Team Projects

800 Mine Project

The project focuses on researching and optimising latency within a large-scale hyperloop network. It involves studying data communication delays in microcontrollers, particularly when multiple microcontrollers are connected in series or parallel, and identifying other potential latency issues. The objective is to understand the impact of latency on system reliability and communication efficiency in hyperloop operations. Additionally, efforts are being made to improve communication between subsystems and develop a low-latency communication protocol to enhance overall system performance.

Hyperloop Risk Analytics and Scheduler

The Risk Analysis Model focuses on computational analysis, prediction, and mitigation of risks associated with the hyperloop network. It involves identifying potential hazards and system vulnerabilities under dynamic operating conditions. By implementing predictive algorithms, the project aims to enhance safety, efficiency, and reliability within the hyperloop ecosystem, ensuring robust and secure operations.

Magnetic and Superconducting Materials Science Project

The (MS)2 Magnetic Superconducting Material Science project focuses on researching, developing, and optimising advanced materials and methodologies to achieve high efficiency in hyperloop subsystems. It explores how magnetic and superconducting materials can be integrated into levitation systems to enhance stability, energy efficiency, and overall performance. The project aims to push the boundaries of material science for more effective and sustainable hyperloop operations.

Energy Augmentation Project (Retro fitment)

This project explores how energy resources can be leveraged to power hyperloop stations and pods efficiently. It focuses on retrofitting systems to harness various energy sources, ultimately converting them into electrical energy for operational needs.

Hyperloop Network Project

The primary objective of this project is to leverage High-Performance Computing (HPC) and extensive data analytics to design an optimized Hyperloop network route and socioeconomic model for India. This includes analyzing several terabytes of data to identify ideal routes, forecast transportation demands, and assess the economic, social, and environmental impact of the network. The project aims to facilitate seamless trade, transport, and logistics corridors, driving regional development and enhancing connectivity across urban and rural hubs.

Vacuum Heat Dissipation Project

To design and implement an advanced thermal management system for Hyperloop's near-vacuum environment, ensuring effective heat dissipation to maintain optimal operating temperatures and improve energy efficiency. The project aims to address the unique thermal challenges posed by vacuum conditions, enhancing system performance, safety, and sustainability.