scholarly journals Optimization of Ultrasonic Surface Treatment Condition of CoCrMo (F75) Alloy using Taguchi Method

2019 ◽  
Vol 14 (8) ◽  
pp. 10298-10304
Author(s):  
Zainab Mohammed Lafta ◽  
Hayder H.J. Jamal Al-Deen ◽  
Ekbal Mohammed Saeed
2016 ◽  
Vol 31 (14) ◽  
pp. 2114-2124 ◽  
Author(s):  
Bing Zhang ◽  
Haibo Wang ◽  
Shuo Zhang ◽  
Guolin Song ◽  
Song-Zhu Kure-Chu ◽  
...  

Abstract


2020 ◽  
Vol 315 ◽  
pp. 05002
Author(s):  
Viktor Ovchinnikov ◽  
Irina Kurbatova ◽  
Nadezda Uchevatkina

The aim of this study was to study the properties of 1201 aluminum alloy after ultrasonic treatment and their evolution during subsequent ion implantation using the monotectic Cu-Pb alloy as the cathode material of the implant. It is shown that during ultrasonic treatment the surface layer of aluminum alloy 1201 undergoes significant changes. A nanocrystalline structure with a grain size of less than 200 microns is formed in it. Ultrasonic treatment of the surface of the target from alloy 1201 before implantation leads to a decrease in the depth of penetration of ions to 160–180 nm and the appearance of amorphization in the implanted layer.


2002 ◽  
Vol 9 (5) ◽  
pp. 433-444
Author(s):  
Miaki Shibaya ◽  
MAchiko Mizoguchi ◽  
Hiroyuki Hamada ◽  
Yoshimichi Fujii

2013 ◽  
Vol 315 ◽  
pp. 151-155
Author(s):  
M.R. Ibrahim ◽  
A.R. Abd. Kadir ◽  
M.S. Omar ◽  
S. Sulaiman ◽  
M.H. Osman

This paper presents the combination between the simulation analysis of FEM (DFORM 3D) and Taguchi method approach. The Taguchi method was used to find the optimize parameter design contribute to Flank wear. The parameters were evaluated are coated surface treatment, cutting speed and feed rate. The Usuis model carried out to measure the flank wear size. Furthermore, ANOVA analysis was used out to identify the influence factors contribute to tool wear in the signal to noise ratio. The experiments were conducted on AL6061 by using High Speed Steel Tool (HSS) in face milling cutting. It shown that, the coated surface treatment is the most significant parameter which can reduce the tool wear value.


1997 ◽  
Vol 07 (C3) ◽  
pp. C3-55-C3-60 ◽  
Author(s):  
R. R. Balokhonov ◽  
P. V. Makarov ◽  
V. A. Romanova

1989 ◽  
Vol 21 (9) ◽  
pp. 1260-1264
Author(s):  
V. K. Aksenov ◽  
P. A. Danilov ◽  
A. V. Mats ◽  
V. M. Netesov ◽  
A. A. Yaes

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