mohit bhandwal
@amity.uz
assistant professor, department of IT and Engineering
Amity university in Tashkent
RESEARCH, TEACHING, or OTHER INTERESTS
Energy, Mechanical Engineering, Pollution, Modeling and Simulation
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Naina Chaudhary, Gurinder Singh, Danish Ather, Rajneesh Kler, and Mohit Bhandwal
IEEE
An Arduino-based monitoring system for precision agriculture in sugarcane production is proposed in the present study, with fields in Uttar Pradesh, India serving as a case study. A precision agriculture-specific monitoring system based on Arduino enables small-scale farmers to maximize crop growth and sustainability. This economically viable solution places emphasis on critical environmental variables such as soil moisture, temperature, and sunlight, delivering up-to-date information that facilitates proactive management. Through water conservation and adaptation to shifting weather patterns, agricultural practitioners enhance the resilience of their crops and establish a foundation for subsequent research that establishes a correlation between climate and the well-being of crops. This project illuminates the profound impact that the Internet of Things (IoT) can have on the agricultural sector, offering the potential for substantially increased productivity and improved environmental sustainability. The organization advocates for technological equity, with the dual objective of facilitating innovation in developing areas and enabling farmers to assume responsibility for a more resilient agricultural future.
Manik Arora, Naina Chaudhary, Mohit Bhandwal, Tanveer Baig, and Pratap Patil
IEEE
The tourism sector in Uzbekistan, an ancient Silk Road hub replete with historical landmarks and rich cultural traditions, is primed for transformation through Artificial Intelligence (AI). This paper presents an in-depth analysis of the applications and implications of AI-driven personalized travel planning focused specifically on enhancing the overall tourism experience in Uzbekistan. Drawing from existing AI models and a comprehensive understanding of Uzbekistan's unique travel offerings, a bespoke framework is introduced. This framework integrates travel choices, historical data, and real-time local context to craft customized itineraries for tourists. This research demonstrates that AI-driven approaches not only streamline travel processes but also amplify cultural immersion and appreciation.
Pratap Patil, Naina Chaudhary, Sujit Prasad, Mohit Bhandwal, Manik Arora, and Gurinder Singh
IEEE
This paper aims to explore the effectiveness of JFLAP as a pedagogical tool for automata theory and its impact on student performance. We implement machine learning algorithms to predict and analyze the improvement in students' understanding and performance, utilizing data gathered from exercises, simulations, and assessments conducted within the JFLAP environment. The objective is to identify the correlation between the use of interactive learning tools and enhancement in conceptual grasp, problem-solving skills, and academic performance. We will adopt a comprehensive approach, employing both qualitative and quantitative methods to glean insights into the multifaceted impacts of JFLAP on student learning outcomes. The quantitative data, derived from scores, completion times, and progress tracking within the JFLAP system, will be supplemented by qualitative data sourced from surveys, interviews, and observational studies. This blend of data types will facilitate a nuanced understanding of not just the measurable improvement in academic performance, but also the subtle yet significant enhancements in students' cognitive abilities, engagement levels, and overall interest in automata theory. Furthermore, the integration of machine learning models will enable us to identify patterns and trends, providing predictive insights and personalized recommendations to foster a more tailored and effective learning experience for each student.
Mohit Bhandwal, Naina Chaudhary, Manik Arora, Pratap Paraji Patil, and Nitin Kumar Gupta
IEEE
Robotic engineers have been using nature as a role model to develop new machines and motion systems. In this research design and develop of a robot that mimics a Rock Dove Pigeon. This robot is helpful for surveillance and spying purposes. It can be sent to places where human interaction is not possible or places that are hazardous. This robot uses a linkage mechanism to make the flapping motion to generate lift. Dynamic analysis of the mechanism is done. Adams model of this robot is made, and the optimization of this device is done. Aerofoil shape is obtained using MATLAB, and then the CFD analysis is done using ANSYS software and the AEROFOIL 3.0 software. The lift coefficient and a drag coefficient calculated as 0.353 and 0.0067 respectively at zero angles of attack.
Mohit Bhandwal and R.K. Tyagi
Elsevier BV
Mohit Bhandwal, , Tyagi R K, and
Elsevier BV
Pollution is the biggest problem in today’s world. Cars are the primary source of air pollution. They emit harmful gasses into the environment like HC, NO, and CO with hazardous health effects. To reduce the pollution cars are assembled with catalytic converter which works on chemical reactions. Due to the continuous use or gasket oil leak, the efficiency of the catalytic converter decreases. The aim of this research is to clean the catalytic converter using different fluid compounds (gaseous elemental compound, Acidic, Alkaline and Water based). For pressurized cleaning, an automatic system was developed which can be fitted before the catalytic converter. The phase change material (PCM) is used to maintain the temperature after the shut of engine which reduces the cold start time. Experimental setup is fabricated, and comparative study was done. Based on the experimental results it was observed that the best performance is obtained when the converter is cleaned with the acidic compound. After continuous use of acidic compound, the catalytic converter gets eroded, so only air and water should be used for pressurized cleaning. Furthermore, the decrease in the level of NO, CO, and HC by 16%, 54%, and 83% respectively was observed during the cold start time. The time was reduced for the cold start from 150 seconds to 75 seconds using the PCM material.
