Multi-objective optimization of electroless ternary Nickel–Cobalt–Phosphorous coating using non-dominant sorting genetic algorithm-II
Study of electroless Nickel–Cobalt–Phosphorous coating was conducted on pure Copper substrate. The weight percentages of Nickel and Cobalt in the deposited mass, evaluated through energy dispersive X-ray analysis, have been selected as the response variables for statistical analysis. A response surf...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2016-09-01
|
| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221509861530327X |
| _version_ | 1818288236598919168 |
|---|---|
| author | Jhumpa De Tushar Banerjee Rajat Subhra Sen Buddhadeb Oraon Gautam Majumdar |
| author_facet | Jhumpa De Tushar Banerjee Rajat Subhra Sen Buddhadeb Oraon Gautam Majumdar |
| author_sort | Jhumpa De |
| collection | DOAJ |
| description | Study of electroless Nickel–Cobalt–Phosphorous coating was conducted on pure Copper substrate. The weight percentages of Nickel and Cobalt in the deposited mass, evaluated through energy dispersive X-ray analysis, have been selected as the response variables for statistical analysis. A response surface model with central composite design is developed to explain the effect of curvature in the predicted responses. Student’s t test has identified that concentration of Cobalt Sulfate is the significant process parameter for both the responses. The response surface plots and p-values have predicted the same. Fisher’s F test confirms that the response surface equation has excellent fitting to the observed values. A multi-objective optimization method has been employed in a quest to obtain the optimal values of process parameters, to maximize the responses. The Pareto optimal front of solutions, obtained from NSGA-II, provides more flexibility to the decision maker with the values of the optimal process parameters. |
| first_indexed | 2024-12-13T01:53:11Z |
| format | Article |
| id | doaj.art-66404d8dcd4d4b289537457012f027f4 |
| institution | Directory Open Access Journal |
| issn | 2215-0986 |
| language | English |
| last_indexed | 2024-12-13T01:53:11Z |
| publishDate | 2016-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering Science and Technology, an International Journal |
| spelling | doaj.art-66404d8dcd4d4b289537457012f027f42022-12-22T00:03:28ZengElsevierEngineering Science and Technology, an International Journal2215-09862016-09-011931526153310.1016/j.jestch.2016.04.011Multi-objective optimization of electroless ternary Nickel–Cobalt–Phosphorous coating using non-dominant sorting genetic algorithm-IIJhumpa De0Tushar Banerjee1Rajat Subhra Sen2Buddhadeb Oraon3Gautam Majumdar4Department of Mechanical Engineering, Academy of Technology, Hooghly, IndiaDepartment of Mechanical Engineering, Indian Institute of Technology Kharagpur, West Bengal 721302, IndiaDepartment of Mechanical Engineering, Jadavpur University, IndiaDepartment of Mechanical Engineering, Jadavpur University, IndiaDepartment of Mechanical Engineering, Jadavpur University, IndiaStudy of electroless Nickel–Cobalt–Phosphorous coating was conducted on pure Copper substrate. The weight percentages of Nickel and Cobalt in the deposited mass, evaluated through energy dispersive X-ray analysis, have been selected as the response variables for statistical analysis. A response surface model with central composite design is developed to explain the effect of curvature in the predicted responses. Student’s t test has identified that concentration of Cobalt Sulfate is the significant process parameter for both the responses. The response surface plots and p-values have predicted the same. Fisher’s F test confirms that the response surface equation has excellent fitting to the observed values. A multi-objective optimization method has been employed in a quest to obtain the optimal values of process parameters, to maximize the responses. The Pareto optimal front of solutions, obtained from NSGA-II, provides more flexibility to the decision maker with the values of the optimal process parameters.http://www.sciencedirect.com/science/article/pii/S221509861530327XElectroless Ni–Co–P coatingFisher’s F-testp-ValuesMulti-objective optimizationGenetic algorithmsNSGA-II |
| spellingShingle | Jhumpa De Tushar Banerjee Rajat Subhra Sen Buddhadeb Oraon Gautam Majumdar Multi-objective optimization of electroless ternary Nickel–Cobalt–Phosphorous coating using non-dominant sorting genetic algorithm-II Engineering Science and Technology, an International Journal Electroless Ni–Co–P coating Fisher’s F-test p-Values Multi-objective optimization Genetic algorithms NSGA-II |
| title | Multi-objective optimization of electroless ternary Nickel–Cobalt–Phosphorous coating using non-dominant sorting genetic algorithm-II |
| title_full | Multi-objective optimization of electroless ternary Nickel–Cobalt–Phosphorous coating using non-dominant sorting genetic algorithm-II |
| title_fullStr | Multi-objective optimization of electroless ternary Nickel–Cobalt–Phosphorous coating using non-dominant sorting genetic algorithm-II |
| title_full_unstemmed | Multi-objective optimization of electroless ternary Nickel–Cobalt–Phosphorous coating using non-dominant sorting genetic algorithm-II |
| title_short | Multi-objective optimization of electroless ternary Nickel–Cobalt–Phosphorous coating using non-dominant sorting genetic algorithm-II |
| title_sort | multi objective optimization of electroless ternary nickel cobalt phosphorous coating using non dominant sorting genetic algorithm ii |
| topic | Electroless Ni–Co–P coating Fisher’s F-test p-Values Multi-objective optimization Genetic algorithms NSGA-II |
| url | http://www.sciencedirect.com/science/article/pii/S221509861530327X |
| work_keys_str_mv | AT jhumpade multiobjectiveoptimizationofelectrolessternarynickelcobaltphosphorouscoatingusingnondominantsortinggeneticalgorithmii AT tusharbanerjee multiobjectiveoptimizationofelectrolessternarynickelcobaltphosphorouscoatingusingnondominantsortinggeneticalgorithmii AT rajatsubhrasen multiobjectiveoptimizationofelectrolessternarynickelcobaltphosphorouscoatingusingnondominantsortinggeneticalgorithmii AT buddhadeboraon multiobjectiveoptimizationofelectrolessternarynickelcobaltphosphorouscoatingusingnondominantsortinggeneticalgorithmii AT gautammajumdar multiobjectiveoptimizationofelectrolessternarynickelcobaltphosphorouscoatingusingnondominantsortinggeneticalgorithmii |