ANN SUPPORTED STUDY ON THE PERFORMANCE AND SLURRY EROSION RESISTANCE OF THERMAL SPRAYED WC20CR3C27NI COATINGS

IF 1.2 4区 材料科学 Q4 CHEMISTRY, PHYSICAL
DIGVIJAY G. BHOSALE, POONAM BHOSALE, AMRUT BHOSALE, YOGESH INGALE, HITESH VASUDEV, T. RAM PRABHU
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引用次数: 0

Abstract

The thermal spray coatings are commonly employed in slurry pump components and hydrodynamic turbine blades, where wear progression is an intricate phenomenon. In this research work, the performance analysis of HVOF and APS sprayed WC20Cr 3 C 2 7Ni coatings for slurry erosion wear is carried out by using artificial neural networks (ANN). The influence of time, particle size, impact angle, speed, and slurry concentration on wear performance of coatings and turbine steel substrate are evaluated. Under the experimental settings, slurry erosion wear rates and mass loss for both coatings and substrate were determined. When ASTM A743 steel was coated with thermal sprayed WC20Cr 3 C 2 7Ni coatings, the slurry erosion wear resistance of the steel was enhanced by 2 and 3.5 times for APS and HVOF coatings, respectively. The design of ANN made it possible to examine the interactions between the seven input variables. A robust model was formed by the two outputs that followed. This model enables the prediction of slurry erosion wear rate and mass loss of WC20Cr 3 C 2 7Ni coatings and substrate.
研究了热喷涂wc20cr3c27ni涂层的性能和抗浆液侵蚀性能
热喷涂涂层通常用于泥浆泵部件和流体动力涡轮叶片,其中磨损过程是一个复杂的现象。本研究采用人工神经网络对HVOF和APS喷涂的wc20cr3c27ni涂层进行了浆液冲蚀磨损性能分析。评估了时间、粒度、冲击角度、速度和浆液浓度对涂层和透平钢基体磨损性能的影响。在实验条件下,测定了涂层和基体的浆液侵蚀磨损率和质量损失。在ASTM A743钢表面喷涂热喷涂wc20cr3c27ni涂层,APS涂层和HVOF涂层分别使钢的浆液侵蚀磨损性能提高了2倍和3.5倍。人工神经网络的设计使得检查七个输入变量之间的相互作用成为可能。随后的两个输出形成了一个健壮的模型。该模型能够预测wc20cr3c27ni涂层和基体的浆液侵蚀磨损速率和质量损失。
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来源期刊
Surface Review and Letters
Surface Review and Letters 工程技术-物理:凝聚态物理
CiteScore
2.20
自引率
9.10%
发文量
139
审稿时长
4.2 months
期刊介绍: This international journal is devoted to the elucidation of properties and processes that occur at the boundaries of materials. The scope of the journal covers a broad range of topics in experimental and theoretical studies of surfaces and interfaces. Both the physical and chemical properties are covered. The journal also places emphasis on emerging areas of cross-disciplinary research where new phenomena occur due to the presence of a surface or an interface. Representative areas include surface and interface structures; their electronic, magnetic and optical properties; dynamics and energetics; chemical reactions at surfaces; phase transitions, reconstruction, roughening and melting; defects, nucleation and growth; and new surface and interface characterization techniques.
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