A model to predict the solid particle erosion rate of metals and its assessment using heat-treated steels

Wear ◽  
2001 ◽  
Vol 248 (1-2) ◽  
pp. 162-177 ◽  
Author(s):  
D.J O’Flynn ◽  
M.S Bingley ◽  
M.S.A Bradley ◽  
A.J Burnett
Author(s):  
Bijan Mohammadi ◽  
AmirSajjad Khoddami

Solid particle erosion is one of the main failure mechanisms of a compressor blade. Thus, characterization of this damage mode is very important in life assessment of the compressor. Since experimental study of solid particle erosion needs special methods and equipment, it is necessary to develop erosion computer models. This study presents a coupled temperature–displacement finite element model to investigate damage of a compressor blade due to multiple solid particles erosion. To decrease the computational cost, a representative volume element technique is introduced to simulate simultaneous impact of multiple particles. Blade has been made of Ti-6Al-4V, a ductile titanium-based alloy, which is impacted by alumina particles. Erosion finite element modeling is assumed as a micro-scale impact problem and Johnson–Cook constitutive equations are used to describe Ti-6Al-4V erosive behavior. In regard to a wide variation range in thermal conditions all over the compressor, it is divided into three parts (first stages, middle stages, and last stages) in which each part has an average temperature. Effective parameters on erosive behavior of the blade alloy, such as impact angle, particles velocity, and particles size are studied in these three temperatures. Results show that middle stages are the most critical sites of the compressor in terms of erosion damage. An exponential relation is observed between erosion rate and particles velocity. The dependency of erosion rate on size of particles at high temperatures is indispensable.


Author(s):  
S. G. Sapate ◽  
Manish Roy

Solid particle erosion is an important material degradation mechanism. Although various methods of coating are tried and used for protection against erosion, thermal sprayed coating for such purpose is the most widely used method. In this chapter, evolution of thermal sprayed coating, erosion testing methods, and erosive wear of thermal sprayed coatings are discussed extensively with emphasis on recent developments. It is generally found that erosion of thermal sprayed coatings depends on erosion test conditions, microstructural features, and mechanical properties of the coating materials. Most thermal sprayed coatings respond in brittle manner having maximum erosion rate at oblique impact and velocity exponent in excess of 3.0. Erosion rate is also dependent on thermal spraying techniques and post coating treatment. However, little work is done on dependence of erosion rate on coating techniques and coating conditions. Future direction of work is also reported.


Wear ◽  
1994 ◽  
Vol 171 (1-2) ◽  
pp. 211-214 ◽  
Author(s):  
T.S. Lee ◽  
J.L. Routbort ◽  
K.C. Goretta ◽  
R.B. Schwarz ◽  
T.J. Tiainen ◽  
...  

2015 ◽  
Vol 30 (7) ◽  
pp. 1003-1016 ◽  
Author(s):  
Jyoti R Mohanty

The present investigation reports about the solid particle erosion behavior of randomly oriented short date palm leaf (DPL) fiber-reinforced polyvinyl pyrrolidone composites. The erosion rates of these composites have been evaluated at different impingement angles (15–90°) and impact velocities (48–109 m/s). The neat polyvinyl pyrrolidone shows maximum erosion rate at 30° impingement angle, whereas, PVA/DPL composites exhibit maximum erosion rate at 45° impingement angle irrespective of fiber loading showing semi-ductile behavior. Erosion efficiency ( η) values (2.83–15.29%) indicate micro-ploughing and micro-cutting as dominant wear mechanisms. The morphology of eroded surfaces was examined by scanning electron microscopy. Possible erosion mechanisms are discussed.


2007 ◽  
Vol 27 (14-15) ◽  
pp. 2394-2403 ◽  
Author(s):  
Alfonso Campos-Amezcua ◽  
Armando Gallegos-Muñoz ◽  
C. Alejandro Romero ◽  
Zdzislaw Mazur-Czerwiec ◽  
Rafael Campos-Amezcua

2012 ◽  
Vol 585 ◽  
pp. 549-553 ◽  
Author(s):  
Prasanta Kumar Padhi ◽  
Alok Satapathy

Solid particle erosion (SPE) wear characteristics of particulate filled polymer matrix composites have been widely explored by different investigators. Through judicious control of reinforcing solid particulate phase, selection of matrix and suitable processing technique, composites can be prepared to tailor the properties needed for any specific application. Due to high cost of conventional ceramic fillers, it has become important to explore the potential of cheap materials like mineral ores and industrial wastes for utilization in preparing particle-reinforced polymer composites. Previous researchers have reported the use of industrial wastes such as fly ash and red mud as filler materials in polymeric matrices. But the reinforcing potential of blast furnace slag (BFS) particle, a solid waste generated from pig iron production route, has not been explored so far in polymeric materials. In this work, composite samples are prepared by reinforcing micro-sized blast furnace slag as the particulate filler in epoxy resin reinforced with bi-directional glass fibre. Different specimens with varied BFS content (0, 10, 20 and 30 wt %) are fabricated by simple hand lay-up technique. They are subjected to solid particle erosion using an air jet type erosion test rig. Erosion tests are carried out by following a well designed experimental schedule based on Taguchi’s orthogonal array. Here, factors like BFS content, impact velocity, erodent temperature and impingement angle in declining sequence are found to be significant to minimize the erosion rate. A prediction model based on artificial neural network is proposed to predict the erosion performance of the composites under a wide range of erosive wear conditions. This model is based on the database obtained from the experiments and involves training, testing and prediction protocols. This work shows that an ANN model helps in saving time and resources that are required for a large number of experimental trials and successfully predicts the erosion rate of composites both within and beyond the experimental domain.


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