RAVI KUMAR KOTTALA
@mvgrce.com
Assistant Professor in Department of Mechanical Engineering
MVGR College of Engineering
EDUCATION
B. Tech (Mechanical Engineering)
M. Tech (Energy Engineering)
Ph. D (Renewable energy and machine learning)
RESEARCH, TEACHING, or OTHER INTERESTS
Renewable Energy, Sustainability and the Environment, Mechanical Engineering, Artificial Intelligence, Materials Science
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
G. PRAMOD KUMAR, K. R. BALASUBRAMANIAN, MURALIMOHAN CHEEPU, and RAVI KUMAR KOTTALA
World Scientific Pub Co Pte Ltd
This work addressed the effect of CMT-GMAW multi-control welding of Inconel 617 alloy with different wire feed rates (8.9, 9.4, and 9.9 m/min) on the microstructure, hardness, and electrochemical properties. The weld joints are composed of columnar dendritic structure with cellular crystals. Electron backscattered diffraction (EBSD) study showed equiaxed dendrite at the center of weld metal with growth direction perpendicular to the fusion boundary. The weldments showed diffraction peaks at 43.53[Formula: see text], 50.12[Formula: see text], and 74.82[Formula: see text], and these peaks mainly represent gamma ([Formula: see text]) and gamma prime ([Formula: see text]) phases along with the carbide peaks of Ti (C, N), M[Formula: see text]C6 and M6C. The Base metal (BM) had a lower hardness (232 ± 10 HV[Formula: see text]) and lower corrosion rate (0.212 mpy) than the weld joints. The increase in wire feed rate (WFR) results in the decrease of microhardness (267 ± 5 − 251 ± 6 HV[Formula: see text]) and increase in corrosion rate (1.833-28.140 mpy). The base metal exhibited higher potential ([Formula: see text]) and lower current density ([Formula: see text]) than the weld joints. As wire feed rate (WFR) increases, heat input increases; solidification time increases, grain boundaries coarsen, resulting in a lower grain boundary (GB) density, and hence increased carbide precipitation and segregation in weld zone leading to higher stable anodic current density, which caused corrosion resistance to deteriorating. The BM was more corrosion resistant than the weld joints. The metallurgical and physical changes caused by the welding process affect the corrosion resistance of the weld joints. This leads to the weld metal corroding faster than the base metal.
Pilli Neeraja, Ajit Kumar Senapati, Swarnalatha Moora, N. Dhanunjayarao Borra, and Ravi Kumar Kottala
Springer Science and Business Media LLC
Ravi Kumar Kottala, K. R. Balasubramanian, B. S. Jinshah, S. Divakar, and Bharat Kumar Chigilipalli
Springer Science and Business Media LLC
Bharat Kumar Chigilipalli, Teja Karri, Sathish Naidu Chetti, Girish Bhiogade, Ravi Kumar Kottala, and Muralimohan Cheepu
MDPI AG
The Internet of Things (IoT) is a new way of communicating that is changing the way things are monitored and controlled from a distance. Gradually, companies want to digitalize their production processes and implement control and monitoring systems on the shop floor. On the basis of the Industry 4.0 concept, internet features and database services have been incorporated into processes in order to reinvent manufacturing. This study proposes a proof-of-concept system for the management of additive manufacturing (AM) machines, where an internet integration of beacon technology in the manufacturing environment enables the rapid and intuitive interchange of production data retrieved from machines with mobile devices in various applications. Even though AM technologies can be used to customize the final product, they cannot be used to make a lot of 3D-printed jobs at once for commercial usage. Therefore, this research-based study aims to understand IoT technologies to improve the understanding and reliability of AM processes and 3D print smart materials in large quantities for manufacturers around the world. This study demonstrates the significance of the successful use of internet-based technologies in AM by examining its practical consequences in various fields. This paper gives an overview of IoT-based remote monitoring and control systems that could solve problems in AM, particularly in digital twin, human augmentation (HA), 3D bioprinters, 3D scanners, input parameters optimization, and electronics fields. IoT in AM makes production processes more efficient, reduces waste, and meets customer needs.
