Field Transport Research Articles

Experimental study on the flow electrification of liquid nitrogen in turbulent flow

Flow electrification occurs in all fluid flow scenarios involving solid–liquid interfaces. Due to electrostatic safety considerations, extensive research, both experimental and theoretical, has been conducted in the petroleum transportation field. However, research on flow electrification related to cryogenic fluids is relatively scarce, with even fewer experimental studies conducted. With the increasing use of cryogenic fluids such as liquid hydrogen and liquefied natural gas in aerospace and energy fields, there is an urgent need to expand the experimental database on cryogenic fluid flow electrification. In this context, a study focusing on cryogenic flow electrification using liquid nitrogen (LN2) as the working fluid was initiated, accompanied by the establishment of a flow electrification experimental platform capable of capturing ultra-low electrical signals at cryogenic conditions. Three measurement methods were designed and implemented, including charge, potential, and current measurements. By comparing their performance, the streaming charge method was identified as the optimal choice due to the stability and linearity of the raw signal. Subsequently, extensive testing was conducted to analyze the effects of various parameters, including flow velocity, pipe diameter, pipe material, and pipe roughness, on flow electrification intensity. The conclusions drawn include: within the experimental measurement range, the current induced by flow turbulence is on the order of 10−12 A for LN2. Moreover, increasing pipe diameter and roughness exacerbate the charge transported. Among the four materials tested, PTFE exhibits the highest intensity of flow electrification, followed by aluminum and stainless steel, with copper showing the weakest effect. Finally, based on the experimental data obtained, a modified semi-empirical correlation formula for the streaming current was proposed, which can reflect the specific effects of flow velocity, pipe diameter, material, and pipe roughness. Our measurement research has significant implications for the study of flow electrification in LN2 and its applications in aerospace and energy security fields.

Impacts of wireless charging system for electric vehicles on power grid

Electric Vehicles (EVs) have become a viable choice for cutting carbon emissions in the field of road transportation. EVs will be incorporated into the electrical grid at an increasing rate in the near future. EVs themselves are becoming immense power consuming load on the power grid system as a result of the growing number of EVs, mostly light-duty EVs. In addition to posing major technical risks such power quality issues, voltage swings, harmonic injection, battery deterioration, and grid instability, the unplanned installation and rapid adoption of charging stations might impede the smooth functioning of the power distribution system. Therefore, this paper analyzes and summarizes the potential issues and solutions for Fast Wireless Charging (FWC) that allows for the wireless transmission of very high-power levels (>20 kW) from the power grid to explore the impact of EV charging on the power system network. This need can have far-reaching effects on the load profile, operation, and design of the distribution network. In order to avoid exceeding the grid's technical restrictions, it is crucial to find the maximum feasible deployment level before rolling out an FWC network. This study provides a method for assessing how FWC technologies influence distribution networks. Using a realistic model of an Indian MV distribution feeder, the proposed methodology is used, providing both quantitative and qualitative results that serve as potential directions for future research studies.

A Sensor-Based Application for Eco-Driving Management in Short-Term Car Rentals

How to reduce fuel consumption to mitigate CO2 emissions to the atmosphere and improve road safety is one of the priorities to be addressed in the field of transport in the European Union. Considering the trend towards more frequent car rentals, it seems important to encourage drivers to change their driving style to a more ecological and economic one. This can be achieved by a system (built of a sensor located in the car, analytical software in the cloud and a mobile application for displaying results) that analyzes driving style and tells the driver how to drive better. Solutions such as the car bus PCB, GSM/GPS modem and 3D sensors were used in the development of the sensor. The validation of the sensor and the development of the analytical system are based on tests carried out in road conditions and in a closed area. Graphical methods (box-plot charts), correlation analysis and testing statistical hypotheses using the Mann–Whitney method were used in the analysis of the test results. The developed sensor and the analytical system allow for identifying the driving style of drivers. This system, through the use of a sensor that allows for downloading data not only from the car’s CAN bus but also the forces acting on the vehicle, permits the checking of 14 driving parameters used to interpret the driver’s driving style.

