Selection of parameters for advanced machining processes using firefly algorithm

Shukla, Rajkamal; Singh, Dinesh

doi:10.1016/j.jestch.2016.06.001

Cited by 30 publications

(16 citation statements)

References 23 publications

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“…Dielectric goes between the zone of the tool and work material and this removes the eroded particles and also clears the gap between the electrodes and cools them [3]. Shukla et al [4] executed the experimental trials to achieve the prime set of values that can optimize the responses using the Firefly Algorithm. Work material was decided as Aluminium metal matrix composite (MMC) and EN-31 stainless steel (SS).…”

Section: Background and Rationalementioning

confidence: 99%

A combined approach of nature-inspired Firefly Algorithm and Weighted Principal Component Analysis in machining of Inconel X-750

Nath¹,

Kumar²,

Yadav³

et al. 2020

FME Transactions

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Electrical discharge machining (EDM) is the primary unconventional machining process used for very hard conductive materials. Inconel-750 is used in various high-performance applications like aerospace, automobiles, etc. due to its improved mechanical properties. During machining, various parameters significantly affect machining performances. It is not easy for a manufacturer to make a compatible balance between parameters and responses simultaneously. In this paper, a novel hybridization module is developed for EDM of Inconel-750 using the brass tool. Taguchi based L9 orthogonal array has been used for experimentation and two optimization modules. Namely, Utility theory (UT) and Weighted Principal Component has been fruitfully coupled with a relatively new nature-inspired Firefly Algorithm(FA) to achieve the desired value of rate of material removal (MRR) and Surface roughness (SR). WPCA embedded FA performs better than Utility coupled FA modules in terms of R 2 , F and P-value with model accuracy of 89.03%. The optimal settings are fund as Ip-12 amp, Ton-63µs, Toff-7µs, V-40 volts and fitness value as 0.97213. The WPCA-FA shows higher application potential and can be forwarded to the manufacturing sectors for quality monitoring and productivity concerns.

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Section: Background and Rationalementioning

confidence: 99%

A combined approach of nature-inspired Firefly Algorithm and Weighted Principal Component Analysis in machining of Inconel X-750

Nath¹,

Kumar²,

Yadav³

et al. 2020

FME Transactions

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“…Selanjutnya pada tahun 2016, algoritma Firefly digunakan dalam penelitian tentang penentuan desain ekonomi yang optimal untuk penukar panas shell dan tube [2]. Berikutnya terdapat Shukla dan Singh yang menerapkan algoritma Firefly untuk pemilihan nilai optimal parameter proses pada pemesinan jet air abrasif dan pemesinan pelepasan listrik di tahun 2017 [3]. Pada tahun 2018, algoritma Firefly dikembangkan oleh Sadhu dkk.…”

Section: Pendahuluanunclassified

Optimasi Algoritma Firefly Pada Penentuan Kandidat Solusi Awal

Via

Arianti

2020

santika

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Algoritma Firefly telah banyak diterapkan di berbagai bidang kehidupan dan keilmuan. Algoritma ini diusulkan sebagai algoritma optimasi yang meniru perilaku kunang-kunang yang berkedip dan memancarkan cahaya. Algoritma Firefly telah mampu memberikan solusi untuk berbagai macam masalah optimasi non-linier yang kompleks. Pada penelitian ini dilakukan optimasi pada penentuan kandidat solusi awal yang akan diatur jarak nilai acaknya. Jarak nilai acak ditentukan dengan mempertimbangkan nilai-nilai pada fungsi obyektif dan batasan. Hasil pengujian secara keseluruhan mampu memberikan solusi jumlah produk yang optimal yang bisa diproduksi dengan tidak melebihi batas jumlah bahan baku yang tersedia. Dan dari hasil perhitungan dan perbandingan keuntungan dengan penelitian sebelumnya diperoleh kenaikan sebesar 0,24%. Hal ini berarti dapat simpulkan bahwa pemberian jarak nilai acak pada tahap kandidasi awal solusi sangat berpengaruh terhadap hasil akhir solusi jumlah produk yang optimal berdasarkan keuntungan industri.

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“…where the first terms X i ( t ) and X b e s t i ( t ) are the current positions of a less brighter firefly and the brightest firefly, respectively; the second term is used for considering a firefly’s attractiveness to light intensity. 44 β 0 is the initial attractiveness at r = 0 ; γ is the absorption parameter in the range [0, 1]; and r i j is the distance between any two fireflies i and j , at position x i and x j , respectively, and can be defined as a Cartesian or Euclidean distance as given as equation (27)…”

Section: Proposed Control Scheme For Speed Control Of Bldc Motormentioning

confidence: 99%

Hybrid control technique for minimizing the torque ripple of brushless direct current motor

Prathibanandhi

Ramesh

2018

Measurement and Control

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This paper presented the brushless direct current motor torque ripple reduction based on the speed and torque control using hybrid technique. The dynamic behavior of the brushless direct current motor is analyzed in terms of the parameters such as the speed, current, back electromotive force and torque. Based on the parameters, the motor speed is controlled and minimized the torque ripples. For controlling the speed of the brushless direct current motor is utilized the fractional-order proportional-integral-derivative controller for generating the optimal control pulses. With the use of fractional-order proportional-integral-derivative controller, the optimal gain parameters are needed to reduce the torque ripples and control the speed of brushless direct current motor. By utilizing the hybrid technique, the gain parameters are utilized to analyze the optimal gain parameters of fractional-order proportional-integralderivative controller. The hybrid technique is the combination of adaptive neuro-fuzzy inference system with firefly algorithm. The proposed strategy is simple in structure and robust to reduce the complexities of the mathematical computations. Initially, the nature inspired optimization algorithm of firefly algorithm is analyzed for finding the error function. In addition, the efficient adaptive neuro-fuzzy inference system controller which becomes an integrated method of approach is performed to control the error functions in order to yields excellent optimized gain values. After that, the control signals are applied to the input of voltage source converter of brushless direct current motor. With this control strategy, the harmonics and torque ripples are minimized. Based on the proposed control strategy, the speed and torque performance is analyzed. The effectiveness of the proposed technique is implemented in MATLAB/Simulink platform and evaluates their performance. The performance analysis of the proposed method is demonstrated and contrasted with the existing techniques such as bat algorithm, particle swarm optimization algorithm and ant-lion optimizer algorithm with fractional-order proportional-integral-derivative controller techniques. KeywordsBrushless direct current motor, torque ripple minimization, speed and torque control, pulse-width modulation, fractional-order proportional-integral-derivative controller, adaptive neuro-fuzzy inference system, firefly algorithm Date

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Selection of parameters for advanced machining processes using firefly algorithm

Cited by 30 publications

References 23 publications

A combined approach of nature-inspired Firefly Algorithm and Weighted Principal Component Analysis in machining of Inconel X-750

A combined approach of nature-inspired Firefly Algorithm and Weighted Principal Component Analysis in machining of Inconel X-750

Optimasi Algoritma Firefly Pada Penentuan Kandidat Solusi Awal

Hybrid control technique for minimizing the torque ripple of brushless direct current motor

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