Modeling and Optimization of Creep Behavior of Ni-Based Superalloys GTD-111 and IN-738LC Using Central Composite Design

2019 ◽  
Vol 141 (4) ◽  
Author(s):  
O. Ganji ◽  
A. R. Shadman ◽  
S. A. Sajjadi
Keyword(s):  
Creep Rate ◽  
Central Composite Design ◽  
Temperature Stress ◽  
Creep Behavior ◽  
Numerical Results ◽  
Rupture Time ◽  
Modeling And Optimization ◽  
Effects Of Temperature ◽  
Main Effects ◽  
Central Composite

In this study, the effects of temperature, stress, and type of materials and their interactions on the creep rate and rupture time were investigated by using central composite design (CCD). An experimental plan for CCD with two numerical factors, one categorical factor, and two levels was used to optimize the required number of experiments. Temperatures of 800 and 900 °C and stresses of 250 and 450 MPa were selected as factors for GTD-111 and IN-738LC superalloys, respectively. Experimental and numerical results showed that the main effects of factors and their interactions are significant on the creep rate and rupture time. Among all factors, the effects of temperature and stress dominated other factors. Moreover, it was indicated that the combination between temperature and stress is much more effective on creep rate response than on rupture time. The high creep rate and the low rupture time values were obtained at the highest stress and temperature for IN-738LC. With the same experimental condition, creep rate values were the most and rupture time values were the least for IN-738LC in comparison with GTD-111.

Modeling and optimization of antibacterial activity of the chitosan-based hydrogel films using central composite design

2016 ◽  
Vol 104 (10) ◽  
pp. 2544-2553 ◽  
Author(s):  
Behnaz Lahooti ◽  
Mohammad Khorram ◽  
Gholamreza Karimi ◽  
Aliakbar Mohammadi ◽  
Amir Emami
Keyword(s):  
Antibacterial Activity ◽  
Central Composite Design ◽  
Modeling And Optimization ◽  
Central Composite ◽  
Hydrogel Films

How to Make Large Screen Displays Legible

1981 ◽  
Vol 25 (1) ◽  
pp. 149-153
Author(s):  
Donald A. Shurtleff ◽  
William F. Wuersch ◽  
James G. Rogers
Keyword(s):  
Central Composite Design ◽  
Contrast Ratio ◽  
Adaptation Level ◽  
Viewing Angle ◽  
Evaluation Tool ◽  
Large Screen ◽  
Visual Size ◽  
Main Effects ◽  
Central Composite

Four major display variables, luminance adaptation level, symbol contrast ratio, symbol visual size and off-axis viewing angle, were related, in a rotatable central composite design, to an observer's ability to identify symbols shown on a large screen display (LSD). The results show the nature and significance of all main effects as well as delineate the important interactions among these variables. The results can be used as an LSD design and evaluation tool permitting tradeoffs to be made among the important features of display equipment, projection screens and viewing facilities.

Modeling and optimization of catalytic dehydration of ethanol to ethylene using central composite design

2009 ◽  
Vol 15 (5) ◽  
pp. 366-370
Author(s):  
Haining Kong ◽  
Ershi Qi ◽  
Gang Li ◽  
Shuguang He ◽  
Xian Zhang
Keyword(s):  
Central Composite Design ◽  
Modeling And Optimization ◽  
Central Composite

scholarly journals MODELING AND OPTIMIZATION FOR PRODUCTION OF STAINLESS STEEL CORROSION INHIBITORS FORMULATED WITH 1,3-DIPHENYL-3-PHENYLSULFANYL-PROPAN-1-ONE: A CLEAN PROCESS CATALYSED BY FLUORAPATITE

2017 ◽  
Vol 19 (4) ◽  
Author(s):  
ABROUKI YOUNES ◽  
ANOUZLA ABDELKADER ◽  
LOUKILI HAYAT ◽  
LOTFI RABIAÂ ◽  
RAYADH AHMED ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Reaction Time ◽  
Central Composite Design ◽  
Corrosion Inhibitor ◽  
Corrosion Inhibitors ◽  
Steel Corrosion ◽  
Environmental Problems ◽  
Ease Of Use ◽  
Modeling And Optimization ◽  
Central Composite

The optimization for process production of stainless steel corrosion inhibitor formulated with 1.3-Diphenyl-3-phenylsulfanyl-propan-1-one was studied using a 2 block central composite design including 3 factors (weight of catalyst, reaction time, and quantity of solvent). This process catalyzed by Fluorapatite coupled with their ease of use and reduced environmental problems makes them attractive alternatives to homogeneous basic reagents.

scholarly journals Statistical Model for Describing Macronutrient Impacts on Container Substrate pH Over Time

HortScience ◽  
2014 ◽  
Vol 49 (2) ◽  
pp. 207-214 ◽  
Author(s):  
Jared Barnes ◽  
Paul Nelson ◽  
Brian E. Whipker ◽  
David A. Dickey ◽  
Dean Hesterberg ◽  
...  
Keyword(s):  
Calcium Carbonate ◽  
Statistical Model ◽  
Central Composite Design ◽  
Statistical Method ◽  
Factorial Experiment ◽  
Main Effects ◽  
Substrate Ph ◽  
Central Composite ◽  
Over Time ◽  
Multifactorial Experiment

Although many factors that influence substrate pH have been quantified, the effect from fertilizers continues to be elusive. A multifactorial experiment was conducted to test macronutrient effects using a rarely used statistical method known as the central composite design. Five nutrient factors, including nitrogen (N) carrier ratio (NH4+ vs. NO3–) and concentrations of phosphorus (P) (as H2PO4–), potassium (K), combined calcium (Ca) and magnesium (Mg), and sulfur (S), were varied at five levels each encompassing the proportionate range of these nutrients in commercial greenhouse fertilizers. Although a typical factorial experiment would have resulted in 55 = 3125 treatments, the central composite design reduced the number to 30 fertilizer treatments. An experiment was conducted twice in which ‘Evolution White’ mealy-cup sage (Salvia farinacea Benth.) was grown in 14-cm-diameter pots (1.29 L) in a 3 peat:1 perlite (v/v) substrate amended with non-residual powdered calcium carbonate to raise the substrate pH to ≈5.6 to 5.8. Harvests occurred after 3 and 6 weeks of growth. A statistical model described substrate pH over time with significant effects including four main effects of N carrier ratio, P, K, and combined Ca and Mg; three squared terms of N carrier ratio, P, and K; and seven interaction effects. The resulting model was used to calculate substrate pH levels between 25 and 45 days after planting, and it showed that N carrier had the greatest impact on substrate pH.

Sign in / Sign up

Export Citation Format

Share Document