Study on the carbon footprint impact analysis method of integrated energy system operation in low-carbon park considering multi-domain dynamic characteristics

Low-carbon parks are an important battlefield for China to achieve the goal of peaking carbon neutrality. Accurate and efficient analysis and tracking of park carbon footprint is a necessary measure to reduce carbon and save energy in parks. Aiming at the problems of less research on the carbon footprint of low-carbon parks at home and abroad and the lack of tracking and analysis methods of dynamic influencing factors of carbon footprint, this paper focuses on the carbon footprint of typical low-carbon parks during operation and proposes a dynamic tracking method of the carbon footprint of low-carbon parks that considers the dynamic characteristics of carbon emissions in various fields. In this paper, the hierarchical impact structure of the carbon footprint of low-carbon parks was first constructed, including the impact of population, economy, construction, energy, transportation, and industry. LMDI (Logarithmic Mean Divisia Index) was used to decompose the macro-level impact of the carbon footprint of low-carbon parks. Secondly, this paper establishes a dynamic simulation model of carbon emissions of low-carbon parks in the fields of building, energy, transportation, and industry, which can realize 8760 hours of dynamic simulation calculation throughout the year. Based on dynamic simulation, this paper carries out single factor sensitivity analysis and combines the Monte Carlo simulation method to complete quantitative calculation of dynamic second-order influence weight of carbon footprint. Finally, a multi-domain impact analysis and tracking method for the carbon footprint of low-carbon parks is obtained.

Comparative study on the performance of butt fusion-welding processes for nuclear safety class large-diameter thick-walled PE pipes

New technologies in polymer synthesis and pipe extrusion equipment have led to the commercialization of high-performance, large-diameter, thick-wall high density polyethylene (HDPE) pipes. They have been used in the field of seawater transport and cooling to replace metal pipes, due to their advantages of high corrosion resistance and extensibility. Connection of HDPE pipe is important as it determines the safety of the entire piping system. Butt fusion welding is commonly used for HDPE pipe connection but may cause the formation of weak points in the welded joints, interfering the reliability of the pipeline system in the application of nuclear power plants. At present, there is a lack of research on evaluating the performance of welded joint for large-diameter thick-wall HDPE pipes made by butt fusion-welding. The purpose of this study is to investigate the influence of three different butt fusion-welding processes, i.e., single low pressure (SLP), single high pressure (SHP) and dual low pressure (DLP), by evaluating the performance of their welded joints, including characterizing tensile strength, extensibility, crystallinity and hardness. In specific, a thick-wall HDPE pipe with OD of 812.8 mm and wall thickness of 74 mm which is certified for nuclear safety class was used for study. Representative specimen from the outer, middle and inner part across the wall of the main pipe body and welded joints were taken for testing. Different test methods and specimens were designed to assess the feasibility of evaluating the welding performance from different welding process. The results showed that the mechanical properties of different locations of the welded joints were different, and the tensile strength and fracture energy of the middle part of the joint were lower than that of the inner and outer parts, which could be caused by the difference in the crystallinity and thickness of the melting zone influenced by welding processes, as can be seen from the analysis of DSC test and morphology observation. Hardness testing was conducted on the section of the welded joints, and it revealed that the micromechanical properties of the welded joints in the region of the heat-affected zone were enhanced significantly, which may be due to the annealing effect caused by welding process. In summary, The DLP process resulted in the best extensibility of the welded joints among three processes, suggesting that the joining pressure from welding process plays an important role in affecting the extensibility of the welded joints.

Grain boundary microstructure engineering of Li1.3Al0.3Ti1.7(PO4)3 electrolytes with a low-temperature-prepared nanopowder and Bi2O3 additive

All-solid-state lithium batteries have great potential applying to the fields of transportation and portable devices because of their high safety and energy density as the power source. As a critical component of device, solid-state electrolyte has been paid much attention. Given the excellent physical and chemical stability, Li1+xAlxTi2-x(PO4)3 (LATP)-based electrolyte has been considered as one of the most promising electrolytes for the next generation batteries. However, a further promotion of its ionic conductivity becomes extremely difficult, originating mainly from the poor connection of grains and a low relative density of LATP. Here, the nanosized and homogenous LATP (x = 0.3) powders were synthesized through reducing the agglomeration of precursor powders and preparing at low temperatures. It is revealed that uniformly superfine LATP powders are able to improve the microstructure of grain boundaries during the pellet sintering process, thereby reducing the grain boundary resistance. Furthermore, as-synthesized nanosized powders mixed with Bi2O3 additive present a better enhancement on the connection of grains and the relative density in LATP. On the basis of this understanding, we prepared LATP electrolytes with 0.5 wt% Bi2O3 exhibiting a high ionic conductivity of 8.56 × 10−4 S/cm, a high relative density of 94.4 % and a low activation energy of 0.27 eV, which is demonstrated as a prospective electrolyte in all-solid-state lithium battery LiFePO4/PEO/LATP/PEO/Li.

