In the presented study, aluminum metal matrix nanocomposites reinforced with SiC and B4C, with different reinforcement ratios (0–4 wt%), have been prepared using the powder metallurgy method. The main objective of this study is to investigate the effect of different reinforcements and reinforcement amounts on the machinability of metal matrix nanocomposites using different machining processes (WEDM and CNC milling). The surface morphologies of the samples were investigated before and after machining using scanning electron microscopy and chemical analysis of the samples was obtained using EDX and X-ray diffraction. The surface hardness, roughness, and metal removal rate (MRR) before and after machining were examined to investigate the effect of the machining process on the surfaces of the samples. According to the results of the study, the hardness value of the nanocomposite containing 4% B4C by weight (195.6 HB) increased by approximately 90% compared to the hardness value of the pure Al2024 alloy (101.6 HB). After both machining processes, the hardness values of all nanocomposites decreased. In addition, the tensile strength values of the nanocomposites containing 2% B4C and SiC by weight are 392.8 MPa and 377.7 MPa, respectively, while the tensile strength value of the pure Al2024 alloy is 201.7 MPa. After both machining processes, the hardness values of all nanocomposite samples decreased. While the MRR values decreased with the increase in the reinforcement amount of the nanocomposites after machining, the SR values decreased.
GuptaPKumarDQuraishiMA, et al.Influence of processing parameters on corrosion behavior of metal matrix nanocomposites. J Mater Environ Sci2016; 7: 3930–3937.
2.
SadasivuniKKPonnammaDThomasS, et al.Evolution from graphite to graphene elastomer composites. Progress in Polymer Science2014; 39: 749–780.
3.
BodunrinMOAlanemeKKChownLH. Aluminium matrix hybrid composites: a review of reinforcement philosophies; Mechanical, corrosion and tribological characteristics. Journal of Materials Research and Technology2015; 4: 434–445.
4.
CanakciAVarolTErdemirF. The effect of flake powder metallurgy on the microstructure and densification behavior of B4C nanoparticle-reinforced Al–Cu–Mg alloy matrix nanocomposites. Arab J Sci Eng2016; 41: 1781–1796.
5.
VelavanKPalanikumarKNatarajanE, et al.Implications on the influence of mica on the mechanical properties of cast hybrid (Al+10%B4C+Mica) metal matrix composite. J Mater Res Technol2021; 10: 99–109.
6.
AnandVKAherwarAMiaM, et al.Influence of silicon carbide and porcelain on tribological performance of Al6061 based hybrid composites. Tribol Int2020; 151: 106514.
7.
AherwarAPatnaikAPruncuCI. Effect of B4C and waste porcelain ceramic particulate reinforcements on mechanical and tribological characteristics of high strength AA7075 based hybrid composite. J Mater Res Technol2020; 9: 9882–9894.
8.
Kumar SharmaABhandariRAherwarA, et al.A study of advancement in application opportunities of aluminum metal matrix composites. Mater Today Proc2020; 26: 2419–2424.
9.
LiuXLiJLiuE, et al.Towards strength-ductility synergy with favorable strengthening effect through the formation of a quasi-continuous graphene nanosheets coated Ni structure in aluminum matrix composite. Mater Sci Eng A2019; 748: 52–58.
10.
GuoHZhangJZhangY, et al.Influence of hot rolling on mechanical behavior and strengthening mechanism in boron carbide reinforced aluminum matrix composites. In: Minerals, metals and materials series. Springer International Publishing, pp. 851–860.
11.
ChenXSunWBaiY, et al.Novel rhodamine Schiff base type naked-eye fluorescent probe for sensing Fe3+ and the application in cell. J Alloys Compd2018; 191: 566–572.
12.
SinghJChauhanA. Characterization of hybrid aluminum matrix composites for advanced applications – a review. J Mater Res Technol2016; 5: 159–169.
13.
SharmaSJainRRawatV, et al.Structural and mechanical characterization of re-pressed and annealed iron-alumina metal matrix nanocomposites. J Compos Mater2018; 52: 1541–1556.
14.
YuPKimKBDasJ, et al.Fabrication and mechanical properties of Ni-Nb metallic glass particle-reinforced Al-based metal matrix composite. Scr Mater2006; 54: 1445–1450.
15.
KarabacakAHÇanakçıAErdemirF, et al.Corrosion and mechanical properties of novel AA2024 matrix hybrid nanocomposites reinforced with B4C and SiC particles. Silicon2022; 14: 8567–8579.
16.
AltınkökN. Investigation of mechanical and machinability properties of Al2O3/SiCp reinforced Al-based composite fabricated by stir cast technique. J Porous Mater2015; 22: 1643–1654.
17.
OzbenTKilickapEÇakirO. Investigation of mechanical and machinability properties of SiC particle reinforced Al-MMC. J Mater Process Technol2008; 198: 220–225.
18.
