Ultrasound Signals Response Associated to Fatigue Failure Behaviour using Statistical Analysis

2013 ◽  
Vol 65 (1) ◽  
Author(s):  
M. M. Padzi ◽  
S. Abdullah ◽  
M. Z. Nuawi
Keyword(s):  
Carbon Steel ◽  
Fatigue Test ◽  
Fatigue Failure ◽  
Structural Changes ◽  
Energy Content ◽  
Fatigue Tests ◽  
Failure Behaviour ◽  
Aisi 1045 ◽  
Steel Aisi ◽  
Ultrasound Signals

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.

A Statistical Based Analysis Approach on Fatigue Failure Assessment of Carbon Steel

2011 ◽  
Vol 52-54 ◽  
pp. 1445-1450 ◽  
Author(s):  
Mahfodzah M. Padzi ◽  
Shahrum Abdullah ◽  
Mohd Zaki Nuawi
Keyword(s):  
Carbon Steel ◽  
Root Mean Square ◽  
Fatigue Failure ◽  
Fatigue Tests ◽  
Analysis Approach ◽  
Mean Square ◽  
Quadratic Mean ◽  
Failure Behaviour ◽  
Failure Assessment ◽  
Specimen Test

This paper discussed on an application of the statistical based analysis approach on fatigue failure of carbon steel. A new statistical based method known as Integrated Kurtosis-based Algorithm for Z-filter (I-kaz) and the quadratic mean were used in this fatigue failure assessment. Fatigue tests were performed according to the ASTM E466-96 standard with the attachment of a strain gauge to the tested specimen. Test was performed at a constant loading leading to the collection of strain data throughout the test. A fatigue based data acquisition system was used in this work. All obtained data were analysed using specific software. Fatigue failure behaviour was observed through the strain signal analysis to investigate significant correlation between I-kaz coefficient, root mean square value and the fatigue failure behaviour. It was found that I-kaz coefficient and root mean square value are proportional to life cycle.

Influence of On-the-Machine Laser Hardening on Machinability of Carbon Steel in Turning

2009 ◽  
Vol 407-408 ◽  
pp. 690-693
Author(s):  
Takahiko Kusano ◽  
Ryutaro Tanaka ◽  
Akira Hosokawa ◽  
Takashi Ueda ◽  
Tatsuaki Furumoto ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Carbon Steel ◽  
Hardened Steel ◽  
Laser Hardening ◽  
Hardened Zone ◽  
Spiral Form ◽  
Aisi 1045 ◽  
Steel Aisi ◽  
Turning Test ◽  
Continuous Chip

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.

Texture Changes of Carbon Steel and Stainless Steel as a Result of Wear

2005 ◽  
Vol 495-497 ◽  
pp. 441-446
Author(s):  
M. Reza Bateni ◽  
Jerzy A. Szpunar ◽  
X. Wang ◽  
Dong Yang Li
Keyword(s):  
Stainless Steel ◽  
Carbon Steel ◽  
Wear Test ◽  
Corrosive Wear ◽  
Fiber Texture ◽  
Corrosion Wear ◽  
Wear And Corrosion ◽  
Aisi 1045 ◽  
Steel Aisi ◽  
Wear Tests

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.

scholarly journals The influence of laser line hardening of carbon steel AISI 1045 on the lubricated wear against steel AISI 52100

Wear ◽  
1995 ◽  
Vol 181-183 ◽  
pp. 638-647 ◽  
Author(s):  
H. Visscher ◽  
M.B. de Rooij ◽  
P.H. Vroegop ◽  
D.J. Schipper
Keyword(s):  
Carbon Steel ◽  
Laser Line ◽  
Aisi 52100 ◽  
Aisi 1045 ◽  
Steel Aisi

Application of Infrared Imaging Technology in Fatigue Failure Prediction of Vehicle Wheel in Wheel Bending Fatigue Test

2016 ◽  
Author(s):  
W. H. Chai ◽  
X. D. Liu ◽  
Y. C. Shan ◽  
J. G. Wang
Keyword(s):  
Temperature Distribution ◽  
Real Time ◽  
Fatigue Test ◽  
Fatigue Failure ◽  
Infrared Imaging ◽  
Bending Moment ◽  
Fatigue Tests ◽  
Bending Fatigue ◽  
Time Prediction ◽  
Bending Fatigue Test

Bending fatigue test of vehicle wheel is the main test to verify the mechanics performance of spoke. The wheel is fastened to the bending fatigue test platform with bolts in the bending fatigue test. A cyclic bending moment is applied to the wheel, and after some number of cycles, fatigue failure will happen. In this paper, the bending fatigue test is carried out on a steel wheel and a wheel made of long glass fiber reinforced thermoplastic (LGFT) wheel, and infrared imager is used to monitor the temperature distribution and variation of wheels under bending loads in the test process. After the test, it is found that there are cracks at the highest-temperature spots. In addition, because some cracks of LGFT wheel are too tiny to be found, it’s convenient to search those cracks according to the high-temperature areas in infrared images. All above indicate that it is practicable to predict fatigue failure area by monitoring temperature distribution and variation in wheel bending fatigue test. A method for real-time prediction of fatigue failure area in wheel bending fatigue test is described in this paper, which is also helpful to real-time prediction of fatigue failure area in fatigue tests of other products.

Fatigue Damage Assessment Correlating with I-Kaz Coefficient

2013 ◽  
Vol 471 ◽  
pp. 235-240
Author(s):  
Mahfodzah M. Padzi ◽  
S. Abdullah ◽  
Mohd Zaki Nuawi
Keyword(s):  
Fatigue Life ◽  
Carbon Steel ◽  
Fatigue Damage ◽  
Strain Gauge ◽  
Damage Assessment ◽  
Data Acquisition System ◽  
Sampling Frequency ◽  
Fatigue Tests ◽  
Constant Loading ◽  
Aisi 1045

This paper describes the correlation between fatigue life with the I-kaz coefficients. Fatigue tests were performed according to the ASTM E466-96 standard with a strain gauge attached to the specimen being tested. AISI 1045 carbon steel was used as the material for this test due to its wide applications in the automotive and machinery industry. Fatigue tests were carried out at several constant loading stresses of 610 MPa, 650 MPa and 690 MPa at the sampling frequency of 8 Hz. A set of data acquisition system was used to collect the fatigue strain signals. The integrated Kurtosis-based algorithm for Z-filter (I-kaz) technique had been used to find the I-kaz coefficient. The I-kaz coefficient is found to have a good correlation with fatigue life, other than can represent fatigue damage.

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