Experimental study of newly structural design grinding wheel considering response surface optimization and Monte Carlo simulation

Kahraman, Mehmet Fatih; Ozturk, Sabri

doi:10.1016/j.measurement.2019.07.053

Cited by 49 publications

(24 citation statements)

References 45 publications

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“…Surface roughness is a crucial factor that has an effect on machined components [20]. Maurotto et al [21] showed significant improvements in surface roughness and cutting force in UAT of Inconel-718 and Ti-15333.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive experimental analysis and sustainability assessment of machining Nimonic 90 using ultrasonic-assisted turning facility

Airao

Khanna

Roy

et al. 2020

Int J Adv Manuf Technol

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Many techniques have been developed to improve the machinability of aeronautical materials titanium and nickel-based alloys such as ultrasonic-assisted turning, laser-assisted turning, and cryogenic-assisted turning. This collaborative scientific investigation presents the steps taken to gain insight into the phenomena of machining Nimonic 90 (a nickel-based alloy) alloy using ultrasonically assisted turning. The cutting speed, feed rate, depth of cut, and frequency are taken as input parameters and average surface roughness (R a ), power consumption (P), and chip formation are considered as output parameters. The experiments are carried out with the full factorial design. The UAT (ultrasonically assisted turning) process gives a significant improvement in average surface roughness and power consumption because of the intermittent cutting action of the cutting tool. UAT process shows a 70-80% reduction in average surface roughness (R a ) and a 6-15% reduction in power consumption as compared with CT (conventional turning) process. Ultrasonically assisted turning also resulted in the thin and smoother chips as compared with CT process which helps to achieve a more superior machining effect. Finite element modeling shows that the quasi-static nature of the stress induced in the UAT process leads to lower force and ultimately lower power generation. Moreover, a sustainability assessment model is implemented to investigate the effect of UAT in terms of machining performance as well as sustainability effectiveness in a single integrated approach. The novelty of this work lies in providing an integrated concept that combines experimental analysis and sustainability assessment when using ultrasonic vibrational energy during turning of Nimonic 90.

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Section: Introductionmentioning

confidence: 99%

Comprehensive experimental analysis and sustainability assessment of machining Nimonic 90 using ultrasonic-assisted turning facility

Airao

Khanna

Roy

et al. 2020

Int J Adv Manuf Technol

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“…Furthermore, the usage of identification methods can raise the efficiency of the controller providing accurate parametric estimations, which has a significant influence in generating the gains of the controller. A novel identification procedure is presented by [35,36] introducing the Monte Carlo method, which shows a great probabilistic uncertainty analysis but suffers from high computational burden and high dependency on an exact model of the system [37]. presented adaptive Monte Carlo scheme which in the computational burden has been decreased resulting in faster dynamics and better disturbance rejection.…”

Section: Introductionmentioning

confidence: 99%

Adaptive backstepping controller design on Buck converter with a novel improved identification method

Saadat

Ghamari

Mollaee

2022

IET Control Theory & Appl

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An adaptive backstepping method is presented by this paper for a DC-DC Buck converter utilising a strategy for system identification with pulse width modulation in the presence of parametric uncertainties, load variations, and high variance noises. In this control structure, the system is assumed as a black-box block that can decrease the computational burden providing faster dynamics. An adaptive mechanism is adopted for the BSM using the Lyapunov definition, providing robust dynamics for the controller against various disturbances. In addition, a novel improved exponential recursive least-squares identification algorithm is proposed, which shows higher robustness in parametric estimations and can decrease the negative impact of disrupting factors on the estimator. Moreover, a particle swarm optimisation algorithm-based PID controller is designed to be compared with the proposed controller. Finally, the merits of the presented controller are validated for various working conditions through simulations and experiments. It can be seen that the adaptive backstepping method with the improved identification technique provides much better results with faster dynamics.

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“…Thus, for determining the productivity of ED, grinding with the following characteristics are allowable: changing the polarity of electrodes and the wheel wear the calculation of the distance between the grains on the wheel, the establishment of their distribution, the analysis of this distribution during the interaction of the cutting grains with the material, and the probability density of the cut thickness are necessary prerequisites [8].…”

Section: Introductionmentioning

confidence: 99%

Determination of the Distance Between Grains During Electrical Discharge Grinding with Changing Polarity of Electrodes

Strelchuk

Shelkovyi

2021

Lecture Notes in Mechanical Engineering

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The paper investigates the process of electroerosive diamond grinding by changing the polarity of electrodes in time in the cutting zone for processing various materials, and the distance between the grains is determined. The study aims to determine the effect on the distance between the grains of the electrical modes of electrical discharge grinding (ED grinding) and the characteristics of the wheel using the mathematical method of planning experiments. The planning of the experiment gave the result with the smallest error and made it possible to minimize the number of experiments. As a result of experimental studies, a mathematical model of the distance between grains has been constructed. This model considers the electrical process modes and the wheel characteristics. For various values of electrical modes and the wheel characteristics, using the functional dependence, it is possible to determine the distance between the grains. It was found that the most significant factors that affect the distance between grains are the frequency and relative pulse duration, grain size, and concentration of diamond wheels. The study results obtained allow using the functional dependence to calculate the grinding process's productivity, assess the cutting ability, and simulate the wear of the wheels without lengthy and expensive experimental studies.

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Experimental study of newly structural design grinding wheel considering response surface optimization and Monte Carlo simulation

Cited by 49 publications

References 45 publications

Comprehensive experimental analysis and sustainability assessment of machining Nimonic 90 using ultrasonic-assisted turning facility

Comprehensive experimental analysis and sustainability assessment of machining Nimonic 90 using ultrasonic-assisted turning facility

Adaptive backstepping controller design on Buck converter with a novel improved identification method

Determination of the Distance Between Grains During Electrical Discharge Grinding with Changing Polarity of Electrodes

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