using multiple linear regression, a mathematical model based on experimental data was proposed to predict the maximum height of the surface Sz as a function of two laser cutting parameters, namely cutting speed and assist-gas pressure. The adequacy of the proposed model was validated by Analysis Of Variance (ANOVA). Experimental data were compared with the model’s data to verify the capacity of the proposed model. The results indicated that for fixed laser power, cutting speed is the predominant cutting parameter that affects the maximum height of surface roughness.

show abstract

Thermal-Assisted Machining of Titanium Alloys

Cited by 20 publications

References 94 publications

On modelling of laser assisted machining: Forward and inverse problems for heat placement control

On modelling of laser assisted machining: Forward and inverse problems for heat placement control

Drilling of micro-holes on titanium alloy using pulsed Nd:YAG laser: Parametric appraisal and prediction of performance characteristics

Surface Quality of Ti-6Al-4V Titanium Alloy Parts Machined by Laser Cutting

Contact Info

Product

Resources

About