Determination of appropriate cutting parameters depending on surface roughness by Taguchi method in milling of marbles

Özkan, Erkan; Öz, Oğuzhan

doi:10.1007/s12517-020-05380-0

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…The Taguchi experimental design method enables obtaining high surface quality products in less time and cost with appropriate processing parameters. In this study, an experimental setup was designed according to Taguchi design for radial depth of cut, axial depth of cut and feed rate parameters, considering previous studies (Özkan and Öz 2020(Özkan and Öz , Özkan and Öz 2021(Özkan and Öz , Pham et al 2020 in the milling of marble with CNC. After the process, the radial cutting force (Fr) and Ra roughness values were measured, and the effectiveness of the parameters and their appropriate combinations were determined.…”

Section: Introductionmentioning

confidence: 99%

Investigation of The Effect of Radial Width and Axial Depth Parameters on Surface Quality in Milling of White Marbles

ÖZKAN,

ÖZ,

TUĞRAL

2023

Afyon Kocatepe University Journal of Sciences and Engineering

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In this study, surface quality and tangential cutting force and radial width (ae) and axial deep (ap) parameters were investigated in the processing of white marble, which is a natural building material. Five different white marbles were used in the experiments and the taguchi method was applied as the test method. Depending on the number and level of parameters, the L9 orthogonal array was chosen. Cutting forces and surface roughness data were collected for each marble. The optimal level and contribution percentage of each parameter was determined by applying the analysis of variance with the signal-to-noise (S/N) ratio. The Fr and Ra factors for all marbles were found to be ae:1 mm and ap:1 mm. Depending on the significance level, axial depth of cut (ap) was the primary effective parameter (65-86% for Fr; 42-78% for Ra), while radial depth of cut was the secondary effective parameter (3-24% for Fr; 16-35% for Ra). It can be said that the feed rate parameter was not an effective parameter in general.As a result of regression analysis, a significant relationship of 83% was observed between Ra surface roughness value and mineral grain size. Grain size has been the mineralogical-petrographic feature affecting the surface quality of marbles.

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Section: Introductionmentioning

confidence: 99%

Investigation of The Effect of Radial Width and Axial Depth Parameters on Surface Quality in Milling of White Marbles

ÖZKAN,

ÖZ,

TUĞRAL

2023

Afyon Kocatepe University Journal of Sciences and Engineering

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“…Their results showed that the parameters of depth and feed rate have the greatest effect on surface roughness when machining marbles. 10…”

Section: Introductionmentioning

confidence: 99%

Linear regression and artificial neural network models for predicting abrasive water jet marble drilling quality

Hammouda

Ghienne

Dion

et al. 2022

Advances in Mechanical Engineering

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Marble is a fragile and heterogeneous material whose properties vary depending on the nature and origin of the marble. Therefore, the marble machining process requires the skills and know-how of the stone cutter to manually configure the machining parameters for each piece of marble. This study addresses the enhancement of quality achieved by marble drilling processes in the industry. The objective of this work is to drill marble with high quality performance and avoid fracturing the material. This article focuses on the process of drilling white Carrara marble with an abrasive water jet. This unconventional tool significantly reduces unwanted damage resulting from the drilling process (fractures, spalling) compared to the conventional drilling process (rotating abrasive tools). The effect of waterjet cutting parameters, namely jet pressure, stand-off distance, nozzle traverse speed, abrasive flow rate, and hole diameter on drilling tolerances is studied. Five defects in the drilling process are modeled in this work: surface roughness, hole circularity, hole cylindricity, hole location error, and hole taper, using analysis of variance of linear regression models and an artificial neural network width high accuracy. These models could be of great interest to stone cutters to configure marble machining parameters and improve marble manufacturing quality.

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The effect of characterization of carbide end milled limestones on optimal parameters

Özkan

Öz

2021

Arab J Geosci

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Determination of appropriate cutting parameters depending on surface roughness by Taguchi method in milling of marbles

Cited by 5 publications

References 31 publications

Investigation of The Effect of Radial Width and Axial Depth Parameters on Surface Quality in Milling of White Marbles

Investigation of The Effect of Radial Width and Axial Depth Parameters on Surface Quality in Milling of White Marbles

Linear regression and artificial neural network models for predicting abrasive water jet marble drilling quality

The effect of characterization of carbide end milled limestones on optimal parameters

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