Ravi Kumar Kottala, Bharat Kumar Chigilipalli, Srinivasnaik Mukuloth, Ragavanantham Shanmugam, Venkata Charan Kantumuchu, Sirisha Bhadrakali Ainapurapu, and Muralimohan Cheepu
MDPI AG
Thermogravimetric analysis (TGA) was utilised to compare the thermal stability of pure phase change material (D-mannitol) to that of nano-enhanced PCM (NEPCM) (i.e., PCM containing 0.5% and 1% multiwalled carbon nanotubes (MWCNT)). Using model-free kinetics techniques, the kinetics of pure PCM and NEPCM degradation were analysed. Three different kinetic models such as Kissinger-Akahira-Sunose (KAS), the Flynn-Wall-Ozawa (FWO), and the Starink were applied to assess the activation energies of the pure and nano-enhanced PCM samples. Activation energies for pure PCM using the Ozawa, KAS, and Starink methods ranged from 71.10–77.77, 79.36–66.87, and 66.53–72.52 kJ/mol, respectively. NEPCM’s (1% MWCNT) activation energies ranged from 76.59–59.11, 71.52–52.28, and 72.15–53.07 kJ/mol. Models of machine learning were utilised to predict the degradation of NEPCM samples; these included linear regression, support vector regression, random forests, gaussian process regression, and artificial neural network models. The mass loss of the sample functioned as the output parameter, while the addition of nanoparticles weight fraction, the heating rate, and the temperature functioned as the input parameters. Experiment-based TGA data can be accurately predicted using the created machine learning models.
Sirisha Bhadrakali Ainapurapu, Venkata Anantha Ramasastry Devulapalli, Ram Prabhu Theagarajan, Bharat Kumar Chigilipalli, Ravi Kumar Kottala, and Muralimohan Cheepu
Springer Science and Business Media LLC
Rapeta Sundara Ramam, Satish Pujari, Bharat Kumar Chigilipalli, Bukke Devaraj Naik, Ravi Kumar Kottala, and Venkata Charan Kantumuchu
Springer Science and Business Media LLC
Balasubramanian Karuppudayar Ramaraj and Ravi Kumar Kottala
Informa UK Limited
Abstract The primary purpose of the current work is to develop, fabricate, and characterise a novel composite phase change material for the medium temperature thermal energy storage systems. The proposed composite PCM is made up of a binary eutectic PCM (LiNO3 + NaCl), a supporting material (activated bio char), and thermal conductivity-improving particles (i.e., multi walled carbon nano tubes). XRD, FTIR, and SEM-EDS analysis was used to determine the chemical stability of the composite PCM samples. Using differential scanning calorimetry (DSC), the thermophysical parameters of the composite PCM samples, such as phase transition temperature and latent heat value, are evaluated. With the addition of activated biochar (A-BC) and multiwalled carbon nano tube (MWCNT) particles, the latent heat value of PCM is reduced, and the thermal conductivity enhancement value is increased to 116.11%. The findings demonstrate that employing A-BC and MWCNT nanoparticles ensures the stability of the eutectic chloride and prevents leak. The corrosion rate of the copper, aluminium, stainless steel, and Inconel 617 were determined by immersing it in pure PCM and composite PCM for 12 weeks. The metal specimens that were inserted in the composite PCM were found to have good corrosion stability.
Senthil Kumar Marudaipillai, Balasubramanian Karuppudayar Ramaraj, Ravi Kumar Kottala, and Maheswari Lakshmanan
Informa UK Limited
ABSTRACT Solar Photovoltaic (PV) panels are used for the conversion of solar radiation into electrical energy. The solar radiation increases the photovoltaic cell temperature. The increase in temperature decreases the power output and the efficiency of the solar PV panel. In this study, polyethylene glycol/expanded graphite form stable phase change material (FSPCM) was prepared and used for solar PV panel cooling, since it has a high latent heat of fusion and shape stabilization. This FSPCM maintained the shape and good thermal contact between the panel and phase change material during the process of melting and cooling of the panel. The total thermal management and performance improvement of solar PV panel cooling using polyethylene glycol/expanded graphite form stable phase change material was studied by experimental method. The novel proposed that PV panel performance was compared with the existing air passive cooling method (heat sink). The reduction of panel surface temperature obtained for the heat sink based PV panel and finned composite PCM based PV panel are 9.45°C and 11.5°C, respectively. The overall improved PV panel efficiency for the proposed PV panel is 3.667%, which is higher than the conventional cooling technique (heat sink), i.e. 1.072%. The results indicate that the solar PV panel can be cooled by FSPCM in the temperature range of 35–40°C to increase the power output, efficiency, and life span of the panels.
Ravi Kumar Kottala, Balasubramanian Karuppudayar Ramaraj, Jinshah B S, Muthya Goud Vempally, and Maheswari Lakshmanan
Informa UK Limited
B.S. Jinshah, K.R. Balasubramanian, Ravikumar Kottala, and S. Divakar
Elsevier BV
M. Senthilkumar, K. R. Balasubramanian, Ravi Kumar Kottala, S. P. Sivapirakasam, and L. Maheswari
Springer Science and Business Media LLC
Jinshah B.S., Ravi Kumar Kottala, Balasubramanian K. R., and Abin Francis
Elsevier BV