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Online since: March 2007
Authors: Takeshi Fujita, Yoshihiro Hosoya, Toshiaki Urabe, Fusato Kitano, Yuji Yamasaki
Ti : C+N=12
Al-killed
Steel
Rimmed
Steel
Ti : C+N=6
1.0
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
2.8
3.0
Steel B
Mean r- value
Steel A
Large Small
Grain size
Occurrence of
Orange Peel
4 5 6 7 8 9 10 11 12
ASTM Grain Size No.
Ti : C+N=12 Al-killed Steel Rimmed Steel Ti : C+N=6 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 Steel B Mean r- value Steel A Large Small Grain size Occurrence of Orange Peel Fig.5 Correlation between ASTM grain size numbers and mean r-values of cold-rolled steel sheets.
YS TS El (MPa) (MPa) (%) 285 442 35.0 1.70 445 35.0 1.50 Steel Mean �-value Developed Conventional 300 YS TS El (MPa) (MPa) (%) 285 442 35.0 1.70 445 35.0 1.50 Steel Mean �-value Developed Conventional 300 � � � � Wrinkle Fracture Formable 160 170 180 190 200 Steel Blank holder force ( 9.8kN) Developed Conventional Wrinkle Fracture Fig.9 Front fender model to evaluate press-formability and press-formability in the developed and the conventional 440MPa galvannealed IF-HSS.
Ti : C+N=12 Al-killed Steel Rimmed Steel Ti : C+N=6 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 2.8 3.0 Steel B Mean r- value Steel A Large Small Grain size Occurrence of Orange Peel Fig.5 Correlation between ASTM grain size numbers and mean r-values of cold-rolled steel sheets.
YS TS El (MPa) (MPa) (%) 285 442 35.0 1.70 445 35.0 1.50 Steel Mean �-value Developed Conventional 300 YS TS El (MPa) (MPa) (%) 285 442 35.0 1.70 445 35.0 1.50 Steel Mean �-value Developed Conventional 300 � � � � Wrinkle Fracture Formable 160 170 180 190 200 Steel Blank holder force ( 9.8kN) Developed Conventional Wrinkle Fracture Fig.9 Front fender model to evaluate press-formability and press-formability in the developed and the conventional 440MPa galvannealed IF-HSS.
Online since: February 2021
Authors: Luis Arturo Ibarra-Juárez, Guadalupe Hernández-Cervantes, Siuly Xenia Ramos Cruz, Mónica Vázquez, Irving David Pérez-Landa, Israel Bonilla-Landa, José Luis Olivares-Romero, Felipe Barrera-Méndez
Nanoencapsulation of Permethrin in Polylactic Acid to Enhance Insecticide Persistence for Scolytinae Pest Control
Felipe Barrera-Méndez1,2,a*, Luis Arturo Ibarra-Juarez 1,2,b,
Guadalupe Hernández-Cervantes1,c, Siuly Xenia Ramos Cruz 3,d,
Mónica Ramírez Vázquez1,e, Irving David Pérez-Landa1,f,
Israel Bonilla-Landa1,g, and José Luis Olivares-Romero 1,h
1Red de Estudios Moleculares Avanzados, Instituto de Ecología AC, Xalapa, Veracruz, México
2Cátedra CONACYT en el Instituto de Ecología AC, Xalapa, Veracruz, México.
3Instituto Tecnológico Superior de Coatzacoalcos
afelipe.barrera@inecol.mx, bluis.ibarra@inecol.mx, cghc2209@gmail.com, dsiuly_cruz@hotmail.com, emonica.ramirez@inecol.mx, fdavid.perez@posgrado.ecologia.edu.mx, gisrael.bonilla@inecol.mx, hjose.olivares@inecol.mx
Keywords: Nanoencapsulation; Permethrin; Insecticide; Scolytinae; PLA.
Females were inoculated in an artificial media prepared according to the methodology of Menocal et al., [27] (AM1 or SM1), using the same ingredients but having Mexican Sycamore (Platanus mexicana) sawdust as a base.
