2018
DOI: 10.1016/j.compstruct.2018.06.041
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Investigation on delamination and flexural properties in drilling of carbon nanotube/polymer composites

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Cited by 68 publications
(20 citation statements)
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“…Poor surface roughness and inter-laminar delamination aid crack initiation and propagation as well as fibre-matrix de-bonding damage. These damages reduce the load bearing capacity, efficiency and structural integrity (durability) of the FRP composite components of systems [11]. Hence, there is need to understand these problems in terms of their mechanisms of propagation during AWJ drilling operation.…”
Section: Introductionmentioning
confidence: 99%
“…Poor surface roughness and inter-laminar delamination aid crack initiation and propagation as well as fibre-matrix de-bonding damage. These damages reduce the load bearing capacity, efficiency and structural integrity (durability) of the FRP composite components of systems [11]. Hence, there is need to understand these problems in terms of their mechanisms of propagation during AWJ drilling operation.…”
Section: Introductionmentioning
confidence: 99%
“…They planned experiments by Taguchi method and investigated geometric deviations to find optimum levels of parameters (Meral et al, 2011). There are lots of experimental works on optimization of drilling parameters for different materials (Ramesha et al, 2018, Heidary et al, 2018, Motorcu et al, 2014, Kaplan et al, 2015.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, numerous authors have proposed the entry and exit delamination influence factors [18], and the thrust force [19][20][21], torque [22] and surface roughness [23,24] have been discussed. Moreover, using statistical techniques such as the Taguchi method [25,26], response surface methodology (RSM) [27,28], gray relational analysis (GRA) and corresponding hybrid methods [29][30][31] were proposed by many authors to obtain high-quality holes using drilling. Although many researchers widely used statistical optimization techniques to solve multiobjective optimization problems simultaneously, the solutions provided by the statistical techniques are often discrete combinations of a predetermined level of process parameters, and sometimes, these combinations may not be optimum.…”
Section: Introductionmentioning
confidence: 99%