An investigation on surface roughness of granite machined by abrasive waterjet

Bulletin of Materials Science (Impact Factor: 1.02). 07/2011; 34(4):985-992. DOI: 10.1007/s12034-011-0226-x


Abrasive waterjet (AWJ) cutting is an emerging technology which enables the shaping of practically all engineering materials.
However, AWJ cutting may cause roughness and waviness on the cut surface. This significantly affects the dimensional accuracy
of the machined part and the quality of surface finish. In this study, the surface roughness of three granites is experimentally
investigated for varying process parameters in abrasive waterjet. The philosophy of the Taguchi design is followed in the
experimental study. Effects of the control (process) factors on the surface roughness are presented in terms of the mean of
means responses. Additionally, the data obtained are evaluated statistically using the analysis of variance (ANOVA) to determine
significant process parameters affecting the surface roughness. Furthermore, effects of the material properties on the surface
roughness are assessed. It was statistically found that the water pressure and the abrasive flow rate are the most significant
factors influencing the surface roughness of granites. Additionally, a consistent relationship between the material grain
size and surface roughness of the granites was observed.

KeywordsAbrasive waterjet–granite–grain size–surface roughness

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Available from: Kerim Aydiner
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    • "This conclusion was also confirmed by the analysis of variance. Aydin et al. (2011) investigated the surface quality of three granites cut by AWJ. The results indicated that the grain size of the rock-forming minerals and their boundaries have significant effects on the surface quality produced by AWJ. "
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    ABSTRACT: In this paper, an experimental study on the cut depth, which is an important cutting performance indicator in the abrasive waterjet (AWJ) cutting of rock, was presented. Taguchi experimental design of an orthogonal array was employed to conduct the experiments. A variety of nine types of granitic rocks were used in the cutting experiments. The experimental data were used to assess the influence of AWJ operating variables on the cut depth. Using regression analysis, models for prediction of the cut depth from the operating variables and rock properties in AWJ machining of granitic rocks were then developed and verified. The results indicated that the cut depths decreased with increasing traverse speed and decreasing abrasive size. On the other hand, increase of the abrasive mass flow rate and water pressure led to increases in the cut depths. Additionally, it was observed that the standoff distance had no discernible effects on the cut depths. Furthermore, from the statistical analysis, it was found that the predictive models developed for the rock types had potential for practical applications. Verification of the models for using them as a practical guideline revealed a high applicability of the models within the experimental range used.
    Full-text · Article · Sep 2013 · Rock Mechanics and Rock Engineering
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    • "Effects of process parameters on the cut depth of granite were investigated and the statistical models were developed for prediction of cut depth from process parameters (Pon Selvan and Raju 2011). Surface roughness of granite cut by AWJ was investigated by Aydin et al. (2011). Engin (2012) investigated the effects of rock properties and operating parameters on the cutting depth of different natural stones machined by injectiontype AWJ and the cutting depth was modeled using multiple linear and nonlinear regression analyses. "
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    ABSTRACT: This paper presents an experimental and statistical study on the kerf width, used instead of the width of the cut in abrasive waterjet (AWJ) cutting. Pre-dimensioned granitic rocks were sampled for the experimentations designed by using Taguchi orthogonal arrays. The effects of the AWJ operating variables on the kerf width were studied and the rock properties were correlated with the kerf widths. Additionally, predictive models for the kerf widths were developed using multi-variable regression analysis and the developed models were verified through some statistical tests. The results demonstrated that the standoff distance and the traverse speed have significant effects on the kerf widths. The results also showed that water absorption, unit weight, microhardness, the maximum grain size of rock-forming minerals, and mean grain size of the rock have significant correlations with the kerf widths of the tested rocks. Furthermore, the modeling results revealed that the predictive models derived from rock properties, can be successfully used as a practical guideline.
    Full-text · Article · Jul 2013 · Arabian Journal of Geosciences
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    • "Further, parameters such as rock temperature, physical properties of the rock and process parameters were analyzed to define their influences on the cut depth in rock. Miranda and Kim [19] analyzed the fractured surfaces of the Rosa de Borba marble and Moca Creme calcareous stone manufactured by abrasive waterjet [28]. "
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    ABSTRACT: This study discusses a series of experiments designed to establish a correlation between specific energy of an abrasive waterjet system (AWJ) and physico-mechanical and mineralogical properties of hard stones used in these experiments. The energy consumption for the abrasive jet generation was measured by a power analyzer and serial variation tests were carried out to cut hard stones of different properties. The volume of the kerfs created in the stones under different conditions was used to calculate the stone mass loss in order to determine the specific energy of the removed material. Using SPSS software and multiple regression analysis, the relationship between the physico-mechanical, mineralogical properties, and the specific energy was established. Based on results of statistical analysis, it was concluded that the hardness indices, mineral composition, and the average mineral size of hard stones directly affected the specific energy in cutting hard stones with AWJ.
    Full-text · Conference Paper · Dec 2012
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