Velocimetry and response surface regression analysis of a swirling bed tested with mesh-coupled axial blade distributor

2020 ◽  
Vol 91 (4) ◽  
pp. 045106
Author(s):  
S. Shukrullah ◽  
M. A. Javed ◽  
M. Y. Naz ◽  
N. M. AbdEl-Salam ◽  
K. A. Ibrahim ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Response Surface ◽  
Response Surface Regression

Response surface regression analysis on FeCrBSi particle in-flight properties by plasma spray

2016 ◽  
Vol 11 (3) ◽  
pp. 250-257 ◽  
Author(s):  
Runbo Ma ◽  
Lihong Dong ◽  
Haidou Wang ◽  
Shuying Chen ◽  
Zhiguo Xing
Keyword(s):  
Regression Analysis ◽  
Response Surface ◽  
Plasma Spray ◽  
Response Surface Regression

scholarly journals Chinese Public Response to Occupational Safety and Health Problems—A Study Based on Psychological Distance

2019 ◽  
Vol 16 (11) ◽  
pp. 1944 ◽  
Author(s):  
Shanshan Li ◽  
Hong Chen ◽  
Xinru Huang ◽  
Congmei Hou ◽  
Feiyu Chen
Keyword(s):  
Regression Analysis ◽  
Response Surface ◽  
Occupational Safety ◽  
Psychological Distance ◽  
Health Problems ◽  
Occupational Safety And Health ◽  
Health Issues ◽  
The Public ◽  
Safety And Health ◽  
Response Surface Regression

Background: The effective governance of occupational safety and health problems is inseparable from public participation and response. Methods: Based on the perspective of psychological distance, this paper adopted a quadratic response surface regression analysis method to investigate cognitive, emotional, expected and behavioral distances to occupational safety and health topics and their corresponding responses. Results: As demonstrated by the data statistics and response surface regression analysis results for 2386 valid samples, the relatively close psychological distance dimensions of the public with regard to occupational safety and health problems indicated the high endogenous tendency of the public to pay attention to occupational safety and health problems. The consistency between public cognitive and emotional distance with regard to occupational safety and health presented a “progressive decrease” in response towards behavioral distance, whereas the consistency between cognitive and expected distance reflected “convex” changes towards behavioral distance. Finally, the consistency between emotional and expected distance generally presented a “progressive increase” response towards behavioral distance. Conclusions: This research provides information regarding the public awareness of and response to occupational safety and health issues and how to promote occupational safety and health issues in order to improve them.

Simultaneous analysis of some volatile compounds in food samples by array gas sensors based on polypyrrole nano-composites

Sensor Review ◽  
2017 ◽  
Vol 37 (2) ◽  
pp. 155-164 ◽  
Author(s):  
Sajad Pirsa ◽  
Fardin Mohammad Nejad
Keyword(s):  
Acetic Acid ◽  
Regression Analysis ◽  
Lactic Acid ◽  
Volatile Compounds ◽  
Response Surface ◽  
Sensor Arrays ◽  
Food Samples ◽  
Content Type ◽  
Nanocomposite Fibers ◽  
Response Surface Regression

Purpose The purpose of this paper is to construct an array of sensors using polypyrrole–zinc oxide (PPy–ZnO) and PPy–vanadium (V; chemical formula: V2O5) fibers. To test responses of sensors, a central composite design (CCD) has been used. The results of the CCD technique revealed that the developed sensors are orthogonally sensitive to diacetyl, lactic acid and acetic acid. In total, 20 different mixtures of diacetyl, lactic acid and acetic acid were prepared, and the responses of the array sensors were recorded for each mixture. Design/methodology/approach A response surface regression analysis has been used for correlating the responses of the sensors to diacetyl, lactic acid and acetic acid concentrations during the gas phase in food samples. The developed multivariate model was used for simultaneous determination of diacetyl, lactic acid and acetic acid concentrations. Some food samples with unknown concentrations of diacetyl, lactic acid and acetic acid were provided, and the responses of array sensors to each were recorded. Findings The responses of each sensor were considered as target response in a response optimizer, and by an overall composite desirability, the concentration of each analyte was predicted. The present work suggests the applicability of the response surface regression analysis as a modeling technique for correlating the responses of sensor arrays to concentration profiles of diacetyl, lactic acid and acetic acid in food samples. Originality/value The PPy–ZnO and PPy–V2O5 nanocomposite fibers were synthesized by chemical polymerization. The provided conducting fibers, PPy–ZnO and PPy–V2O5, were used in an array gas sensor system for the analysis of volatile compounds (diacetyl, lactic acid and acetic acid) added to yogurt and milk samples.

scholarly journals Optimizing Uniaxial Oil Extraction of Bulk Rapeseeds; Spectrophotometric and Chemical Analyses of the Extracted Oil under Pretreatment Temperatures and Heating Intervals

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1755
Author(s):  
Cimen Demirel ◽  
Abraham Kabutey ◽  
David Herák ◽  
Petr Hrabě ◽  
Čestmír Mizera ◽  
...  
Keyword(s):  
Response Surface ◽  
Acid Value ◽  
Statistical Technique ◽  
Deformation Energy ◽  
Oil Extraction ◽  
Heating Time ◽  
Optimization Parameters ◽  
Response Surface Regression ◽  
Processing Optimization ◽  
Experimental Runs

Optimizing the operating factors in edible oil extraction requires a statistical technique such as a response surface methodology for evaluating their effects on the responses. The examined input factors in this study were the diameter of pressing vessel, VD (60, 80, and 100 mm), temperature, TPR (40, 60, and 80 °C), and heating time, HTM (30, 60 and 90 min). The combination of these factors generated 17 experimental runs where the mass of oil, oil yield, oil extraction efficiency, and deformation energy were calculated. Based on the response surface regression analysis, the combination of the optimized factors was VD: 100 (+1) mm; TPR: 80 °C (+1) and HTM: 60 (0) min); VD: 60 (−1) mm; TPR: 80 °C (+1) and HTM: 75 (+0.5) min and VD: 100 (+1) mm; TPR: 80 °C (+1) and HTM: 90 (+1). The absorbance and transmittance values significantly (p < 0.05) correlated with the wavelength and temperature, but they did not correlate significantly (p > 0.05) with heating time. The peroxide value did not correlate significantly with temperature, however, it correlated significantly with heating time. Neither the acid value nor the free fatty acid value correlated with both temperature and heating time. The findings of the present study are part of our continuing research on oilseeds’ processing optimization parameters.

Nanoparticles enhanced laser ablation propulsion (NE-LAP) of Cu: A response surface regression approach

2020 ◽  
Vol 111 ◽  
pp. 103486
Author(s):  
Muhammad Qaiser Zakaria ◽  
Yasir Jamil ◽  
Ayesha Younus ◽  
Muhammad Shahid
Keyword(s):  
Laser Ablation ◽  
Response Surface ◽  
Regression Approach ◽  
Response Surface Regression
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