scholarly journals Studying Factors Affecting Fusion Pool Geometry of Micro Plasma Arc which Remelts Austenitic Stainless Steel Sheets (AISI 316L) by Using Response Surface Method

2018 ◽  
Vol 67 (6) ◽  
pp. 646-652
Author(s):  
Mohsen ALI ◽  
Ahma ALMALEH ◽  
Ahmed RASSIS
Keyword(s):  
Stainless Steel ◽  
Austenitic Stainless Steel ◽  
Response Surface ◽  
Response Surface Method ◽  
Plasma Arc ◽  
Aisi 316L ◽  
Factors Affecting ◽  
Steel Sheets ◽  
Surface Method

Optimizing Pulsed Current Micro Plasma Arc Welding Parameters to Maximize Ultimate Tensile Strength of AISI 304L Sheets Using Response Surface Method

2014 ◽  
Vol 660 ◽  
pp. 322-326
Author(s):  
Kondapalli Siva Prasad ◽  
Chalamalasetti Srinivasa Rao ◽  
Damera Nageswara Rao
Keyword(s):  
Mathematical Model ◽  
Tensile Strength ◽  
Ultimate Tensile Strength ◽  
Response Surface ◽  
Response Surface Method ◽  
Welding Parameters ◽  
Pulsed Current ◽  
Plasma Arc ◽  
Aisi 304L ◽  
Surface Method

AISI 304L is an austenitic Chromium-Nickel stainless steel offering the optimum combination of corrosion resistance, strength and ductility. These attributes make it a favorite for many mechanical components. The paper focuses on developing mathematical model to predict ultimate tensile strength of pulsed current micro plasma arc welded AISI 304L joints. Four factors, five level, central composite rotatable design matrix is used to optimize the number of experiments. The mathematical model has been developed by response surface method. The adequacy of the model is checked by ANOVA technique. By using the developed mathematical model, ultimate tensile strength of the joints can be predicted with 99% confidence level. Contour plots are drawn to study the interaction effect of pulsed current micro plasma arc welding parameters ultimate tensile strength of AISI 304L steel. The developed mathematical model has been optimized using Response Surface Method to maximize the ultimate tensile strength.

scholarly journals Optimization of the bioactive compounds content in raspberry during freeze-drying using response surface method

2015 ◽  
Vol 21 (1-1) ◽  
pp. 53-61 ◽  
Author(s):  
Vesna Tumbas-Saponjac ◽  
Gordana Cetkovic ◽  
Sladjana Stajcic ◽  
Jelena Vulic ◽  
Jasna Canadanovic-Brunet ◽  
...  
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Bioactive Compounds ◽  
Freeze Drying ◽  
Optimal Conditions ◽  
Total Anthocyanin ◽  
Factors Affecting ◽  
Surface Method ◽  
Freeze Dried ◽  
Experimental Values

The production of high-quality freeze-dried raspberry was studied by response surface method. Two independent variables, temperature (X1) and time (X2) were determined as the most important factors affecting the final product quality estimated by the responses: total phenol (Y1), total anthocyanin (Y2), vitamin C (Y3) and total bioactive compounds (Y4) content. A two-factor central composite design was used for freeze-drying experiments. The second order polynomial models obtained were found to be significant (p<0.05) for all responses. The statistical analysis of experimental data indicated that only quadratic time variable (X22) had significant (p<0.05) effect on all responses. The optimal conditions for all responses combined were found to be: -31 ?C and 35 h. The experimental values of all responses obtained under optimal conditions were in good agreement with predicted values which enables the use of the proposed mathematical models for optimization of investigated process.

scholarly journals Study on Key Factors of Adsorption of Phosphorus by Steel Slag Filter Based on Response Surface Method

2018 ◽  
Vol 53 ◽  
pp. 03050 ◽  
Author(s):  
Jiabin Wang ◽  
Xiaoyu Wang ◽  
Liping Qiu ◽  
Tianhang Li ◽  
Cong Yu
Keyword(s):  
Reaction Time ◽  
Response Surface ◽  
Response Surface Method ◽  
Phosphorus Removal ◽  
Steel Slag ◽  
Molar Ratio ◽  
Factors Affecting ◽  
Surface Method ◽  
Initial Ph ◽  
Calcium Phosphorus

Excessive phosphorus emission is one of the important reasons for the eutrophication of water. At the same time, phosphorus is a significant mineral resource. In this paper, the response surface method is used to study the key influencing factors of phosphorus removal by steel slag filter and its action. Four factors affecting the dosage, initial pH, reaction time and calcium-phosphorus molar ratio were selected. The phosphorus removal was used as the response value. The interaction between various factors was established by Box-Behnken response surface analysis. The optimal conditions were determined by equation regression analysis: dosage = 2 cm3; initial pH = 7; molar ratio of calcium to phosphorus was 2:1; reaction time = 2 h.

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