Process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution
As a candidate coating material for heat-exchanger surfaces in commercial power generation boiler, an amorphous/glass forming Fe-Cr-B alloy NanoSteel SHS 7170 was deposited by a 2 kW fibre laser onto a boiler grade steel substrate (15Mo3). A comprehensive trial with 28 single track optimisation runs...
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| Format: | Article |
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Elsevier
2018
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| Online Access: | https://eprints.nottingham.ac.uk/52188/ |
| _version_ | 1848798668855967744 |
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| author | Reddy, Liam Preston, Simon P. Shipway, P.H. Davis, C. Hussain, Tanvir |
| author_facet | Reddy, Liam Preston, Simon P. Shipway, P.H. Davis, C. Hussain, Tanvir |
| author_sort | Reddy, Liam |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | As a candidate coating material for heat-exchanger surfaces in commercial power generation boiler, an amorphous/glass forming Fe-Cr-B alloy NanoSteel SHS 7170 was deposited by a 2 kW fibre laser onto a boiler grade steel substrate (15Mo3). A comprehensive trial with 28 single track optimisation runs was carried out to develop models of the influence of three processing parameters, laser power, laser traverse speed and powder feed rate, on powder deposition efficiency, dilution and porosity. It was found that deposition efficiency is dependent on laser power and powder feed rate, increasing with increasing power and decreasing powder feed rate when tested within the parameter window of laser power ranging from 0.4 to 2 kW; traverse speed varying from 150 to 1200 mm min‑1; and powder feed rate varying from 4 to 10 g min‑1. Similarly, it was found that dilution is also dependent on laser power and powder feed rate. Dilution increases with increasing power and decreases with increasing powder feed rate within the same parameter window discussed above. This means that through processing parameter selection, these properties can be adjusted to suit their application. Porosity was found to be independent of processing parameters and instead mostly dependent on the feedstock material. A model was produced for predicting porosity within a powder feedstock, found to be 8.5%. These models were used to successfully produce an optimised coating. |
| first_indexed | 2025-11-14T20:23:26Z |
| format | Article |
| id | nottingham-52188 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:23:26Z |
| publishDate | 2018 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-521882020-05-04T19:49:13Z https://eprints.nottingham.ac.uk/52188/ Process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution Reddy, Liam Preston, Simon P. Shipway, P.H. Davis, C. Hussain, Tanvir As a candidate coating material for heat-exchanger surfaces in commercial power generation boiler, an amorphous/glass forming Fe-Cr-B alloy NanoSteel SHS 7170 was deposited by a 2 kW fibre laser onto a boiler grade steel substrate (15Mo3). A comprehensive trial with 28 single track optimisation runs was carried out to develop models of the influence of three processing parameters, laser power, laser traverse speed and powder feed rate, on powder deposition efficiency, dilution and porosity. It was found that deposition efficiency is dependent on laser power and powder feed rate, increasing with increasing power and decreasing powder feed rate when tested within the parameter window of laser power ranging from 0.4 to 2 kW; traverse speed varying from 150 to 1200 mm min‑1; and powder feed rate varying from 4 to 10 g min‑1. Similarly, it was found that dilution is also dependent on laser power and powder feed rate. Dilution increases with increasing power and decreases with increasing powder feed rate within the same parameter window discussed above. This means that through processing parameter selection, these properties can be adjusted to suit their application. Porosity was found to be independent of processing parameters and instead mostly dependent on the feedstock material. A model was produced for predicting porosity within a powder feedstock, found to be 8.5%. These models were used to successfully produce an optimised coating. Elsevier 2018-09-15 Article PeerReviewed Reddy, Liam, Preston, Simon P., Shipway, P.H., Davis, C. and Hussain, Tanvir (2018) Process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution. Surface and Coatings Technology, 349 . pp. 198-207. ISSN 1879-3347 Process modelling; NanoSteel; Laser cladding; Porosity; Dilution; Boiler coatings https://doi.org/10.1016/j.surfcoat.2018.05.054 doi:10.1016/j.surfcoat.2018.05.054 doi:10.1016/j.surfcoat.2018.05.054 |
| spellingShingle | Process modelling; NanoSteel; Laser cladding; Porosity; Dilution; Boiler coatings Reddy, Liam Preston, Simon P. Shipway, P.H. Davis, C. Hussain, Tanvir Process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution |
| title | Process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution |
| title_full | Process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution |
| title_fullStr | Process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution |
| title_full_unstemmed | Process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution |
| title_short | Process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution |
| title_sort | process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution |
| topic | Process modelling; NanoSteel; Laser cladding; Porosity; Dilution; Boiler coatings |
| url | https://eprints.nottingham.ac.uk/52188/ https://eprints.nottingham.ac.uk/52188/ https://eprints.nottingham.ac.uk/52188/ |