Simultaneous optimization of kerf taper and heat affected zone in Nd-YAG laser cutting of Al 6061-T6 sheet using hybrid approach of grey relational analysis and fuzzy logic

2018 ◽  
Vol 54 ◽  
pp. 302-313 ◽  
Author(s):  
Priyanka Joshi ◽  
Amit Sharma
Keyword(s):  
Fuzzy Logic ◽  
Heat Affected Zone ◽  
Grey Relational Analysis ◽  
Laser Cutting ◽  
Hybrid Approach ◽  
Simultaneous Optimization ◽  
Yag Laser ◽  
Relational Analysis ◽  
Kerf Taper ◽  
Grey Relational

scholarly journals Analysis and optimization of laser drilling process during machining of AISI 303 material using grey relational analysis approach

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
V. Chengal Reddy ◽  
Thota Keerthi ◽  
T. Nishkala ◽  
G. Maruthi Prasad Yadav
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Pulse Frequency ◽  
Laser Drilling ◽  
Simultaneous Optimization ◽  
Fibre Laser ◽  
Drilling Process ◽  
Relational Analysis ◽  
Grey Relational

AbstractSurface roughness and heat-affected zone (HAZ) are the important features which influence the performance of the laser-drilled products. Understanding the influence of laser process parameters on these responses and identifying the cutting conditions for simultaneous optimization of these responses are a primary requirement in order to improve the laser drilling performance. Nevertheless, no such contribution has been made in the literature during laser drilling of AISI 303 material. The aim of the present work is to optimize the surface roughness (Ra) and HAZ in fibre laser drilling of AISI 303 material using Taguchi-based grey relational analysis (GRA). From the GRA methodology, the recommended optimum combination of process parameters is flushing pressure at 30 Pa, laser power at 2000 W and pulse frequency at 1500 Hz for simultaneous optimization of Ra and HAZ, respectively. From analysis of variance, the pulse frequency is identified as the most influenced process parameters on laser drilling process performance.

Optimized laser cutting on light guide plates using grey relational analysis

2011 ◽  
Vol 49 (2) ◽  
pp. 222-228 ◽  
Author(s):  
Ming-Fei Chen ◽  
Yu-Sen Ho ◽  
Wen-Tse Hsiao ◽  
Tse-Hung Wu ◽  
Shih-Feng Tseng ◽  
...  
Keyword(s):  
Grey Relational Analysis ◽  
Laser Cutting ◽  
Light Guide ◽  
Relational Analysis ◽  
Grey Relational

Optimization of Surface Roughness and Recast Layer Thickness in the Wire-EDM Process of AISI D2 Tool Steel Using Taguchi-Grey-Fuzzy

2013 ◽  
Vol 393 ◽  
pp. 21-28 ◽  
Author(s):  
Bobby Oedy Pramoedyo Soepangkat ◽  
Bambang Pramujati
Keyword(s):  
Surface Roughness ◽  
Fuzzy Logic ◽  
Grey Relational Analysis ◽  
Recast Layer ◽  
Relational Analysis ◽  
Recast Layer Thickness ◽  
Aisi D2 ◽  
Grey Relational ◽  
Wedm Process ◽  
D2 Steel

In this paper, the optimization of surface roughness and recast layer thickness of a WEDM process of AISI D2 steel was investigated by using Taguchi method, grey relational analysis and fuzzy logic. The experiments were conducted under varying flushing pressure, on time, open voltage, off time and servo voltage. An orthogonal array, signal-to-noise (S/N) ratio, grey relational analysis, grey-fuzzy reasoning grade and analysis of variance were employed to the study of the multiple performance characteristics. Experimental results have shown that machining performance characteristics in WEDM process of AISI D2 steel can be improved effectively through the combination of Taguchi method, grey relational analysis and fuzzy logic.

Multi-Characteristic Optimization in Wire Electrical Discharge Machining of Inconel-625 by Using Taguchi-Grey Relational Analysis (GRA) Approach

2018 ◽  
pp. 281-303 ◽  
Author(s):  
Pradeep Kumar Karsh ◽  
Hari Singh
Keyword(s):  
Grey Relational Analysis ◽  
Electrical Discharge Machining ◽  
Simultaneous Optimization ◽  
Inconel 625 ◽  
Wire Edm ◽  
Relational Analysis ◽  
Machined Parts ◽  
Cutting Rate ◽  
Input Variables ◽  
Grey Relational

Inconel 625 is a nickel-chromium based super-alloy which is mostly used in high end applications due to its excellent chemical and fabrication properties combined with high strength and outstanding corrosion resistance. Wire EDM is most commonly the used process for machining this material and gives high accuracy and precision in the machined parts. In this paper, an attempt is made to undertake an experimental investigation to optimize the input variables like pulse on time, pulse off time, peak current, and servo voltage in Wire EDM for achieving simultaneous optimization of cutting rate, surface roughness, dimensional deviation, and wire wear ratio. Taguchi's L9 orthogonal array with one replication has been used as an experimental design and then analysis of variance (ANOVA) has been applied to determine the significant parameters and their contributions on response variables. Taguchi method has been combined with grey relational analysis for multi-characteristic optimization. Finally, results are validated with the help of confirmation experiments.

scholarly journals OPTIMASI PARAMETER MESIN LASER CUTTING TERHADAP KEKASARAN DAN LAJU PEMOTONGAN PADA SUS 316L MENGGUNAKAN TAGUCHI GREY RELATIONAL ANALYSIS METHOD

2016 ◽  
Vol 11 (2) ◽  
pp. 97
Author(s):  
Rakasita R ◽  
Karuniawan BW ◽  
Anda Iviana Juniani
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Cutting Process ◽  
Machining Parameters ◽  
Relational Analysis ◽  
Cutting Rate ◽  
Grey Relational

Optimasi parameter adalah teknik yang digunakan pada proses manufaktur untuk menghasilkan produk terbaik. Penelitian ini bertujuan untuk mengoptimasi parameter CNC laser cutting, yaitu titik fokus sinar laser, tekanan gas cutting dan cutting speed untuk mengurangi variasi terhadap respon kekasaran dan laju pemotongan pada material SUS 316L. Masing-masing parameter memiliki 3 level dan pada penelitian ini menggunakan matriks orthogonal L9 (34). Metode ANOVA dan Taguchi digunakan untuk menganalisis data hasil percobaan. Optimasi kekasaran minimum permukaan dan laju pemotongan maksimum pada proses laser cutting dilakukan dengan menggunakan Grey relational analysis. Eksperimen konfirmasi digunakan untuk membuktikan hasil optimal yang telah didapatkan dari metode Taguchi Grey relational analysis. Hasil eksperimen menunjukkan bahwa Taguchi Grey relational analysis efektif digunakan untuk mengoptimasi parameter pemesinan pada laser cutting dengan multi respon. AbstractParameter optimization is used in manufacturing as an indicator to produce the best manufacturing product. This paper studies an optimization parameters of CNC laser cutting such as focus of laser beam, pressure cutting gases and cutting speed for reducing variation of surface roughness and cutting rate on material SUS 316L. Based on L9(34) orthogonal array parameters, it is analized using ANOVA based on Taguchi method. In order to optimaze the minimum surface roughness and maximum cutting rate in laser cutting process, it is used Grey relational analysis. The confirmation experiments used to validate the optimal results that has done by Taguchi method. The results show that the Taguchi Grey relational analysis is being effective to optimize the machining parameters for laser cutting process with two responses.

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