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Hiremath, Niranjan
- An Integrated Tribological and Vibration Signal Behaviour of TiN and AlCrN based PVD Coatings for Roller Bearings
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Authors
Affiliations
1 Mechanical Engineering Department, Reva Institute of Technology and Management, Bangalore – 560064, Karnataka, IN
2 SMEC, VIT University, Vellore – 632014, Tamil Nadu, IN
1 Mechanical Engineering Department, Reva Institute of Technology and Management, Bangalore – 560064, Karnataka, IN
2 SMEC, VIT University, Vellore – 632014, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 47 (2016), Pagination:Abstract
Objective: The goal of current work is to check the suitability of Titanium Nitride (TiN) and Aluminium Chromium Nitride (AlCrN) coatings for the outer race of roller bearings. Methods: Physical Vapour Deposition (PVD) method of coating is employed since it provides less coating thickness. Tribological behaviour is studied for wear rate and co-efficient of friction using PIN-ON-DISC machine. Statistical method of Vibration analysis is performed by extracting values such as kurtosis, skewness, crest factor and RMS from time domain signals captured. Findings: It is revealed in the results that wear rate for TiN coated bearing is 0.03mm3/min which is less than that of AlCrN coated bearing and uncoated bearing. Findings of the vibration study showed that kurtosis value is 7.6 for worn out AlCrN coated bearing compared to 4.4 for worn out TiN coated bearing. This clearly shows that TiN offers better wear resistance which supports the results of wear analysis. It is observed in SEM images of morphological studies that more wear tracks and ploughing marks occurred in uncoated and AlCrN coated bearing surfaces compared to TiN coated bearing. Application/Improvements: Current work provides a good integrated approach for tribological and vibration signal behavior of TiN and AlCrN based PVD coatings thus improving correlation between the two methods and it can be prolonged for prognosis.Keywords
Kurtosis, Physical Vapor Deposition, Tribology, Time Domain Signal, Wear Rate.Full Text
- A study on performance of surface modified NACA 2412 airfoil at various Reynolds number and angle of attacks
Abstract Views :101 |
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Authors
Affiliations
1 School of Mechanical Engineering, REVA University, Bangalore, IN
2 Nitte Meenakshi Institute of Technology, Bangalore, IN
1 School of Mechanical Engineering, REVA University, Bangalore, IN
2 Nitte Meenakshi Institute of Technology, Bangalore, IN
Source
Journal of Mines, Metals and Fuels, Vol 69, No 12A (2021), Pagination: 269-275Abstract
In the present investigation, aerodynamic performance study of NACA 2412 airfoil with surface modifications for the enhanced optimized aerodynamic characteristics is carried out. Three airfoils were built by introducing the cut at different locations. The present work is a computational analysis of the effect of inward cut on the lower surface of airfoil at 25%, 50%, and 75% chord length. The study parameters include flow separation (or stall), lift, drag, and angle of attack. The model is developed in Ansys design modeler and meshed in ICEMCFD. All three meshed models are simulated at 0o, 40o, 80o, 120o and 16o angle of attacks (AoA) at 60000 and 100000 (1 lakh) Reynolds number. The post processing revealed that, the increase in AoA resulted in increase in lift co-efficient (CL) for all three airfoils at both Reynolds number. The lift coefficient started increasing as the position of cut moved towards the trailing edge. The flow started separating after 12o AoA. It was found that, the airfoil with inward cut at 75% of chord length resulted in attaining highest lift co-efficient when compared to other two airfoils.Keywords
NACA, airfoil, angle of attack, Reynolds number.
References
- O. John E. Matsson, Connor McCain, John Voth, Oral Roberts University, (2017): “Aerodynamic Performance of the NACA 2412 Airfoil at Low Reynolds Number “Connor McCain on 25 August.
- A. Ram Krishna Prasad, G. Daison, T. AmuthanSamsudeen, T. Aravind Raj and V. Sri Ram. (2017): He is sincerely thanks to Prof. B. Kanickai Raj, Mr. Ravi Shankar, Mr. G. Sakthivel, JJ College of Engineering and Technology “Flow Simulation on New Airfoils Design”IJSRD - International Journal for Scientific Research & Development, Vol. 4, Issue 12, 2017 | ISSN (online): 2321-0613
- Scott Douglas Lindsay, Paul Walsh, Ryerson University, Toronto, Canada. (2018): “Experimental Investigation of Spoiler Deployment on Wing Stall “Open Journal of Fluid Dynamics, 8, 308- 320.