Real-time railroad track components inspection framework based on YOLO-NAS and edge computing

The demand for efficient track inspection systems in the rapidly evolving rail transportation field is more pronounced than ever. Hence, this study combines deep learning and edge computing for railroad track component inspection, focusing on the YOLO-NAS architecture. Our objective was twofold: to harness the advantages of YOLO-NAS for accurate and high-speed detection while addressing the computational constraints of edge devices. Consequently, YOLO-NAS-S-PTQ model achieved a remarkable balance, with 74.77% mAP and 92.20 FPS, on the NVIDIA Jetson Orin platform. By deploying this model on an edge device and utilizing a multiprocessor pipeline, we observed an inference speed of 60.468 FPS, which was nearly double the rate of its single-threaded counterpart. Field tests further confirmed the efficiency of the model, demonstrating a recall rate of 80.77% and an accuracy of 96.64%. These findings underscore the potential of YOLO-NAS in transforming traditional rail component inspection methods, significantly reducing human interventions and potential errors.

Analysis of Hydrogen Value Chain Events: Implications for Hydrogen Refueling Stations’ Safety

Renewable hydrogen is emerging as the key to a sustainable energy transition with multiple applications and uses. In the field of transport, in addition to fuel cell vehicles, it is necessary to develop an extensive network of hydrogen refueling stations (hereafter HRSs). The characteristics and properties of hydrogen make ensuring the safe operation of these facilities a crucial element for their successful deployment and implementation. This paper shows the outcomes of an analysis of hydrogen incidents and accidents considering their potential application to HRSs. For this purpose, the HIAD 2.0 was reviewed and a total of 224 events that could be repeated in any of the major industrial processes related to hydrogen refueling stations were analyzed. This analysis was carried out using a mixed methodology of quantitative and qualitative techniques, considering the following hydrogen value chain: production, storage, delivery and industrial use. The results provide general information segmented by event frequency, damage classes and failure typology. The analysis shows the main processes of the value chain allow the identification of key aspects for the safety management of refueling facilities.

ECONOMIC AND FUNCTIONAL DIMENSIONS OF THE DEVELOPMENT OF INTERNATIONAL TRANSPORT CORRIDORS IN THE CONTEXT OF GLOBALIZATION

Under current conditions of growing interdependence of national economies, global supply chains are being transformed and trade flows are being reoriented. The dynamics and scale of these processes are largely determined by the efficiency of international transport corridors. Investments in transport corridors have a significant multiplier effect on the entire economy by stimulating the development of transport and logistics and related sectors of the economy, creating a growing demand in labour markets, and developing global value chains, international production, trade and logistics networks. The purpose of the article is to study the impact of international transport corridors on the development of territories at the national and regional levels. The use of descriptive statistics allowed to assess the impact of international transport corridors on the level of economic development, trade openness and foreign trade volumes based on the analysis of data from 121 countries. The links between the zones of influence of international transport corridors and other functional types of territories in Ukraine were investigated. The territorial coefficient of environmental load in the context of Ukrainian regions was calculated. The results of the study will be useful for both researchers in the field of logistics and transport infrastructure development and policymakers in the field of transport and economic policy.

