Abstract
Laser-assisted machining (LAM) has been proved to be a suitable process for improving the machinability of difficult-to-cut materials like Inconel 718, Ti–6Al–4 V, etc. Conventional machining processes of such materials led to higher cutting forces, poor surface finish and lesser tool life leading to poor machinability. Laser heating before machining reduces the tensile strength of the material which makes the cutting process easier leading to enhanced machinability. There are various analytical models available in the literature to predict the temperature distribution of the workpiece during laser heating. In this study, the available analytical models are compared with experimental data. The analytical models were implemented with Python code by giving material properties and laser parameters as inputs. The analytical model developed by Shang et al. [1] predicted the peak temperature (with a deviation within 0.15%) more accurately. The same model was used to obtain critical insights such as the effect of the laser feed speed on the laser heating process and power requirement of different materials such as Inconel 728, Ti–6Al–4 V, AISI 1045 and P550. Out of the four materials, P550 was found to have the highest power requirement.
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References
Shang Z, Liao Z, Sarasua JA, Billingham J, Axinte D (2019) On modelling of laser assisted machining: forward and inverse problems for heat placement control. Int J Mach Tools Manuf 138(November 2018):36–50
Rajagopal S, Plankenhorn DJ, Hill VL (1982) Machining aerospace alloys with the aid of a 15 kW laser. J Appl Metalwork 2(3):170–184
Anderson M, Patwa R, Shin YC (2006) Laser-assisted machining of Inconel 718 with an economic analysis. Int J Mach Tools Manuf 46(14):1879–1891
Shi B, Attia H, Vargas R, Tavakoli S (2008) Numerical and experimental investigation of laser-assisted machining of Inconel 718. Mach Sci Technol 12(4):498–513
Rashid RAR, Sun S, Wang G, Dargusch MS (2012) An investigation of cutting forces and cutting temperatures during laser-assisted machining of the Ti-6Cr-5Mo-5V-4Al beta titanium alloy. Int J Mach Tools Manuf 63:58–69
Germain G, Santo PD, Lebrun JL (2011) Comprehension of chip formation in laser assisted machining. Int J Mach Tools Manuf 51(3):230–238
Dandekar CR, Shin YC, Barnes J (2010) Machinability improvement of titanium alloy (Ti-6Al-4V) via LAM and hybrid machining. Int J Mach Tools Manuf 50(2):174–182
Navas VG, Arriola I, Gonzalo O, Leunda J (2013) Mechanisms involved in the improvement of Inconel 718 machinability by laser assisted machining (LAM). Int J Mach Tools Manuf 74:19–28
Kim DH, Lee CM (2014) A study of cutting force and preheating-temperature prediction for laser-assisted milling of Inconel 718 and AISI 1045 steel. Int J Heat Mass Transf 71:264–274
Woo WS, Lee CM (2015) A study of the machining characteristics of AISI 1045 steel and Inconel 718 with a cylindrical shape in laser-assisted milling. Appl Therm Eng 91:33–42
Ayed Y, Germain G, Salem WB, Hamdi H (2014) Experimental and numerical study of laser-assisted machining of Ti6Al4V titanium alloy. Finite Elem Anal Des 92:72–79
Parida AK, Maity K (2017) Effect of nose radius on forces and process parameters in hot machining of Inconel 718 using finite element analysis. Eng Sci Technol Int J 20(2):687–693
Xu D, Liao Z, Axinte D, Sarasua JA, M’Saoubi R, Wretland A (2020) Investigation of surface integrity in laser-assisted machining of nickel-based superalloy. Mater Des 194:108851
Parida AK (2019) Analysis of chip geometry in hot machining of inconel 718 alloy. Iran J Sci Technol Trans Mech Eng 43:155–164
Oh NS, Woo WS, Lee CM (2018) A study on the machining characteristics and energy efficiency of Ti-6Al-4V in laser-assisted trochoidal milling. Int J Prec Eng Manuf Green Technol 5(1):37–45
Woo HG, Cho HS (1999) Three-dimensional temperature distribution in laser surface hardening processes. Proc Inst Mech Eng Part B: J Eng Manuf 213(7):695–712
Boo KS, Cho HS (1990) Transient temperature distribution in arc welding of finite thickness plates. Proc Inst Mech Eng Part B: J Eng Manuf 204(3):175–183
Beck PA, Kremer JC, Demer LJ, Holzworth ML (1948) Grain growth in high-purity aluminum and in an aluminum-magnesium alloy. Trans Am Inst Min Metall Eng 175:372–400
Huda Z, Zaharinie T, Metselaar HSC, Ibrahim S, Min GJ (2014) Kinetics of grain growth in 718 Ni-base super alloy. Arch Metall Mater 3
Acknowledgements
The research work was supported by the Science and Engineering Research Board (SERB) under the Start-up Research Grant (SRG) programme (Sanction Order No: SRG/2019/000708). The authors are also grateful to the Department of Mechanical Engineering and the Central Facility for Materials and Manufacturing (CFMM), Indian Institute of Technology Palakkad, for providing the necessary software facilities for the work.
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Prabu, U.M., Kuntikana, P., Ahmed, A. (2023). Comparative Study on the Analytical Models for the Workpiece Temperature Distribution During Laser-Assisted Machining. In: Dixit, U.S., Kanthababu, M., Ramesh Babu, A., Udhayakumar, S. (eds) Advances in Forming, Machining and Automation. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-3866-5_18
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