- Er. Shivam Saxena, Mr. Rahul Kumar (2015): Department of Aeronautical Engineering, Babu Banarsi Das National Institute of Technology and Management, Lucknow, India “Design of NACA 2412 and its Analysis at Different Angle of Attacks, Reynolds Numbers, and a wind tunnel test” ISSN 2091-2730, Volume 3, Issue 2, March-April.
- Sonia Chalia, Manish Kumar Bharti (2017): Assistant professor, Department of Aerospace Engineering, Amity University Haryana Gurgaon, India, “Design and Analysis of Vortex Generator and Dimple over an Airfoil Surface to Improve Aircraft Performance” Vol.3, Issue 4, August 2017, ISSN: 2454-2377.
- Yogesh Thawrani and Ajith Kumar S (2018): Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India “Influence of surface temperature on the flow characteristics of NACA 2412 airfoil” Volume 119 No. 12, 71-75 ISSN: 1314-3395.
- Md. Tariqul Islamb, Amit M. E. Arefina, M. H. Masudc, (2018): Monjur Mourshedd Department of Mechanical Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh “The Effect of Reynolds Number on the Performance of a Modified NACA 2412 Airfoil” doi: 10.1063/ 1.5044325.
- Amit Kumar Saraf, Dr. Mahendra Pratap Singh, Dr. Tejsingh Chouhan (2016): “A Review on Aerodynamic Behaviour of Airfoil when Surface Modified” Volume 7, Issue 3, March, ISSN 2229-5518.
- Design and Optimiozation of Front A – Arm Suspension System for Speciqal Purpose Electric Vehicle
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Authors
Affiliations
1 PG Schoolar, M. Tech Machine Design, REVA University, Bangalore, Karnataka, India. “PG Coordinator and Associate Professor, School of Mechanical Engineering, REVA University, Bangalore, Karnataka, India., IN
1 PG Schoolar, M. Tech Machine Design, REVA University, Bangalore, Karnataka, India. “PG Coordinator and Associate Professor, School of Mechanical Engineering, REVA University, Bangalore, Karnataka, India., IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 10A (2022), Pagination: 36-40Abstract
An electric vehicle also called as EV is a vehicle that make use of the electric motors for its operation. It can be operated by a set electronics system, with power from an external battery source also from the solar panels and sometimes from converting fuel to electricity using fuel cells. This project is mainly focused on the comfort and handling area of the EV’s and hence worked more on the suspension system. Suspension system is basically used to gain good road holding while driving, cornering events and sudden braking conditions and also to keep the proper steering geometry while various road conditions. Another important reason for suspension system is to offer comfort to the occupants against road shocks and provide a riding comfort. In this project, we extensively worked on the suspension system types, its design, optimization and manufacturing aspects for the initial prototype. A – Arm suspension system was selected for the study and an initial concept of the suspension system was made using Creo Parametric Software and then the optimization was performed using M.Sc Adams software for better handling behavior. Manufacturing drawing were also created for initial prototype build.
References
- Ijagbemi CO et al. (2016): “Design and simulation of Fatigue Analysis for a Vehicle Suspension System and its Effect on Global warming”, Procedia Engineering, 159, 124–132.
- Kim DH, Choi DH and Kim HS (2014): “Design optimization of a carbon fiber reinforced composite automotive lower arm”, Composites Part B: Engineering, 58, 400–407.
- Bharat Kumar Sati et al.(2016): “Static and Dynamic analysis of the roll cage for an All-Terrain vehicle”, Imperial Journal of Interdisciplinary Research(IJIR),6(2),245-248.
- Fault Prediction of Ball Bearings using Machine Learning: A Review
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Authors
Affiliations
1 School of Mechanical Engineering, REVA University, Bengaluru 560064, Karnataka, India., IN
1 School of Mechanical Engineering, REVA University, Bengaluru 560064, Karnataka, India., IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 10A (2022), Pagination: 289-293Abstract
Machine learning and deep learning algorithms have shown positive outcomes in a variety of industries. The number of defects in machinery equipment is predicted to rise as the usage of smart machinery grows. The use of diverse algorithms to detect and diagnose machine faults is becoming more common. Using both open-source and closed-source data sets and machine learning methods, a variety of studies have been conducted and published. This paper reviews current work that uses the bearing data set to detect and diagnose equipment faults using machine learning and deep learning methods. In this paper, the working algorithm, result, and other relevant details are described, as well as the recently published studies.
