Duplex surface treatment of AISI 1045 steel via plasma nitriding of chromized layer

2011 ◽  
Vol 519 (20) ◽  
pp. 6792-6796 ◽  
Author(s):  
F. Hakami ◽  
M. Heydarzadeh Sohi ◽  
J. Rasizadeh Ghani
2017 ◽  
Vol 140 (2) ◽  
Author(s):  
Ali Habibolahzadeh ◽  
Farahnaz Haftlang

For the first time, formation of cubic boron nitride (c-BN), besides Fe2B and iron nitrides, was detected in boronitride coating, which was applied via a duplex diffusional surface treatment. Boronitride coating was applied on AISI 1045 steel substrates via duplex treatment of pack boriding and plasma nitriding (B-PN). Scanning electron microscope (SEM), X-ray diffractometer (XRD), and pin-on-disk wear test were utilized to evaluate microstructures, phases, and wear properties of the coatings. The surface of the as-coated sample exhibited a pebblelike and compact structure, and the cross-sectional morphology of the coatings showed a saw-tooth interface with substrate. Duplex treated sample revealed superior wear resistance in comparison with the borided one.


Vacuum ◽  
2014 ◽  
Vol 107 ◽  
pp. 155-158 ◽  
Author(s):  
Farahnaz Haftlang ◽  
Ali Habibolahzadeh ◽  
Mahmoud Heydarzadeh Sohi

2021 ◽  
pp. 103882
Author(s):  
M. Naeem ◽  
A.V.R. Torres ◽  
P.L.C. Serra ◽  
R.M. Monção ◽  
C.A. Antônio Junior ◽  
...  

2016 ◽  
Vol 34 (2) ◽  
pp. 146-150 ◽  
Author(s):  
B. Miao ◽  
J. C. Li ◽  
H. Liu ◽  
W. Wei ◽  
J. Hu

2013 ◽  
Vol 54 (3) ◽  
pp. 344-349 ◽  
Author(s):  
Shoichi Kikuchi ◽  
Takahiro Fukuoka ◽  
Takuma Sasaki ◽  
Jun Komotori ◽  
Kengo Fukazawa ◽  
...  

2006 ◽  
Vol 200 (18-19) ◽  
pp. 5370-5378 ◽  
Author(s):  
C. Godoy ◽  
R.D. Mancosu ◽  
M.M. Lima ◽  
D. Brandão ◽  
J. Housden ◽  
...  

2011 ◽  
Vol 486 ◽  
pp. 262-265
Author(s):  
Amit Kohli ◽  
Mudit Sood ◽  
Anhad Singh Chawla

The objective of the present work is to simulate surface roughness in Computer Numerical Controlled (CNC) machine by Fuzzy Modeling of AISI 1045 Steel. To develop the fuzzy model; cutting depth, feed rate and speed are taken as input process parameters. The predicted results are compared with reliable set of experimental data for the validation of fuzzy model. Based upon reliable set of experimental data by Response Surface Methodology twenty fuzzy controlled rules using triangular membership function are constructed. By intelligent model based design and control of CNC process parameters, we can enhance the product quality, decrease the product cost and maintain the competitive position of steel.


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