Experimental design for modelling and multi-response optimization of Fe–Ni electroplating process

2015 ◽  
Vol 96 ◽  
pp. 138-149 ◽  
Author(s):  
Maria Poroch-Seritan ◽  
Igor Cretescu ◽  
Corneliu Cojocaru ◽  
Sonia Amariei ◽  
Cornel Suciu
Keyword(s):  
Experimental Design ◽  
Response Optimization ◽  
Electroplating Process

Design of experiments for statistical modeling and multi-response optimization of nickel electroplating process

2011 ◽  
Vol 89 (2) ◽  
pp. 136-147 ◽  
Author(s):  
Maria Poroch-Seritan ◽  
Sonia Gutt ◽  
Gheorghe Gutt ◽  
Igor Cretescu ◽  
Corneliu Cojocaru ◽  
...  
Keyword(s):  
Design Of Experiments ◽  
Statistical Modeling ◽  
Nickel Electroplating ◽  
Response Optimization ◽  
Electroplating Process

scholarly journals Interaction of p-synephrine with p-chloranil: experimental design and multiple response optimization

RSC Advances ◽  
2016 ◽  
Vol 6 (69) ◽  
pp. 64967-64976 ◽  
Author(s):  
Marwa S. Elazazy ◽  
K. Ganesh ◽  
V. Sivakumar ◽  
Yasser H. A. Huessein
Keyword(s):  
Experimental Design ◽  
Factorial Design ◽  
Performance Characteristic ◽  
Present Approach ◽  
Multiple Response ◽  
Multiple Responses ◽  
Characteristic P ◽  
Multiple Response Optimization ◽  
Response Optimization

A multivariate factorial design was proposed for determination ofp-synephrine. Novelty of present approach stems from consolidating multiple responses into a unified performance characteristic.

scholarly journals Experimental design employed to square wave voltammetry response optimization for the glyphosate determination

2004 ◽  
Vol 15 (6) ◽  
pp. 865-871 ◽  
Author(s):  
Reinaldo F. Teófilo ◽  
Efraim L. Reis ◽  
César Reis ◽  
Gilmare A. da Silva ◽  
Lauro T. Kubota
Keyword(s):  
Experimental Design ◽  
Square Wave Voltammetry ◽  
Square Wave ◽  
Wave Voltammetry ◽  
Response Optimization

Decolorization and mineralization of Diarylide Yellow 12 (PY12) by photo-Fenton process: the Response Surface Methodology as the optimization tool

2012 ◽  
Vol 65 (10) ◽  
pp. 1795-1800 ◽  
Author(s):  
Edison GilPavas ◽  
Izabela Dobrosz-Gómez ◽  
Miguel Ángel Gómez-García
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Textile Industry ◽  
Fenton Process ◽  
Photo Degradation ◽  
Operational Conditions ◽  
Response Optimization ◽  
Wavelength Radiation ◽  
Optimized Conditions

The Response Surface Methodology (RSM) was applied as a tool for the optimization of the operational conditions of the photo-degradation of highly concentrated PY12 wastewater, resulting from a textile industry located in the suburbs of Medellin (Colombia). The Box-Behnken experimental Design (BBD) was chosen for the purpose of response optimization. The photo-Fenton process was carried out in a laboratory-scale batch photo-reactor. A multifactorial experimental design was proposed, including the following variables: the initial dyestuff concentration, the H2O2 and the Fe+2 concentrations, as well as the UV wavelength radiation. The photo-Fenton process performed at the optimized conditions resulted in ca. 100% of dyestuff decolorization, 92% of COD and 82% of TOC degradation. A kinetic study was accomplished, including the identification of some intermediate compounds generated during the oxidation process. The water biodegradability reached a final DBO5/DQO = 0.86 value.

scholarly journals Experimental Design in Constructing Low Temperature Sensor Based on Resistance Temperature Detector (RTD)

2020 ◽  
Vol 4 (2) ◽  
pp. 99
Author(s):  
Suwito Singgih ◽  
Moh Toifur ◽  
Suryandari Suryandari
Keyword(s):  
Thin Film ◽  
Experimental Design ◽  
Temperature Sensor ◽  
Electrolyte Solutions ◽  
Thin Layers ◽  
Film Resistance ◽  
Copper Electroplating ◽  
Temperature Detector ◽  
Electroplating Process ◽  
Response To Temperature

<p>Thin film copper-based RTD still has a low TCR. Hence, plating a Cu-based RTD with nickel will develop a higher TCR. TCR is the sensitivity of RTD’s value in response to temperature change. The experimental design in constructing Cu/Ni thin film by using the electroplating method with a concentration of solution and electrode spacing’s variation has been done. Electroplating is performed with a concentration of solution and electrode spacing’s variations<em>.</em> Electroplating processed by limiting DC voltage to 6 volts. Electrolyte solutions composition were NiSO4, Ni2Cl2, H3BO3 and aquades. Concentrations of solutions can be varied by changing NiSO4 and Ni2Cl2 masses. Based on these concentrations of solutes and electrode’s spacing, this research used 15 samples. Thickness, thin-film resistance, and temperature sensor test are performed to each sample. The purpose of thickness test is to measure nickel plates which were formed from the electroplating process. Thin-film resistance test performed to measure sample resistance changing to the electroplating process, and the temperature sensor test was performed to measures the sample’s sensitivity in responding to temperature changes. This research’s result shows the greater the concentrations of solutes used for copper electroplating, the thicker nickel plates will form. This condition makes its resistance’s value decreasing.</p><p><strong>Keywords:</strong> thin layer resistance, concentration of the solution, electrode distance, electroplating, thin layers of Cu / Ni, RTD, modules</p>

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