Optimization of Cut Quality Characteristics during Nd:YAG Laser Straight Cutting of Ni-Based Superalloy Thin Sheet Using Grey Relational Analysis with Entropy Measurement

Sharma, Amit; Yadava, Vinod

doi:10.1080/10426914.2011.551910

Cited by 59 publications

(29 citation statements)

References 20 publications

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“…The same responses were also analyzed for the pulsed CO 2 laser cutting in processing the composite material Al6061/Al2O3 [16]. Sharma and Yadava [17] showed that the use of oxygen as the assisting gas in the laser cutting of a nickel alloy could promote a smooth cut surface. Tamilarasan and Rajamani [18] optimized the cutting parameters of Ti alloy samples and achieved a relative error of less than 2%.…”

Section: Literature Reviewmentioning

confidence: 99%

Experimental Optimization of Nimonic 263 Laser Cutting Using a Particle Swarm Approach

Šibalija

Petronić²,

Milovanović

2019

Metals

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This paper presents an experimental study carried out on Nimonic 263 alloy sheets to determine the optimal combination of laser cutting control factors (assisted gas pressure, beam focus position, laser power, and cutting speed), with respect to multiple characteristics of the cut area. With the aim of designing laser cutting parameters that satisfy the specifications of multiple responses, an advanced multiresponse optimization methodology was used. After the processing of experimental data to develop the process measure using statistical methods, the functional relationship between cutting parameters and the process measure was determined by artificial neural networks (ANNs).Using the trained ANN model, particle swarm optimization (PSO) was employed to find the optimal values of laser cutting parameters. Since the effectiveness of PSO could be affected by its parameter tuning, the settings of PSO algorithm-specific parameters were analyzed in detail. The optimal laser cutting parameters proposed by PSO were implemented in the validation run, showing the superior cut characteristics produced by the optimized parameters and proving the efficacy of the suggested approach in practice. In particular, it is demonstrated that the quality of the Nimonic 263 cut area and the microstructure were significantly improved, as well as the mechanical characteristics.Parameters of the laser cutting process must be properly tuned in order to obtain the desired outputs. The laser power must be sufficient to enable the cutting; the cutting speed should be high enough to prevent the diffusion of heat in a material and to form a broad heat-affected zone (HAZ) [4]. The assisting gas is very important for producing a high-quality cut without a grate, since it does not permit molten material droplets' solidification onto the cut surface. The cutting speed must be balanced; if excessive speed is used the grate would remain, while, with a very low speed, the edge quality of the cut would be affected and a wide HAZ would form [5].The cutting control factors considered in this study are the assisting gas pressure, the position of the beam focus, the laser power, and the cutting speed. At the output, seven responses of the cut area are observed. Since the process is characterized by multiple parameters and responses, an advanced optimization methodology is needed to obtain the optimal cutting setting that satisfies the specifications for multiple, correlated responses. Simulated annealing (SA) and a genetic algorithm (GA) have been employed previously, and it has been demonstrated that SA outperformed GA in the proposed method [6]. Particle swarm optimization (PSO) is used in this study and benchmarked with SA in terms of the quality, i.e., the accuracy of the obtained optimum, the effects of the algorithm's parameters on the obtained optimum, and the convergence speed. Since metaheuristic algorithms must be adequately tuned to obtain the right solution, the setting of the major PSO algorithm's parameters is studied in detail to evaluate th...

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Section: Literature Reviewmentioning

confidence: 99%

Experimental Optimization of Nimonic 263 Laser Cutting Using a Particle Swarm Approach

Šibalija

Petronić²,

Milovanović

2019

Metals

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“…Therefore, 188 S.S. Singh et al optimization of these process parameters is required to obtain desired process performance. Optimization of the multi performance for Nd:YAG laser cutting of nickel based superalloys has been carried out using grey relational analysis for quality characteristics of average kerf taper and average surface roughness (Sharma and Yadava 2011). It was observed that the optimum input parameter levels for curved cut profiles are entirely different from straight cut profiles except kerf width.…”

Section: Experimental Studies On Limmmentioning

confidence: 99%

Lasers Based Manufacturing

Joshi¹,

Dixit²

2015

Topics in Mining, Metallurgy and Materials Engineering

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“…This method uses "entropy" to quantitatively analyze the correlation degree of reference factors and comparative factors. The grey relation entropy method can fully utilize character information [22], [23], [24], [25].…”

Section: Analysis Of Grey Relation Entropymentioning

confidence: 99%

Study on Catastrophic Air Current Early - warning and Control System of Coalmines

Fang¹,

Li²,

Yu³

et al. 2016

JESTR

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Catastrophic air current significantly influences the stability of ventilation system, and existing studies have not considered the flow characteristics of catastrophic air current when designing the control systems. To analyze the effects of different kinds of coalmine accidents on safety production, grey relation entropy theory was used to analyze the hazard assessment of coalmine accidents. Fluent software was employed to study the flow characteristics of catastrophic air current, and the catastrophic air current early-warning and control system of coalmine was researched according to the theoretical analysis and numerical simulation. The threat of fire accidents and roof accidents were larger than other accidents. The influence of temperature and CO volume fraction distribution of fire accidents to the tailwind side was larger than that of the weather side, and gradient decreased on the weather side. This system can effectively control the spread of fire and poisonous gas, and can judge the accident location immediately. The research effectively guaranteed the safety of mine production.

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Optimization of Cut Quality Characteristics during Nd:YAG Laser Straight Cutting of Ni-Based Superalloy Thin Sheet Using Grey Relational Analysis with Entropy Measurement

Cited by 59 publications

References 20 publications

Experimental Optimization of Nimonic 263 Laser Cutting Using a Particle Swarm Approach

Experimental Optimization of Nimonic 263 Laser Cutting Using a Particle Swarm Approach

Lasers Based Manufacturing

Study on Catastrophic Air Current Early - warning and Control System of Coalmines

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