Optimization of drilling delamination behavior of GFRP/clay nano-composites using RSM and GRA methods

Ragunath, S.; Velmurugan, C.; Kannan, T.

doi:10.1007/s12221-017-7420-4

Cited by 20 publications

(8 citation statements)

References 39 publications

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“…From Figure , it is observed that the correlation between residuals and run orders is evenly distributed on positive and negative for all experiments. [ 17 ]…”

Section: Resultsmentioning

confidence: 99%

Effects of Graphene Oxide Nanoparticles on Delamination in CFRP and Optimization Using Response Surface Modeling

Chandran,

Kumar,

Narayanan

et al. 2023

Macromolecular Symposia

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Carbon fiber composites recently have captured the attention of many for their wide array of properties surpassing those of traditional metals. Carbon fiber‐reinforced plastic (CFRP) has several excellent properties like a high strength‐to‐weight ratio, better chemical resistance, and other strength characteristics. But one problem affecting the use of CFRP is its delamination. This occurs during drilling holes for various operations. It is a known fact that the aircraft industry is one such industry very much dependent on such drilling operations. Failures such as fiber rupture, surface irregularities, micro‐crack formation, and deformations around drilling regions are commonly encountered during the machining of CFRP composite. This research has studied the effects of graphene oxide nanoparticles on delamination in the drilling of CFRP composite. Carbon fiber is manufactured using a vacuum bag process. The optimum conditions for the drilling process are found by using response surface modeling (RSM) which leads to minimum delamination in CFRP fabricated.

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“…From Figure , it is observed that the correlation between residuals and run orders is evenly distributed on positive and negative for all experiments. [ 17 ]…”

Section: Resultsmentioning

confidence: 99%

Effects of Graphene Oxide Nanoparticles on Delamination in CFRP and Optimization Using Response Surface Modeling

Chandran,

Kumar,

Narayanan

et al. 2023

Macromolecular Symposia

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show abstract

“…RSM with Box-Behnken design (BBD) was used to optimise the selected independent factors of the extraction conditions (Zhang et al 2017, Ragunath et al 2017. Table S1 shows the range and center point values of the three independent variables based on the results of the single-factor test.…”

Section: Optimisation Of the Impregnation-extraction Processmentioning

confidence: 99%

Fast and non–derivative method based on high–performance liquid chromatography–charged aerosol detection for the determination of fatty acids from Agastache rugosa (Fisch. et Mey.) O. Ktze. seeds

Yang

et al. 2018

Natural Product Research

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This study utilised response surface methodology to optimise the conditions for the extraction of A. rugosa seeds oil (ARO). Single-factor experiment and response surface methodology (RSM) were performed to identify the extraction time, liquid-solid ratio and extraction temperature that provided the highest yield of ARO. The optimal extraction time, liquid-solid ratio and extraction temperature were 8 h, 4:1 mL/g and 55 °C. The fatty acids (FAs) content and oil yield obtained through the optimised impregnation-extraction process were 19.67 mg/g and 32.1%. These values matched well with the predicted values. Linolenic acid was identified to be the main active ingredient of ARO. The high-performance liquid chromatography-charged aerosol detection method presented here is fast and does not require derivatisation. Therefore, it could be used to quantitatively analyse the FAs present in ARO and applied to detect compounds with low or no ultraviolet response.

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“…[36][37][38] Process parameters like speed, feed, drill diameter and depth of cut were mostly considered while the responses considered were delamination at entry and exit, thrust force and torque. [39][40][41] Few authors used Taguchi technique and TOPSIS method to determine the delamination at entry and exit and thrust force during the drilling of waste tea leaves filled pineapple fiber reinforced epoxy composites. Results obtained through Taguchi method were compared with the TOPSIS method.…”

Section: Introductionmentioning

confidence: 99%

Machinability analysis of Typha angustifolia natural fiber reinforced composites through experimental modeling – Influence of fiber orientation

et al. 2023

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Natural fiber composites are currently considered to be the most sustainable and renewable substitute for synthetic fiber composites in several low and medium‐density applications. Various research works are ongoing to evaluate the machinability of plant‐based natural fiber composites. In the current investigation, an attempt has been made to fabricate and examine the drilling behavior of Typha angustifolia fiber reinforced (TAFR) composite. Composites were manufactured using Typha angustifolia fibers in unidirectional (UD) and bidirectional (BD) orientations using the epoxy matrix through the compression molding technique. Fibers were characterized using the X‐ray diffraction method to determine the crystallinity index and crystallite size. Drilling experiments were conducted on TAFR composites and using Taguchi's L18 mixed‐level design with various process parameters the experiments were conducted. The optimal experimental combination rendering the lowest value of exit delamination and thrust force was determined using Taguchi‐TOPSIS hybrid approach. A quadratic model was also developed to predict the response of drilling. Drilled hole morphology was analyzed using scanning electron microscopy to know about various failure mechanisms and damages induced during the drilling operations. It was found from the results that the lowest speed and feed rate and higher drill diameter rendered minimal delamination and thrust force for both UD and BD TAFR composites.

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Optimization of drilling delamination behavior of GFRP/clay nano-composites using RSM and GRA methods

Cited by 20 publications

References 39 publications

Effects of Graphene Oxide Nanoparticles on Delamination in CFRP and Optimization Using Response Surface Modeling

Effects of Graphene Oxide Nanoparticles on Delamination in CFRP and Optimization Using Response Surface Modeling

Fast and non–derivative method based on high–performance liquid chromatography–charged aerosol detection for the determination of fatty acids from Agastache rugosa (Fisch. et Mey.) O. Ktze. seeds

Machinability analysis of Typha angustifolia natural fiber reinforced composites through experimental modeling – Influence of fiber orientation

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