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Souvick Chakraborty1, Debali Chatterjee2, Satyajit Roy3NULL

Design and Fabrication of Auto Feed Drilling Machine

[Vol. 05 (01), December, 2024, pp. 32-36]

In order to increase productivity and automate processes, the majority of industries today are working to improve their production processes and the necessary technology. These kinds of activities, which are most commonly employed in both small- and large-scale enterprises, include drilling, taping, boring, etc. The majority of industries still rely on manual tapping, drilling, and boring techniques. This traditional approach requires a lot of labor, takes a long time, is less accurate, and ultimately produces less output. Therefore, there is room to design a machine for a variety of operations that would solve every issue the traditional method faces. Therefore, we are going to create a portable auto feed device that requires less human intervention to operate than a hand drill because it runs on compressed air.

Sohini Samai1, Soumyadip Das2, Prakash De3, Amrit Singh4

Health Monitoring of Concrete Structure with Nondestructive Testing using ANN Technique

[Vol. 05 (01), December, 2024, pp. 42-46]

The prediction of concrete compressive strength using Non-Destructive Testing (NDT) methods, such as the Rebound Hammer Test, has become increasingly popular in the construction industry due to their efficiency and non-invasive nature for Structural Health Monitoring (SHM) However, the accuracy of these traditional methods remains a concern, due to the higher percentage of error in the prediction of strength of concrete structures. This study proposes the application of Artificial Neural Networks (ANN) to enhance the accuracy of concrete strength predictions based on rebound hammer data. Using a dataset of Rebound Hammer Test samples, which is the rebound number, an ANN model was developed, trained, and validated. The results demonstrate a significant improvement, reducing the Mean Absolute Percentage Error (MAPE) to 8.27%. This research highlights the potential of ANNs in improving the reliability of NDT methods and recommends further exploration of artificial intelligence techniques for enhanced prediction accuracy in structural health assessments.

Satyajit Roy1, Sabir Ansari2, Souvick Chakraborty3

Application of Solar Energy in India

[Vol. 05 (01), December, 2024, pp. 47-50]

The term "solar energy" describes the radiant energy that the sun emits, which may be captured and transformed into useful forms of power like heat or electricity. Because of its sustainability and abundance, this renewable energy source is a major priority in the fight against climate change and the decrease in dependency on fossil fuels. Solar energy has emerged as a pivotal player in the global energy landscape, offering sustainable solutions to address both environmental challenges and energy security concerns. This paper provides an in-depth exploration of solar energy, including its technological advancements, economic impacts, policy frameworks, and prospects.

Tanmoy Mondal1, Dibyendu Bhowmik 2

The Impact on High Strength Concrete Properties using Curing Methods

[Vol. 05 (01), December, 2024, pp. 56-62]

Curing significantly impacts concrete properties, especially durability, by influencing the hydration of cement. Advances in curing technologies and the introduction of various chemical compounds have greatly improved concrete performance. Self-curing agents are particularly effective in dry climates. This paper focuses on evaluating the efficiency of various curing methods typically employed in the construction sector.

Sourav Dey1, Chiradip Pal2, Suhadip Halder3

Overview of Free Energy Generator and It s Application

[Vol. 05 (01), December, 2024, pp. 63-65]

Over 90% of the world's power is generated using electromagnets based on Faraday's law of electromagnetic induction. Throughout the years, various new technologies have emerged, significantly changing our understanding of electric energy. However, there remains a misconception about "free energy." Energy becomes "free" only after the initial costs of power generation are covered. In our approach, we utilize the magnetic forces of neodymium magnets, which have a capacity of 1-1.4 T. These disc-shaped magnets are arranged so that all north or south poles face the same direction, creating a repelling force between like poles that causes movement in the fins of a fan. This motion generates continuous energy. We have installed this free energy generator on two-wheelers, using the power generated to charge mobile batteries. Our initial positive results encourage us to develop an improved model for energy storage and explore various applications for this "free energy." In this research paper, we discuss our findings with magnets and highlight the motivating results that push us to examine existing research to create a more effective prototype for broader applications.