Analysis on Drilling of Glass Fiber–Reinforced Polymer (GFRP) Composites Using Grey Relational Analysis

Palanikumar, K.; Latha, B.; Senthilkumar, V.; Davim, J. Paulo

doi:10.1080/10426914.2011.577865

Cited by 134 publications

(67 citation statements)

References 25 publications

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“…However, at a spindle speed of 11 m/min the heat generated by friction between the major and minor cutting edges and the work material induces softening of the matrix. The results presented are in correlation with the results presented by Palanikumar et al [6] where glass ber reinforced epoxy composite was used as workpiece material.…”

Section: Resultssupporting

confidence: 80%

Effects of cutting parameters on delamination during drilling of Polyphthalamide (PPA) Matrix Composite Material with 30% Glass Fiber Reinforcement

Fıçıcı

Ayparcasi

2015

Acta Phys. Pol. A

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The drilling of glass ber reinforced plastics (GFRP) often results in damage around the drilled hole. The drilling of such composite material may generate delamination of drilled holes on workpiece. The aim of this research is to investigate the inuence of the drilling parameters, such as cutting speed, feed rate and dierences in cutting materials on delamination produced while drilling GFRP composite. The experimental results indicate that the feed rate is the most signicant factor, followed by spindle speed and cutting tool material. The best results were obtained at lower feed rates and higher spindle speeds when using Carbide drill.

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Section: Resultssupporting

confidence: 80%

Effects of cutting parameters on delamination during drilling of Polyphthalamide (PPA) Matrix Composite Material with 30% Glass Fiber Reinforcement

Fıçıcı

Ayparcasi

2015

Acta Phys. Pol. A

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“…Larger the F value indicates that the change in process parameter have more strong affect on the multiple performance index. 21 The value of the predicted grey relational grade for the confirmation test carried out at the optimal level of the parameter i.e. A1B1 is 0.8030 and that obtained from the experiment is 0.8331.…”

Section: Discussionmentioning

confidence: 99%

“…Higher the slope of the graph shows that the corresponding parameter has more influence on the multiple performance response. 21 The feed rate has the highest influence on grey relational grade followed by the spindle speed. The optimal combination of parameter level for bone drilling is identified as: level 1 of drill diameter (A1) and level 1 of feed rate (B1).…”

Section: Discussionmentioning

confidence: 99%

Optimization of multiple quality characteristics in bone drilling using grey relational analysis

Pandey

Panda

2015

Journal of Orthopaedics

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Bone drillingGrey relational analysis (GRA) Analysis of variance (ANOVA) a b s t r a c t Purpose: Drilling of bone is common during bone fracture treatment to fix the fractured parts with screws wires or plates. Minimally invasive drilling of the bone has a great demand as it helps in better fixation and quick healing of the broken bones. The purpose of the present investigation is to determine the optimum cutting condition for the minimization of the temperature, force and surface roughness simultaneously during bone drilling.Method: In this study, drilling experiments have been performed on bovine bone with different conditions of feed rate and drill rotational speed using full factorial design.Optimal level of the drilling parameters is determined by the grey relational grade (GRG) obtained from the GRA as the performance index of multiple quality characteristics. The effect of each drilling parameter on GRG is determined using analysis of variance (ANOVA) and the results obtained are validated by confirmation experiment.Results: Grey relational analysis showed that the investigation with feed rate of 40 mm/min and spindle speed of 500 rpm has the highest grey relational grade and is recommended setting for minimum temperature, force and surface roughness simultaneously during bone drilling. Feed rate has the highest contribution (59.49%) on the multiple performance characteristics followed by the spindle speed (37.69%) as obtained from ANOVA analysis. Conclusions:The use of grey relational analysis will simplify the complex process of optimization of the multi response characteristics in bone drilling by converting them into a single grey relational grade. The use of the above suggested methodology can greatly minimize the bone tissue injury during drilling.

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“…Chen and Chen [45] propose and integrate DEMATEL, Fuzzy-AHP and GRA. Palanikumar et al [46] use GRA for optimizing the drilling parameters of composite materials.…”

Section: Fuzzy-gra Literaturementioning

confidence: 99%

A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey

et al. 2013

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Abstract:In this paper, we aim to select the most appropriate Hydrogen Energy Storage (HES) method for Turkey from among the alternatives of tank, metal hydride and chemical storage, which are determined based on expert opinions and literature review. Thus, we propose a Buckley extension based fuzzy Analytical Hierarchical Process (Fuzzy-AHP) and linear normalization based fuzzy Grey Relational Analysis (Fuzzy-GRA) combined Multi Criteria Decision Making (MCDM) methodology. This combined approach can be applied to a complex decision process, which often makes sense with subjective data or vague information; and used to solve to solve HES selection problem with different defuzzification methods. The proposed approach is unique both in the HES literature and the MCDM literature.

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Analysis on Drilling of Glass Fiber–Reinforced Polymer (GFRP) Composites Using Grey Relational Analysis

Cited by 134 publications

References 25 publications

Effects of cutting parameters on delamination during drilling of Polyphthalamide (PPA) Matrix Composite Material with 30% Glass Fiber Reinforcement

Effects of cutting parameters on delamination during drilling of Polyphthalamide (PPA) Matrix Composite Material with 30% Glass Fiber Reinforcement

Optimization of multiple quality characteristics in bone drilling using grey relational analysis

A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey

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