Keywords
Machine Learning, Deep Learning, Condition Monitoring, Bearing fault Prediction, Supervised Learning, etc.References
- Mohanty, A.R., Machinery Condition Monitoring: Principles and Practices (1st ed.). CRC Press, 2014.
- Caesarendra, W., Kosasih, B., Tieu, K., and Moodie, CAS., An application of nonlinear feature extraction- a case study for low-speed slewing bearing condition monitoring and prognosis, ASME International Conference on Advanced Intelligent Mechatronics (AIM), Wollongong, Australia, July 9-12, 2013.
- Wang, J., Qiao, L., Ye, Y., and Chen, Y., Fractional envelope analysis for rolling element bearing weak fault feature extraction, IEEE/CAA Journal of Automatica Sinica, Vol. 4, No. 2, 2017, pp. 353-360.
- Tamir, Dr. Michael. What Is Machine Learning (ML)? Berkley School of Information. [Online] 26 June 2020. [Cited: 15 February 2022.]https://ischoolonline. berkeley.edu/blog/what-is-machine-learning/.
- Sabita Rajbanshi. Everything you need to know about Machine Learning. Analytics Vidya. [Online] Analytics Vidhya, March 25, 2021. [Cited: February 15, 2022.] Available on https://www.analyticsvidhya.com/blog/ 2021/03/everything-you-need-to-know-about-machine-learning/.
- O.R. Seryasat, H. Ghayoumi Zadeh, M. Ghane, Z. Abooalizadeh, A. Taherkhani, F. Maleki. Fault Diagnosis of Ball-bearings Using PCA and Support-Vector Machine. Life Science Journal2013;10(1s): pp.393-397
- Sadoughi, Mohammadkazem & Downey, Austin & Bunge, Garrett & Ranawat, Aditya & Hu, Chao & Laflamme, Simon, Deep Learning-based Approach for Fault Diagnosis of Rolling Element Bearings. Annual Conference of the PHM Society, 2018.
- Pan, Honghu, Xingxi He, Sai Tang, & Meng, Fanming. “An Improved Bearing Fault Diagnosis Method using One-Dimensional CNN and LSTM.” Strojniški vestnik - Journal of Mechanical Engineering[Online], 64.7-8 (2018): 443-452. Web. 15 Feb. 2022
- Sylvain Barcet, Valentin Baron, Alexandre Carbonelli. Gears and bearings defaults: from classification to diagnosis using machine learning. Surveillance, Vishno and AVE conferences, INSA-Lyon, Université de Lyon, Jul 2019, Lyon, France. hal-02188537
- Xiaofeng He, Xiaofeng Liu, Xiulian Lu, Lipeng He, Yunxiang Ma, Jiasheng Zhang and Tao Yang, Software design of rotating machinery fault diagnosis system based on deep learning, E3S Web Conf., 2021, 260 03006
- D. Hochmann and E. Bechhoefer, “Envelope bearing analysis: theory and practice,” 2005 IEEE Aerospace Conference, 2005, pp. 3658-3666.
- Thakker, H & Dave, V & Vakharia, V & Singh, Sukhjeet, Fault Diagnosis of Ball Bearing Using Hilbert Huang Transform and LASSO Feature Ranking Technique. IOP Conference Series: Materials Science and Engineering, 2020.
- Houssem Habbouche, Yassine Amirat, Tarak Benkedjouh, Mohamed Benbouzid. Bearing Fault Event-Triggered Diagnosis using a Variational Mode Decomposition-based Machine Learning Approach. IEEE Transactions on Energy Conversion, Institute of Electrical and Electronics Engineers, 2021, pp.1-9.
- B. Peng, Y. Bi, B. Xue, M. Zhang and S. Wan, “Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes],” in IEEE Computational Intelligence Magazine,vol. 16, no. 3, Aug. 2021, pp. 79-94.
