Optimization of thrust, torque, entry, and exist delamination factor during drilling of CFRP composites

Abhishek, Kumar; Datta, Saurav; Mahapatra, Siba Sankar

doi:10.1007/s00170-014-6199-3

Cited by 81 publications

(47 citation statements)

References 40 publications

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“…Moreover, as the point angle of a drill bit increases, the contact area of the hole increases, resulting in an increase in the thrust force. The feed rate is directly related to the contact area; therefore, as the feed rate increases, the buildup on the edge of the tool, which enhances heat generation and the thrust force, is promoted irrespective of the nanocontent percentage, causing delamination of the workpiece [37,38]. According to many researchers, as the feed rate increases, the thrust force increases in drilling processes, which coincides with the results obtained in the present investigation, as shown in Fig.…”

Section: Effect Of Thrust Force On Drilling Parameterssupporting

confidence: 91%

“…Many successful attempts have been made by researchers in the past decades using several novel approaches, such as the non-sorting dominated genetic algorithm-II (NSGA-II) [6], genetic algorithms (GAs) [7,8], artificial neural networks (ANNs) [9][10][11], teaching-learning-based optimization [12,13], particle swarm optimization (PSO) [14,15] and the simulated annealing algorithm [16,17], to identify suitable process parameters to reduce the occurrence of surface defects in composites during drilling. 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.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and evolutionary computation on drilling of carbon fiber-reinforced polymer nanocomposite: an integrated approach using RSM based PSO

Vijayan

Rajmohan

2019

J Braz. Soc. Mech. Sci. Eng.

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Among the various classifications of fiber-reinforced polymer composites, carbon fiber-reinforced plastic (CFRP) composite materials have great potential in aerospace, automobile and marine industries. Drilling is a common machining process of CFRP composites. Surface delamination, tearing, abrasion, denting, cutting of fibers, formation of voids, fiber bending and pullout, etc. are significant problems that occur in the drilling of CFRP composites, among which surface delamination is identified as a critical issue. By optimizing the drilling parameters, the effect of delamination can be minimized, resulting in good quality holes. The drilling process involves several critical process parameters. Therefore, achieving accurate holes during the process is extremely difficult. Three significant drilling process parameters were considered in the present investigation aimed at achieving an optimum drilling response: the thrust force and entry and exit delamination factors. An integrated response surface methodology-based particle swarm algorithm was used to obtain optimal drilling parameters. The obtained optimal settings for CFRP drilling are a drilling speed of 1100 rpm, a feed rate of 5 mm/rev, 5% CNTs and a 110° point angle. The high feed rate increases the thrust force and entry and exit delamination factors in the drilling of fabricated hybrid nano-CNT/CFRP composites.

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Section: Effect Of Thrust Force On Drilling Parameterssupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Modeling and evolutionary computation on drilling of carbon fiber-reinforced polymer nanocomposite: an integrated approach using RSM based PSO

Vijayan

Rajmohan

2019

J Braz. Soc. Mech. Sci. Eng.

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“…The recent studies on drilling optimization of FRP composites (e.g., (Sonkar et al 2014;Abhishek et al 2014)) did not verify if there is a statistical significance of process parameters (i.e., cause and effect/hypothesis testing) prior to applying a single or multi-objective optimization algorithm to minimize/maximize the process outputs via changes the input parameters. Pertinent to hypothesis testing, the study (Davim and Reis 2003) showed that with a significance level of 5 %, the cutting speed has a less influence on the peel-up, when compared to the effect of feed rate.…”

Section: Motivation Of the Present Studymentioning

confidence: 99%

Drilling optimization of woven CFRP laminates under different tool wear conditions: a multi-objective design of experiments approach

Feito

Milani

Muñoz-Sánchez

2015

Struct Multidisc Optim

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“…Y is the machinability output, β 0 is intercept, β [1][2][3][4][5][6] , are coefficients of the empirical model, K is the drill bit angle, V is the cutting speed, and f is the feed rate. …”

Section: Empirical Modellingmentioning

confidence: 99%

Optimization of process parameters in drilling of SMC composites using Taguchi method

Can

Ünüvar

2017

Teh. vjesn.

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Original scientific paper This paper has presented and discussed machinability in the drilling of SMC (Sheet Mould Compound) A-Class composite materials using Taguchi's DoE method. The thrust forces, surface roughness and push-out -peel-up delamination behaviour in drilling process for glass fibre reinforced SMC composites have been evaluated. The experimental results and the contribution ratio of parameters on machinability outputs have been statistically analysed by ANOVA. Analysis of variance shows that drill bit angle is the prominent parameter followed by feed rate and cutting speed that contributes towards output responses. Confirmation experiments performed with the optimum parameter condition levels show a reduction in thrust force by 9,8 %, surface roughness by 33,3 %, push-out delamination by 2,5 % and peel-up delamination by 1,38 %. A detailed deformation analysis was investigated for SMC composites. For the empirical modelling of machinability, outputs of SMC composites can be modelled with the quadratic polynomial regression model in a higher range of accuracy. Keywords: SMC (Sheet Mould Compound); drilling; delamination; Taguchi; ANOVA Optimizacija parametara obrade u bušenju SMC komposita primjenom Taguchi metodeIzvorni znamstveni članak U radu se predstavlja i razmatra obradivost kod bušenja SMC kompozitnih materijala A-klase primjenom Tagučijeve Doe metode. Procjenjivale su se potisne sile, površinska hrapavost i raslojavanje listanjem -ljuštenjem SMC kompozita ojačanih staklenim vlaknima u postupku bušenja. Eksperimentalni rezultati i veličina doprinosa parametara na rezultate obrade analizirani su pomoću ANOVA-e. Analiza varijance je pokazala da su važni parametri za izlazne rezultate prije svega kut alata za bušenje te brzina posmaka i brzina rezanja. Potvrdni eksperimenti provedeni uz optimalne parameter pokazuju smanjenje potisne sile od 9,8 %, površinske hrapavosti od 33,3 %, raslojavanja od 2,5 % i raslojavanja listanjem od 1,38 %. Provedena je detaljna analiza deformacije SMC kompozita. Za empirijsko modeliranje obradljivosti, rezultati SMC kompozita mogu se modelirati kvadratnom polinomskom regresijom u viši stupanj točnosti.

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Optimization of thrust, torque, entry, and exist delamination factor during drilling of CFRP composites

Cited by 81 publications

References 40 publications

Modeling and evolutionary computation on drilling of carbon fiber-reinforced polymer nanocomposite: an integrated approach using RSM based PSO

Modeling and evolutionary computation on drilling of carbon fiber-reinforced polymer nanocomposite: an integrated approach using RSM based PSO

Drilling optimization of woven CFRP laminates under different tool wear conditions: a multi-objective design of experiments approach

Optimization of process parameters in drilling of SMC composites using Taguchi method

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