Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken design
The current study focuses on the parametric optimization of electroless Ni-Co-P coating considering surface roughness as a response using Box-Behnken Design (BBD) of experiment. The two bath parameters namely the concentration of cobalt sulphate and sodium hypophosphite were varied along with the ba...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2019-12-01
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| Series: | Journal of the Mechanical Behavior of Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/jmbm-2019-0017 |
| _version_ | 1818692321272659968 |
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| author | Sarkar Subhasish Mukherjee Arghya Kumar Baranwal Rishav De Jhumpa Biswas Chanchal Majumdar Gautam |
| author_facet | Sarkar Subhasish Mukherjee Arghya Kumar Baranwal Rishav De Jhumpa Biswas Chanchal Majumdar Gautam |
| author_sort | Sarkar Subhasish |
| collection | DOAJ |
| description | The current study focuses on the parametric optimization of electroless Ni-Co-P coating considering surface roughness as a response using Box-Behnken Design (BBD) of experiment. The two bath parameters namely the concentration of cobalt sulphate and sodium hypophosphite were varied along with the bath temperature to predict the variation in surface roughness. Analysis of variance (ANOVA) method has been applied to determine the interactions of the substantial factors which dominate the surface roughness of the coating. The process parameters for surface roughness of the coating were optimized by successfully utilizing the statistical model of Box-Behnken Design (BBD) of experiment. From the BBD model, the optimum condition for the deposition of the coating has been evaluated. In that specific condition, the surface roughness of the as-deposited coating is found to be 0.913μm. Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDX), and X-Ray Diffraction (XRD) study have been utilized to characterize the electroless Ni-Co-P coating deposited in optimized condition. |
| first_indexed | 2024-12-17T12:55:56Z |
| format | Article |
| id | doaj.art-cb673f1b64b94641b40d09fc27cc7a86 |
| institution | Directory Open Access Journal |
| issn | 2191-0243 |
| language | English |
| last_indexed | 2024-12-17T12:55:56Z |
| publishDate | 2019-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Journal of the Mechanical Behavior of Materials |
| spelling | doaj.art-cb673f1b64b94641b40d09fc27cc7a862022-12-21T21:47:28ZengDe GruyterJournal of the Mechanical Behavior of Materials2191-02432019-12-0128115316110.1515/jmbm-2019-0017jmbm-2019-0017Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken designSarkar Subhasish0Mukherjee Arghya1Kumar Baranwal Rishav2De Jhumpa3Biswas Chanchal4Majumdar Gautam5Department of Mechanical Engineering, Jadavpur University, Kolkata-700032, IndiaDepartment of Mechanical Engineering, Jadavpur University, Kolkata-700032, IndiaDepartment of Mechanical Engineering, Jadavpur University, Kolkata-700032, IndiaDepartment of Mechanical Engineering, Academy of Technology, Hooghly-712121, IndiaDepartment of Metallurgical and Materials Engineering, Jadavpur University, Kolkata-700032, IndiaDepartment of Mechanical Engineering, Jadavpur University, Kolkata-700032, IndiaThe current study focuses on the parametric optimization of electroless Ni-Co-P coating considering surface roughness as a response using Box-Behnken Design (BBD) of experiment. The two bath parameters namely the concentration of cobalt sulphate and sodium hypophosphite were varied along with the bath temperature to predict the variation in surface roughness. Analysis of variance (ANOVA) method has been applied to determine the interactions of the substantial factors which dominate the surface roughness of the coating. The process parameters for surface roughness of the coating were optimized by successfully utilizing the statistical model of Box-Behnken Design (BBD) of experiment. From the BBD model, the optimum condition for the deposition of the coating has been evaluated. In that specific condition, the surface roughness of the as-deposited coating is found to be 0.913μm. Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDX), and X-Ray Diffraction (XRD) study have been utilized to characterize the electroless Ni-Co-P coating deposited in optimized condition.https://doi.org/10.1515/jmbm-2019-0017electroless coatingbox-behnken designsurface roughnessanovasemedxxrd analysis |
| spellingShingle | Sarkar Subhasish Mukherjee Arghya Kumar Baranwal Rishav De Jhumpa Biswas Chanchal Majumdar Gautam Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken design Journal of the Mechanical Behavior of Materials electroless coating box-behnken design surface roughness anova sem edx xrd analysis |
| title | Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken design |
| title_full | Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken design |
| title_fullStr | Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken design |
| title_full_unstemmed | Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken design |
| title_short | Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken design |
| title_sort | prediction and parametric optimization of surface roughness of electroless ni co p coating using box behnken design |
| topic | electroless coating box-behnken design surface roughness anova sem edx xrd analysis |
| url | https://doi.org/10.1515/jmbm-2019-0017 |
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