A fuzzy model for evaluation and prediction of slurry erosion of 5127 steels

Hassan, Mohsen A.; El-Sharief, Mahmoud A.; AboulKasem, A.; Ramesh, S.; Purbolaksono, J.

doi:10.1016/j.matdes.2012.02.012

Cited by 15 publications

(10 citation statements)

References 15 publications

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“…Hassan et al [94] used a fuzzy logic model to predict erosive wear. Fuzzy logic is related to solving various problems that cover a wide range of applications and provides flexible solutions.…”

Section: Steelsmentioning

confidence: 99%

An Influence of Factors of Flow Condition, Particle and Material Properties on Slurry Erosion Resistance

Buszko

Krella

2019

Advances in Materials Science

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The degradation of materials due to slurry erosion is the serious problem which occurs in the power industries. The paper presents actual knowledge about an influence of individual factors connected with flow conditions, particles and material properties on the slurry erosion resistance. Among the factors connected with operating conditions, an influence of impact angle, and velocity of impact, particle concertation and liquid temperature have been described. In case of the factors connected with solid particle properties, an influence of the size, shape and hardness have been discussed. In the part devoted to the impact of material properties, due to different types of materials, the issues of resistance to erosion of slurries related to the properties of steel, ceramics and polymers are discussed separately. In the paper has been shown that a change of any of mentioned factors causes a change in the erosion rate due to the synergistic effects that accompany to slurry degradation.

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Section: Steelsmentioning

confidence: 99%

An Influence of Factors of Flow Condition, Particle and Material Properties on Slurry Erosion Resistance

Buszko

Krella

2019

Advances in Materials Science

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“…Many authors have considered the CFs of eroding particles in their investigations. 12,19,22,23,[33][34][35]37,38,40,[42][43][44][45][46][47][48][49][50][51][52][53][54][55] Similarly, some of them have considered the aspect ratio as the shape factor. [33][34][35]37,38,42,44,50,51,55 Slurry erosive wear depends upon the hardness of the targeted component material and the erodent particles.…”

Section: Introductionmentioning

confidence: 99%

Insights to improve the tribo-performance of materials used under slurry erosion applications: A review

Yadav

Singh²

2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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Slurry erosion usually results in the form of damage to the materials of different components having underwater working domain. Numerous industries have suffered due to this kind of wear resulting in frequent breakdowns demanding repeated financial assistance and poor productivity. Properties and tribo-performance of materials related to distinct slurry applications play a significant role in arresting the slurry erosion wear. Slurry erosion depends on different parameters such as impact velocity, impingement angle, shape and size of erodent, slurry concentration and so on. These parameters differ from one application to another and accordingly, specific materials are selected knowing the extent and severity of slurry erosion wear. In the last decade, many authors studied parametrically the tribo-slurry erosion performance of materials, few of them correlated their investigations to the actual in situ conditions of applications. Various authors have analyzed the effect of operating parameters on the mechanism of erosion and conducted the comparative studies of different materials. Many of the investigators attempted to improve the properties and tribo-slurry erosion performance of materials through surface modification techniques; coating, reinforcement, heat treatment, thermo-mechanical process etc. This review is an effort to covers all such kind of explorations.

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“…Additionally, ANFIS has been used in modeling and evaluating slurry erosion of metallic materials. For example, Hassan et al [ 19 ], developed a fuzzy model to evaluate and predict the slurry erosion of 5127 steel. Their developed model achieved a good agreement with experimental results.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Neuro-Fuzzy Inference System for Modelling the Effect of Slurry Impacts on PLA Material Processed by FDM

et al. 2020

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In this research, the effect of water-silica slurry impacts on polylactic acid (PLA) processed by fused deposition modeling (FDM) is examined under different conditions with the assistance of an adaptive neuro-fuzzy interference system (ANFIS). Building orientation, layer thickness, and slurry impact angle are considered as the controllable variables. Weight gain resulting from water, net weight gain, and total weight gain are the predicting variables. Results uncover the accomplishment of the ANFIS model to appropriately appraise slurry erosion in correlation with comparing real data. Both experimental and ANFIS results are almost identical with average percentage error less than 5.45 × 10−6. We observed during the slurry impacts tests that all specimens showed an increase in their weights. This weight gain was finally interpreted to the synergetic effect of water absorption and the solid particles fragmentations immersed within the specimens due to the successive slurry impacts.

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A fuzzy model for evaluation and prediction of slurry erosion of 5127 steels

Cited by 15 publications

References 15 publications

An Influence of Factors of Flow Condition, Particle and Material Properties on Slurry Erosion Resistance

An Influence of Factors of Flow Condition, Particle and Material Properties on Slurry Erosion Resistance

Insights to improve the tribo-performance of materials used under slurry erosion applications: A review

Adaptive Neuro-Fuzzy Inference System for Modelling the Effect of Slurry Impacts on PLA Material Processed by FDM

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