Modelling and Optimization Study on Hardness of Ni-Fe Alloy Thin Films through Electroplating Process
The hardness of the coated surfaces by nickel-iron electroplating process is closely linked to the characteristics of deposited layer. These characteristics depend on various process variables, such as current density, temperature, pH and stirring. This work presents the modelling and the optimizati...
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Published in | Applied Mechanics and Materials Vol. 657; no. Engineering Solutions and Technologies in Manufacturing; pp. 286 - 290 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.10.2014
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Subjects | |
Online Access | Get full text |
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Summary: | The hardness of the coated surfaces by nickel-iron electroplating process is closely linked to the characteristics of deposited layer. These characteristics depend on various process variables, such as current density, temperature, pH and stirring. This work presents the modelling and the optimization of nickel-iron electroplating process variables to maximize the surface hardness. To study the combined effect of current density J (A/dm2), temperature T (°C) and pH were used a 23 orthogonal central composite experimental design for experiments design and Response Surface Methodology for analysis of experimental results. The modelling was performed using the following intervals for process variables: 1.75 - 3.51 A/dm2 for current density, 25-35 °C for temperature and 2.5-3.5 for pH. The empirical model was further used in the optimization process using the Gradient method. The optimum values of these electroplating process variables were found to be J = 2.23 A/dm2, T = 30.80°C and pH = 2.81; in this point the surface hardness is 136.89 HV given by empirical model and 137.52 confirmed experimentally. |
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Bibliography: | Selected, peer reviewed papers from the Innovative Manufacturing Engineering Conference 2014 (IManE 2014), May 29-30, Chisinau, Republic of Moldova ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISBN: | 9783038352754 3038352756 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.657.286 |