Browsing by Author "Davanageri, M.B."

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Effect of Sigma (?) phase on Mechanical and Dry sliding wear
(2017) Davanageri, M.B.; Narendranath, S.; Kadoli, R.
In this paper, the wear behaviour of heat treated (oil and water quenched) super duplex stainless steel (SDSS) AISI 2507 was studied using dry sliding wear test rig. Initially as received materials was solution treated at 1050�C for duration of 2 h to achieve a balanced austenite (?) and ferrite (?) microstructure. The effect of different heat treatment techniques on microstructure and wear behaviour was studied by heat treating specimen at 850�C for duration of 1 h and was followed by oil and water quenching. The microstructure and crystal structure were studied through scanning electron microscope (SEM) and X-ray diffraction. The sliding wear test was employed with variation in load and speed at constant sliding distance. The results reveal that wear rate increased with increase in wear parameters. The oil quenched exhibited better wear resistance than water quenched and solution treated specimen. The worn surface morphology were analysed through SEM micrographs. � 2017 Elsevier Ltd.
Finite Element Wear Behaviour Modeling of Super duplex stainless steel AISI 2507 Using Ansys
(2018) Davanageri, M.B.; Narendranath, S.; Kadoli, R.
In this paper the finite element simulation approach has been employed for the work that has been recently carried out by Davanageri et al.(2017). The super duplex stainless steel AISI 2507 material was heat treated at 850�C with different ageing time (30, 60, 90 minutes), followed by water quench. The heat treatment was carried out to encourage the precipitation of inter-metallic secondary sigma phase (?). The study of dry sliding wear behavior was carried out with the pin-on-disc equipment. The heat treatment and ageing time increases the hardness of the duplex steel, resulting in improved wear resistance. The Archard wear model and finite element software ANSYS WORKBENCH-16 was used to determine the wear volume loss. The specific wear rate or dimensional wear coefficient is the most significant factor in the wear volume calculation and it varies with material and operating parameters. The study shows that frictional coefficient varies with material properties (hardness) at similar operating condition. Finally the results reveal that there is a good agreement that exists between the simulated (FE) values and those of the experimental values. � Published under licence by IOP Publishing Ltd.
Finite Element Wear Behaviour Modeling of Super duplex stainless steel AISI 2507 Using Ansys
(Institute of Physics Publishing helen.craven@iop.org, 2018) Davanageri, M.B.; Narendranath, S.; Kadoli, R.
In this paper the finite element simulation approach has been employed for the work that has been recently carried out by Davanageri et al.(2017). The super duplex stainless steel AISI 2507 material was heat treated at 850Â°C with different ageing time (30, 60, 90 minutes), followed by water quench. The heat treatment was carried out to encourage the precipitation of inter-metallic secondary sigma phase (Ïƒ). The study of dry sliding wear behavior was carried out with the pin-on-disc equipment. The heat treatment and ageing time increases the hardness of the duplex steel, resulting in improved wear resistance. The Archard wear model and finite element software ANSYS WORKBENCH-16 was used to determine the wear volume loss. The specific wear rate or dimensional wear coefficient is the most significant factor in the wear volume calculation and it varies with material and operating parameters. The study shows that frictional coefficient varies with material properties (hardness) at similar operating condition. Finally the results reveal that there is a good agreement that exists between the simulated (FE) values and those of the experimental values. Â© Published under licence by IOP Publishing Ltd.
Modeling and Optimization of Wear Rate of AISI 2507 Super Duplex Stainless Steel
(Springer Netherlands rbk@louisiana.edu, 2019) Davanageri, M.B.; Narendranath, S.; Kadoli, R.
The present work attempts to study the parameters influencing wear, namely, applied load, heat-treated temperature, sliding velocity, and sliding distance using statistical Design of Experiments (DOE) and Response Surface Methodology (RSM). The wear behavior of super duplex stainless steel was evaluated under dry sliding conditions. A three-level Central Composite Design (CCD) based non-linear model was used to establish input-output relationship based on the collected experimental input-output data. Surface plots were used to study the influence of applied load, heat-treated temperature, sliding distance, and sliding velocity on the wear rate of super duplex stainless steel. The wear rate was observed to vary nearly non-linearly with applied load and linearly with the rest of the input parameters. Analysis of Variance (ANOVA) was conducted to test the statistical adequacy of the non-linear model developed. Applied load and heat-treated temperature were found to have a more positive contribution towards the wear rate than other parameters. Although the sliding velocity had a negligible effect, its interaction with applied load and heat-treated temperature had a significant impact on the wear rate. The regression equation developed was tested for its prediction precision with the help of 20 test cases. Further, attempts were also made to determine the optimum combination of input parameters that minimize the wear rate using the Desirability Function Approach (DFA). The objective of minimizing the wear rate was met with the highest desirability value of 1. Confirmation experiments were conducted for the determined optimal set of input parameters of 20 test cases resulting in an average absolute percent deviation in prediction of 6.34% and 5.58%. © 2018, Springer Science+Business Media B.V., part of Springer Nature.