scholarly journals PENENTUAN POLA KELELAHAN FISIK PADA PEROKOK AKTIF DENGAN MENGGUNAKAN METODE RESPONSE SURFACE METHODOLOGY (Studi Kasus: Mahasiswa PS. Teknik Industri UIN Sunan Kalijaga)

2016 ◽  
Vol 11 (2) ◽  
pp. 107
Author(s):  
Tutik Farihah
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Controlled Experiment ◽  
Minimum Surface ◽  
Heavy Workload ◽  
Mathematical Techniques ◽  
Pattern Functions

Penelitian ini bertujuan untuk mengidentifikasi pola kelelahan fisik pada perokok aktif baik di beban kerja ringan, menengah dan beban kerja yang berat dengan faktor suhu dan cahaya. Response Permukaan Metodologi ( RSM ) adalah kumpulan teknik statistik dan matematika yang berguna untuk evaluasi hubungan yang ada pada beberapa faktor kuantitatif terhadap variabel respon. Berdasarkan hasil pengolahan data pada beban kerja ringan dan beban kerja menengah memiliki fungsi pola pelana. Sedangkan pada beban kerja berat memiliki fungsi respon permukaan minimum. AbstractThis study aims to identify workload pattern in active smokers both in  light workload, medium and heavy workload with controlled faktor are temperature and light.Response Surface Metodology (RSM) is a collection of statistical and mathematical techniques useful for evaluation of relationship existing between some controlled experiment faktors and measured responses according to one or more selected criteria. Based on the results on light workload optimization functions have saddle pattern functions so it is with medium workload. While the heavy workload optimization functions are obtained based on the minimum surface.

Optimization of Surface Grinding Process Parameters for Minimum Surface Roughness in AISI 1080 Using Response Surface Methodology

2014 ◽  
Vol 984-985 ◽  
pp. 118-123 ◽  
Author(s):  
S. Periyasamy ◽  
M. Aravind ◽  
D. Vivek ◽  
K.S. Amirthagadeswaran
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Surface Grinding ◽  
Steel Plates ◽  
Medium Effect ◽  
Depth Of Cut ◽  
Design Expert ◽  
Minimum Surface

In this study, the response surface methodology was used to optimize the process parameters of constant speed horizontal spindle surface grinding. The experiments were conducted based on the design expert software. The surface roughness characteristics were investigated in AISI 1080 steel plates using A60V5V grinding wheels. The optimum parameters for minimum surface roughness were found using Design Expert software. The parameters for a particular surface roughness value can also be determined using the results of this experiment. This results shows that feed has a greater effect on surface roughness and feed has medium effect on surface roughness. While dressing depth of cut has a very minimal effect on surface roughness.

scholarly journals Response surface methodology for optimization studies of hydro-distillation of essential oil from pixie mandarin (Citrus reticulata Blanco) peels

2021 ◽  
Vol 23 (4) ◽  
pp. 26-34
Author(s):  
Tan Phat Dao ◽  
Ngo Thi Cam Quyen ◽  
Tran Thi Yen Nhi ◽  
Chi Cuong Nguyen ◽  
Trung Thanh Nguyen ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Essential Oil ◽  
Response Surface ◽  
Target Function ◽  
Extraction Process ◽  
Coefficient Of Determination ◽  
Gas Chromatography Mass Spectrometry ◽  
P Value ◽  
Alternative Source ◽  
Mathematical Techniques

Abstract Essential oil extraction technique from mandarin pixie peels by hydro-distillation is optimized by response surface methodology (RSM). Mathematical techniques were used in experimental design to evaluate the impacts of factors that affect the extraction process and improve the yield of the extraction process. A central mixed design based on influencing variables such as water ratio (3–5 mL/g), temperature (110–130 °C) and extraction time (90–150 min) was adopted with essential oil yield as the target function. Correlation analysis of the mathematical regression model showed that the quadratic polynomial model can be used to optimize hydro-distillation of pixie mandarin oil. The results showed that under the optimum extraction conditions, the highest quantity of essential oils was achieved (7.28 mL/100 g materials). In terms of statistical analysis, the significance levels (p-value <0.05) of the model showed that the experimental results had a good impact between factors. The coefficient of determination indicating the match between the experimental value and the predicted value of the model was high (R2>0.9). The chemical composition of the essential oil was analyzed by Gas Chromatography-Mass Spectrometry, revealing the dominance of limonene content (97.667%), which implies that the essential oil of pixie mandarin could be an alternative source of limonene.

Vertical wind speed extrapolation: Modelling using a response surface methodology (RSM) based on unconventional designs

2021 ◽  
pp. 0309524X2110463
Author(s):  
Feriel Adli ◽  
Nawel Cheggaga ◽  
Farouk Hannane ◽  
Leila Ouzeri
Keyword(s):  
Response Surface Methodology ◽  
Wind Speed ◽  
Response Surface ◽  
Vertical Wind ◽  
Industrial Processes ◽  
Wind Speed Profile ◽  
Wind Speeds ◽  
Vertical Wind Speed ◽  
Mathematical Techniques ◽  
Rsm Model

The main objective of this paper is to develop a predictive model of vertical wind speed profile. Response surface methodology (RSM) is used for this purpose. RSM is a set of statistical and mathematical techniques useful for the development, improvement and optimisation of processes. It is mainly used in industrial processes and is successfully applied in this paper to model the wind speed at the hub height of the wind turbine. An unconventional model is adopted due to the nature of the input parameters which cannot be controlled or modified. The model validation indicators, namely correlation coefficient ([Formula: see text]) and root mean square error (RMSE = 1.02), give excellent results when comparing predicted and measured wind speeds. For the same data, the RSM model gives a better RMSE compared to the conventional power law and the artificial neural network.

Optimization of chitosan-polyvinylalcohol electrospinning process by response surface methodology (RSM)

e-Polymers ◽  
2010 ◽  
Vol 10 (1) ◽  
Author(s):  
A. Gholipour ◽  
S. H. Bahrami ◽  
M. Nouri
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Fiber Diameter ◽  
Sem Analysis ◽  
Electrospinning Process ◽  
Morphological Properties ◽  
Blend Ratio ◽  
Extrusion Rate ◽  
Mathematical Techniques ◽  
Good Agreement

AbstractResponse Surface Methodology (RSM) is a collection of statistical and mathematical techniques useful for developing, improving, and optimizing processes. RSM was used to model and optimize the electrospinning parameters for the spinning of blend CS/PVA nanofibers. In this study, chitosan (CS)/polyvinyl alcohol (PVA) blend solutions (CS (Mw =1 X 106) in 2% acetic acid and PVA (Mw=12 X 103) in deionized water) with different blend ratio ranging from 10/90 to 50/50 were electrospun. CS/PVA (25/75) blend ratio was chosen as base and optimum ratio due to its suitable morphological properties and diameter. In a constant ratio of blend SEM analysis shows that the diameter of nanofibers changed by varying the voltage and extrusion rate in the electrospinning process. Voltage (10-25 KV) and polymer solutions extrusion rate of (0.2-1 ml/hr) from the nozzle were chosen as variables to control the fiber diameter at similar spinning distances (10 cm). Fiber diameter was correlated to production variables by using a second order polynomial function. The predicted fiber diameters were in good agreement with the experimental results.

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