2021
DOI: 10.1177/00952443211020049
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Prediction and optimization of mechanical properties of PA6/NBR/graphene nanocomposites fabricated by friction stir processing

Abstract: The friction stir process (FSP) method used to prepare polyamide 6 (PA6)/nitrile-butadiene rubber (NBR) nanocomposites with 1 wt% Graphene nanoparticles. Response surface methodology (RSM) and Box-Behnken design were used to study the effects of four input variables including tool rotational speed (ω), shoulder temperature (T), traverse speed (S), and the number of passes (N) on tensile strength and impact strength of PA6/NBR/Graphene nanocomposite. In order to investigate the dispersion state of Graphene and … Show more

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Cited by 5 publications
(9 citation statements)
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“…The relationship between independent variables and dependent variables is explored and analyzed forming a predictive responsive model in RSM. 23,182–187…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
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“…The relationship between independent variables and dependent variables is explored and analyzed forming a predictive responsive model in RSM. 23,182–187…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
“…For instance, the maximum impact strength can be obtained at high rotation speed and low traverse speed while increasing the rotational speed and decreasing the shoulder temperature can enhance the tensile strength as displayed in the contour and 3D surface plot. 186 Therefore, the optimized process parameter is determined in the contour plot which can remarkably improve the efficiency and reduce the experiment and financial input of the research activity. 186,213…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
“…By combining, Equations ( 3) and ( 4), the relationship between the specific works in two parts of energy can be written as follow [33] :…”
Section: Ewf Methodsmentioning
confidence: 99%
“…On other hands, the fracture energy during the crack development consists of the energy absorption or the energy consumption in two parts of yielding and necking‐tearing based on the energy‐partitioned approach recommended by Karger–Kocsis. Thus, the w f as a function of the work of yield region ( W y ) and work of necking and tearing region ( W n ) can be indicated in the following equation: Wf=Wy+Wn. By combining, Equations () and (), the relationship between the specific works in two parts of energy can be written as follow [ 33 ] : wf=we,y+βl.wp,y+we,n+βl.wp,n. As can be seen from Figure 3B and Equation (), y and n represent the applied work in regions of yielding and necking tearing, respectively. Thus, in this equation, w e,y , and w e,n are the specific EWF in yielding and necking‐tearing regions.…”
Section: Methodsmentioning
confidence: 99%
“…The higher amount of ferrite dispersed in the nanocomposites tended to weaken the material by increasing restriction to molecular mobility. 72 Ferrite calcination negatively affected the impact strength of Note: T m = crystalline melting temperature; ΔH m = crystalline melting enthalpy; X c = degree of crystallinity, calculated by…”
Section: Mechanical Propertiesmentioning
confidence: 99%