Comparative Investigation of Aerodynamic Effects on Geometrically Twisted Wing using CFD
Authors:- Moaz Hussain
Abstract:- The main intent of this work is to simulate the aerodynamic effects on different configuration of commercial and delta wing at different angle of twist. This investigation aims to suggest a better aerodynamic configuration for wing to reduce the induced drag formed on wing during flight operation and in-turn improves the efficiency of the UAV. Simulation processes of computational fluid dynamic (CFD) on wing models for medium size high speed UAV, using typical section as NACA 2412 airfoil is been carried out at 1⁰, 2⁰ and 4⁰ twist angle. The twist is provided to adjust pressure distribution henceforth lift distribution along the wing. ANSYS Fluent is used to analyze the pressure distribution on the surface of wing at speed of 0.6 Mach. The lift and drag forces are also determined which were used for calculating the coefficients of lift and drag. The obtained results were used to establish a comparison between aerodynamic performances of all provided models.
Optimization of ART and DC for Scalable MANET
Authors:- M.Tech. Student Nisha Kaithwas, Asst. Prof.Dr.Mehajabeen Fatima, Asst. Prof. Nitesh Kumar
Abstract:- Now days, Ad-hoc network play an important role in our daily lives because of their extensive capability of uses in various fields. Mobile Ad-hoc Networks (MANETs) are very popular network with large number of users and due to development of large scale ad-hoc network; scalability has been one of the issue we need to concentrate. MANETs has a various types of routing protocols. One of the popular routing protocols is AODV (Ad-hoc On-demand Distance Vector) which provide route for communication between nodes. Route maintenance parameters such as ART (Active Route Timeout) and DC (Delete Period Constant) are stores in routing table of nodes. This paper is optimized the value of ART and DC for scalable MANET.
Survey of Force Convection Nanofluid Heat Transfer in The Automotive Cooling System
Authors:- M.Tech. Scholar Subhash Chandra Sah, Asst. Prof. Suresh Kumar Badholiya, Prof. Rohit Choudhary
Abstract:- Now days, Ad-hoc network play an important role in our daily lives because of their extensive capability of uses in various fields. Mobile Ad-hoc Networks (MANETs) are very popular network with large number of users and due to development of large scale ad-hoc network; scalability has been one of the issue we need to concentrate.A wide variety of industrial processes involve the transfer of heat energy. Throughout any industrial facility, heat must be added, removed, or moved from one process stream to another and it has become a major task for industrial necessity. Heat transfer performance of liquids is limited by their low thermo-physical properties compared with those of solids. The primary reason behind adding solid particles less type of fluid is called a Nano fluid. Dispersing solid metallic or non-metallic materials in a base fluid (liquid), such as water, ethylene glycol or glycerol, has become an interesting topic.
Study of Force Convection Nanofluid Heat Transfer in The Automotive Cooling System
Authors:- M.Tech. Scholar Subhash Chandra Sah, Asst. Prof. Suresh Kumar Badholiya, Prof. Rohit Choudhary
Abstract:- The results revealed that the nano fluid (Ag/HEG) with highest concentration of volume 4% has the highest friction factor at all Reynolds numbers. This solution provides promising ways for engineers to develop highly compact heat exchangers and automobile radiators. When adding nano particles to the base fluid, such as water, the potential enhancement of car engine cooling rates could entail more engine heat being removed or a reduction in size of the cooling system. Smaller cooling systems would lead to smaller and lighter radiators, which would benefit almost every aspect of car performance and increase fuel economy.
Secured University Result System using Block Chain Features
Authors:- Patel Zeel Vijaybhai, Golait Shubham Nitin, Birendra Pratap Singh, Prof. S. B. Ahire
Abstract:- Building a system for security of university results that satisfies the transparency of results has been a challenge for a long time. Distributed ledger technologies are an exciting technological advancement in the information technology world. Block chain technologies offer an infinite range of applications benefiting from sharing economies. This paper aims to evaluate the application of block chain as service to implement distributed database systems. The paper felicitates the requirements of building secure system and identifies the technological limitations of using block chain as a service for realizing such systems. The paper starts by evaluating some of the popular block chain frameworks that offer block chain as a service. We then propose a novel database system currently used by universities based on block chain that addresses all limitations we discovered. More generally this paper evaluates the potential of distributed ledger technologies through the description of a case study, namely the process of an election and implementing a block chain-based application which improves the security and decreases the cost of hosting a worldwide application for universities.
A Review on Thermal Performance Analysis of Steam Surface Condenser
Authors:- M.Tech. Scholar Kamlesh Amrute, Prof. Brijendra Kumar Yadav
Abstract:- The steam condenser is one of the important components in a power plant which significantly affect the power generation and performance of unit in terms of heat rate. Deterioration in thermal performance of condenser not only affects the power generation but also thermal performance of unit as a whole. The parameters that are responsible for condenser thermal performance are cooling water (CW) mass flow rate, temperature, heat transfer area, velocity, tube fouling, partially filled water box and air leakage.CW flow rate and condenser pressure changes according to the variation in unit load. The CW temperature at condenser inlet varies according to change in annual temperature cycle of the intake system. During operating condition, the condenser performance is subject to change with variation in exhaust steam and CW parameters. The operating conditions of steam surface condenser are of the great influence on the power generation and the turbine cycle heat rate. At the same time, the operating conditions of the CW system determine the operating condition of the condenser.
