scholarly journals Investigation of Stress Relief Heat treatment on Carbon Steel AISI 1045 Weld

Author(s):  
Prachya Peasura
2009 ◽  
Vol 407-408 ◽  
pp. 690-693
Author(s):  
Takahiko Kusano ◽  
Ryutaro Tanaka ◽  
Akira Hosokawa ◽  
Takashi Ueda ◽  
Tatsuaki Furumoto ◽  
...  

This study deals with the influence of laser hardening for a carbon steel AISI 1045 on machinability in turning. Turning test was conducted for the purpose to clarify the influence of laser hardening for steel surface on the chip controllability and surface roughness. In turning laser hardened steel, continuous chip is broken in the laser hardened zone during cutting due to higher brittleness. The broken chips have spiral form and their length is approximately equal to those generated by less than 10 revolution cutting. The surface roughness shows slightly lower compared with non-laser hardened steel.


2019 ◽  
Vol 35 ◽  
pp. 1111-1116
Author(s):  
I.A. Daniyan ◽  
K. Mpofu ◽  
A.O. Adeodu ◽  
T.M. Azeez

2013 ◽  
Vol 650 ◽  
pp. 612-615
Author(s):  
Prachya Peasura ◽  
Lersak Sumarn

The research was study the effect of post weld heat treatment parameters on microstructure and hardness in heat affected zone. The specimen was carbon steel AISI 1050 which thickness of 6 mm. The experiments with full factorial design. The factors used in this study were post weld heat treatment(PWHT) temperature of 500, 550, 600, 650 and post weld heat treatment time of 10 and 15 hour. The welded specimens were tested by tensile strength testing and hardness testing according to ASTM code. The result showed that both of post welds heat treatment temperature and post weld heat treatment time had interaction on hardness at 95% confidential (P value < 0.05). A factor affecting the hardness was the most PWHT temperature 550 ๐C and PWHT time 10 hr. of 279 HV. Microstructure can be concluded that low PWHT temperature and time effect on temper martensite with a coarse grain and martensite scattered throughout. Martensite was a smaller and greater fine grain, the ferrite and the volume decrease due to a higher temperature.This research can be used as data in the following appropriate PWHT parameters to carbon steel weld.


2020 ◽  
Author(s):  
Rupendra Tanwar ◽  
Pradhyumn Soni ◽  
Sameer Quraishi ◽  
Sujay Kankariya Jain ◽  
Sujay Yadav

2005 ◽  
Vol 495-497 ◽  
pp. 441-446
Author(s):  
M. Reza Bateni ◽  
Jerzy A. Szpunar ◽  
X. Wang ◽  
Dong Yang Li

In this research, surface texture changes of carbon steel AISI 1045 and stainless steel AISI 304 under simultaneous wear and corrosion were investigated. A solution of 3.5 % wt. NaCl was used as the corrosion agent and a pin-on-disk tribometer was employed to perform wear and corrosion wear tests.Texture investigations of the worn samples have shown texture changes after wear and corrosion-wear tests. In worn carbon steel samples after dry wear test, {011}<100> and {111} fiber texture components were developed in initially random oriented samples, whereas under corrosive-wear conditions, {111}<011> texture and {001}<110> texture were developed. In the stainless steel samples, {112}<110> texture component was observed under both dry and corrosive wear conditions, in the samples that had random grain orientations before corrosion and corrosion-wear tests.


Wear ◽  
1995 ◽  
Vol 181-183 ◽  
pp. 638-647 ◽  
Author(s):  
H. Visscher ◽  
M.B. de Rooij ◽  
P.H. Vroegop ◽  
D.J. Schipper

2013 ◽  
Vol 65 (1) ◽  
Author(s):  
M. M. Padzi ◽  
S. Abdullah ◽  
M. Z. Nuawi

In this paper, ultrasound signals had been analysed using a statistical-based approach to evaluate and predict fatigue failure of carbon steel AISI 1045. Fatigue tests were performed according to the ASTM E466-96 standard with the attachment of an ultrasound sensor to the tested specimen. The material used in this test was the AISI 1045 carbon steel due to its extensive application in automotive and machinery industry. Fatigue test was carried out at a constant loading stress at the sampling frequency of 8 Hz. A set of data acquisition system was used to collect those fatigue ultrasound signals. All obtained data were analysed using specific software. Ultrasound signals were collected during fatigue test in order to detect any structural changes occurs during the test. Fatigue damage characteristics were observed based on the ultrasound signals characteristics and a further analysis was performed using statistical approach. The results of signals distribution, r.m.s value and energy content of the signals were discussed to correlate fatigue failure behaviour and ultrasound signals.


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