RSM Optimization of Parameters influencing Mechanical properties in Selective Inhibition Sintering

Baligidad, Sagar M.; Chandrasekhar, U.; Elangovan, K.; Shankar, S.

doi:10.1016/j.matpr.2017.12.067

Cited by 17 publications

(4 citation statements)

References 3 publications

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“…The lack of fit was not statistically significant, with a p-value of 0.052. p-values less than 0.05 show that the terms are significant, while values higher than 0.1 show that the parameter is not significant. The terms are considered significant if they have a low p-value and a high F-value [31]. The difference between the adjusted R 2 value (0.9825) and the predicted R 2 value (0.9479) is less than 0.2, and both values are in agreement with each other.…”

Section: Rsm Of Congo Red Dyementioning

confidence: 82%

Multipollutant Abatement through Visible Photocatalytic System

et al. 2022

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Water pollution damages the aquatic environment due to the presence of organic contaminants, which in turn is distressing to the ecosystem. Photocatalytic activity is a greener and promising method to degrade these organic contaminants. In this research, we present the degradation of diverse water pollutants through zinc/iron oxide nanoparticles serving as photocatalysts. The photocatalyst was studied for its efficiency to photodegrade congo red, brilliant green and para nitro phenol. Moreover, it also presented an antibacterial activity against the bacterium E. coli. Photocatalyst was characterized via X-ray diffraction, scanning electron microscopy-energy dispersive X-ray spectroscopy, and fourier-transform infrared spectroscopy. Tauc plot was used to measure the optical band gap (1.84 eV). The effect of various parameters such as catalyst dose, contact time, dye dose/concentration and pH were also investigated to determine the optimum point of maximum degradation through response surface methodology. A face-centered composite design was used, and a quadratic model was followed by congo red, brilliant green dyes and para nitrophenol. The maximum photodegradation efficiencies were 99%, 94.3%, and 78.5% for congo red, brilliant green and phenol, respectively. Quantum yield for congo red, brilliant green and para-nitrophenol were 9.62 × 10−8, 1.17 × 10−7 and 4.11 × 10−7 molecules/photons, while the reaction rates were 27.1 µmolg−1h−1, 29.61 µmolg−1h−1 and 231 µmolg−1h−1, respectively.

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Section: Rsm Of Congo Red Dyementioning

confidence: 82%

Multipollutant Abatement through Visible Photocatalytic System

et al. 2022

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“…In statistical hypothesis testing, the significance level is typically set at 0.05 or below, meaning that results with a p-value greater than 0.05 are generally not considered statistically significant. In general, the smaller the p-value is, the more significant the results are, with a p-value of less than 0.05 indicating strong evidence against the null hypothesis [31,32]. It can be seen from the variance analysis of the regression model that the quadratic model has a certain significance, the p-value is 0.04, and the R-squared value is 85.91%, suggesting that this model has strong explanatory power.…”

Section: Y(fw Hm)mentioning

confidence: 96%

Impact of Pulse Parameters of a DC Power Generator on the Microstructural and Mechanical Properties of Sputtered AlN Film with In-Situ OES Data Analysis

et al. 2023

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In the present study, the sputtered aluminum nitride (AlN) films were processed in a reactive pulsed DC magnetron system. We applied a total of 15 different design of experiments (DOEs) on DC pulsed parameters (reverse voltage, pulse frequency, and duty cycle) with Box–Behnken experimental method and response surface method (RSM) to establish a mathematical model by experimental data for interpreting the relationship between independent and response variables. For the characterization of AlN films on the crystal quality, microstructure, thickness, and surface roughness, X-ray diffraction (XRD), atomic force microscopy (AFM), and field emission-scanning electron microscopy (FE-SEM) were utilized. AlN films have different microstructures and surface roughness under different pulse parameters. In addition, in-situ optical emission spectroscopy (OES) was employed to monitor the plasma in real-time, and its data were analyzed by principal component analysis (PCA) for dimensionality reduction and data preprocessing. Through the CatBoost modeling and analysis, we predicted results from XRD in full width at half maximum (FWHM) and SEM in grain size. This investigation identified the optimal pulse parameters for producing high-quality AlN films as a reverse voltage of 50 V, a pulse frequency of 250 kHz, and a duty cycle of 80.6061%. Additionally, a predictive CatBoost model for obtaining film FWHM and grain size was successfully trained.

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“…Although in general, the desirability function approach is used to optimize multi- variable response, in practical the statistical software provides a feature for single response variable. Such methodology has been successfully implemented in optimizing various processes, including mucilage extraction [17], solar air heating [18], inhibition sintering [19], densification process [13], as well as cyclone design and performance [10,11].…”

Section: B Procedures and Design Of Experimentsmentioning

confidence: 99%

Response Surface Methodology Approach to the Optimization of Cyclone Separator Geometry for Maximum Collection Efficiency

Yunardi

Fathanah

Munawar

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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A Response surface methodology coupled with a Box-Behnken design experiment has been utilized to optimize geometry parameters of a cyclone as a gas-solid separator in an effort to obtain a maximum particle collection efficiency. Independent variables being optimized include seven geometry parameters of inlet height (a/D), inlet width (b/D), vortex finder height (S/D), vortex finder diameter (D e /D), total cyclone height (H t /D), cylinder height (h/D), and cone tip diameter (B c /D). A number of 62 treatments were performed following Box-Behnken experimental design of seven factors and three levels (-1, 0 and +1). The response variable, the cyclone collection efficiency, was calculated in accordance with the Muschelknautz model using a spreadsheet software. The relationship between the response variable and independent variables was mathematically expressed according to a quadratic polynomial equation calculated with the aid of Design Expert software. The results of the research showed that among seven variables being investigated, there are only five cyclone geometry parameters which significantly affected the cyclone collection efficiency, including inlet height (a/D), inlet width (b/D), vortex finder height (S/D), vortex finder diameter (D e /D) and total cyclone height (H t /D). The optimization was then conducted to include these five variables that significantly affected the collection efficiency and neglected the remaining other two variables. The optimization computation was run in the Design Expert statistical software by setting a maximum possible value for the collection efficiency. The maximum collection efficiency of 91.244% was obtained when the independent variables of inlet height a/D=0.8, inlet width b/D=0.38, vortex finder height S/D=0.69, vortex finder diameter D e /D=0.575 and total cyclone height H t /D=3.12. Validation of this statistical finding was tested again and compared with the result of Muschelknautz model calculation to give a significantly small error of 0.82%.

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RSM Optimization of Parameters influencing Mechanical properties in Selective Inhibition Sintering

Cited by 17 publications

References 3 publications

Multipollutant Abatement through Visible Photocatalytic System

Multipollutant Abatement through Visible Photocatalytic System

Impact of Pulse Parameters of a DC Power Generator on the Microstructural and Mechanical Properties of Sputtered AlN Film with In-Situ OES Data Analysis

Response Surface Methodology Approach to the Optimization of Cyclone Separator Geometry for Maximum Collection Efficiency

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