Digital Transactions Through BTC
Authors:- Rhytham Negi, Paramjeet Singh, Prof. Latika Kharb
Abstract:- Bitcoin is a digital currency like other digital currency, virtual currency, or electronic money which use to transact the amount (Digital currency) from one person to another. Bitcoin is a peer to peer payment system developed by “Satoshi Nakamoto” in the year 2009. Bitcoin is the decentralized currency, which means there is no middle organization or company keep the log of the transactions. According to the google.com, the current rate 1 BTC is 7,77,671.14 (INR) at time of (September,3,2019 08:27 PM). In the paper, before starting anything about the bitcoin, we need to know that “What the bitcoins are and how they come in existence?”. Then we will study how digital transactions can be done through bitcoin.
A Review on CFD Analysis of Effects of Convergence and Divergence Angles on the Performance of a Nozzle
Authors:- M.Tech. Scholar Vishwajeet Yadav, Prof. Pawan Kumar Tiwari
Abstract:- The convergent – divergent nozzle is the most common type used in rocketry and it works by converting pressure energy from the fuel flow and heat energy from the combustion of fuel into kinetic energy in the form of high exhaust velocity. In the converging section of a rocket nozzle, the exhaust is travelling at relatively low speed (sub-sonic) and it becomes sonic at throat. The compressible exhaust increases until it reaches the exit and it is supersonic in the divergent section. Size and shape of a rocket nozzle is also very important. the converging section starts at the combustion chamber is usually shaped in a way to make sure that flow is not disrupted in any way i.e., the convergence is not too steep and has no harsh edges. Therefore in this paper a review will be done based on research work conducted by scholars.
Traditional Properties Analysis in High Strength Cement Concrete with Intermediate Replacements of Brickbats Powder, Clay Mineral and Calcite in Concrete
Authors:- M. Tech. Scholar- Koritipati Murali, Asst. Prof.M.Venkata Narasaiah, Asst. Prof. L.Gopi Chand
Abstract:- The processing of plain and reinforced cement concrete and utilizing it is sustainable concrete has become an important requirement in the construction industry. To improve environmental properties, several of supplementary cementing and pozzolonic materials are introduced and they are partial replacement of cement in the concrete. In this work we are using blending of three useful materials in this work namely brick bats grind powder, calcite is nothing but marble powder and important mineral of clay that is meta kaolin as partially replacing with cement. The adopted materials are very cheap in nature easily available in construction market using cementing materials are very prone to environment in these days. This dissertation reports the results of fresh and hardened properties of the concrete with partial replacement of these materials, at contrast percentages at different curing periods, various traditional methods and tests are conducted on concrete in fresh stage and hardened stage. Based on the previous citations we expected to get positive results from these partials replacements.
A Comparative Study of Physical and Mechanical Properties of Glass Fiber /Polyester Composite Materials with Natural Fillers
Authors:- M.Tech. Scholar Aamir Gaur, Prof. Amit Kr. Tanwar, Prof. Pankaj Singh
Abstract:- Now-a-days, the natural fibers and fillers from renewable natural resources offer the potential to act as a reinforcing material for polymer composites alternative to the use of glass, carbon and other man-made fibers. Among various natural fibers and fillers like banana, wheat straw, rice husk, wood powder, sisal, jute, hemp etc. are the most widely used natural fibers and fillers due to its advantages like easy availability, low density, low production cost and satisfactory mechanical properties. For a composite material, its mechanical, physical, wear and water absorption behaviour depends on many factors such as fiber content, orientation, types, length etc. Attempts have been made in this research work to study the effect of different natural fillers loading on the physical, mechanical, wear and water absorption behaviour of glass fiber/natural fillers reinforced polyester based hybrid composites. A hybrid composite is a combination of two or more different types of fibre in which one type of fibre balance the deficiency of another fibre or filler. Composites of various compositions with four different fillers loading (5 wt%, 10wt% and 15wt%) and glass fiber loading is constant (20 wt%) with constant matrix material (polyester resin) are fabricated using simple hand lay-up technique. Different natural fillers which used in present research work are chopped banana, rice husk, wheat straw, and wood powder fillers. It has been observed that there is a significant effect of filler loading on the performance of glass fiber/natural fillers reinforced polyester based hybrid composites. TOPSIS a multi-criteria decision making approach is also used to select the best alternative from a set of alternatives.
Deep Reinforcement Learning and Image Processing for AdaptiveTraffic Signal Control
Authors:- Prof. Jameer Kotwal, Harshal Thakare, Dhanashri Wani, Dhiraj Sangale, Abhijeet Walunj
Abstract:- In this paper, a traffic control system is build which can easily keep traffic in control using image processing techniques and deep reinforcement learning is presented. In this method, a camera is used in each stage of the traffic light in order to capture the roads where traffic is bound to occur. Number of vehicles in these images is calculated using image processing tools and different timings are allocated according to the count and based on the model trained using deep reinforcement learning along with a green signal for vehicles to pass. In this paper, we implement an intelligent traffic model that controls the amount of time a for which light runs green, based on the density of cars standing.