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Sivamaran, V.
- Developing Empirical Relationship to Predict the Diameter of Multiwall Carbon Nano Tubes (MWCNTs) Synthesized by Chemical Vapor Deposition (CVD) Process
Abstract Views :222 |
PDF Views:2
Authors
Affiliations
1 Centre for Materials Joining & Research (CEMAJOR), Department of Manufacturing Engineering, Annamalai University, Chidambaram, Tamil Nadu, IN
2 Department of Chemistry, Annamalai University, Chidambaram, Tamil Nadu, IN
3 VB Ceramic Research Centre (VBCRC), Chennai, IN
4 NMRL, Mumbai, IN
1 Centre for Materials Joining & Research (CEMAJOR), Department of Manufacturing Engineering, Annamalai University, Chidambaram, Tamil Nadu, IN
2 Department of Chemistry, Annamalai University, Chidambaram, Tamil Nadu, IN
3 VB Ceramic Research Centre (VBCRC), Chennai, IN
4 NMRL, Mumbai, IN
Source
Manufacturing Technology Today, Vol 16, No 6 (2017), Pagination: 3-11Abstract
The thermal chemical vapor deposition (CVD) route was used to synthesize multi walled carbon nano tubes (MWCNTs) and metal NiO powders was used as catalyst and it supported on crystalline alumina nano particles. Acetylene was used as the carbon source gas and Argon was used as the carrier gas. An empirical relationship was developed to predict the diameter of MWNTs incorporating important CVD process parameters. Three factors, five levels central composite design was used to minimize number of experimental conditions. The CVD parameters such as reaction temperature, gas flow rate and process time were chosen as the important parameters. The diameter of MWNTs was measured using field emission scanning electron microcopy (FESEM). Analysis of variance (ANOVA) method was used to identify significant main and interaction factors. Final empirical relationship was developed using these significant factors. The developed empirical relationship can be effectively used to predict the diameter of MWNTs synthesized through CVD process at 95% confidence level.Keywords
Carbo Nano Tube, Chemical Vapor Deposition, Design of Experiments, Analysis of Variance.
References
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- Indian Railways on Fast Track with Welding Industry 4.0 : Application of Internet of Things and Artificial Intelligence
Abstract Views :102 |
PDF Views:1
Authors
Tushar Sonar
1,
V. Balasubramanian
2,
S. Malarvizhi
2,
Namita Dusane
3,
V. Sivamaran
4,
C. Rajendran
5
Affiliations
1 G. S. Mandal's Maharashtra Institute of Technology, Aurangabad, Maharashtra, IN
2 Annamalai University, Annamalai Nagar, Tamil Nadu, IN
3 Hinduja College of Commerce, Mumbai, Maharashtra, IN
4 Audisankara College of Engineering & Technology (Autonomous), Gudur, Andhra Pradesh, IN
5 Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, IN
1 G. S. Mandal's Maharashtra Institute of Technology, Aurangabad, Maharashtra, IN
2 Annamalai University, Annamalai Nagar, Tamil Nadu, IN
3 Hinduja College of Commerce, Mumbai, Maharashtra, IN
4 Audisankara College of Engineering & Technology (Autonomous), Gudur, Andhra Pradesh, IN
5 Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, IN
Source
Manufacturing Technology Today, Vol 20, No 11-12 (2021), Pagination: 10-20Abstract
The objective of this paper is to explain about application of Internet of Things (IoT) and Artificial Intelligence (AI) in welding of Indian Railways. The introduction of welding technology has also been followed by the country’s economic growth. Indian Railways has long been the single most significant infrastructure entity in India, with the railway track network expanding for many years. The new manufacturing sector is speeding the transition to digital and intelligent manufacturing, with the ongoing growth and maturity of cloud computing, big data, IoT and other innovations. Welding methods are also one of the fields where AI is tested and used early, with the help of information technology. Train maintenance and repair is usually carried out in demanding working conditions and frequently under demand from time. In such high demand and dynamic activities, it helps to decrease human error. In the welding of rail tracks and machine parts, IoT and AI will certainly offer many advantages in less time and with greater accuracy and precision. It will allow the Indian Railways to become more profitable and effective.Keywords
Indian Railways, Internet of Things, Artificial Intelligence, Welding 4.0.References
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- Chantry, B. (2021). Cloud based production monitoring reshapes weld performance tracking. https://www.lincolnelectric.com/en-us/support/process-and-theory/Pages/cloud-based-production-monitoring.aspx
- Chen, C., Lv, N., Chen, S. (2018). Data driven welding expert system structure based on internet of things, Transactions on Intelligent Welding Manufacturing, 45-60.
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- Simoens, P., Dragone, M., & Saffiotti, A. (2018). The Internet of Robotic Things: A review of concept, added value and applications. International Journal of Advanced Robotic Systems, 15(1). https://doi.org/10.1177/1729881418759424
- Veikkolainen, M. (2017) Internet of Welding reaching for the top of competitiveness. https://weldingvalue.com/2017/05/internet-of-welding-reaching-for-the-top-of-competitiveness
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- Zhong, R.Y., Xu, X., Klotz, E., & Newman, S, T. (2017). Intelligent Manufacturing in the Context of Industry 4.0: A Review, Engineering, 3(5), 616–630.
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- Regenerative Braking Power System
Abstract Views :88 |
PDF Views:0
Authors
Affiliations
1 Audisankara College of Engineering & Technology, Gudur, Andhra Pradesh, IN
1 Audisankara College of Engineering & Technology, Gudur, Andhra Pradesh, IN
Source
Manufacturing Technology Today, Vol 20, No 11-12 (2021), Pagination: 35-39Abstract
As the basic law of Physics says, “energy can neither be created nor be destroyed it can only be converted from one form to another”. During huge amount of energy is lost to atmosphere as heat. It will be good if we could store this energy somehow which is otherwise getting wasted out and reuse it next time we started to accelerate. Regenerative braking refers to a system in which the kinetic energy of the vehicle is stored temporarily, as an accumulative energy, during deceleration, and is reused as kinetic energy during acceleration or running. Regenerative braking is a small, yet very important, step toward our eventual independence from fossil fuels. These kinds of brakes allow batteries to be used for longer periods of time without the need to be plugged into an external charger. These types of brakes also extend the driving range of fully electric vehicles. Regenerative braking is a way to extend range of the electric vehicles. In many hybrid vehicles cases, this system is also applied hybrid vehicles to improve fuel economy.Keywords
Regenerative Braking, Kinetic Energy, Braking System.References
- Bhandari, P., Dubey, S., Kandu, S., Deshbhratar, R. (2017). Regenerative Braking Systems (RBS). International Journal of Scientific & Engineering Research, 8(2), 71-74.
- Guney, B., Kilic, H. (2020). Research on Regenerative Braking Systems: A Review. International Journal of Science and Research (IJSR), 9(9), 160-166.
- Vignesh, R., Benin, S. R. (2020). Design and analysis of regenerative braking system of all-terrain vehicle. Journal of critical reviews, 7(6).
- Yanan, G. (2016). Research on Electric Vehicle Regenerative Braking System and Energy Recovery. International Journal of Hybrid Information Technology, 9(1), 81-90.