A Fuzzy Logic-Based Prediction Model for Kerf Width in Laser Beam Machining

Hossain, Anamul; Hossain, Altab; Nukman, Y.; Hassan, Mohsen A.; Harizam, M. Z.; Sifullah, A. M.; Parandoush, Pedram

doi:10.1080/10426914.2015.1037901

Cited by 61 publications

(31 citation statements)

References 21 publications

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“…This is due the fact that at higher pulse frequency composite surface got sufficient time to burn properly. Thus, it has been observed that the range of better kerf quality characteristics may be found at the lower lamp current (160-180 Amp) and compressed air pressure (8-9 Kg/cm 2 ), moderate pulse frequency (25)(26)(27)(28)(29)(30), and higher pulse width (2.3-2.6 ms) cutting speed (100-200 mm/min). In the present study, the experiments have performed to single index optimization of the pulsed Nd: YAG laser parameters to obtain precise geometries of cut for a 1.35 mm thick hybrid Kevlar-29/Basalt fiber composite laminate.…”

Section: Effects Of Laser Parameters On Single Index Of Kerf Quality mentioning

confidence: 99%

“…They observed a remarkable improvement in cut quality characteristics. Hossain et al [29] employed the fuzzy expert system to predict the optimal values of laser power, cutting speed, stand-off distance and assist gas pressure to achieve better kerf width. They observed that developed fuzzy expert system predict kerf width with 0.385% relative error with experimental results.…”

Section: Introductionmentioning

confidence: 99%

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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

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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.

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Section: Effects Of Laser Parameters On Single Index Of Kerf Quality mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

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“…Meanwhile, the fuzzy outputs are derived by aggregating the fuzzy inputs through the logical operators "AND", where the inference engine brings the compositional effects by incorporating the 'If-Then' rules. Then the non-fuzzy values of the desired output are obtained by Equation (8) [56,57].…”

Section: Development Process Of Smoothing Constant Simulatormentioning

confidence: 99%

“…Similar to the procedure followed by Hossain et al [57], the level (L Tpred ) obtained from the fuzzy logic tool box is validated initially by comparing with the values found mathematically. The validated values are then embedded in the conventional MHW method to compute the collaborative multiplicative Holt-Winters (Coll-MHW) model-based forecasted demand (Y Tc ) by applying Equation 9.…”

Section: Estimation Of the Parameter Level (Ltpred) And The Forecastmentioning

confidence: 99%

A Collaborative Multiplicative Holt-Winters Forecasting Approach with Dynamic Fuzzy-Level Component

et al. 2018

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The adoption of forecasting approaches such as the multiplicative Holt-Winters (MHW) model is preferred in business, especially for the prediction of future events having seasonal and other causal variations. However, in the MHW model the initial values of the time-series parameters and smoothing constants are incorporated by a recursion process to estimate and update the level (L T), growth rate (b T) and seasonal component (SN T). The current practice of integrating and/or determining the initial value of L T is a stationary process, as it restricts the scope of adjustment with the progression of time and, thereby, the forecasting accuracy is compromised, while the periodic updating of L T is avoided, presumably due to the computational complexity. To overcome this obstacle, a fuzzy logic-based prediction model is developed to evaluate L T dynamically and to embed its value into the conventional MHW approach. The developed model is implemented in the MATLAB Fuzzy Logic Toolbox along with an optimal smoothing constant-seeking program. The new model, proposed as a collaborative approach, is tested with real-life data gathered from a local manufacturer and also for two industrial cases extracted from literature. In all cases, a significant improvement in forecasting accuracy is achieved.

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“…For instance, arti cial neural network (ANN) and fuzzy logic have been successfully utilized to predict complex system properties [16]. However, ANN has gained some untoward reviews due to its rather ''black box'' nature.…”

Section: Introductionmentioning

confidence: 99%

Experiment and Prediction of Ablation Depth in Excimer Laser Micromachining of Optical Polymer Waveguides

Tamrin

Zakariyah

Hossain

et al. 2018

Advances in Materials Science and Engineering

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Extending the data transfer rates through dense interconnections at inter-and intraboard levels is a well-established technique especially in consumer electronics at the expense of more cross talk, electromagnetic interference (EMI), and power dissipation. Optical transmission using optical fibre is practically immune to the aforementioned factors. Among the manufacturing methods, UV laser ablation using an excimer laser has been repeatedly demonstrated as a suitable technique to fabricate multimode polymer waveguides. However, the main challenge is to precisely control and predict the topology of the waveguides without the need for extensive characterisation which is both time consuming and costly. In this paper, the authors present experimental results of investigation to relate the fluence, scanning speed, number of shots, and passes at varying pulse repetition rate with the depth of ablation of an acrylate-based photopolymer. e depth of ablation essentially affects total internal reflection and insertion loss, and these must be kept at minimum for a successful optical interconnection on printed circuit boards. e results are then used to predict depth of ablation for this material by means of adaptive neurofuzzy inference system (ANFIS) modelling. e predicted results, with a correlation of 0.9993, show good agreement with the experimental values. is finding will be useful in better predictions along with resource optimisation and ultimately helps in reducing cost of polymer waveguide fabrication.

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A Fuzzy Logic-Based Prediction Model for Kerf Width in Laser Beam Machining

Cited by 61 publications

References 21 publications

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

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

A Collaborative Multiplicative Holt-Winters Forecasting Approach with Dynamic Fuzzy-Level Component

Experiment and Prediction of Ablation Depth in Excimer Laser Micromachining of Optical Polymer Waveguides

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