Browse Topic: Fuel tanks
German startup Blackwave is building carbon parts for rocket tanks. Technical University of Munich, Munich, Germany Carbon fiber has become indispensable in high-performance industries such as automotive engineering and aerospace. It's lightweight, extremely durable, and can be shaped in almost any way. The start-up Blackwave, founded at the Technical University of Munich (TUM), specializes in this versatile composite material. What began with custom components for sports cars and aircraft has evolved into the development of high-pressure tanks for space applications. As is so often the case in engineering, a small detail determines technological progress. In the case of rockets, it is the high-pressure tanks that are specially designed for the fuel systems. As rockets are designed to be as light as possible, they lose structural stability when the fuel tanks, known as primary tanks, are emptied. A trick is used to counteract this: alongside fuel combustion, noble gases are released from internal high-pressure tanks, known as secondary tanks. These gases fill the resulting empty space, maintaining structural integrity.
This study presents a fully integrated, vehicle-level thermal management model for gasoline fuel tanks, designed to predict transient fuel temperatures, tank wall heating, and vapor generation under real-world driving conditions. The model simulates coupled thermal contributions from exhaust radiation, transient underbody airflow, conductive heat transfer, in-tank pump heating, and dynamic changes in fuel composition and level. Validation against on-road measurements shows strong agreement for fuel temperature and vapor flow profiles. Results confirm that exhaust radiative heating is the dominant thermal load, particularly during the post-shutdown heat soak period. A well-designed heat shield reduced peak tank wall temperature by approximately 27 °C, significantly lowering fuel heating and evaporation. Parametric analysis indicates that while fuel Reid Vapor Pressure (RVP) and tank material influence evaporation, their effect is secondary to external heat mitigation. While this model employs simplifications, such as assuming a uniform bulk fuel temperature and using empirically based convective correlations, these assumptions proved adequate for vehicle-level thermal management analysis. This adequacy is supported by the strong correlation between the model’s predictions and experimental field data across realistic driving scenarios. As a practical tool, the model successfully supports the optimization of thermal protection strategies and guides heat shield design decisions. Future work to incorporate measurement uncertainties, localized thermal stratification, and experimental validation of vapor composition would further strengthen predictive accuracy and extend the model's applicability to more detailed design phases.
A computational study using the Volume of Fluid (VOF) method in SimericsMP+ was conducted to investigate fuel sloshing in automotive fuel tanks under both crash and sudden stop conditions. The SEALs method was employed to rapidly generate the fuel tank mesh, enabling efficient simulation setup. At the outset, a benchmark sloshing case was simulated and compared against experimental data, showing excellent agreement to validate the simulation method. This simulation method was then applied to the fuel tank sloshing scenarios mimicking crash and sudden stop conditions. The study initially focused on a crash scenario in which fuel waves impact valves, pumps, and other internal structures. Capturing these localized impact forces is critical for evaluating the risk of component failure and potential leakage. A baffle-equipped tank was simulated and compared with sensor data. Results show that the computed shock forces on valves and baffles closely matched the measurements, demonstrating the high accuracy of the CFD method in predicting crash safety performance and confirming the effectiveness of baffles in reducing fuel wave impacts. The validated framework was then applied to four new unbaffled tank designs to assess NVH performance during low-speed sudden stop maneuvers. Pressure fluctuations on tank walls, which are directly linked to cabin noise, were analyzed and compared against reference pressure measurements from physical tests to ensure compliance with NVH standards. Simulations revealed significant pressure peaks in certain designs, indicating sub-optimal acoustic performance and highlighting how the absence of internal columns or baffles amplifies wave propagation and surface loading. The computational strategy presented in this study provides a powerful tool for evaluating both crash safety and NVH behavior early in the design process. By delivering accurate predictions before physical prototypes are built, it helps guide fuel tank design development, reduces reliance on costly testing, and minimizes the risk of late-stage design failures.
Yamaha Motor Engineering Co., Ltd. provides plastic processing technology based on fuel tank press forming technology, and is developing various plastic processing methods, including forging, and developing mold equipment to realize them. This time, the core parts of the YECVT unit mounted on Yamaha Motor Co., Ltd.'s small premium scooter "NMAX" were not made by welding individual parts to each other, but by integrally forming them from a single thick plate using the cold forming method, resulting in lightweight, compact, high-strength, high-precision parts. By incorporating a composite plastic processing method that takes advantage of the characteristics of the material while making full use of analysis technology and mold technology, we were able to develop a composite plastic processing method (plate forging method) that creates new added value and mass produce it. In addition,this development has made it possible to achieve a thickness increase of 1.7 times the standard material thickness as a mass production method.