Implementation of the Topsis and AHP Methods in the Decision Support System for Determining the Best Employees

Every company or agency needs Human Resources (HR) in the form of employees who have competence and good performance. Employees are one of the most important assets owned by a company. The West Sumatra Province Transportation Service is the organizer of government affairs in the field of transportation or transportation policy for the West Sumatra Province region where the selection of the best employees is still not optimal using Microsoft Excel. The aim of designing a new system at the Provincial Transportation Service is to create optimization in the assessment of each employee to facilitate the recapitulation of employee data. The data is analyzed and processed according to the research framework, namely using a Decision Support System, especially the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP) methods. In this research, 10 alternative employees were taken to be assessed. Based on formula calculations using the AHP method, it is used to determine the weighted value of each existing criterion, then the resulting values from the weighting are used to carry out rankings using the TOPSIS method. After carrying out calculations using these 2 methods, the result was that the best employee was alternative 9 in the name of Rusdi with a value of 0.9995. So with this calculation the results can show which employees have the right to be the best employees in that agency

Learning quantum many-body systems from a few copies

Estimating physical properties of quantum states from measurements is one of the most fundamental tasks in quantum science. In this work, we identify conditions on states under which it is possible to infer the expectation values of all quasi-local observables of a state from a number of copies that scales polylogarithmically with the system's size and polynomially on the locality of the target observables. We show that this constitutes a provable exponential improvement in the number of copies over state-of-the-art tomography protocols. We achieve our results by combining the maximum entropy method with tools from the emerging fields of classical shadows and quantum optimal transport. The latter allows us to fine-tune the error made in estimating the expectation value of an observable in terms of how local it is and how well we approximate the expectation value of a fixed set of few-body observables. We conjecture that our condition holds for all states exhibiting some form of decay of correlations and establish it for several subsets thereof. These include widely studied classes of states such as one-dimensional thermal and high-temperature Gibbs states of local commuting Hamiltonians on arbitrary hypergraphs or outputs of shallow circuits. Moreover, we show improvements of the maximum entropy method beyond the sample complexity that are of independent interest. These include identifying regimes in which it is possible to perform the postprocessing efficiently as well as novel bounds on the condition number of covariance matrices of many-body states.

Microstructure, mechanical properties, and strengthening mechanisms of ultra-high strength Al-Zn-Mg-Cu alloy prepared by continuous extrusion forming process

In recent years, the strategy of obtaining ultra-high strength bulk Al-Zn-Mg-Cu alloys materials through implementing severe plastic deformation (SPD) has emerged as the prominent trend in structural lightweight development in aerospace and transportation fields. However, the inherent poor formability makes the SPD process of high-alloying Al-Zn-Mg-Cu alloys a great challenge. In the present work, a continuous SPD process named the Conform, utilizing a rotational speed of 4 rpm and a mold preheating temperature of 300 °C, was performed on the high-alloying 7055 Al alloy and prepared rod materials with excellent mechanical properties. The results indicated that violent shear deformation accompanied by rapid temperature rise contributes to the specific grain refinement mechanism of continuous dynamic recrystallization (CDRX) and discontinuous dynamic recrystallization (DDRX). The grain configuration formed by this cooperative mechanism is advantageous for the alloy's compatible deformation capability. As a result, a synergistic improvement in the strength and ductility of the Conformed 7055 Al alloy was obtained. Additionally, the strengthening mechanisms induced by the Conform process were quantitatively calculated, revealing that solid solution strengthening and dislocation strengthening were the primary reasons for the enhanced strength of processed alloys.

USING OF BIG DATA TECHNOLOGIES IN VEHICLE INDUSTRY

This work contains information about some aspects of the use of Big Data technologies in the transport sector, such as predictive analysis of vehicle breakdowns, issues of delivering large amounts of data from rolling stock. Some options for directions for further research on the use of Big Data technologies are considered. One of the problems of using Big Data technologies in the field of transport is the problem of delivering large amounts of information to data processing centers. If for urban transport, where coverage by networks of mobile cellular operators approaches 100%, there are no problems in sending large amounts of data (data can be accumulated on board the vehicle and transmitted at other times, for example, when the vehicle is in the park), then for this transport, such as trucks, trains, cargo planes, there is a certain problem in delivering large amounts of data. Keywords: Big Data technologies, vehicle industry, collecting data, DFM, risks.

PROCESSING THE GUARANTEE OF ONLINE PARKING RESERVATION PROGRAM

This article discusses the analysis and resolution of structured and unstructured problems in the field of transportation, the use of artificial intelligence and technological capabilities, and research in various fields related to transportation research, such as hybrid data sets, neurology, deep learning, and object recognition. In addition to this, the analysis of current issues and their adaptation in terms of time and financial benefits in almost all areas has been applied in the analysis of the Ministry of Transport. Keywords: Deep Learning, Neural Network, Machine Learning, Object Recognition, Python, Yolo, YoloV3.

