Design and analysis of aircraft landing gear
The landing gear is a vital structural unit of an aircraft that enables it to take off and land safely on the ground. A variety of landing gear arrangements are used depending on the type and size of an aircraft. Nowadays we can see that majority of failures of aircraft structure take place because of the malfunction of the landing gear system solely. This work is mainly focused on structural design and analysis of the main landing gear for an aircraft, that is economical and possesses a high strength to weight ratio but still simple in design. A typical landing load case will be assumed for which structural analysis will be carried out. During landing, there will be three different types of loads: 1. Vertical load (Compressive Load) 2. Drag load 3. Sideload Drag load and sideload values are terribly tiny in comparison to compressive load. So we will be focusing on the Vertical load. So we have taken the standard landing gear of an aircraft and it is designed by using Solid-works 2019 and analyzed for structural safety using ANSYS 19.2 software. The maximum possible load is given as design load. The landing gear assembly is analyzed for the traditional metallic materials like Aluminium Alloy-AlSI1030 Carbon Steel, Structural Steel IS2062 Fe440, and Titanium Alloy-Ti-8Al-1Mo-1V using ANSYS software and by comparing the results obtained by the mentioned material the best suitable material will be concluded that may be considered as best suitable and safer material.
Published by: Mahesh Ashok Raut, Rohit Thirrupathi Tumma, Shravani Suresh Desai, Satyendra Rajkumar Upadhyay, Prathamesh Preetam Choughule
Author: Mahesh Ashok Raut
Paper ID: V7I2-1437
Paper Status: published
Published: April 28, 2021
Brain tumor detection and classification using convolutional neural network
Brain tumors can cause cancer if not detected and diagnosed at early stages. Currently, Brain tumor detection and classification is done by performing Biopsy which is a very time-consuming process. Improvement in technology and Machine learning algorithms can help radiologists in tumor diagnostics in less time and effort. We propose a model that would first segment the MR image and identify the presence of tumor in the brain and if detected then a deep learning-based CNN architecture that would classify the tumors in MRI images into Benign and Malignant tumors and act as a strong base for the staff to decide the curing procedure. The development of the model will be divided into training and testing phases and would be tested using multiple databases and different methods. Having achieved high accuracy, reliability, and execution speed, the developed CNN architecture would act as a strong decision-supportive tool in medical diagnostics for radiologists.
Published by: Darshan Bhamare, Vijay Sawale, Vinay Gupta, Ajay Ghosade
Author: Darshan Bhamare
Paper ID: V7I2-1496
Paper Status: published
Published: April 28, 2021
Employee attrition prediction using machine learning
Nowadays, Employee Attrition Prediction becomes a major problem in organizations. Employee Attrition is a big issue for organizations especially when trained, technical and key employees leave for a better opportunity from the organization. This results in financial loss to replace a trained employee. Therefore, we use the current and past employee data to analyze the data for employee attrition. For the prevention of employee attrition, we applied a well-known classification method named the Random Forest method on Kaggle’s data set. For this, we implement a feature selection method on the data and analyze the results to prevent employee attrition. This is helpful to companies to predict employee attrition, and also helpful to their economic growth by reducing their human resource cost.
Published by: K. Shirisha, Gousiya Begum
Author: K. Shirisha
Paper ID: V7I2-1471
Paper Status: published
Published: April 27, 2021
Study of the impact of mesh size for static structural analysis of motorcycle wheel
Mesh size has a significant effect on finite element analysis of Motorcycle Wheel. The purpose of this study is to analyze those effects in detail and study their impacts on the results of static structural analysis of the Motorcycle Wheel. The importance of the wheel in the automobile is obvious. The vehicle may be towed without the engine but at the same time, even that is also not possible without the wheels, the wheels along the tire have to carry the vehicle load, provide a cushioning effect and cope with the steering control. Generally, wheel spokes are the supports consisting of a radial member of a wheel joining the hub to the rim. The most commonly used materials for making Wheel spokes are with features of excellent lightness, thermal conductivity, corrosion resistance, characteristics of casting, low temperature, high damping property, machine processing, and recycling, etc. This metal's main advantage is reduced weight, high accuracy, and design choices of the wheel. This metal is useful for energy conservation because it is possible to recycle. Spokes make vehicles look great but at the same time, they require attention in maintenance.
Published by: Nandan Sainath Mukkawar
Author: Nandan Sainath Mukkawar
Paper ID: V7I2-1509
Paper Status: published
Published: April 27, 2021
How can the Houthi ethnic supremacy beliefs undermine the social and political stability in Yemen?
As the breaking out of the war in Yemen occurred because of the coup made by the Saleh-Houthi alliance in 2014, the world began to show more attention to Houthis as a Zaydi religious group. But, in order to understand Houthis in-depth, it is quite important to study its historical, social, and religious roots, try to decode its complexities. This paper aims to analyze historically Houthis in its anthropological roots of Zaydi-Hashimism. The paper also studies the ethnic superiority in the Houthi' beliefs using the theoretical frame of ethnocentrism. As well as it examines if these beliefs contribute to the Yemeni social and political instability since the first Jarudian Zaydi state has been established in Yemen thousand years ago. In addition to that, the paper studies the new phenomenon of Aqyal as an anti-Hashemite movement, and if it is an extension of the national liberation movements that struggled against Imamate in the past. It examines if the Aqyal as a national movement can increase its popularity in the future.
Published by: Hesham Alziady
Author: Hesham Alziady
Paper ID: V7I2-1433
Paper Status: published
Published: April 26, 2021
Paper battery: An ecofriendly solution
The Major disadvantage of lithium-ion batteries is they are toxic and also produce E-waste which affects the environment. The release of such chemicals through leaching spills or air emissions can harm communities, the ecosystem, and food production. Besides, lithium extraction hurts the dirt and causes air tainting. According to the Environmental Protection Agency (EPA), the US alone throws away more than three billion batteries each year, above information give the idea of how important to find the replacement of toxic lithium-ion batteries by non-toxic batteries, i.e. Paper battery. Also, they are occupied more space as compare to paper batteries. The weight of traditional lithium-ion batteries is more than paper batteries. Our paper gives a brief idea of the replacement of toxic lithium-ion batteries with eco-friendly paper batteries. A paper battery is an adaptable, super slim energy stockpiling and creation gadget shaped by joining carbon nanotubes with a customary sheet of cellulose-based paper. Being Biodegradable, Lightweight, and Non-poisonous, adaptable paper batteries have expected versatility to power the up-and-coming age of hardware, clinical gadgets, and mixture vehicles, considering revolutionary new plans and clinical advances.
Published by: Abhijit S. Shinde, Sourabh Sanjay Vathare, Sourabh Shivaji Gaikwad, Arshiya Iqbal Sanade
Author: Abhijit S. Shinde
Paper ID: V7I2-1490
Paper Status: published
Published: April 26, 2021