As an important bridge connecting cities and rural areas, highway transportation has an irreplaceable role in regional economic development [1]. Accompanied by the booming development of long-distance transportation industry, strengthening highway transportation is of great significance to improve people's living standards [2], but because of the special characteristics of truck transportation, fuel theft is frequent, seriously endangering the driver's life and the safety of goods transportation, although the police in the severe crackdown, but fuel theft seems to be in addition to inexhaustible, truck drivers lose oil incidents still occur from time to time, due to the increasingly serious energy problems, the world's countries have Due to the increasingly serious energy problems, countries around the world have formulated strict automotive fuel consumption rate (hereinafter referred to as fuel consumption) regulations [3], in the transportation process to prevent fuel theft is of great significance. Foreign research on fuel theft prevention can be traced back to around 2009, when the International Road Transport Union (IRU) conducted a relevant study in the UK [4]. In addition, the research on fuel theft of trucks in the EU-funded TSS project in 2018 has been more systematic [5]; in 2020, more research literature on fuel theft has also appeared. Domestic related starting research is late, research on fuel monitoring and vehicle tracking only appeared around 2012, after which research gradually increased; a commercial vehicle antitheft fuel alarm device design was proposed in 2013. However, with the continuous development of automotive technology, the original fuel anti-theft research is no longer applicable to the development of modern fuel tank components and has certain limitations. Therefore, this study takes this opportunity to deeply investigate the means of fuel theft and the defects of existing measures, draw on advanced concepts at home and abroad, innovatively put forward the dual-mode architecture system program according to the length of the vehicle stopping time, integrating energy-saving control, multilevel alarms, and location information processing technology, and is made of hardware selection, software programming, and model assembly and debugging. After testing, the system is stable in all functions, effectively monitors fuel anomalies and accurately grades alarms, solves the problem of excessive energy loss by long-time parking anti-theft, and plays an effective warning and reminder effect by utilizing the long-distance and short-distance dual-alarm processing system. However, there are fluctuations in the stability of data transmission and occasional delays in the response of some sensors under extreme complex electromagnetic interference, and the technical flaws will be overcome to improve stability and robustness.
Accurate simulation of fluid-structure interactions (FSI) is critical for designing aircraft systems, particularly for applications involving fuel tank sloshing and large deformations. Traditional added mass methods often fail to capture the nonlinear and frequency-dependent behavior of these coupled systems. This study applies the Finite Pointset Method (FPM), a mesh-free computational fluid dynamics (CFD) technique, coupled with an explicit finite element solver, to predict complex FSI phenomena. Validation is performed using benchmark experiments, including a harmonic tank sloshing test and a guided plate ditching scenario, with results demonstrating strong agreement with measured pressures and structural responses. Additional validation on a composite fuel tank drop impact test confirms FPM's ability to model large deformations and rupture under dynamic loading. The findings highlight FPM's robustness and adaptability for aerospace FSI problems, offering a powerful alternative for virtual prototyping and certification workflows where conventional methods are insufficient.
Unmanned Aerial Systems (UAS) are essential in disaster relief. VTOL UAS can take off and land in confined areas without infrastructure, efficiently accessing disaster zones for life-saving missions. The AeroLay, designed for disaster relief, delivers up to 54 kg and can loiter for 17.2 hours to relay cell signals. It features quick battery swaps and an accessible fuel tank for rapid redeployment.
