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Tensile and Fatigue Behavior of Shallow Cryogenically Treated EN19 Alloy Steel

BSACIST-Loganathan Sekar, Tamil Arasan
SRM Institute of Science and Technology-Rajendran Raj
Published 2019-10-11 by SAE International in United States
Tensile and axial fatigue tests were conducted on shallow cryogenically treated EN19 medium carbon alloy steel to investigate its mechanical behavior. The test samples were conventionally heat treated then oil quenched at room temperature. Followed by the samples were kept for shallow cryogenic treatment to -80°C for 8 hours using liquid nitrogen. Then the samples were tempered in a muffle furnace to relieve the induced residual stresses. Tensile and axial fatigue test were carried out on both treated and non-treated samples to measure its tensile strength and fatigue behavior respectively. Microscopic examination also had done to compare the effect of shallow cryogenic treatment on its microstructure. The results exposed that there is an increase in the tensile strength and reduction in fatigue life of shallow cryogenically treated samples over base metal and improved wear resistance.
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Metallurgical and Wear Behaviour of Stellite 6 Reinforced Stainless Steel 316 Joints by Nd-YAG Laser Welding Process

BSACIST-Varun Kumar Arulvizhi, Selvakumar Alandur Somasundaram, Balasrinivasan Murugan, Ravikumar Natarajan
Renault & Nissan-Abdur Rahman Kalam
Published 2019-10-11 by SAE International in United States
Laser welding process is a most effective and predominant method for joining of steel alloys when compared with other welding processes in practice due to their precise control of laser source across the bonding zone where it is crucial to control in other joining processes. In common the austenitic steels differ from ferritic based on two factors, thermal conductivity and expansion. Here, the selected Nd-YAG laser setup for joining of similar base material stainless steel 316 which is reinforced with and without stellite 6 powders. The experimental investigations (metallurgical survey and wear characteristics) were performed on all the samples. The powders were reinforced in the material directly by performing a drill across the bond line instead of a normal coating process which is in practice, later the powders were stuffed through the holes. Totally four samples were processed by varying the process parameters such as laser power (W), laser frequency (Hz) and keeping the time (s), feeding rate (mm/s) as constant. During the joining process the powders will get solidified with the molten steel alloy.…
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Advances in Laser Welding of Stainless Steel Alloys

BSACIST-Varun Kumar Arulvizhi, Selvakumar Alandur Somasundaram, Mohammed Haareeskhan Niyaz, Pradeep Krishna Ranganathan, Afnan Zaid Moolai, Mohamed Ashfaq Ahmed Abdulla Burhanudeen, Mohan Raj Ramu
Published 2019-10-11 by SAE International in United States
As a fusion welding process, Laser welding has proven to be the most promising method for joining of different materials whether it can be either a similar or dissimilar material category. However, few complications still remain unanswered in joining of materials by laser process after successful implementation of laser’s by industries and also the commercial users in previous year’s such as workpiece preparation, fixture issues, atmospheric conditions, nozzle focus on the material, etc., This article will give an elaborate survey on joining of stainless steel alloys, though there are many factors to be considered here concentration is on the metallurgical behaviour and tensile properties of weldments joined by laser welding technique, because the main criteria for a weldment is to have a coarse grain boundary distribution which may be distorted due to high heat generation during a joining process and to possess good tensile strength in order to withstand the impacts given on the weldment when it is being practically deployed in usage. The material behavior of weldment is primarily based on the process parameters…
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Fault Detection in Single Stage Helical Planetary Gearbox Using Artificial Neural Networks (ANN) and Decision Tree with Histogram Features

BSACIST-Syed Shaul Hameed, Muralidharan Vaithiyanathan, Mahendran Kesavan
Published 2019-10-11 by SAE International in United States
Drive train failures are most common in wind turbines. Lots of effort has been made to improve the reliability of the gearbox but the truth is that these efforts do not provide a lifetime solution. Majority of failures are caused by bearing and gearbox. It also states that wind turbine gearbox failure causes the highest downtime as the repair has to be done at Original Equipment Manufacturer [OEM]. This work aims to predict the failures in planetary gearbox using fault diagnosis technique and machine learning algorithms. In the proposed method the failing parts of the planetary gearbox are monitored with the help of accelerometer sensor mounted on the planetary gearbox casing which will record the vibrations. A prototype has been fabricated as a miniature of single stage planetary gearbox. The vibrations of the healthy gearbox, sun defect, planet defect and ring defect under loaded conditions are obtained. The signals show the performance characteristics of the gearbox condition. These characteristics and their number of occurrences were plotted in a histogram graph. Predominant statistical features which represent…
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