2017
DOI: 10.1016/j.proeng.2016.12.262
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Fabrication and Hardness Analysis of F-MWCNTs Reinforced Aluminium Nanocomposite

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Cited by 13 publications
(7 citation statements)
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“…The predicted GRG model may be (i) Linear, (ii) Quadratic, or (iii) Cubic to experimental GRG value. The relationship between the predicted GRG and the experimental GRG are given by equations ( 10) - (12) Predicted value for GRG ¼ 0:05,658 þ 0:8158 * Experimental value for GRG (10) Predicted value for GRG ¼ À0:2296 þ 1:797 * Experimental value for GRG À 0:7409 * Experimental value for GRG^2 (11) Predicted value for GRG ¼ 0:3367 À 1:296 * Experimental value for GRG þ 4:542 * Experimental value for GRG^2 À 2:780 * Experimental value for GRG^3 (12) The R 2 and adjusted R 2 values for the linear model are 0.887 and 0.88, respectively. Similarly, the R 2 and adjusted R 2 values for the quadratic model are 0.91 and 0.902, respectively.…”
Section: Regression Model For Grey Relational Gradementioning
confidence: 99%
See 1 more Smart Citation
“…The predicted GRG model may be (i) Linear, (ii) Quadratic, or (iii) Cubic to experimental GRG value. The relationship between the predicted GRG and the experimental GRG are given by equations ( 10) - (12) Predicted value for GRG ¼ 0:05,658 þ 0:8158 * Experimental value for GRG (10) Predicted value for GRG ¼ À0:2296 þ 1:797 * Experimental value for GRG À 0:7409 * Experimental value for GRG^2 (11) Predicted value for GRG ¼ 0:3367 À 1:296 * Experimental value for GRG þ 4:542 * Experimental value for GRG^2 À 2:780 * Experimental value for GRG^3 (12) The R 2 and adjusted R 2 values for the linear model are 0.887 and 0.88, respectively. Similarly, the R 2 and adjusted R 2 values for the quadratic model are 0.91 and 0.902, respectively.…”
Section: Regression Model For Grey Relational Gradementioning
confidence: 99%
“…Hussain et al fabricated MWCNTs/Al nanocomposite, which was a lightweight material, and evaluated its hardness property. 12 However, the researchers did not investigate the optimum mass density and hardness by optimizing powder metallurgy process parameters, which created the need to find the physical and mechanical properties of the composite.…”
Section: Introductionmentioning
confidence: 99%
“…There was also an increase in hardness as the percentage of Al-Ti5-B1 increased from 1-3%. There are so many other reinforcement materials found in literature such as barium carbide, hematite, multiwalled carbon nanotubes among others (Hussain, Khan, Chanda, & Jangid, 2017;Ikubanni et al, 2020;Ipekoglu et al, 2017;Saravanakumar et al, 2014;Ozer, 2016). Some researchers combined two or more reinforcement materials to form hybrid reinforced aluminium composite.…”
Section: Hybrid and Other Reinforcement Materialsmentioning
confidence: 99%
“…The use of solid-state processes (powder metallurgy and extrusion) for producing aluminium matrix composites has been studied by several researchers (Chen et al, 2020;Gomez et al, 2009;Wąsik, Leszczy nska-Madej, Madej, & Goły, 2020). Powder metallurgy process involves the mixing, degassing and sintering of metal alloy and the reinforcements (Awotunde et al, 2019;Muni et al, 2019;Goyal & Marwaha, 2016;Hussain et al, 2017;Liu, Zhang, Gou, & Ding, 2017). The use of powder metallurgy as a fabrication process in the production of aluminium composite enhances easy control of material properties.…”
Section: Powder Metallurgymentioning
confidence: 99%
“…Carbon nanotubes became important reinforcements for metals and alloys as they have a very high strength and very high Young's modulus [2][3]. The hardness value of composite (MWCNTs/Al) depends highly on mass density, weight percentage of f-MWCNTs, milling time and also fine structure of nano-composite [4]. Multi-walled carbon nanotube reinforced Al composite powders were successfully fabricated by a novel wet shake-mixing technique without introducing significant deformation or defects to the MWCNT with uniform distribution and the cylindrical structure of MWCNT is useful for improvement of overall properties of composite [5].…”
Section: Introductionmentioning
confidence: 99%