Open-Source Conceptual Sizing Models for the Hyperloop Passenger Pod

Chin, Jeffrey; Gray, Justin S.

doi:10.2514/6.2015-1587

Cited by 47 publications

(46 citation statements)

References 4 publications

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“…Firstly, a direct relation between the tube cross sectional area and the pod travel speed was found, the tube size to be to be approximately twice the diameter of the original specification and calculation for the pod to reach the desired speed or value. Secondly in addition to this, the steady-state tube temperature is independent of the heat generated by the pod compression system and is dominated by ambient thermal interactions [4]. Mark Sakowski (2016) demonstrated that not only evaluation of the current maglev but also evacuated tube technology and concluded that Hyperloop is feasible if properly designed.…”

Section: Fig 1 Hyperloop Capsule and Tube Mounted On Pillarsmentioning

confidence: 99%

Hyperloop: Advance Mode of Transportation System and Optimize Solution on Traffic Congestion

Kale¹

2019

IJRASET

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Globalization is a main factor behind increasing use of transportation. Every country is facing problem of transportation. Tom-Tom is leading Dutch company, manufacturer of traffic and mapping products. After surveyed as many 390 cities, in 48 countries and six continents the results were found that some countries like Mexico, Thailand, Indonesia, China and Romania facing a huge transportation problem. Some cities of India like Mumbai, Pune, Kolkata, Bangalore and Delhi dealing with the same. Cities are spine of the economy. The conventional unique modes of transportation are road, rail, water and air used by people. These modes of transport has very common sets of problem i.e. safety, security of structure, space, time required for travelling, money, environmental crisis etc. This Existing modes of transportation technology are either relatively slow, expensive or a combination of the both. Hyperloop is a future new mode of transportation that travels quickly, safely, ondemand and direct from passenger origin to destination. An innovation such as Hyperloop is a new future mode of transportation which will change this pattern by being both fast and less expensive for people and goods. Hyperloop is a faster alternative to existing transportation road, rail and air travel mode, will help to connect major cities to integrate labour and commercial market places. Hyperloop consist of low-energy potential which will not only help to alleviate existing and growing travel demand but also reduce congestion and carbon emission of existing transportation modes. The Hyperloop is a proposed mode of passenger and freight transport that would propel a pods or capsule-like vehicle through a near-vacuum tube which will be more than airline speed. The pods or capsule levitate with the help of air bearing, same as how pucks travel across an air hockey table. A liner electric motor accelerates the pods at massive speeds projected up to 1200 km/hr, with so little friction in the tunnel. Tunnels/ tubes used in Hyperloop would be constructed either below or above the ground level, which will help to occupy the less area than traditional road and rail. Throughout the length of the low pressure tube capsules would transport at both high and low speeds. Cushion of air would support the Capsule, featuring pressurized air and aerodynamic lift. Passengers may enter and exit Hyperloop stations, which are located either at the ends of the tube, or branches along the tube length. Hyperloop system has an extremely fast, inexpensive, eco-friendly design, which would powering the pressure pumps with clean convention energy source such as solar and the future face of transportation. It has some potential issues like economics, safety and passenger comfort of Hyperloop which need to overcome. We have focus in this paper on travel time, capacity, land implications, energy demand, cost, safety, passenger comfort, design, ergonomics and some key gaps in knowledge which require further research. The purpose of this paper is not only review k verify th...

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Section: Fig 1 Hyperloop Capsule and Tube Mounted On Pillarsmentioning

confidence: 99%

Hyperloop: Advance Mode of Transportation System and Optimize Solution on Traffic Congestion

Kale¹

2019

IJRASET

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“…Musk proposed his new transportation system as an alternative to the California high-speed rail (https://www.hsr.ca.gov/), connecting between San Francisco and Los Angeles. Feasibility studies of the Hyperloop concept were also undertaken by NASA with respect to the cost and technical aspects [7][8][9], and the organization provided a high-level evaluation of Hyperloop in terms of its commercial potential, environmental impact, costs, safety issues, and regulatory and policy issues, as well as to identify further research topics related to the technology. Four years after the Hyperloop Alpha paper was published, the first Hyperloop pod competition was held by the private company SpaceX.…”

Section: Introductionmentioning

confidence: 99%

Computational fluid dynamics simulation of Hyperloop pod predicting laminar–turbulent transition

Nick

Sato

2020

Rail. Eng. Science

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Three-dimensional compressible flow simulations were conducted to develop a Hyperloop pod. The novelty is the usage of Gamma transition model, in which the transition from laminar to turbulent flow can be predicted. First, a mesh dependency study was undertaken, showing second-order convergence with respect to the mesh refinement. Second, an aerodynamic analysis for two designs, short and optimized, was conducted with the traveling speed 125 m/s at the system pressure 0.15 bar. The concept of the short model was to delay the transition to decrease the frictional drag; meanwhile that of the optimized design was to minimize the pressure drag by decreasing the frontal area and introduce the transition more toward the front of the pod. The computed results show that the transition of the short model occurred more on the rear side due to the pod shape, which resulted in 8% smaller frictional drag coefficient than that for the optimized model. The pressure drag for the optimized design was 24% smaller than that for the short design, half of which is due to the decrease in the frontal area, and the other half is due to the smoothed rear-end shape. The total drag for the optimized model was 14% smaller than that for the short model. Finally, the influence of the system pressure was investigated. As the system pressure and the Reynolds number increase, the frictional drag coefficient increases, and the transition point moves toward the front, which are the typical phenomena observed in the transition regime.

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“…used Cantera in a PyCycle prototype to predict performance for a two stage compression system, but found it to be very slow. 15 Cantera computed equilibrium by running a dynamic simulation until the time derivatives damp out, which can take a larger number of internal iterations. That time-stepping method would also make it significantly more expensive to compute analytic derivatives with.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamics For Gas Turbine Cycles With Analytic Derivatives in OpenMDAO

Gray

Chin

Hearn

et al. 2016

57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

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A new equilibrium thermodynamics analysis tool was built based on the CEA method using the OpenMDAO framework. The tool provides forward and adjoint analytic derivatives for use with gradient based optimization algorithms. The new tool was validated against the original CEA code to ensure an accurate analysis and the analytic derivatives were validated against finite-difference approximations. Performance comparisons between analytic and finite difference methods showed a significant speed advantage for the analytic methods. To further test the new analysis tool, sample optimizations were performed performed to find the optimal air-fuel equivalence ratio, φ, maximizing combustion temperature for a range of different pressures. Collectively, the results demonstrate the viability of the new tool to serve as the thermodynamic backbone for future work on a full propulsion modeling tool well suited for use with gradient based optimization.

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Open-Source Conceptual Sizing Models for the Hyperloop Passenger Pod

Cited by 47 publications

References 4 publications

Hyperloop: Advance Mode of Transportation System and Optimize Solution on Traffic Congestion

Hyperloop: Advance Mode of Transportation System and Optimize Solution on Traffic Congestion

Computational fluid dynamics simulation of Hyperloop pod predicting laminar–turbulent transition

Thermodynamics For Gas Turbine Cycles With Analytic Derivatives in OpenMDAO

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