Computational modeling of transitional flow over NACA-0018 airfoil at low Reynolds Number
The present study presents the computational modeling of transitional flow over NACA-0018 airfoil at low chord Reynolds number of 105 at various angles of attack ranging from 0o to 15o using two-dimensional Reynolds-averaged Navier-Stokes equations (RANS) combined with the Menter’s (γ-〖R ̃e〗_θ) transition model. Two different computational domain configurations were optimized in order to investigate the effect of the wind tunnel walls on the developed flow. The structured mesh technique was used for both domains in order to generate high-quality grids that obtain the turbulence model requirements. The numerically predicted results of the airfoil aerodynamic forces presented in terms of lift and drag coefficients as well as boundary layer predictions including surface pressure distribution, skin friction coefficient, mean velocity profiles, RMS velocity profiles, and the boundary layer displacement thickness were compared to the experimental data. Very good agreement was attained prior to the airfoil stall angle, whereas the agreement became poorer as the airfoil was completely stalled.
Published by: Mohannad Y. Al Orabi, Ahmed M. R. Elbaz, Nabil A. Mahmoud, Ashraf M. Hamed
Author: Mohannad Y. Al Orabi
Paper ID: V6I6-1255
Paper Status: published
Published: December 23, 2020
Integration of particle swarm optimization with an adaptive K-Nearest Neighbor for energy-efficient clustering in MANET
The objective of the proposed work is to increase the lifetime of mobile ad hoc networks. The energy efficiency issue associated with the mobile Adhoc network is the critical factor for the success of any MANET system and hence we aim to develop an energy-efficient MANET system suitable for any kind of real environment. This paper addresses the nodes mobility issue based on a well-known particle swarm optimization (PSO) technique and as well designs a clustering algorithm based on an adaptive k-nearest neighbor algorithm. The cluster formation is achieved by considering a multi-objective fitness function of PSO and extensive experimentation in the simulated networked environment reveals the performance of the proposed method. In mobile Adhoc networks (MANET), optimal energy is one of the critical components and the random movement of mobile nodes within a region of interest made it more complex. The provision to have frequent changes in the topology of mobile nodes in addition to keeping the battery life for a longer duration is much more complex. The standard metrics such as network lifetime, the average number of clusters formed, energy usage, and packet transfer ratio are estimated to exhibit the performance of the proposed method. A comparative analysis is carried out with the recently proposed variant of particle swarm optimization based methods to reveal the accuracy and energy efficiency nature of the proposed method. The novelty of the proposed approach includes the exploration of an optimization algorithm integrating with a clustering strategy to increase the energy efficiency of the MANET thereby increasing the lifetime of the network. The proposed approach exhibit better accuracy and possess energy efficient even under scaled environment.
Published by: Suma R., Dr. C. Siddaraju
Author: Suma R.
Paper ID: V6I6-1248
Paper Status: published
Published: December 23, 2020
Design and fabrication of mono bike
When it comes to self-balancing personal transportation devices, it looks like the Solo wheel, Honda U3X, Uno, and Segway could all be in for a little competition. A monowheel/bike is a one-wheeled single-track vehicle similar to a unicycle. Instead of sitting above the wheel as in a unicycle, the rider sits either within the wheel or next to it. Usually driven by smaller wheels pressing against its inner rim. Most are single-passenger vehicles, though multi-passenger models have been built. The goal of this project is to design, analyze, and build a self-balancing single wheel bike for use as a transportation tool for someone traveling short distances. The project consists of a research phase in which similar systems have been investigated to help determine a sensible design approach and to establish appropriate design specifications; a design phase in which a model was designed with certain assumptions to meet the aforementioned specifications and a construction phase, in which the vehicle was built and tested. Monowheel looks like something out of a science fiction movie, but monowheel is, in fact, real, today, mono wheels are generally built but from the 1860s through to the 1930s, they were proposed for use as serious transportation. The idea may sound extreme, but the science behind monowheels is solid, at present, because of the surging consciousness of pollution and energy shortage crises, automobiles and motorcycles are no longer the best for transportation. As the price of petroleum products growing nowadays, there is a need for a cheaper and more efficient form of transport