Mohit Bhandwal and R. K. Tyagi
Springer Nature Singapore
F. M. Matmurodov, Basant Singh Sikarwar, and Mohit Bhandwal
Springer Singapore
Rahul Gupta, Manjula Shastri, Amit K. Pandey, and Mohit Bhandwal
Springer Singapore
Mohit Bhandwal, Amritanshu Verma, and Basant Singh Sikarwar
IOP Publishing
Abstract In this work, experiment is carried out for melting process of paraffin wax dispersed with high conductive nano-fillers such as Carbon Nanotube (CNT) and ZnO. In addition, a simple, economically viable, easy operating experimental setup is proposed to measure the thermal conductivity of altered PCMs. In this setup, the sample is placed in an insulated transparent cavity and its one end maintained at constant temperature. However, other ends are adiabatic. Temperature at four specific location of melting paraffin in the cavity are measured by T-type thermocouples. The digital camera is used to capture the instantaneous images of the moving thermal front of melting at various time steps. ImageJ® is used to know velocity of the melting front of PCMs from captured images. Based on energy balance, a mathematical expression for estimating the conductivity of the altered PCMs is derived. The measurement of proposed device is compared with commercial thermal conductivity measuring device and data available in the literature. The obtained results have 95% confidence level against the commercial device results and literature results. Post-calibration, experimental study of pure paraffin and altered paraffin wax are carried to know insights of Spatio-temporal energy storing in form of latent heat. This research is useful for design the heat sink for thermal energy management of pulsating heating generating device.
Prem Pal, Priyanka Sharma, Ajay Sharma, and Mohit Bhandwal
Springer Singapore
Tanmay Agrawal, Vivek Kumar Banerjee, Basant Singh Sikarwar, and Mohit Bhandwal
Springer Singapore
Vivek Kumar Banerjee, Tanmay Agrawal, Basant Singh Sikarwar, and Mohit Bhandwal
Springer Singapore
Priyanka Sharma, Prem Pal, Ashutosh Mishra, Mohit Bhandwal, and Ajay Sharma
Springer Singapore
Mohit Bhandwal, R. Tyagi and B. Sikarwar
International Digital Organization for Scientific Information (IDOSI)
In this manuscript, the experimental setup was designed and fabricated for optimizing the parameters of a catalytic converter of INDICA V2 exhaust system. Three turbulence intensify devices, namely Swirl Venturi, Swirl Blades and Swirl Contour, were close-fitted before the catalytic converter. The heating element is embedded in its body and thermocouples are used for knowing the performance at various temperature. The experiments were carried out with and without devices also with and without heating of catalytic converter. The emission was characterized by various engine speed. The results showed that catalytic converter effectiveness and efficiency increases when close-fitted the devices before the catalytic converter with heating. Among these devices, Swirl Blades was more effective and it reduces the CO and HC emission by 33.86%, and by 30.56% respectively. Flow Simulation of these devices was carried out using finite volume method. The obtained simulation shows that transport coefficient of catalytic converter enhances using these devices because of high turbulence intensity at the inlet of the catalytic converter. This research concluded that the heating of the catalytic converter and using the Swirl Blades device before it reduces the air pollution significantly of diesel engine motor vehicle.
Mohit Bhandwal, Manthan Kumar, Manish Sharma, Utkarsh Srivastava, Anmol Verma, and R. K. Tyagi
Informa UK Limited
ABSTRACT This research focuses on reducing the toxic emissions from the exhaust by installing a turbulence enhancement unit just before the three-way catalytic converter. This unit creates turbulence in the gases flowing through the combustion chamber when fitted with the Tata Indica V2 diesel engine (1405cc). Turbulence leads to the rising in the contact area of the exhaust gases going to the catalytic converter for the reactions to take place. Experimentally, it was found that swirl venturi gives the best results in the overall emission test. Although the overall best device is swirl venturi, swirl blades also give better results on higher rpm of the engine. This paper shows the detailed research on the emission test performed.
Mukesh Roy, Basant Singh Sikarwar, Mohit Bhandwal, and Priya Ranjan
Elsevier BV