- Saha, D.K.; Hoque, M.E.; Badihi, H. Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach. Sensors2022, 22, 1073.
- Dineva, A.; Mosavi, A.; Gyimesi, M.; Vajda, I. Multi-Label Classification for Fault Diagnosis of Rotating Electrical Machines. Preprints 2019, 2019080029.
- Darji A., Darji P.H., Pandya D.H. Fault Diagnosis of Ball Bearing with WPT and Supervised Machine Learning Techniques. In: Tanveer M., Pachori R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748, 2019, Springer, Singapore.
- Jaskaran Singh, A.K. Darpe, S.P. Singh, Bearing damage assessment using Jensen-Rényi Divergence based on EEMD, Mechanical Systems and Signal Processing, Volume 87, Part A, 2017, Pages 307-339.
- Jaskaran Singh, A.K. Darpe, S.P. Singh, Rolling element bearing fault diagnosis based on Over-Complete rational dilation wavelet transform and auto-correlation of analytic energy operator, Mechanical Systems and Signal Processing, Volume 100, 2018, Pages 662-693.
- Z. Chen, J. Cen, and J. Xiong, “Rolling Bearing Fault Diagnosis Using Time-Frequency Analysis and Deep Transfer Convolutional Neural Network,” in IEEE Access,vol. 8, 2020, pp. 150248-150261.
- Numerical Studies of Air Flow Analysis in Compressed Air Filters
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Authors
Affiliations
1 PG Scholar, School of Mechanical Engineering, REVA University, Bangalore 560064,Karnataka, India., IN
2 Professor, School of Mechanical Engineering, REVA University, Bangalore 560064, Karnataka, India., IN
1 PG Scholar, School of Mechanical Engineering, REVA University, Bangalore 560064,Karnataka, India., IN
2 Professor, School of Mechanical Engineering, REVA University, Bangalore 560064, Karnataka, India., IN
Source
Journal of Mines, Metals and Fuels, Vol 70, No 10A (2022), Pagination: 342-348Abstract
The filter is developed by placing the filter media in between the inner surface and the outer surface of the stainless steel fabrication. Then the study on the compressed coming out of the filter is tested and analysis is made by two methods. In experimental method, the analysis done for the output compressed air which is passed through the 5HP compressor and the pressure gauge which is placed on either side of the filter. The survey is also conducted to check the life span of the filter. In analytical method the results are obtained for the ANYSYS ICEPAK and ANSYS space claim software. Then the results of both methods are compared and the results are concluded
Keywords
Compressed Air, Compressed Air Filter, Experimental and Analytical Methods, Lifespan of Filter.References
- ASME section 8
- EN ISO 15607: “Specification and qualification of welding procedures for metallic materials - General rules (ISO15607:2003)”
- EN ISO 15609: “Specification and qualification of welding procedures for metallic materials - Welding procedure specification(ISO 15609)”, five parts.
- EN ISO 15614: “Specification and qualification of welding procedures for metallic materials-Welding procedure test (ISO 15614)”, 13 parts.
- API 1104: “Welding of pipelines and related facilities”, parts 5 (procedures)
- “Compressor and Compressed Air System”, Energy Efficiency Guide for Industries, Chapter 3, pp.55-71,2009
- Vijay kumar F Pipalia, Dipesh D. Shukla and Niraj C. Mehta, “Investigation on Reciprocating Air Compressors –A Review”, International Journal of Recent Scientific ResearchVol.6, Issue 12, pp.7735-7739, December, 2015.
- Shashank Gurnule, Ritesh Banpurkar, “Design, Modification & Analysis of Industrial Air Compressor (Type – VT4) – A Review”, SSRG International Journal of Mechanical Engineering(SSRG- IJME), V4(12), Page 3–7, December 2017. ISSN: 2348–8360
- Kuldeep Tyagi & Er. Sanjeev Kumar, “Improved Air Compression System”, International Journal of Scientific Engineering and Applied Science(IJSEAS) - Volume-1, Issue-5, August 2015.
- Pawan Kumar Gupta, S.P.Asthana, Neha Gupta, “A Study Based on Design of Air Compressor Intercooler”, International Journal of Research in Aeronautical and Mechanical Engineering,Vol.1 Issue.7, November 2013, Pages: 186-203ISSN (ONLINE): 2321-3051.