Taguchi optimization of surface roughness in grinding of cryogenically treated AISI 5140 steel

Kara, Fuat; Köklü, Uğur; Kabasakaloğlu, Ufuk

doi:10.3139/120.111583

Cited by 34 publications

(9 citation statements)

References 21 publications

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“…where n is the number of data of the experiment and y i is the measured data at the ith experiment [24]. In addition to the signal-to-noise ratio, a statistical analysis of variance (ANOVA) was employed to demonstrate the impact of process parameters on surface roughness.…”

Section: Taguchi Methodmentioning

confidence: 99%

Optimization of Surface Roughness in Drilling Medium‐Density Fiberboard with a Parallel Robot

Ayyıldız

Kara

2021

Advances in Materials Science and Engineering

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This study focuses on the examination of the effect of cutting parameters on surface roughness when drilling medium-density fiberboard (MDF) with a parallel robot. Taguchi technique was applied to find the optimum drilling parameters and, later, the drilling processing. Experimental layout was established using the Taguchi L18 orthogonal array, and experimental data were examined via a statistical analysis of variance (ANOVA). Experimental results were performed by multiple regression analysis (linear and quadratic). Correlation coefficient (R2) was found 99.46% for surface roughness with the quadratic regression model. By the Taguchi analysis, the optimum values for the surface roughness were found to be a point angle of 118°, a cutting speed of 47.1 m/min, and a feed rate of 0.01 mm/rev. The optimization outcomes presented that the Taguchi technique had been successfully performed to decide the optimal surface roughness of the MDF in the drilling.

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Section: Taguchi Methodmentioning

confidence: 99%

Optimization of Surface Roughness in Drilling Medium‐Density Fiberboard with a Parallel Robot

Ayyıldız

Kara

2021

Advances in Materials Science and Engineering

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“…To address these challenges, scholars have focused on the research of robotic abrasive belt grinding force/position control [8][9][10][11][12], parameter optimization [13][14][15], compensation control [16,17], etc. Xu et al [18,19] proposed a robotic belt grinding force control method that combines force/position compound control with PI/PD control, and analyzed the precision, stability and reliability of the system.…”

Section: Introductionmentioning

confidence: 99%

Prediction of contact characteristics of abrasive belt compliant grinding for aircraft blades

Duan

Wu²,

An³

et al. 2023

Preprint

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Due to the characteristics of thin-walled curved surface, wall thickness variations and processing cantilever fixtures, the mechanical state of the different contact positions of aircraft engine blades varies significantly during the grinding process. The different contact interactions between contact wheel and blade result in changes of material removal efficiency and surface quality. To achieve contact state control during blade grinding process, a novel flexible abrasive belt grinding device was designed and developed considering the compliance of rubber contact wheel. The significant effect of compliance parameters on grinding contact state was verified through simulation. The grinding contact pressure distribution and normal contact force at different positions in the blade width and length directions were studied, and a prediction model for the maximum contact pressure and normal contact force was established based on BP neural networks. The results showed that with the increase in contact wheel compliance, the effective contact range increased, the pressure distribution gradually became uniform, and showed a double-elliptical distribution. The maximum contact pressure was significantly reduced, with a reduction of up to 46.00%. As the grinding contact position moved towards the weak rigidity area of the blade, the contact pressure distribution became more uniform. And the normal contact force was significantly reduced, with a maximum reduction of 68.49%. The mean average percentage error (MAPE) of the prediction model was small, verifying the effectiveness of the model. The research results of this manuscript laid a foundation for achieving consistent control of blade grinding material removal rate through contact wheel compliance adjustment.

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“…Kara et al. [12] have investigated the performance of the grinding parameters used in the cylindrical grinding process of cryogenically treated AISI 5140 steel and the results showed that optimal average surface roughness values were obtained on specimens cryogenically treated for 30 h. Therefore, a comprehensive understanding of the microstructure evolution of hot work tool steels during DCT is significant.…”

Section: Introductionmentioning

confidence: 99%

Carbides precipitation and kinetics of H13 steel subjected to deep cryogenic treatment

Guo

et al. 2022

Materials Science and Technology

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The influence of deep cryogenic treatment (DCT) on carbides precipitation and isothermal softening behaviour as a function of both temperature and time during tempering of H13 steel was investigated. The results show that the retained austenite transformed into martensite leading to an increase in hardness. The carbon content of martensite decreased after DCT and tempering according to the calculation of the X-ray diffraction spectrum. This indicates that more fine carbides precipitated from the martensitic matrix after DCT. The morphology of microstructure and distribution of carbides have verified the properties improvement mainly depending on the retained austenite transformation and more fine carbides precipitated after tempering. In addition, the carbides precipitating and coarsening are the main causes of thermal softening.

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Taguchi optimization of surface roughness in grinding of cryogenically treated AISI 5140 steel

Cited by 34 publications

References 21 publications

Optimization of Surface Roughness in Drilling Medium‐Density Fiberboard with a Parallel Robot

Optimization of Surface Roughness in Drilling Medium‐Density Fiberboard with a Parallel Robot

Prediction of contact characteristics of abrasive belt compliant grinding for aircraft blades

Carbides precipitation and kinetics of H13 steel subjected to deep cryogenic treatment

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