The data obtained agreed with those reported in the literature by Tolstikov et al. [28]. 1H NMR (500 MHz, CDCl3) δ 7.14 – 7.10 (m, 6H) 7.09 – 7.06 (m, 4 H), 6.97 – 6.96 (m, 5H), 6.95 – 96.94 (m, 2H), 6.26* (d, J = 9 Hz, 1H), 5.59 (d, J = 8.5 Hz, 1H), 5.09 (AB system, J = 2.5 Hz), 5.05* (AB system, J = 4 Hz), 2.26 – 2.24* (m, 1H), 2.04* (dd, J = 9 Hz, 1H), 1.87 (d, J = 8.5 Hz, 1H), 1.65 (d, J = 5.5 Hz, 1H), 1.27 (s, 3H), 1.24* (s, 3H), 1.23* (s, 3H), 1.18 (s, 3H). 13C NMR (125 MHz, CDCl3) δ 170.8, 170.2*, 157.54, 156.8*, 138.0, 137.9*, 129.9*, 130.0, 126.8, 124.7*, 123.4*, 122.6, 122.7, 120.0, 119.0, 118.4*, 118.2, 66.0, 65.7*, 34.6, 33.0, 32.6*, 31.7*, 29.1, 28.3, 27.6*, 22.5, 20.0*, 14.9*.
This, in addition to the removal of toxic organic solvents in the formulation, would have a positive impact when using broad-spectrum insecticides applied to agriculture. 5-Acknowledgements Thanks are given for the funding received through Grant 292399 by FORDECyT (Fondo Institucional de Fomento Regional para el Desarrollo Científico, Tecnológico y de Innovación) of CONACyT (Consejo Nacional de Ciencia y Tecnología).
Females were inoculated in an artificial media prepared according to the methodology of Menocal et al., [27] (AM1 or SM1), using the same ingredients but having Mexican Sycamore (Platanus mexicana) sawdust as a base.
The data obtained agreed with those reported in the literature by Tolstikov et al. [28]. 1H NMR (500 MHz, CDCl3) δ 7.14 – 7.10 (m, 6H) 7.09 – 7.06 (m, 4 H), 6.97 – 6.96 (m, 5H), 6.95 – 96.94 (m, 2H), 6.26* (d, J = 9 Hz, 1H), 5.59 (d, J = 8.5 Hz, 1H), 5.09 (AB system, J = 2.5 Hz), 5.05* (AB system, J = 4 Hz), 2.26 – 2.24* (m, 1H), 2.04* (dd, J = 9 Hz, 1H), 1.87 (d, J = 8.5 Hz, 1H), 1.65 (d, J = 5.5 Hz, 1H), 1.27 (s, 3H), 1.24* (s, 3H), 1.23* (s, 3H), 1.18 (s, 3H). 13C NMR (125 MHz, CDCl3) δ 170.8, 170.2*, 157.54, 156.8*, 138.0, 137.9*, 129.9*, 130.0, 126.8, 124.7*, 123.4*, 122.6, 122.7, 120.0, 119.0, 118.4*, 118.2, 66.0, 65.7*, 34.6, 33.0, 32.6*, 31.7*, 29.1, 28.3, 27.6*, 22.5, 20.0*, 14.9*.
This, in addition to the removal of toxic organic solvents in the formulation, would have a positive impact when using broad-spectrum insecticides applied to agriculture. 5-Acknowledgements Thanks are given for the funding received through Grant 292399 by FORDECyT (Fondo Institucional de Fomento Regional para el Desarrollo Científico, Tecnológico y de Innovación) of CONACyT (Consejo Nacional de Ciencia y Tecnología).
Online since: October 2012
Authors: A.J. Ruys, N. Ehsani, C.C. Sorrell
Hot Isostatic Pressing
Before HIPing, the decomposition temperatures of the HAp-additive samples were determined (at the maximum fibre addition level) using the methods outlined by Ruys et al [17].
Densification and Decomposition Behaviour After HIPing, the decomposition effects (%HAp yield) and bulk density of the samples were measured according to the methods described by Ruys et al [44].
Awaad, H.F El-Maghraby, W.H Eisa, M.
Abou el Ezz, F.
Densification and Decomposition Behaviour After HIPing, the decomposition effects (%HAp yield) and bulk density of the samples were measured according to the methods described by Ruys et al [44].
Awaad, H.F El-Maghraby, W.H Eisa, M.
