Abstract
Introduction: In this research work, an attempt was made to machine
Ti6Al4V nano composites utilizing Al2O3 mixed nano fluid at minimum quantity lubrication
condition, in which experiments were designed using the L16 orthogonal
array, whereas Material Removal Rate, Surface Roughness, machining force and
power were recorded as responses.
Methods: The nano composites were fabricated using the stir casting technique and the
nano particles were synthesized using the sol-gel technique. the microstructure revealed
that the homogeneous dispersion of particles with dendric arms. Increased cutting speed
and feed lead to more tool wear, which in turn causes a decrease in surface quality and an
increase in surface roughness.
Results: Larger areas of cut are often the consequence of higher feed rates, which increases
the amount of friction between the work piece and the cutting edge. The machining
force increases when the feed rate is increased. A higher feed rate produces a
large volume of the cut material in a given length of time in addition to having a dynamic
impact on the cutting forces.
Conclusion: It also results in a corresponding increase in the typical contact stress at
the tool chip interface and in the tool chip contact zone.
Keywords:
Nano particles, nano composites, machining, ANOVA, MQL, titanium alloys.
Graphical Abstract
[4]
Zhang YW, Ding HX, She GL, Tounsi A. Wave propagation of CNTRC beams resting on elastic foundation based on various higher-order beam theories. Geomech Eng 2023; 33(4): 381.
[6]
Xia L, Wang R, Chen G, Asemi K, Tounsi A. The finite element method for dynamics of FG porous truncated conical panels reinforced with graphene platelets based on the 3-D elasticity. Adv Nano Res 2023; 14(4): 375-89.
[9]
Mangalasseri AS, Mahesh V, Mukunda S, Ponnusami SA, Harursampath D, Tounsi A. Vibration based energy harvesting performance of magnetoelectro-elastic beams reinforced with carbon nanotubes. Adv Nano Res 2023; 14(1): 27-43.
[10]
Arshid E, Khorasani M, Soleimani-Javid Z, Amir S, Tounsi A. Porosity-dependent vibration analysis of FG microplates embedded by polymeric nanocomposite patches considering hygrothermal effect via an innovative plate theory. Eng Comput 2021; 38 (Suppl. 5): 4051-72.
[13]
Ranjith R, Giridharan P K. Experimental investigation on surface hardness and dry sliding wear behaviour of AA7050/B4Cp. HTM 2015; 19(3-4)
[14]
Garg A, Aggarwal P, Aggarwal Y, et al. Machine learning models for predicting the compressive strength of concrete containing nano silica. Comput Concr 2022; 30(1): 33.
[15]
Djilali N, Bousahla AA, Kaci A, Selim MM, Bourada F, et al. Large cylindrical deflection analysis of FG carbon nanotube-reinforced plates in thermal environment using a simple integral HSDT. Steel and Compos Struct 2022; 42(6): 779-89.
[20]
Zerrouki R, Karas A, Zidour M, Bousahla AA, Tounsi A, et al. Effect of nonlinear FG-CNT distribution on mechanical properties of functionally graded nano-composite beam. Structural Engineering and Mechanics. Int J 2021; 78(2): 117-24.
[23]
Heidari F, Taheri K, Sheybani M, Janghorban M, Tounsi A. On the mechanics of nanocomposites reinforced by wavy/defected/aggregated nanotubes. Steel and Composite Structures. Int J 2021; 38(5): 533-45.
[24]
Bekkaye THL, Fahsi B, Bousahla AA, Bourada F. Tounsi et al. Porosity-dependent mechanical behaviors of FG plate using refined trigonometric shear deformation theory. Computers and Concrete. Int J 2020; 26(5): 439-50.
[27]
Abdelkader WB, Arfa H, Bahloul R. Finite element analysis of single point incremental forming process of metallic composite sheet: Application to Titanium-steel bimetal sheet forming. International Conference Design and Modeling of Mechanical Systems. 558-66.
[34]
Jayaraman P, Kumar LM, Jayaseelan V. Multi-response optimization of cutting parameters during end-milling of AA6101 T6 aluminium alloy using grey relational analysis. Int J Appl Eng Res 2015; 10(2): 4275-86.