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Research Paper

Thermal analysis of brake drum

Excessive thermal stresses can cause undesirable effects on the material of the brake drum. Which leads to the initiation of a crack. This paper gives the basic idea to analyze thermal stress and thermal expansion in a brake drum of a heavy commercial truck due to temperature distribution in severe braking conditions. The analysis is done using the finite element approach in ANSYS software by stimulating temperature distribution and the thermal stress distribution within brake drum material. The evaluation of simulation results will help in prediction and contribute toward improving the design, modeling, and analysis techniques for the integrity of the thermo-mechanical systems that subjected to high temperatures.

Published by: Ketaki Rajendra Pathak

Author: Ketaki Rajendra Pathak

Paper ID: V7I2-1424

Paper Status: published

Published: April 20, 2021

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Research Paper

Proof of P=NP

The aim of this work is to find subsets of an array whose sum is K in polynomial time and hence to provide proof of P=NP

Published by: Sanket Kulkarni

Author: Sanket Kulkarni

Paper ID: V7I2-1406

Paper Status: published

Published: April 20, 2021

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Research Paper

A novel machine learning approach with low-dose computerized tomography (CT) and magnetic resonance imaging (MRI) optimization for the early diagnosis of prostate cancer

According to the American Cancer Society, prostate cancer is the second most common cancer and the second leading cause of cancer death among men in the United States. Without an early diagnosis, the chances of related complications such as Lymphoedema, Metastatic Spinal Cord Compression (MSCC), and Hypercalcaemia increase by almost threefold. However, current diagnosis tools are time-consuming, extremely invasive, and result in low accuracy with about an 89 percent false-positive rate. The objective of this study is to provide a non-invasive early diagnosis of prostate cancer by rapidly converting low-dose radiation computed tomography (CT) and magnetic resonance imaging (MRI) scans into superior quality scans. Thus, reducing radiation exposure and increasing the efficiency of diagnosis. The project consisted of developing three main sectors: denoising, generation, and classification. The denoising sector consisted of an AutoEncoder and a CNN (Convolutional Neural Network). Due to limited training data available, a GAN (Generative Adversarial Network) was used to reliably generate more training data, prioritizing the overall efficiency. The GAN was trained on a small portion of the main dataset and drastically optimized the performance of the overall model. The final classification sector consisted of a DCNN (Deep Convolutional Neural Network) for the diagnosis. Overall, these steps resulted in an algorithm that can diagnose prostate cancer with an accuracy rate above 85% all in an accessible and scalable platform, which is a profound improvement over current methods.

Published by: Pritivi Rajkumar

Author: Pritivi Rajkumar

Paper ID: V7I2-1403

Paper Status: published

Published: April 20, 2021

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Review Paper

A review on the utilization of textile waste to manufacturing bricks

The textile industry is one of the oldest and largest sectors in India. As the industrial growths increasing day by day, waste generation also increases day by day. There is a need to figure out a different way to use textile waste. Waste resulting from textile industries creates the problem of disposal. Moreover, dewatered waste is usually disposed of by spreading it on the ground or filling it in the land. Landfilling, on the other hand, might not be an effective waste disposal method in highly urbanized cities due to land scarcity. This paper demonstrates that textile waste can be used to make bricks with a proportionate mix and design.

Published by: Miti Shailesh Patel, Priyanka S. Patel

Author: Miti Shailesh Patel

Paper ID: V7I2-1366

Paper Status: published

Published: April 20, 2021

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Review Paper

A review on the role of packaging: materials and methods involved in the process of food preservation

Food packaging is an essential part of the food processing industry. It surrounds, enhances, and helps in the protection of the food product from processing till it reaches the consumer. The packaging sector currently represents 2% of the gross national product in developed countries. Efficient food packaging methods such as vacuum, modified atmosphere, and active packaging helps in preventing deterioration. Oxygen scavengers, carbon dioxide absorbers, moisture-controlling agents prevent oxidative reactions and excess moisture in the food and extend the shelf life of the product. The choice of packaging material such as glass, plastic, paper, cardboard, and metals will determine changes that occur in food products and the degree of protection depends on water vapor and oxygen transmission rates. It is necessary to test the packaging materials with respect to thickness, grease resistance, gas transmission rate to ensure the safety and efficacy of the product. In order to safeguard the interest of consumer; the government has introduced packaging laws and guidelines such as PFA Act (1954) that is to be followed by food processing industries. The historical development of packaging has led to the discovery of novel packaging methods which help in long time preservation of food products. Novel packaging systems include the use of IOSP, TTI, and antimicrobial packaging uses sensors to detect and inform the stakeholders about spoilage or temperature-time-based changes in the food products in order to implement necessary action. Additional efforts are essential for promoting environmental sustainability, and to overcome problems like the high costs associated with these packaging methods.

Published by: Madhumita Ayyagari, R. Abhiram Pooja, Shravani Joshi, Kummari Swathi

Author: Madhumita Ayyagari

Paper ID: V7I2-1414

Paper Status: published

Published: April 19, 2021

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Research Paper

Thermal analysis of ventilated and drilled disc brake

In the recent automotive industry, a braking system is considered to be very important in terms of the safety of the driver. FEA is a basic simulation of a physical component and is used for performing mechanical analysis. FEA is very essential before the production of any component of a vehicle. In this paper, a ventilated and drilled type of disc brake is taken as the component which has been thermally analyzed. This thermal analysis is done with the use of Ansys Workbench 2020 R1 and the component is modeled using the SolidWorks software. In this paper, a brief idea about the effect of different meshing sizes as well as the type of meshing using finite element analysis is considered and consequently, the thermal analysis of the same has been calculated. The results obtained illustrate the effect of the difference in mesh size and the type and how it plays an important role in the analysis of any component.

Published by: Atharva Mahindrakar, Atul Kulkarni

Author: Atharva Mahindrakar

Paper ID: V7I2-1418

Paper Status: published

Published: April 19, 2021

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