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Online since: March 2025
Authors: Ivna Kavre Piltaver, Robert Peter, Kresimir Salamon, Ivana Jelovica Badovinac, Ales Omerzu, Karlo Velican, Matejka Podlogar, Daria Jardas, Mladen Petravic
The XPS measurements were performed with a SPECS instrument equipped with a monochromatic x-ray source of 1486.74 eV (Al Kα line) and a hemispherical electron analyzer (Phoibos MCD 100).
Al-Shahry, W.B.
El-Sheshtawy, A.A.
El-Shafi, S.I.
[19] A.L.
Al-Shahry, W.B.
El-Sheshtawy, A.A.
El-Shafi, S.I.
[19] A.L.
Online since: April 2021
Authors: Payal Baitule, R. Manivannan
[39] N.Hassan, S.M.Ali, A.Ebrahim and H.El-Adwy, Performance evaluation and optimization of Camellia sinensis extract as green corrosion inhibitor for mild steel in acidic medium, Materials Research Express. 6(2019)1-15
[41] M.T.Saeed, M.Saleem, A.H.Niyazi, F.A.Al-Shamrani, N.A.Jazzar and M.Ali ,Carrot (Daucus Carota L.)
El Bouari and H.Hannache, Punica granatum leave extract as green corrosion inhibitor for mild steel in Hydrochloric acid ,Web of Conferences. 5(2013)1-3 [45] A.M.Al-Fakih, M.
[54] S.R.Al-Mhyawi,Inhibition of mild steel corrosion using Juniperus plants as green inhibitior,African journal of pure and applied chemistry.8 (2014) 9-22
[41] M.T.Saeed, M.Saleem, A.H.Niyazi, F.A.Al-Shamrani, N.A.Jazzar and M.Ali ,Carrot (Daucus Carota L.)
El Bouari and H.Hannache, Punica granatum leave extract as green corrosion inhibitor for mild steel in Hydrochloric acid ,Web of Conferences. 5(2013)1-3 [45] A.M.Al-Fakih, M.
[54] S.R.Al-Mhyawi,Inhibition of mild steel corrosion using Juniperus plants as green inhibitior,African journal of pure and applied chemistry.8 (2014) 9-22
Online since: May 2009
Authors: A.K. Tyagi, Dimple P. Dutta
EL-Ghozzi, A.
Howe, A.L.
El-Al, G.
El-Sayed, Acc.
El-Shall, J.
Howe, A.L.
El-Al, G.
El-Sayed, Acc.
El-Shall, J.
Online since: August 2023
Authors: Joshua Olusegun Okeniyi, Ojo Sunday Isaac Fayomi, Nduka E. Udoye, Itopa G. Oyedepo
From the profiles, the deposited representative at 30 minutes indicated eight phases of which are Al(Mn,Ni)Si, Al(Mn), Mg(Zn), Al, Al(Zn) Al(Mn,Ni), MgSi, and Al(Mn,Ni)P as presented in Fig. 4.
[4] El-sherik, B.A.M., & Erb, U. (2006).
[4] El-sherik, B.A.M., & Erb, U. (2006).
Online since: May 2011
Authors: S.N. Dolia
Fig. 7 shows that the TB decreases linearly with H2/3 at relatively higher fields, in good agreement with the theoretical and experimental results of El-Hilo et al. [60], Wenger and Mydosh [61] and Brown [62].
El-Hilo, K.
El-Hilo, K.
Online since: September 2006
Authors: Kazuhiko Kasai, Yoji Ooki
Kanada et al. [23] for instance
described a real application of the column type, which turned out to be very effective in controlling
both displacements and forces including uplift force of the foundation.
� � � ��HU R�'� VS� DFHPHQW �� �)RU FH� ��RVV�6W � I I QHVV 3HD��'HI RU P� � � � � �3HD��'� VS� DFHPHQW �� �)RU FH� �6W RU D�H�6W � I I QHVV 3HD��'HI RU P� � Note�Fd = Fa ua = u � � � � � � VISCOUS VISCO-EL� STEEL OIL ENERGY DISSIPATER ADDED COMPONENT SYSTEM ua u u u ua ua u d u d u d F F F F d u ua u d F F d F a F a F d F a F d F a Figure 5 Steady-State Responses of Energy Dissipaters, Added Components, and Systems for 4 Different Dampers and 3 Different Peak Deformations Performance Curves and Design Performance Curves Based on Storage Stiffness and Loss Stiffness: To date, design and performance prediction of passive control systems have typically been based on iterations involving extensive response time history analyses or equivalent static analyses using various types and sizes of dampers.
