Optimization of Oleyl Ester using Statistical Approach of Response Surface Methodology

One mechanism of bit failure in geothermal drilling is thought to be directly related to the overheating of the bearings. High temperatures alter the microstructure of the bearing material and reduce its wear resistance. This paper presents a laboratory study on bit bearing temperatures in rotary drilling using a two-roller cone micro-bit drill rig and a statistical approach referred as response surface methodology. The effects of the drilling variables on bearing temperatures were investigated. The range of bearing temperatures for the test conditions under study was determined. A second-order bearing temperature predicting equation is presented.

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A hybrid statistical approach for modeling and optimization of RON: A comparative study and combined application of response surface methodology (RSM) and artificial neural network (ANN) based on design of experiment (DOE)

Chemical Engineering Research and Design ◽

10.1016/j.cherd.2016.05.023 ◽

2016 ◽

Vol 113 ◽

pp. 264-272 ◽

Cited By ~ 21

Author(s):

F.M. Elfghi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Response Surface Methodology ◽

Comparative Study ◽

Response Surface ◽

Design Of Experiment ◽

Statistical Approach ◽

Modeling And Optimization ◽

Combined Application ◽

Artificial Neural Network Ann

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Effective clay material enriched with thiol groups for Zn(II) removal from aqueous media: A statistical approach based on response surface methodology

MANAS Journal of Engineering ◽

10.51354/mjen.800161 ◽

2020 ◽

Vol 8 (2) ◽

pp. 125-131

Author(s):

Ümit ECER ◽

Şakir YILMAZ ◽

Tekin ŞAHAN

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Statistical Approach ◽

Aqueous Media ◽

Clay Material ◽

Thiol Groups

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Determination of optimum insulation and cement plaster thickness for bungalow buildings through a simulation-statistical approach using response surface methodology

Journal of Design and Built Environment ◽

10.22452/jdbe.vol19no2.4 ◽

2019 ◽

Vol 19 (2) ◽

pp. 48-63

Author(s):

Iman Asadi ◽

Payam Shafigh ◽

Norhayati Mahyuddin ◽

Hossein Akbari

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Statistical Approach

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Establishing empirical relationships and process parameter optimization of tungsten inert gas welded butt joints of nickel-based alloy using statistical approach of regression analysis and response surface methodology

Australian Journal of Mechanical Engineering ◽

10.1080/14484846.2021.2022579 ◽

2022 ◽

pp. 1-20

Author(s):

Tushar Sonar ◽

Visvalingam Balasubramanian ◽

Sudersanan Malarvizhi ◽

Thiruvenkatam Venkateswaran ◽

Dhenuvakonda Sivakumar

Keyword(s):

Response Surface Methodology ◽

Regression Analysis ◽

Response Surface ◽

Parameter Optimization ◽

Statistical Approach ◽

Process Parameter ◽

Inert Gas ◽

Butt Joints ◽

Empirical Relationships ◽

Nickel Based Alloy

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Response Surface Methodology for the Optimization of α-Amylase Production by Bacillus subtilis ZJF-1A5

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.236-238.2323 ◽

2011 ◽

Vol 236-238 ◽

pp. 2323-2326 ◽

Cited By ~ 1

Author(s):

Jun Liang Sun ◽

Xin Hong Liang ◽

Jie Zeng ◽

Guang Lei Li ◽

Jun Liang Sun

Keyword(s):

Response Surface Methodology ◽

Bacillus Subtilis ◽

Response Surface ◽

Process Parameters ◽

Submerged Fermentation ◽

Enzyme Production ◽

Statistical Approach ◽

Alpha Amylase ◽

Positive Interaction ◽

Amylase Production

The aim of this work was to optimize the process parameters through the statistical approach for the production of alpha amylase by Bacillus subtilis ZJF-1A5 in submerged fermentation (SMF). The process parameters influencing the enzyme production were identified by using response surface methodology. Among the variables screened, the temperature and time were most significant and showed a positive interaction. The optimum levels were: temperature 35.8 °C, pH 5.03 and time 54h and under these conditions α-amylase yield was up to 191.15 U/mL.

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