Study on Abrasive Coal-Slurry Flow and Erosion Wear of NiCrBSiCoFeWC HVOF Coating for Coal-Conveying Slurry Pumps Using Machine Learning Approach.
Saved in:
| Title: | Study on Abrasive Coal-Slurry Flow and Erosion Wear of NiCrBSiCoFeWC HVOF Coating for Coal-Conveying Slurry Pumps Using Machine Learning Approach. |
|---|---|
| Authors: | Singh, Jashanpreet1,2 (AUTHOR) ijashanpreet@gmail.com, Sharma, Vikas1,2 (AUTHOR), Singh, Amanpreet3 (AUTHOR) |
| Source: | International Journal of Coal Preparation & Utilization. 2026, Vol. 46 Issue 6, p1679-1712. 34p. |
| Subject Terms: | *Slurry, *Machine learning, *Mechanical wear, *Metal spraying, *Material erosion |
| Abstract: | In the present study, the slurry erosion of NiCrBSiCoFeWC coatings under different impact angles, slurry concentrations, and median particle size of coal slurry has been investigated successfully using machine learning approach. Different machine learning techniques were applied to evaluate the erosion wear. Results showed that the wear performance of SS316L steel was improved by the deposition of NiCrBSiFeWC coating. Analysis of the surface morphology shows that impact angle plays a major role in the wear behavior with lower (30°) impact angles leading to micro cutting and plowing while higher (60°) impact angles resulting in extensive cratering, material displacement, and coating delamination. Wear is intensified as slurry concentration is increased from 30 wt.% to 60 wt.% which changes the major wear mechanisms from minor smearing and cutting to deep cratering and plowing. At the same time, the erosion patterns were also affected by the median particle size in which smaller particles ( |
| Database: | Energy & Power Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 194221858 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Study on Abrasive Coal-Slurry Flow and Erosion Wear of NiCrBSiCoFeWC HVOF Coating for Coal-Conveying Slurry Pumps Using Machine Learning Approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Singh%2C+Jashanpreet%22">Singh, Jashanpreet</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ijashanpreet@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sharma%2C+Vikas%22">Sharma, Vikas</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Singh%2C+Amanpreet%22">Singh, Amanpreet</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Coal+Preparation+%26+Utilization%22">International Journal of Coal Preparation & Utilization</searchLink>. 2026, Vol. 46 Issue 6, p1679-1712. 34p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Slurry%22">Slurry</searchLink><br />*<searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Mechanical+wear%22">Mechanical wear</searchLink><br />*<searchLink fieldCode="DE" term="%22Metal+spraying%22">Metal spraying</searchLink><br />*<searchLink fieldCode="DE" term="%22Material+erosion%22">Material erosion</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In the present study, the slurry erosion of NiCrBSiCoFeWC coatings under different impact angles, slurry concentrations, and median particle size of coal slurry has been investigated successfully using machine learning approach. Different machine learning techniques were applied to evaluate the erosion wear. Results showed that the wear performance of SS316L steel was improved by the deposition of NiCrBSiFeWC coating. Analysis of the surface morphology shows that impact angle plays a major role in the wear behavior with lower (30°) impact angles leading to micro cutting and plowing while higher (60°) impact angles resulting in extensive cratering, material displacement, and coating delamination. Wear is intensified as slurry concentration is increased from 30 wt.% to 60 wt.% which changes the major wear mechanisms from minor smearing and cutting to deep cratering and plowing. At the same time, the erosion patterns were also affected by the median particle size in which smaller particles (<D50) of higher kinetic energy gave rise to deep craters, while larger particles (>D50) caused lower, more uniform erosion. Results also confirmed that the wear mechanisms are greatly a function of operational variables. It is recommended that the optimum coating compositions and impact conditions must be optimized for enhanced erosion resistance in harsh environments. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194221858 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/19392699.2025.2505456 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 1679 Subjects: – SubjectFull: Slurry Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Mechanical wear Type: general – SubjectFull: Metal spraying Type: general – SubjectFull: Material erosion Type: general Titles: – TitleFull: Study on Abrasive Coal-Slurry Flow and Erosion Wear of NiCrBSiCoFeWC HVOF Coating for Coal-Conveying Slurry Pumps Using Machine Learning Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Singh, Jashanpreet – PersonEntity: Name: NameFull: Sharma, Vikas – PersonEntity: Name: NameFull: Singh, Amanpreet IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19392699 Numbering: – Type: volume Value: 46 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Coal Preparation & Utilization Type: main |
| ResultId | 1 |