ÇevikZAKarabacakAHKökM, et al.The effect of machining processes on the physical and surface characteristics of AA2024-B4C-SiC hybrid nanocomposites fabricated by hot pressing method. J Compos Mater2021; 55: 2657–2671.
19.
SenthilkumarCGanesanGKarthikeyanR, et al.Modelling and analysis of electrochemical machining of cast Al/20%SiCp composites. Mater Sci Technol2010; 26: 289–296.
20.
MandalADixitARDasAK, et al.Modeling and optimization of machining nimonic C-263 superalloy using multicut strategy in WEDM. Mater Manuf Process2016; 31: 860–868.
21.
FardRKAfzaRATeimouriR. Experimental investigation, intelligent modeling and multi-characteristics optimization of dry WEDM process of Al–SiC metal matrix composite. J Manuf Process2013; 15: 483–494.
22.
ZhaoYTangDHuL, et al.Concurrent working memory task decreases the Stroop interference effect as indexed by the decreased theta oscillations. Precis Eng2014; 262: 92–106.
23.
ReddyMCVenkata RaoKSureshG. An experimental investigation and optimization of energy consumption and surface defects in wire cut electric discharge machining. J Alloys Compd2021; 861: 158582.
24.
KarmakarRMajiP. Research advancements in machining of metal matrix composites through wire electro discharge machining technique. Mater Today Proc2021; 44: 4457–4461.
25.
ChenJGuLLiuX, et al.Combined machining of SiC/Al composites based on blasting erosion arc machining and CNC milling. Int J Adv Manuf Technol2018; 96: 111–121.
26.
WuBYanXLuoM, et al.Cutting force prediction for circular end milling process. Chinese J Aeronaut2013; 26: 1057–1063.
27.
JiangJRYenCT. Product quality prediction for wire electrical discharge machining with markov transition fields and convolutional long short-term memory neural networks. Appl Sci2021; 11: 5922.
28.
MuDKQZhangZXieYH, et al.The microstructures and mechanical properties of a 5vol%SiC/AA2024 nanocomposite fabricated by powder metallurgy. Mater Charact2021; 175: 111090.
29.
UenoTYoshiokaTOgawaJ, et al.Highly thermal conductive metal/carbon composites by pulsed electric current sintering. Synth Met2009; 159: 2170–2172.
30.
ChuKWuQJiaC, et al.Fabrication and effective thermal conductivity of multi-walled carbon nanotubes reinforced Cu matrix composites for heat sink applications. Compos Sci Technol2010; 70: 298–304.
31.
VialaJCBouixJGonzalezG, et al.Chemical reactivity of aluminium with boron carbide. J Mater Sci1997; 32: 4559–4573.
32.
AlizadehMAlizadehMAminiR. Structural and mechanical properties of Al/B4C composites fabricated by wet attrition milling and hot extrusion. J Mater Sci Technol2013; 29: 725–730.
33.
HafizpourHRSanjariMSimchiA. Analysis of the effect of reinforcement particles on the compressibility of Al–SiC composite powders using a neural network model. Mater Des2009; 30: 1518–1523.
34.
Kumar MauryaNMauryaMSrivastavaAK, et al.Investigation of mechanical properties of Al 6061/SiC composite prepared through stir casting technique. Mater Today Proc2020; 25: 755–758.
35.
KarnamMShivaramakrishnaAJoshiR, et al.Study of mechanical properties and drilling behavior of Al7075 reinforced with B4C. In: Materials today: proceedings. Elsevier Ltd, 2018, pp. 25102–25111.
36.
ErdemirFCanakciAVarolT. Microstructural characterization and mechanical properties of functionally graded Al2024/SiC composites prepared by powder metallurgy techniques. Trans Nonferrous Met Soc China2015; 25: 3569–3577.
37.
PhateMRToneySB. Modeling and prediction of WEDM performance parameters for Al/SiCp MMC using dimensional analysis and artificial neural network. Eng Sci Technol an Int J2019; 22: 468–476.
38.
MarigoudarRNSadashivappaK. Effect of machining parameters on MRR and surface roughness in machining of ZA43/SiCp composite by WEDM. Int J Appl Sci Eng2013; 11: 317–330.
39.
BansalPUpadhyayL. Effect of turning parameters on tool wear, surface roughness and metal removal rate of alumina reinforced aluminum composite. Procedia Technol2016; 23: 304–310.
40.
Suresh KumarSUthayakumarMThirumalai KumaranS, et al.Parametric optimization of wire electrical discharge machining on aluminium based composites through grey relational analysis. J Manuf Process2015; 20: 33–39.
41.
Suresh KumarSUthayakumarMThirumalai KumaranS, et al.Investigating the surface integrity of aluminium based composites machined by EDM. Def Technol2019; 15: 338–343.
42.
MostafaporAVahediHBanuA. Wire electrical discharge machining of AZ91 magnesium alloy; investigation of effect of process input parameters on performance characteristics. Eng Res Express2019; 1: 015005.