RATIO Rd FRAME ONLY K"d / Kf ηd (Kb / Kf = 10) VISCO-EL.
� � � ��HU R�'� VS� DFHPHQW �� �)RU FH� ��RVV�6W � I I QHVV 3HD��'HI RU P� � � � � �3HD��'� VS� DFHPHQW �� �)RU FH� �6W RU D�H�6W � I I QHVV 3HD��'HI RU P� � Note�Fd = Fa ua = u � � � � � � VISCOUS VISCO-EL� STEEL OIL ENERGY DISSIPATER ADDED COMPONENT SYSTEM ua u u u ua ua u d u d u d F F F F d u ua u d F F d F a F a F d F a F d F a Figure 5 Steady-State Responses of Energy Dissipaters, Added Components, and Systems for 4 Different Dampers and 3 Different Peak Deformations Performance Curves and Design Performance Curves Based on Storage Stiffness and Loss Stiffness: To date, design and performance prediction of passive control systems have typically been based on iterations involving extensive response time history analyses or equivalent static analyses using various types and sizes of dampers.
RATIO Rd FRAME ONLY K"d / Kf ηd (Kb / Kf = 10) VISCO-EL.
Online since: March 2007
Authors: N.P. Brandon
A useful analytical simulation of porous composite SOFC electrodes, which takes into account
electronic and ionic transport, mass transport within pores, and electrochemical reactions, has been
reported by Costamagna et al [18].
El-Khoury, D.
El-Koury, M.
El-Khoury, D.
El-Koury, M.
Online since: October 2023
Authors: Rajesh Bhagat, Shantanu Khandeshwar
.:2.23kcps
El AN Series unn.
C Error (1 Sigma) [wt.%] [wt.%] [at.%] [wt.%] ----------------------------------------------------- C 6 K-series 34.40 59.12 67.85 4.95 O 8 K-series 18.49 31.26 27.38 3.03 P 15 K-series 5.97 10.09 4.57 0.27 K 19 K-series 0.20 0.33 0.12 0.04 Si 14 K-series 0.10 0.17 0.08 0.04 ----------------------------------------------------- Total: 59.15 100.00 100.00 Fly Ash Date:4/6/2022 3:26:10 PM HV:15.0kV Puls th.:2.23kcps El AN Series unn.
C Error (1 Sigma) [wt.%] [wt.%] [at.%] [wt.%] ----------------------------------------------------- Fe 26 K-series 46.15 50.99 23.72 1.47 O 8 K-series 33.17 36.65 59.51 4.45 C 6 K-series 3.75 4.14 8.95 1.05 Al 13 K-series 3.49 3.86 3.72 0.21 Si 14 K-series 3.46 3.83 3.54 0.19 Mg 12 K-series 0.48 0.53 0.57 0.07 ----------------------------------------------------- Total: 90.51 100.00 100.00 Fig. 12 Energy Dispersive X-Ray Analysis Results Identifying the constituents in the sample through qualitative analysis. determining the sample's stoichiometry through quantitative analysis with the help of EDS.
C Error (1 Sigma) [wt.%] [wt.%] [at.%] [wt.%] ----------------------------------------------------- C 6 K-series 34.40 59.12 67.85 4.95 O 8 K-series 18.49 31.26 27.38 3.03 P 15 K-series 5.97 10.09 4.57 0.27 K 19 K-series 0.20 0.33 0.12 0.04 Si 14 K-series 0.10 0.17 0.08 0.04 ----------------------------------------------------- Total: 59.15 100.00 100.00 Fly Ash Date:4/6/2022 3:26:10 PM HV:15.0kV Puls th.:2.23kcps El AN Series unn.
C Error (1 Sigma) [wt.%] [wt.%] [at.%] [wt.%] ----------------------------------------------------- Fe 26 K-series 46.15 50.99 23.72 1.47 O 8 K-series 33.17 36.65 59.51 4.45 C 6 K-series 3.75 4.14 8.95 1.05 Al 13 K-series 3.49 3.86 3.72 0.21 Si 14 K-series 3.46 3.83 3.54 0.19 Mg 12 K-series 0.48 0.53 0.57 0.07 ----------------------------------------------------- Total: 90.51 100.00 100.00 Fig. 12 Energy Dispersive X-Ray Analysis Results Identifying the constituents in the sample through qualitative analysis. determining the sample's stoichiometry through quantitative analysis with the help of EDS.