scholarly journals Improving the workability and rheological properties of Engineered Cementitious Composites using factorial experimental design

2013 ◽  
Vol 45 (1) ◽  
pp. 356-368 ◽  
Author(s):  
Mustafa Şahmaran ◽  
Zafer Bilici ◽  
Erdogan Ozbay ◽  
Tahir K. Erdem ◽  
Hasan E. Yucel ◽  
...  
2022 ◽  
Vol 18 ◽  
Author(s):  
Danusa Silva da Costa ◽  
Katiuchia Pereira Takeuchi ◽  
Richard Marins da Silva ◽  
Mariana Buranelo Egea ◽  
Geovana Rocha Plácido

Background: Buriti (Mauritia flexuosa) oil has high economic potential because it contains monounsaturated and polyunsaturated fatty acids with high antioxidant potential and high carotenoid content, making it an excellent source of pro-vitamin A. Objective: The objective of this work was to evaluate the rheological properties of filmogenic solutions incorporated with different buriti oil concentrations. Methods: Buriti oil (0.15 to 0.45 % w/v) and emulsifier (Tween®20) (0.02 to 0.04 % w/v) were combined using a factorial experimental design 22 with 3 central points for the preparation of filmogenic solutions with cassava starch (3%, w/v) and glycerol (0.06%, w/v). Rheological properties, static and centrifugation emulsion stabilities, and pH value of filmogenic solutions were evaluated. Results: Filmogenic solutions with lower emulsifier concentration showed increased flow resistance and non-Newtonian and pseudoplastic behavior (n<1). Central point formulation (E, F, and G) remained stable (no particle agglomeration) throughout the test period as well as pH value close to neutrality. In centrifugation stability index at 3500 rpm, only formulation C did not show phase separation. Conclusion: It was possible to develop a mixture of a filmogenic solution containing buriti oil that could be applied as an eco-friendly coating in food.


2018 ◽  
Vol 41 ◽  
Author(s):  
Wei Ji Ma

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.


Author(s):  
Shuaiyu Wang ◽  
Hongxiu Du ◽  
Jingjing Lv ◽  
Jun Guo ◽  
Guoyang Yue ◽  
...  

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