2014
DOI: 10.1007/s12666-014-0489-1
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Experimental Characterization of Silt Erosion of 16Cr–5Ni Steels and Prediction Using Artificial Neural Network

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Cited by 15 publications
(10 citation statements)
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“…i) Preparation of sample: Base material used for testing of cavitation resistance is made of 16 Cr-5 Ni martensitic stainless steel (MSS)  a material typically used as materials for blades of hydraulic turbines. This material was chosen because of its good mechanical properties and high toughness [11]. Irathane 155, a Polyurethane (PU) material and Irabond UU55/252A adhesive was used for preparing coatings on the substrate.…”
Section: Experimental Methodologymentioning
confidence: 99%
“…i) Preparation of sample: Base material used for testing of cavitation resistance is made of 16 Cr-5 Ni martensitic stainless steel (MSS)  a material typically used as materials for blades of hydraulic turbines. This material was chosen because of its good mechanical properties and high toughness [11]. Irathane 155, a Polyurethane (PU) material and Irabond UU55/252A adhesive was used for preparing coatings on the substrate.…”
Section: Experimental Methodologymentioning
confidence: 99%
“…Martensitic stainless steel (MSS), CA6NM (13Cr-4Ni) is one of the cast steel grades, used for hydro-turbine components. Many authors 19,66,105 used CA6NM turbine steel as reference material for comparative studies. To see the influence of operating parameters on the mechanism of erosion, Grewal et al 23 investigated the SE performance of CA6NM at different velocities, impingement angles and slurry concentrations.…”
Section: Stainless Steels and Other Materialsmentioning
confidence: 99%
“…57 Many authors investigated the erosion wear and their analysis was based upon either the signal to noise ratio, L4 orthogonal array, and ANOVA analysis. 14,24,26,27,31,[57][58][59]66,67,[83][84][85][86] SE wear can be considered a non-linear process with respect to operating parameters. Taguchi is a powerful tool for the design of experiment for such investigations with means of modeling and its analysis for finding the effect of governing factors on performance.…”
Section: Introductionmentioning
confidence: 99%
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