Dynamic parameters prediction of Al7075/CNTUSING constitutive models and FEA

References

• Suresh S, Gowd GH, Deva Kumar MLS. Mechanical properties of AA 7075/Al2O3/SiC nano-metal matrix composites by stir-casting method. J Inst Eng India Ser D. 2019;100:43–53.
   Google Scholar
• Ashwath P, Xavior MA. Processing methods and property evaluation of Al2O3 and SiC reinforced metal matrix composites based on aluminium 2xxx alloys. J Mater Res. 2016;31(9):1201–1219.
   Web of Science ®Google Scholar
• Vijaysekar K, Pradeep Kumar M. Finite element simulations of Ti6Al4V titanium alloy machining to assess material model parameters of the Johnson-Cook constitutive equation. J Braz Soc Mech Sci Eng. 2011;33:203–211.
   Web of Science ®Google Scholar
• Subramanian K, Murugesan S, Mohan DG, et al. Study on dry sliding wear and friction behaviour of Al7068/Si3N4/BN hybrid composites. Materials. 2021;14(21):6560.
   PubMed Web of Science ®Google Scholar
• Özel T, Zeren E. Determination of work material flow stress and friction for FEA of machining using orthogonal cutting tests. J Mater Process Technol. 2004;153–154:1019–1025.
   Web of Science ®Google Scholar
• Prabu SB, Karunamoorthy L, Kathiresan S, et al. Influence of stirring speed and stirring time on distribution of particles in cast metal matrix composite. J Mater Process Technol. 2006;171:268–273.
   Web of Science ®Google Scholar
• AnandhaKumar CJ, Gopi S, Kumar SS, et al. Mechanical, metallurgical and tribological properties of friction stir processed aluminium alloy 6061 hybrid surface composites. Surf Topogr. 2021;(4):045019. Serial number 2051-672X.
   Web of Science ®Google Scholar
• Özel T, Altan T. Determination of workpiece flow stress and friction at the chip-tool contact for high-speed cutting. Int J Mach Tools Manuf. 2000;40(1):133–152.
   Web of Science ®Google Scholar
• Bayraktar Ş, Afyon F. Machinability properties of Al–7Si, Al–7Si–4Zn and Al–7Si–4Zn–3Cu alloys. J Braz Soc Mech Sci Eng. 2020;42. DOI:10.1007/s40430-020-02281-x
   Web of Science ®Google Scholar
• Xu X, Outeiro J, Zhang J, et al. Machining simulation of Ti6Al4V using coupled Eulerian-Lagrangian approach and a constitutive model considering the state of stress. Simul Modell Pract Theory. 2021;110:102312.
   Web of Science ®Google Scholar
• Liu G, Zhang D, Yao C. A modified constitutive model coupled with microstructure evolution incremental model for machining of titanium alloy Ti–6Al–4V. J Mater Process Technol. 2021;297:117262.
   Web of Science ®Google Scholar
• Ozel T, Karpat Y. Identification of constitutive material model parameters for high strain rate metal cutting conditions using evolutionary computational algorithms. Mater Manuf Processes. 2007;22(5):659–667.
   Web of Science ®Google Scholar
• Mousavi Anijdan SH, Madaah-Hosseini HR, Bahrami A. Flow stress optimization for 304 stainless steel under cold and warm compression by artificial neural network and genetic algorithm. Mater Design. 2007;28(2):609–615.
   Web of Science ®Google Scholar
• Lee WS, Lin CF. High-temperature deformation behavior of Ti6Al4V alloy evaluated by high strain rate compression tests. J Mater Process Technol. 1998;75(1–3):127–136.
   Web of Science ®Google Scholar
• Rinaldi S, Rotella G, Del Prete A. A physically based constitutive model of microstructural evolution of Ti6Al4V hard machining under different lubri-cooling conditions. Int J Adv Manuf Technol. 2021;112:1–19.
   Web of Science ®Google Scholar
• Lesuer DR. 2000. Experimental investigations of material models for Ti-6al-4V titanium and 2024-T3aluminum. Final Report, DOT/FAA/AR-00/25, US Department of Transportation, Federal Aviation Administration
   Google Scholar
• Motorcu AR The optimization of machining parameters using the taguchi method for surface roughness of AISI 8660 hardened alloy steel. Strojniškivestnik– J Mech Eng. 2010 56(6):391–401.
   Web of Science ®Google Scholar
• Peter I, Rosso M. Study of 7075 aluminium alloy joints. Sci Bull Valahia Univ - Mat Mech. 2017;15(13):7–11.
   Google Scholar
• Zhou Y, Pervin F, Lewis L, et al. Experimental study on the thermal and mechanical properties of multi-walled carbon nanotube-reinforced epoxy. Mater Sci Eng A. 2007;452–453:657–664.
   Web of Science ®Google Scholar
• Mohan DG, Gopi S. Optimized parameters prediction for single-pass friction stir welding on dissimilar aluminium alloys T- Joint. Int J Emerging Technol. 2021;12(2):15–20. ISSN No. (Print): 0975-8364.
   Google Scholar
• Ezatpour HR, Sajjadi SA, Sabzevar MH, et al. Investigation of microstructure and mechanical properties of Al6061-nanocomposite fabricated by stir casting. Mat Des. 2014;55:921–928.
   Web of Science ®Google Scholar