Slosh, a phenomenon occurring in a vehicle's tank during movement, significantly contributes to noise and vibration, often exceeding idle levels. Existing methods for evaluating NVH performance of fuel tanks primarily rely on subjective assessment, highlighting the need for a quantifiable approach to address this dynamic noise. This paper introduces a hybrid methodology to standardize the slosh phenomenon by establishing vehicle-level acceleration, braking, and driving profiles. Noise and vibration data capture, combined with defined boundary conditions, categorizes slosh noise into Impact and Roll noise, differentiated by distinct driving profiles and frequency content. Vehicle level performance is then cascaded down to subsystem level. A dedicated test rig is designed that replicates these conditions at the subsystem level where vehicle speed and braking profiles are translated into rig-specific acceleration and deceleration profiles, enabling consistent data capture for correlation with vehicle-level results. Computational Fluid Dynamics (CFD) analysis utilizes these boundary conditions and profiles to predict forces on the fuel tank walls and identifying partial shortcomings, with forces directly correlating to noise levels. The relationship between forces and noise supports design changes for existing fuel tanks, such as optimizing baffle designs. Several baffle designs were analyzed in CFD for their effectiveness during Impact and Roll events. The optimal design resulted in significant decrease in slosh noise and achieving acceptable cabin comfort levels. Additionally, this methodology facilitated the creation of design rules and target setting for NVH performance. Insights gained from this study were applied to design new fuel tanks for subsequent programs, setting a new benchmark in the segment for reduced slosh noise. This not only improved occupant comfort but also reduced Direct Material Costs (DMC) by eliminating the need for additional baffles. The methodology presented in this paper offers a valuable tool for future vehicle development.
The future of space travel is seemingly changing by the day and a Coventry University academic is doing his bit to stay at the front of the space race.
This paper presents the results of a research and development (R&D) effort focused on fluid structure interactions between airframe structures and bladder type fuel tanks during a crash environment. During this R&D effort, fuel tank and surrounding structure crash impact tests were conducted using an innovative test configuration that allowed low-cost fabrication of test articles which represented several different design architectures. LS-DYNA models of the crash test article configurations were also developed and correlated with the tests data. Good correlation between the test data and LS-DYNA analysis results was achieved. The paper also includes recommendations for design of the airframe structures around the fuel tanks based on the fluid structure interaction insights gained from the crash tests and analyses.
Magnesium alloy, known for its high strength and lightweight properties, finds widespread utilization in various technical applications. Aerospace applications, such as fuselages and steering columns, are well-suited for their utilization. These materials are frequently employed in automotive components, such as steering wheels and fuel tank lids, due to their notable corrosion resistance. The performance of magnesium alloy components remains unimproved by normal manufacturing methods due to the inherent characteristics of the material. This work introduces a contemporary approach to fabricating complex geometries through the utilization of Wire-Electro Discharge Machining (WEDM). The material utilized in this study was magnesium alloy. The investigation also considered the input parameters associated with the Wire Electrical Discharge Machining (WEDM) process, specifically the pulse duration and peak current. The findings of the study encompassed the material removal rate and surface roughness. Taguchi successfully employed a single aspect optimization technique to ascertain the ideal combination that would enhance the efficacy of the WEDM process. The findings of the investigation revealed that the proposed technique significantly improved the efficiency of the WEDM approach.
SS304 is a type of stainless steel that is well-known for its high ductility and resistance to corrosion; as a result, it is typically utilized in a variety of applications, such as the exhaust systems of automobiles and the springs that are used in seatbelts. Because of its qualities, it will eventually be employed in a variety of body parts, including fuel tanks and chassis, among other things. Due to its properties, SS304 is known to be incredibly difficult to machine using conventional methods. Through a wire electrical discharge machining process, it is easier to cut complex materials with high surface finishes. In this study, a study was conducted on the WEDM process parameters of SS304 to optimize its machining process. The study was carried out using the DoE approach, which involved planning the various experiments. The parameters of the process, such as the pulse on time, peak current, and off time, were analyzed to determine their performance. The various performance measures included surface roughness, overcut, and removal rate. The results of the study were then analyzed with an interaction plot analysis. The influence of the various process variables on the output measures were then studied through this analysis.
Mazda, the automaker with the longest and richest history of using the Wankel rotary engine announced that it resumed mass production of rotary engines for a new variant of the MX-30 compact crossover. Mazda provided little detail about the engine itself, which serves as a generator for the MX-30 e-SKYACTIV R-EV, a plug-in hybrid (PHEV) variant of the MX-30 crossover. Mazda hasn't used the unique powerplant for a production vehicle for more than a decade. The MX-30 e-SKYACTIV R-EV employs the rotary engine in a series-hybrid layout to generate electricity to replenish the vehicle's 17.8-kWh lithium-ion battery, which when fully charged, can provide up to 85 km (31 miles) of driving range on Europe's Worldwide Light Vehicle Test Procedure (WLTP) cycle. Gasoline from a 50-L (13.2-gal.) fuel tank supplies the rotary when its operation is required to provide electricity for extended-range driving. In a release, Mazda explained it “positioned it [the rotary engine] on the same axle as a high-output motor and a generator” in the front engine bay.
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