Investigation of Drilling Parameters Using Grey Relational Analysis and Response Surface Methodology of Biaxial Glass Fibre Reinforced with Modified Epoxy Resin Composite

Priya, I. Infanta Mary; Vinayagam, B. K.

doi:10.1155/2018/8629894

Cited by 11 publications

(4 citation statements)

References 15 publications

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“…14 An investigation on the impact of various glass fiber/graphene/epoxy composite thicknesses on drilling performance was studied. 15 It was reported that lower thickness (2 mm) of composite had excellent performance for high-speed steel (HSS) drill at higher speed and lower feed rate. The effect of various drilling parameters such as feed rate and speed on delamination and tool wear for 6 mm thick of GFRP composite was examined.…”

Section: Introductionmentioning

confidence: 99%

The effects of drilling parameters on thrust force, temperature and hole quality of glass fiber reinforced polymer composites

Malik

Ahmad

Keong

et al. 2022

Polymers and Polymer Composites

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This paper presents an investigation of the drilling performance of glass fiber reinforced polymer (GFRP) composite based on the thrust force, temperature, and delamination factor (at entry and exit of the hole). High-speed steel (HSS), solid carbide (SC), and solid carbide Balinit® Helica coated (SCBH) twist tools were used for the drilling process. Other drilling parameters were high spindle speeds (12,000, 15,000, and 18,000 rpm), feed rate (300, 500, and 700 mm/min), and laminate thickness (3, 5, and 7 mm). ANOVA and response surface methodology were developed to examine the drilling process based on input and output parameters. Results showed that delamination was observed in the form of matrix debonding, uncut fibers, and fiber pull-out. The best drilling performance was achieved by the SC and SCBH tool at a low feed rate (300 rpm) and high speed (18,000 rpm), and high laminate thickness (7 mm).

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Section: Introductionmentioning

confidence: 99%

The effects of drilling parameters on thrust force, temperature and hole quality of glass fiber reinforced polymer composites

Malik

Ahmad

Keong

et al. 2022

Polymers and Polymer Composites

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“…It indicates the uncertainty in the measured ap proximation values. In a recent study, the error bar was an informative tool to show the goodness of fit or dispersion of the data set [55,56]. In detail, statistical testing such as hypothesis testing, confidence interval and ttest should be performed to draw the final conclusion.…”

Section: Materials Selection Based On Performance Of Mechanical Propermentioning

confidence: 99%

Statistical inferences in material selection of a polymer matrix for natural fiber composites

et al. 2020

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In this paper, statistical inferences in material selection of polymer matrix for natural fiber composite are presented. Hypothesis testing and confidence interval were used to evaluate the suita bility of the sample for use as a matrix in natural fiber reinforced composites. The screening process for material selection was carried out using a stepwise regression method. Then, the ranking process in ma terial selection was conducted using an estimation of performance score (PS) for mechanical pro perties such as impact strength (IS), elongation at break (E) and tensile strength (TS). Ten types of polymer were involved in the study. The final selection revealed that polyamide (PA6), polyurethanes (PUR) and polypropylene (PP) are the potential candidates to manufacture handbrake levers according to IS, E and TS, respectively. Here, it was found that the score for Tp (thermoplastic) is better than Ts (thermoset) in terms of IS. In contrast, the Ts offered a better score result than, Tp, with respect to E and TS. The results of statistical measurements using statistical modelling prove that the data analysis can be used as a part of the decision making in material selection.

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“…Gray Relational Analysis, more commonly abbreviated as GRA, is one of the Multi-Criteria Decision Making (MCDM) approaches that is one of the most widely used for the resolution of multi-criteria problems. The GRA was selected as the methodology to explore the various outcomes, and the findings demonstrated that it was an effective strategy [22][23][24]. Although the GRA has many beneficial elements, the performance characteristics are not well understood, and there is a significant degree of uncertainty regarding the method that the GRA takes.…”

Section: Introductionmentioning

confidence: 99%

Application of Hybrid ANFIS Tool for Laser Beam Welding of Inconel 625 Alloy

Palanisamy,

Devaraju,

Natarajan

et al. 2023

DFMA

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Over the past decade, there has been a steady rise in the application of laser sources; this has led to reduced costs and enhanced output. One aspect that has played a part and helped to the quickening of this phenomena is the invention of new techniques such as laser beam welding systems. These developments in technology have made it feasible to produce both tiny and large parts. The usage of nickel alloy can provide considerable benefits in a wide variety of contexts. The advantages acquired from combining difficult materials, such as metal alloys, are responsible for these benefits. Manufacturing equipment for the chemical, nuclear, maritime, aeronautical, and automotive industries all rely on components made from Inconel 625. It can withstand potentially corrosive situations without losing its outstanding mechanical qualities. Investigation of nickel alloy weldments is required for the improvement of the production method. The goal of this piece is to develop an ANFIS (Adaptive Neuro Fuzzy Inference System) based on Grey theory that can reliably forecast LBW variables. The values predicted by the model were compared with the results of the experiments, and it was discovered that the values found in the experiments are closely related to the values anticipated by the model. The manufacturer can make decisions that are more in accordance with the available facts due to the evidence provided by the performance investigation.

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Investigation of Drilling Parameters Using Grey Relational Analysis and Response Surface Methodology of Biaxial Glass Fibre Reinforced with Modified Epoxy Resin Composite

Cited by 11 publications

References 15 publications

The effects of drilling parameters on thrust force, temperature and hole quality of glass fiber reinforced polymer composites

The effects of drilling parameters on thrust force, temperature and hole quality of glass fiber reinforced polymer composites

Statistical inferences in material selection of a polymer matrix for natural fiber composites

Application of Hybrid ANFIS Tool for Laser Beam Welding of Inconel 625 Alloy

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