Teaching learning algorithm based optimization of kerf deviations in pulsed Nd:YAG laser cutting of Kevlar-29 composite laminates

Gautam, Girish Dutt; Pandey, Arun Kumar

doi:10.1016/j.infrared.2017.12.017

Cited by 39 publications

(15 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Limited studies have been conducted to evaluate the performance of the laser beam cutting of FRP composite materials. Gautam and Pandey [10] observed that lamp current is the most significant parameter for both the top kerf deviation and bottom kerf deviation in pulsed Nd:YAG laser cutting of Kevlar-29 fiber reinforced composite laminates. Yilbas et al [11] performed laser micro-cutting of Kevlar laminate and observed the influence of cutting speed on cut geometry.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Kerf deviations in pulsed Nd:YAG laser cutting of Hybrid composite laminate using GRA

Mishra¹,

Girish²,

Prakash³

et al. 2020

FME Transactions

View full text Add to dashboard Cite

The aim of this research is to identify the optimum levels of leading laser cutting parameters for accomplishing precise cut geometry with better quality for cutting of newly developed Basalt-Glass-Kevlar 29 hybrid FRP composite laminate. The total of 42 experiments have been performed on a 2.34 mm thick laminate using a 250W pulsed Nd:YAG laser cutting system. Lamp current, pulse width, standoff distance, compressed air pressure, and cutting speed have been selected as variable laser cutting parameters. Thereafter, grey relational analysis approach has been adopted to single index optimization of top and bottom kerf deviation, simultaneously. These optimal solutions have been validated by comparing the results of confirmation experiments and found satisfactory improvement. Standoff distance has been observed as the most influencing parameter for both top and bottom kerf deviation.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimization of Kerf deviations in pulsed Nd:YAG laser cutting of Hybrid composite laminate using GRA

Mishra¹,

Girish²,

Prakash³

et al. 2020

FME Transactions

View full text Add to dashboard Cite

show abstract

“…In the conventional cutting of FRP composites, cut quality is also worse due to the whisker's formation, fiber pullout and delamination. [16,17] In advanced machining techniques, Laser beam cutting (LBC) offers several advantages over conventional machining of FRP composites due to its noncontact nature. LBC eliminates cutting and vibration forces in the process thus no tool wear and deflection occur as compared to conventional techniques.…”

Section: Introductionmentioning

confidence: 99%

“…LBC eliminates cutting and vibration forces in the process thus no tool wear and deflection occur as compared to conventional techniques. [18] In literature survey, it has found that LBC has the capability to cut various types of FRP composites such as glass fiber reinforced polymer (GFRP) composites [19][20][21], carbon fiber reinforced polymer (CFRP) composites [22][23][24], Kevlar fiber reinforced polymer (KFRP) composites [10,16,[25][26][27] etc. with a higher degree of precision accuracy and reproducibility.…”

Section: Introductionmentioning

confidence: 99%

“…Various researchers employed a number of optimization techniques to achieve the optimum levels of laser cutting parameters for FRP composites. Gautam and Pandey [16] employed a Teaching learning algorithm based optimization of Nd:YAG laser cutting parameters of Kevlar composite laminate. They used lamp current, pulse width, pulse frequency, compressed air pressure and cutting speed as input variables to measure the top and bottom kerf deviation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of geometrical quality characteristics in pulsed Nd:YAG laser cutting of Kevlar-29/Basalt fiber reinforced hybrid composite using Grey relational analysis based on genetic algorithm

Gautam¹,

Mishra²

2019

FME Transactions

View full text Add to dashboard Cite

In advanced machining techniques, laser beam cutting provides better control over the cut surface geometry in the cutting of fiber reinforced composites compared with conventional machining techniques due to its non-contact and localized processing. However, the performance of laser cutting for hybrid fiber reinforced polymer composites is yet to reveal. It has paved the way of present study, which reports on the pulsed Nd:YAG laser cutting of 1.35mm thick Kevlar-29 and Basalt fiber based hybrid composite sheet. The geometrical accuracy of the cut has been eveluated by the measured values of kerf width, kerf deviation, and kerf taper for 42 different combinations of five laser-cutting parameters such as lamp current, pulse width, pulse frequency, compressed air pressure and cutting speed. Moreover, an integrated approach based on Grey relational analysis and genetic algorithm (GRGA) has been used for the single index optimizations of different kerf qualities. Furthermore, parametric effects have been also discussed.

show abstract

“…The optimal parameters can be identified using optimization techniques or evolutionary algorithms to achieve better hole quality. 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.…”

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.

View full text Add to dashboard Cite

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.

show abstract

Teaching learning algorithm based optimization of kerf deviations in pulsed Nd:YAG laser cutting of Kevlar-29 composite laminates

Cited by 39 publications

References 23 publications

Optimization of Kerf deviations in pulsed Nd:YAG laser cutting of Hybrid composite laminate using GRA

Optimization of Kerf deviations in pulsed Nd:YAG laser cutting of Hybrid composite laminate using GRA

Evaluation of geometrical quality characteristics in pulsed Nd:YAG laser cutting of Kevlar-29/Basalt fiber reinforced hybrid composite using Grey relational analysis based on genetic algorithm

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

Contact Info

Product

Resources

About