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Analysis on suitability of HVOF sprayed Ni-20Al, Ni-20Cr and Al-20Ti coatings in coal-ash slurry conditions using artificial neural network model

机译:使用人工神经网络模型分析HVOF喷涂Ni-20AL,Ni-20cr和Al-20ti涂层的涂层粉碎条件

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Purpose The purpose of this study is to analyze the slurry erosion failure of Ni-20Cr (Ni-Cr2O3), Ni-20Al (Ni-Al2O3) and Al-20Ti (Al2O3-TiO2) coatings deposited on SS316L by the high-velocity oxy-fuel process. Design/methodology/approach Slurry erosion experiments were conducted using a pot type erosion tester at different velocities 1.81, 2.71, 3.61 and 4.59 m/s for the time duration of 90-180 minutes. Fly ash and bottom ash were used as erodent media; the concentration of mass flux was taken as 30-60 wt. per cent. Artificial neural network (ANN) method was used to simulate the slurry erosion for thermally sprayed coatings. Findings Slurry erosion of coatings increases non-linearly with an increase in experimental durations, mass flux and velocity. Slurry erosion of Ni-20Cr and Ni-20Al layers was found to be maximum at 60 degrees impingement angle, whereas 30 degrees for SS316L and 45 degrees for Al-20Ti coating. Slurry erosion performance of SS316L was improved by 2.56-3.19 times by depositing Ni-20Cr and Ni-20Al layers, whereas it improved 1.15-1.75 times by Al-20Ti coating. The slurry erosion SS316L was found almost 1.35 +/- 1.28 times greater than that of the Ni-20Al coating, whereas it was to be 1.12 +/- 1.36 times greater than Al-20Ti. Ni-20Al-coated SS316L showed a lower value of slurry erosion than Al-20Ti-coated SS316L. Practical implications - Stainless Steel SS316L is widely used in hydraulic machinery (such as turbines, pumps, valves, fittings, etc.) of hydraulic and thermal power plants, chemical industry and marine industry. Therefore, the deposition of ductile and brittle coatings is a better option for their durable performance. Originality/value Erosion wear of Ni-20Cr, Ni-20Al and Al-20Ti coatings was successfully simulated by using an artificial neural network model by supplying experimental data as a target.
机译:目的本研究的目的是分析Ni-20cr(Ni-Cr2O3),Ni-20al(Ni-Al2O3)和Al-20Ti(Al2O3-TiO 2)涂层的浆料腐蚀性衰竭通过高速氧沉积在SS316L上的涂层-fuel process。使用罐式腐蚀测试仪在不同速度1.81,2.71,3.61和4.59m / s的时间持续时间为90-180分钟,使用罐式腐蚀测试仪进行设计/方法/方法。粉煤灰和底灰被用作腐蚀介质;将质量通量的浓度置于30-60重量%。百分。人工神经网络(ANN)方法用于模拟热喷涂涂层的泥浆腐蚀。发现涂层的浆料腐蚀非线性地增加,随着实验持续时间,质量通量和速度的增加而增加。发现Ni-20cr和Ni-20Al层的浆料侵蚀在60度撞击角度下最大,而SS316L的30度和Al-20Ti涂层的45度。通过沉积Ni-20CR和Ni-20AL层,SS316L的浆料腐蚀性能得到了2.56-3.19次,而通过Al-20Ti涂层改善1.15-1.75次。浆料侵蚀SS316L发现差约比Ni-20涂层的涂层大约1.35 +/- 1.28倍,而它为1.12 +/- 1.36倍,大于Al-20Ti。 Ni-20AL涂覆的SS316L显示浆料腐蚀的较低值,而不是涂覆的SS316L。实用影响 - 不锈钢SS316L广泛用于液压机械(如涡轮机,泵,阀门,配件等),液压和火力发电厂,化工和海洋工业。因此,延展性和脆性涂层的沉积是它们耐用性能的更好选择。通过使用人工神经网络模型通过将实验数据作为目标来成功模拟Ni-20CR,Ni-20AL和Al-20TI涂层的原始性/值侵蚀磨损。

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