Modeling the effective thermal conductivity of nanofluids using full factorial design analysis

2019 ◽  
Vol 48 (7) ◽  
pp. 2930-2947
Author(s):  
Wassila Grine ◽  
Mohamed E. H. Benhamza
Keyword(s):  
Thermal Conductivity ◽  
Factorial Design ◽  
Effective Thermal Conductivity ◽  
Design Analysis ◽  
Full Factorial Design ◽  
Factorial Design Analysis ◽  
Full Factorial

A factorial design analysis of chitin production by Cunninghamella elegans

2000 ◽  
Vol 46 (11) ◽  
pp. 1042-1045 ◽  
Author(s):  
V S Andrade ◽  
B B Neto ◽  
W Souza ◽  
G M Campos-Takaki
Keyword(s):  
Nmr Spectroscopy ◽  
Factorial Design ◽  
Culture Medium ◽  
Design Analysis ◽  
Full Factorial Design ◽  
Cunninghamella Elegans ◽  
Positive Effects ◽  
Factorial Design Analysis ◽  
Full Factorial

Chitin production by Cunninghamella elegans (IFM 46109) was studied with a two-level full factorial design, varying time of cultivation and the concentration of D-glucose, L-asparagine, and thiamine in the culture medium. The material extracted was characterized by infrared and NMR spectroscopy. The highest chitin yield, 28.8%, was comparable with the highest in the literature and was obtained with a medium containing 60 g·L-1 of glucose, 3 g·L-1 of asparagine, and 0.008 mg·L-1 of thiamine. Increasing the time of cultivation from 24 h to 72 h did not affect chitin production. The three factors showed significant positive effects on chitin production, without interactions between them.Key words: chitin, chitosan, zygomycetes, Cunninghamella elegans.

scholarly journals Effect of Temperature, Precursor Type and Dripping Time on the Crystallite Size of Nano ZnO Obtained by One-Pot Synthesis: 2k Full Factorial Design Analysis

2018 ◽  
Vol 18 (6) ◽  
pp. 4409-4412 ◽  
Author(s):  
Morgana de Medeiros Machado ◽  
Bruna Martinello Savi ◽  
Mariana Borges Perucchi ◽  
Alessandro Benedetti ◽  
Luis Felipe Silva Oliveira ◽  
...  
Keyword(s):  
Factorial Design ◽  
Crystallite Size ◽  
Design Analysis ◽  
Full Factorial Design ◽  
Effect Of Temperature ◽  
One Pot ◽  
Nano Zno ◽  
One Pot Synthesis ◽  
Factorial Design Analysis ◽  
Full Factorial

scholarly journals Full factorial design analysis of carbon nanotube polymer-cement composites

2012 ◽  
Vol 15 (4) ◽  
pp. 573-580 ◽  
Author(s):  
Fábio de Paiva Cota ◽  
Túlio Hallak Panzera ◽  
Marco Antônio Schiavon ◽  
André Luís Christoforo ◽  
Paulo Henrique Ribeiro Borges ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Factorial Design ◽  
Design Analysis ◽  
Full Factorial Design ◽  
Cement Composites ◽  
Factorial Design Analysis ◽  
Full Factorial

Full Factorial Design Analysis on Mechanical Properties of Electron Beam Irradiated-Flame Retarded LDPE/EVA Composites

2015 ◽  
Vol 786 ◽  
pp. 58-62
Author(s):  
Tiam Ting Tee ◽  
Soo Tueen Bee ◽  
Azman Hassan ◽  
Chantara Thevy Ratnam ◽  
Tin Sin Lee ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Factorial Design ◽  
Design Analysis ◽  
Full Factorial Design ◽  
Elongation At Break ◽  
Flame Retarded ◽  
Irradiation Dosage ◽  
Factorial Design Analysis ◽  
Full Factorial

This study aims to investigate the effect of three factors, namely alumina trihydrate (ATH), montmorillonite (MMT) and irradiation dosage on the mechanical properties (tensile strength and elongation at break) of flame-retarded LDPE-EVA composites. In this study, full factorial design analysis was used to examine the effects of factors and their combination interactions on mechanical properties. ATH is the most significant factor in affecting the tensile strength of LDPE-EVA blends due to the poor compatibility effect between ATH particles and LDPE-EVA matrix. However, MMT is the least significant factor on tensile strength of LDPE-EVA composites. ATH was the most significant in affecting the elongation at break of LDPE-EVA blends. This is because the increasing of ATH amount in LDPE-EVA matrix could restrict the mobolity of polymer chains in LDPE-EVA matrix. However, the factor of irradiation dosage was found to be insignificant in affecting the elongation at break of LDPE-EVA blends.

Investigation of Thermal Conductivity and Viscosity of Al2O3/Water Nanofluids Using Full Factorial Design and Utility Concept

NANO ◽  
2016 ◽  
Vol 11 (08) ◽  
pp. 1650093 ◽  
Author(s):  
Deepak Khurana ◽  
Rajesh Choudhary ◽  
Sudhakar Subudhi
Keyword(s):  
Thermal Conductivity ◽  
Factorial Design ◽  
Particle Concentration ◽  
Heat Transfer Performance ◽  
Particle Diameter ◽  
Full Factorial Design ◽  
Utility Concept ◽  
Low Viscosity ◽  
Design Variables ◽  
Full Factorial

In the present study, the effect of particle concentration, particle diameter and temperature on the thermal conductivity and viscosity of Al2O3/water nanofluids was investigated experimentally using design of experiment approach (full factorial design). Variables were selected at two levels each: particle concentration (0.1–1%), particle diameter (20–40[Formula: see text]nm) and temperature (10–40[Formula: see text]C). It was observed that the thermal conductivity of the Al2O3/water nanofluids increases with increasing concentration and temperature and decreases with increase in particle diameter, while viscosity increases with increasing particle diameter. Results showed that the interaction effect of concentration and temperature also has significant effect on the thermal conductivity of Al2O3/water nanofluids. For viscosity, the interaction of particle diameter and temperature was important. Utility concept was used to optimize the properties collectively for better heat transfer performance. The optimal combination for high thermal conductivity and low viscosity was obtained at higher level of particle concentration (1%), lower level of particle diameter (20[Formula: see text]nm) and higher level of temperature (40[Formula: see text]C). At this condition the increment in thermal conductivity and viscosity compared to base fluid was 11.51% and 6.37%, respectively.

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