2017
DOI: 10.1080/10426914.2017.1279296
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Fiber laser cutting of CFRP composites and process optimization through response surface methodology

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Cited by 88 publications
(32 citation statements)
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References 40 publications
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“…Taguchi method and Sequential Quadratic Programming algorithm [140] Genetic Algorithm [141] Taguchi method and Neural network [142] Taguchi method and regression model [18] Taguchi method and ANOVA [104,143] Taguchi method and Genetic algorithm [102] Grey fuzzy logic [144] Harmony search algorithm, Nonlinear regression, Fuzzy Inference System [145,146] Response surface methodology [147,148] Artificial neural network [149] Taguchi method and fuzzy logic [150] Taguchi method and response surface methodology [147] Taguchi method, response surface methodology, ANOVA [151] Taguchi method [152] Group method data handling algorithm [153] Ant colony algorithm [154] Particle swarm optimization and gradient-based training of artificial neural network [155] Particle swarm optimization-Gravitational search algorithm [156] Artificial Bee Colony algorithm [157]…”
Section: Optimization Technique Referencementioning
confidence: 99%
“…Taguchi method and Sequential Quadratic Programming algorithm [140] Genetic Algorithm [141] Taguchi method and Neural network [142] Taguchi method and regression model [18] Taguchi method and ANOVA [104,143] Taguchi method and Genetic algorithm [102] Grey fuzzy logic [144] Harmony search algorithm, Nonlinear regression, Fuzzy Inference System [145,146] Response surface methodology [147,148] Artificial neural network [149] Taguchi method and fuzzy logic [150] Taguchi method and response surface methodology [147] Taguchi method, response surface methodology, ANOVA [151] Taguchi method [152] Group method data handling algorithm [153] Ant colony algorithm [154] Particle swarm optimization and gradient-based training of artificial neural network [155] Particle swarm optimization-Gravitational search algorithm [156] Artificial Bee Colony algorithm [157]…”
Section: Optimization Technique Referencementioning
confidence: 99%
“…This is due the fact that at higher pulse frequency composite surface got sufficient time to burn properly. Thus, it has been observed that the range of better kerf quality characteristics may be found at the lower lamp current (160-180 Amp) and compressed air pressure (8-9 Kg/cm 2 ), moderate pulse frequency (25)(26)(27)(28)(29)(30), and higher pulse width (2.3-2.6 ms) cutting speed (100-200 mm/min). In the present study, the experiments have performed to single index optimization of the pulsed Nd: YAG laser parameters to obtain precise geometries of cut for a 1.35 mm thick hybrid Kevlar-29/Basalt fiber composite laminate.…”
Section: Effects Of Laser Parameters On Single Index Of Kerf Quality mentioning
confidence: 99%
“…They revealed that cutting speed and lamp current was the most significant factor for the top and bottom kerf deviation, respectively. Rao et al [28] have used response surface methodology (RSM) to optimize laser parameters such as laser power, beam scanning speed and assist gas flow rate to achieve higher cutting surface quality in terms of kerf width, taper percentage, and heat affected zone. They observed a remarkable improvement in cut quality characteristics.…”
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%