Abou el Ezz, F.
Online since: May 2015
Authors: Stelian Brad, Darius Buna, Bogdan Mocan, Mircea Fulea
Tompkins, et al.
A., El – Baz, A genetic algorithm for facility layout problems of different manufacturing environments, Computers and Industrial Engineering, 47(2-3) (2004) 233-246
Al - Hakim, On solving facility layout problems using genetic algorithms, International Journal of Production Research, 38 (2000) 2573–2582
El - Baz, A genetic algorithm for facility layout problems of different manufacturing environments, Computers and Industrial Engineering, 47 (2004), 233–246 [23] S.
A., El – Baz, A genetic algorithm for facility layout problems of different manufacturing environments, Computers and Industrial Engineering, 47(2-3) (2004) 233-246
Al - Hakim, On solving facility layout problems using genetic algorithms, International Journal of Production Research, 38 (2000) 2573–2582
El - Baz, A genetic algorithm for facility layout problems of different manufacturing environments, Computers and Industrial Engineering, 47 (2004), 233–246 [23] S.
Online since: August 2022
Authors: Karna Wijaya, Resty Zama Andiena, Akhmad Syoufian
This result was justified by Kaur et.al [11] in which the highest basicity was gained by the optimum concentration of Zr.
Catal. 348 (2006) 75-81. https://doi.org/10.1002/adsc.200505160 [6] Dehghani S, Haghighi M, Sono-sulfated zirconia nanocatalyst supported on MCM-41 for biodiesel production from sunflower oil: Influence of ultrasound irradiation power on catalytic properties and performance, Ultrasonics Sonochemistry, Vol.35 (2017) A 142-151, ISSN 1350-4177. https://doi.org/10.1016/j.ultsonch.2016.09.012 [7] Booramurthy VK, Kasimani R, Pandian, S. et al, Nano-sulfated zirconia catalyzed biodiesel production from tannery waste sheep fat.
Technol. 119 (2014) 174-184. https://doi.org/10.1016/j.fuproc.2013.11.002 [12] Said A.E.A, El-Wahab M.M.A, and El-Aal, M.A.
Catal. 348 (2006) 75-81. https://doi.org/10.1002/adsc.200505160 [6] Dehghani S, Haghighi M, Sono-sulfated zirconia nanocatalyst supported on MCM-41 for biodiesel production from sunflower oil: Influence of ultrasound irradiation power on catalytic properties and performance, Ultrasonics Sonochemistry, Vol.35 (2017) A 142-151, ISSN 1350-4177. https://doi.org/10.1016/j.ultsonch.2016.09.012 [7] Booramurthy VK, Kasimani R, Pandian, S. et al, Nano-sulfated zirconia catalyzed biodiesel production from tannery waste sheep fat.
Technol. 119 (2014) 174-184. https://doi.org/10.1016/j.fuproc.2013.11.002 [12] Said A.E.A, El-Wahab M.M.A, and El-Aal, M.A.
Online since: September 2023
Authors: G. Sivasakthi, K. Dhineshkumar, M. Sivanesh, C. Muguthan, R. Thiyagarajan, V. Pandiaraj
Development of a Neural Network Model and Taguchi-Based Optimization for Dry Sliding Wear Performance of Al 6065 Alloy Reinforced with Nano SiC and Graphene Nanoplatelets
V.
Given the range of applications where Al 6065 alloy is used, it is often necessary to improve its mechanical properties to meet specific requirements.
No Al 6065 alloy (%) SiC nanoparticles (%) Graphene Nanoplatelets (%) 1 96.5 2 1.5 2 94 4 2 3 89.5 6 4.5 Fig. 1.
This indicates that the composition of reinforcement is the most important parameter in determining the wear properties of the Al 6065 alloy.
El-Shafei, and A.
Given the range of applications where Al 6065 alloy is used, it is often necessary to improve its mechanical properties to meet specific requirements.
No Al 6065 alloy (%) SiC nanoparticles (%) Graphene Nanoplatelets (%) 1 96.5 2 1.5 2 94 4 2 3 89.5 6 4.5 Fig. 1.
This indicates that the composition of reinforcement is the most important parameter in determining the wear properties of the Al 6065 alloy.
El-Shafei, and A.