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Online since: December 2009
Authors: Majid Abbasi, S. Kheirandish, Y. Kharrazi, J. Hejazi
. %)
Type of Steel
C Mn Si Ni Cr Others
Hadfield (Casting) 1.4 14 0.3 - - Al=0.2
316L (Bar) 0.03 2 0.75 12 18 Mo=2
Mild (Bar) 0.2 0.6 0.5 - - -
Table 2.
Strength (MPa) Type of Pin Yield UTS el. (%) Hardness (HB) ρ ( / 3kg m ) Microstructure Hadfield Steel (Casting*) 395 875 48 195 7700 Austenitic Matrix free from any carbides 316L Stainless Steel (Bar) 170 485 40 217 8000 Austenitic Matrix free from any carbides Mild Steel (Bar) 330 448 36 150 7850 Ferritic-Pearlitic Disc Selection.
Strength (MPa) Type of Pin Yield UTS el. (%) Hardness (HB) ρ ( / 3kg m ) Microstructure Hadfield Steel (Casting*) 395 875 48 195 7700 Austenitic Matrix free from any carbides 316L Stainless Steel (Bar) 170 485 40 217 8000 Austenitic Matrix free from any carbides Mild Steel (Bar) 330 448 36 150 7850 Ferritic-Pearlitic Disc Selection.
Online since: January 2015
Authors: Zhi Hui Xie, Jun Li Zhou, Shu Rong Xiang, Fang Chen
ENP coatings were formed on AZ31B magnesium alloy (Al ~ 3%, Zn ~ 1%, bal.
El Mahallawy, A.
El Mahallawy, A.
Online since: May 2014
Authors: Masato Ueda, Mohammed A. Gepreel, Masahiko Ikeda, Kiyomichi Nakai, Sengo Kobayashi, Akira Miyamoto, Satoshi Okano, Mervat M. Ibrahim, Tatsuaki Sakamoto
Box 179, New Borg El-Arab City Postal Code 21934, Alexandria, Egypt
3 Central Metallurgical R&D Institute (CMRDI), P.O.
Lin et. al examined the effect of Fe addition on the microstructure and mechanical properties of the Ti-7.5Mo-0~7Fe (wt%) (Ti-3.9Mo-0~6.3Fe (at%)) alloys.
Lin et. al examined the effect of Fe addition on the microstructure and mechanical properties of the Ti-7.5Mo-0~7Fe (wt%) (Ti-3.9Mo-0~6.3Fe (at%)) alloys.
Online since: April 2012
Authors: Wan Mohd Faizal Wan Mahmood, Javad Zareei, H. Yusoff Ali, Shahrir Abdullah
[2] Takashi K, et al.
[14] El-Sherif AS.
[14] El-Sherif AS.
Online since: December 2012
Authors: Luigi Carrino, Mario Montuori, Stefano Ciliberto, Valentino Paradiso, Antonino Squillace
Matykina, Corrosion protection of Mg/Al alloys by thermal sprayed aluminium coatings Appl.
El-Morsy, K.I.
El-Morsy, K.I.
Online since: July 2012
Authors: Bart Peeters, Jian Chen, Robert Randall, Herman Van der Auweraer, Wim Desmet
Inspired by the work of Desbazeille et al. [5], the features (amplitude and phase) were extracted from the Fourier coefficients of the averaged raw signals for the misfire detection.
El Badaoui, C.
El Badaoui, C.
Online since: November 2012
Authors: Bouzouane Bélaid, Nacer Hamzaoui
DETECTION OF MECHANICAL DEFECTS BY NEURAL NETWORKS
“Experimental Analysis”
Bouzouane Bélaid1,a and Hamzaoui Nacer2,b
1 Laboratoire de Mécanique Avancée (LMA), Université des Sciences et de la Technologie
Houari Boumédiène, BP 32, El Alia, 16111 Bab Ezzouar, Alger Algérie.
2 Laboratoire de Vibrations Acoustique (LVA), INSA de Lyon, Bât.
Al-Balushi, Artificial neural network based fault diagnosis of rolling element bearings using time – domain features.
Al-Balushi, Artificial neural network based fault diagnosis of rolling element bearings using time – domain features.
Online since: August 2018
Authors: Marc Meuris, Bart Vermang, Dilara Gokcen Buldu, Jessica de Wild, Thierry Kohl, Sunil Suresh, Gizem Birant, Guy Brammertz, Jef Poortmans
Buffiere et al. have shown that ammonia sulfide (AS) ((NH4)2S) etching, which is less toxic, can be an alternative for KCN etching proving that the minority carrier lifetime is increased [9].
El Mel, N.
El Mel, N.
Online since: April 2020
Authors: Poedji Loekitowati Hariani, Muryati Muryati, Muhammad Said, Salni Salni
Al-Ghamdi, F.
El-Tantawy, N.
El-Tantawy, N.