2019
DOI: 10.5545/sv-jme.2019.5998
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Research on Surface Roughness of Hardox Steels Parts Machined by Abrasive Waterjet

Abstract: This paper presents an experimental investigation on the abrasive waterjet machining (AWJM) of Hardox steels. A full factorial plan was designed and carried out to determine how the traverse speed, the material thickness, and the material type influence the surface roughness. Two materials were machined during the experiments: Hardox 450 and Hardox 500. The experimental data were analysed using statistical methods, and a mathematical model was obtained. Additional experiments were made to validate the model. T… Show more

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Cited by 5 publications
(3 citation statements)
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“…ANN and the regression model were used for surface roughness prediction in the AWJ cutting of AA 7075 aluminum alloy [ 9 ]. Additionally, different approaches have been applied for the investigation of surface roughness in the AWJ process, such as fuzzy logic in [ 10 ], the Taguchi-based analysis of variance method in [ 11 , 12 , 13 ], the multi-objective genetic algorithm (MOGA) in [ 14 ], and the regression method in [ 10 , 15 ]. Liu et al [ 16 ] developed quadratic regression models to predict the penetration depth and surface roughness in abrasive water jet turning of alumina ceramics using a response surface methodology with a Box–Behnken design.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…ANN and the regression model were used for surface roughness prediction in the AWJ cutting of AA 7075 aluminum alloy [ 9 ]. Additionally, different approaches have been applied for the investigation of surface roughness in the AWJ process, such as fuzzy logic in [ 10 ], the Taguchi-based analysis of variance method in [ 11 , 12 , 13 ], the multi-objective genetic algorithm (MOGA) in [ 14 ], and the regression method in [ 10 , 15 ]. Liu et al [ 16 ] developed quadratic regression models to predict the penetration depth and surface roughness in abrasive water jet turning of alumina ceramics using a response surface methodology with a Box–Behnken design.…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al [ 16 ] developed quadratic regression models to predict the penetration depth and surface roughness in abrasive water jet turning of alumina ceramics using a response surface methodology with a Box–Behnken design. Different kinds of materials were subjected to the AWJ process, among them, carbon steel S235 [ 14 ], Hardox steel [ 15 ], magnesium alloy [ 10 ], aluminum alloy [ 17 , 18 ], titanium alloy [ 19 ], marble [ 20 ], aluminum/magnesium hybrid metal matrix composites [ 11 ], a lanthanum phosphate/yttria composite [ 12 ], and Nimonic C236 superalloy [ 21 ].…”
Section: Introductionmentioning
confidence: 99%
“…To determine the degree of influence of the forced vibrational oscillations on the roughness of the cut workpiece, it is necessary to study the mechanism of forming the microgeometry of the processed surfaces [2,4,5,6,7,8,9,11,12,13]. Due to the mechanical interaction of the peripheral (cutting) surface of the cutting diamond disc and the workpiece, separation of particles from the processed material begins.…”
Section: Roughnessmentioning
confidence: 99%