The parameters optimization of liquefied gas extraction of the yellow bedstraw overground part by the response surface methodology

А. V. Proskochilo; V. G. Demianenko; D. V. Demianenko

doi:10.24959/nphj.14.1972

The parameters optimization of liquefied gas extraction of the yellow bedstraw overground part by the response surface methodology

Vìsnik farmacìï ◽

10.24959/nphj.14.1972 ◽

2014 ◽

Vol 0 (3(79)) ◽

pp. 10-15

Author(s):

А. V. Proskochilo ◽

V. G. Demianenko ◽

D. V. Demianenko

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Parameters Optimization ◽

Gas Extraction ◽

Overground Part ◽

Liquefied Gas

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Mathematical Modeling and Process Parameters Optimization for Surface Roughness in Edm for En31 Material by Response Surface Methodology

Indian Journal Of Applied Research ◽

10.15373/2249555x/oct2013/50 ◽

2011 ◽

Vol 3 (10) ◽

pp. 1-3

Author(s):

P.B.Wagh P.B.Wagh ◽

◽

Dr. R.R.Deshmukh Dr. R.R.Deshmukh ◽

R.D.Gurav R.D.Gurav

Keyword(s):

Mathematical Modeling ◽

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Process Parameters ◽

Parameters Optimization ◽

Process Parameters Optimization

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A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM

BMC Biotechnology ◽

10.1186/1472-6750-8-96 ◽

2008 ◽

Vol 8 (1) ◽

pp. 96 ◽

Cited By ~ 66

Author(s):

Afshin Ebrahimpour ◽

Raja Rahman ◽

Diana Ean Ch'ng ◽

Mahiran Basri ◽

Abu Salleh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Lipase Production ◽

Parameters Optimization ◽

Thermostable Lipase ◽

Artificial Neural ◽

Culture Parameters ◽

Modeling Study

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Milling Parameters Optimization of Al-Li Alloy Thin-Wall Workpieces Using Response Surface Methodology and Particle Swarm Optimization

Computer Modeling in Engineering & Sciences ◽

10.32604/cmes.2020.010565 ◽

2020 ◽

Vol 124 (3) ◽

pp. 937-952

Author(s):

Haitao Yue ◽

Chenguang Guo ◽

Qiang Li ◽

Lijuan Zhao ◽

Guangbo Hao

Keyword(s):

Response Surface Methodology ◽

Particle Swarm Optimization ◽

Response Surface ◽

Particle Swarm ◽

Parameters Optimization ◽

Thin Wall ◽

Swarm Optimization ◽

Milling Parameters

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Mathematical modeling and FDM process parameters optimization using response surface methodology based on Q-optimal design

Applied Mathematical Modelling ◽

10.1016/j.apm.2016.06.055 ◽

2016 ◽

Vol 40 (23-24) ◽

pp. 10052-10073 ◽

Cited By ~ 54

Author(s):

Omar Ahmed Mohamed ◽

Syed Hasan Masood ◽

Jahar Lal Bhowmik

Keyword(s):

Mathematical Modeling ◽

Response Surface Methodology ◽

Optimal Design ◽

Response Surface ◽

Process Parameters ◽

Parameters Optimization ◽

Process Parameters Optimization

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Chromium(VI) removal by bone char–ZnO composite: Parameters optimization by response surface methodology and modeling

Environmental Progress & Sustainable Energy ◽

10.1002/ep.12854 ◽

2018 ◽

Vol 37 (5) ◽

pp. 1684-1695 ◽

Cited By ~ 4

Author(s):

Neda Ranjbar ◽

Seyedenayat Hashemi ◽

Bahman Ramavandi ◽

Masomeh Ravanipour

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Parameters Optimization ◽

Bone Char ◽

Chromium Vi

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Process Parameters Optimization of Polystyrene Powder Selective Laser Sintering Based on Response Surface Methodology

Chinese Journal of Lasers ◽

10.3788/cjl201946.0302015 ◽

2019 ◽

Vol 46 (3) ◽

pp. 0302015

Author(s):

鄢然 Yan Ran ◽

李浩 Li Hao ◽

李军超 Li Junchao ◽

朱丽 Zhu Li

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Process Parameters ◽

Selective Laser Sintering ◽

Laser Sintering ◽

Parameters Optimization ◽

Process Parameters Optimization

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Application of synthesized Fe/Al/Ca based adsorbent for defluoridation of drinking Water and its significant parameters optimization using response surface methodology

Journal of Environmental Chemical Engineering ◽

10.1016/j.jece.2019.103465 ◽

2019 ◽

Vol 7 (6) ◽

pp. 103465 ◽

Cited By ~ 2

Author(s):

Yogendra Singh Solanki ◽

Madhu Agarwal ◽

Sanjeev Gupta ◽

Pushkar Shukla ◽

Karishma Maheshwari ◽

...

Keyword(s):

Response Surface Methodology ◽

Drinking Water ◽

Response Surface ◽

Parameters Optimization

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Machining Parameters Optimization of Titanium Alloy using Response Surface Methodology and Particle Swarm Optimization under Minimum-Quantity Lubrication Environment

Materials and Manufacturing Processes ◽

10.1080/10426914.2015.1117632 ◽

2015 ◽

Vol 31 (13) ◽

pp. 1671-1682 ◽

Cited By ~ 82

Author(s):

Munish Kumar Gupta ◽

P. K. Sood ◽

Vishal S. Sharma

Keyword(s):

Response Surface Methodology ◽

Titanium Alloy ◽

Particle Swarm Optimization ◽

Response Surface ◽

Minimum Quantity Lubrication ◽

Parameters Optimization ◽

Machining Parameters ◽

Swarm Optimization ◽

Minimum Quantity ◽

Machining Parameters Optimization

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Synthesis of magMCM-41 with rice husk silica as cadmium sorbent from aqueous solutions: parameters’ optimization by response surface methodology

Environmental Technology ◽

10.1080/09593330.2016.1237557 ◽

2016 ◽

Vol 38 (12) ◽

pp. 1562-1579 ◽

Cited By ~ 12

Author(s):

Soran Kamari ◽

Farshid Ghorbani

Keyword(s):

Response Surface Methodology ◽

Aqueous Solutions ◽

Response Surface ◽

Rice Husk ◽

Parameters Optimization ◽

Rice Husk Silica

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SURFACE ROUGHNESS PARAMETERS OPTIMIZATION IN MACHINING A356/SiC/20pMETAL MATRIX COMPOSITES BY PCD TOOL USING RESPONSE SURFACE METHODOLOGY AND DESIRABILITY FUNCTION

Machining Science and Technology ◽

10.1080/10910340802518850 ◽

2008 ◽

Vol 12 (4) ◽

pp. 529-545 ◽

Cited By ~ 47

Author(s):

K. Palanikumar ◽

N. Muthukrishnan ◽

K. S. Hariprasad

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Desirability Function ◽

Parameters Optimization ◽

Matrix Composites ◽

Roughness Parameters ◽

Surface Roughness Parameters ◽

Pcd Tool

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