کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6894372 | 1445576 | 2016 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-objective optimization of electroless ternary Nickel-Cobalt-Phosphorous coating using non-dominant sorting genetic algorithm-II
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
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چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Science and Technology, an International Journal - Volume 19, Issue 3, September 2016, Pages 1526-1533
Journal: Engineering Science and Technology, an International Journal - Volume 19, Issue 3, September 2016, Pages 1526-1533
نویسندگان
Jhumpa De, Tushar Banerjee, Rajat Subhra Sen, Buddhadeb Oraon, Gautam Majumdar,