Published by: Mohammad Yakub Shareef, Mekapothula Pavan Kalyan, Munja Laxman, Valigonda Deekshith Sai, Nimanagoti Mukesh
Author: Mohammad Yakub Shareef
Paper ID: V6I6-1244
Paper Status: published
Published: December 23, 2020
DNN Design for Object Detection in Airport Runway Operations
In this project, we attempted to solve the problem of object detection in airport runway environments by leveraging DNNs. The DNN model developed will be able to classify objects and also accurately localize objects of different classes. The major aspect here is the task of object detection is going to be considered as a regression problem to object bounding box masks. It would be a multi-scale inference procedure that can generate high-resolution object detection at a minimal cost. Here we were able to test our custom dataset on three object detection models. The models considered were (1) Faster-RCNN with VGG-16, (2) YOLOv3 with darknet53, and (3) SSD Inception V2(coco) from the TensorFlow object detection API. All the above algorithms were trained using the Tensorflow framework. The paper gives a brief comparison in the performance of the above-mentioned algorithms when trained and tested while keeping the main goal to be object detection in airport runways. We trained the YOLOv3 with darknet53 on our custom dataset and were able to obtain the classifier accuracy for the bounding boxes to be 74.00% which was the best of the three algorithms and has outperformed many previous works. The YOLOv3 could be considered a fast training algorithm when the model is trained on a powerful GPU and could play a major role in the field in terms of real-time object detection scenarios.
Published by: Jithin P. Sajeevan, Prajval P., Shourya Mishra, Shwetha G. P.
Author: Jithin P. Sajeevan
Paper ID: V6I6-1241
Paper Status: published
Published: December 23, 2020
Optimum design of a 100-meter high meteorological mast
Meteorological mast (met mast) is a tower-like structure in which wind resource measuring equipment is installed with an objective to estimate the wind power potential of the region of interest. Met mast can be either be a self-supporting tower or guy supported tower. In this study, the analysis and design of guyed steel lattice met mast of 100m height is carried out using STAAD. Pro software. The towers are modeled using base configuration triangular. As stated in IS 800-2007, in addition to the self-weight, the wind forces are predominant on the tower and guy wires. This study focuses on optimizing the met mast using the 'X' bracings, and Static analysis is performed by varying the sections. The usage of 'X' bracing for the structure has resulted in the significant structure's weight reduction. The appropriate levels of guy wire anchoring positions and the optimum guy wire diameter are chosen using preliminary analysis. Towers are modeled using different section shapes viz. tubular section and pipe section, and finally, an optimum section shape has arrived. The towers are analyzed under various load combinations as given in IS 875 (part 3:2015), IEC 61400-12-1 standards, Meanest standards, etc., and designed considering the provisions provided in IS 800-2007. The results are correlated and finally, an optimum design has arrived.
Published by: Hari Bhaskaran Anangapal, R. Vinod Kumar, Dr. Rajesh Katyal, Janani G. J.
Author: Hari Bhaskaran Anangapal
Paper ID: V6I6-1232
Paper Status: published
Published: December 23, 2020
Herbs and copper effect on physical properties of water
The present experiment is to study the effect of Tulasi, kusha, and copper on the Physical properties of water. In the study, commonly growing Tulasi (basil), and dry kusha, and the commercially available copper wire were used. Tulasi, kusha, and copper with a weight of 100 mg, 250 mg, and 500 mg were used. Materials were immersed in the glasses with 100 ml water and conductivity, turbidity, and pH of the water was measured at the time duration of immediate, two hours, four hours, six hours, and 24 hr. The Experiment conducted for five trials with three replications each and a total of 15 numbers. Kruskal-Wallis test was applied to assess changes between groups in all variables. Tulasi and copper decrease conductivity and turbidity of water irrespective of their weight while there was an exponential significant increase of these properties of water by kusha with the direct relation of its weight during all the duration of time. Tulasi, kusha, and copper decrease the pH of water for all the duration of time, and this decreasing trend is more by increasing their weight. Tulasi and copper decrease conductivity and turbidity of water while kusha increases these properties. All these materials decrease the pH of water during all the duration of time and this decreasing trend is more by increasing their weight.
Published by: Itagi Ravi Kumar, R. Ramanujan
Author: Itagi Ravi Kumar
Paper ID: V6I6-1237
Paper Status: published
Published: December 22, 2020