CONSTITUTIONAL AND LEGAL BASIS FOR ENSURING THE TRANSPORT SOVEREIGNTY OF RUSSIA IN CONNECTION WITH THE NETWORK DEVELOPMENT OF INTERNATIONAL TRANSPORT CORRIDORS

Introduction. The article, in a constitutional and legal context, examines the concept of transport sovereignty of the state as an integral part of the territorial, economic, and technological sovereignty of the state. International transport corridors (ITC) are created with the participation of Russia, help strengthen the transport sovereignty of the Russian state, and act as new network transport infrastructure structures for international transport. It is noted that the security of the transport system is under federal jurisdiction and is ensured by constitutional measures of national, regional, international regulation and control in the field of federal transport, communications, information, information technology and communications. Materials and methods. Analytical materials were used on the Eurasian cooperation of the EAEU member states on the creation of the ITC, on the coordination functions and powers of the EAEU bodies, the State Council of the Russian Federation, the President of the Russian Federation, the Government of the Russian Federation, the Ministry of Transport of Russia, the Ministry of Finance of Russia and others on the development of the ITC and the transport system as a whole. Methods of comparative analysis of legal acts on the topic of the article were used. Results. The importance of the ITC for the transport sovereignty of Russia and the Agreement on the ITC «North-South» of September 12, 2000 are analyzed. It is noted that in the world of innovation and digital economy, ITCs are included in transport systems. Discussion and conclusions. The constitutional and legal nature of strategic planning of the transport industry with the participation of the State Council of the Russian Federation is noted. In this regard, strengthening legal regulation measures to ensure the technological and transport sovereignty of the state at the international and national levels can be considered as ways of constitutional and legal protection of the foundations of the constitutional system, the interests of the state and society.

Ammonia fueled engine with diesel pilot ignition: Approach to achieve ultra-high ammonia substitution

Ammonia is a hydrogen-rich zero-carbon fuel, and is one of the most promising approaches to realize energy decarbonization in the fields of industry and transportation. Efficient operation and emissions control have been the primary obstacle to develop engines with high ammonia energy share. In this study, the combustion and emissions of an ammonia-fueled engine with diesel pilot ignition are investigated, and the target is to achieve ultra-high ammonia substitution with acceptable thermal efficiency. The ammonia energy share is first increased from 30% to 90% at an intermediate load, with a split diesel injection triggering ammonia combustion. It found that the increased ammonia energy share reduces the indicated thermal efficiency from 48.3% to 38.9% with high unburned ammonia emissions. The NOx emissions exhibit a turning point with increased ammonia substitution, which indicates that the NOx emissions transition from the thermal-dominated to the fuel-dominated regime. The diesel pilot injection strategy is then optimized, by advancing the main injection timing and changing the pre-injection amount and the interval between two injection events. Optimized diesel injection controls the ignition timing and combustion process, thereby improving thermal efficiency and emissions at high ammonia energy shares. An ultra-high ammonia energy share of 95% could be finally achieved, and the thermal efficiency is 40.2%. It is also noted that as engine load increases, engine thermal efficiency at an ammonia energy share of 80% could be elevated to 44.2%.

The linguistic analysis of english transport terminology

The linguistic analysis of English transport terminology offers a comprehensive examination of the language used to describe various aspects of transportation. This research delves into the morphology, syntax, semantics, and pragmatics of transportation-related language, exploring how words are formed, structured, interpreted, and used in communication within the transport sector. This article provides an overview of the linguistic analysis of English transport terminology’, highlighting its significance in understanding how language shapes and reflects out-perceptions, practices, and policies in the field of transportation.

ANALISIS DAN PERANCANGAN SISTEM PENDAFTARAN PENGAJUAN DANA KERJA LAPANGAN DI YAYASAN CAPPA KEADILAN EKOLOGI BERBASIS WEBSITE

In this era of globalization where advances in information and communication technology (ICT) are growing rapidly and the use of IT in the field of organizations. As with the CAPPA Foundation's Ecological Justice Systems, information systems have. An important role in an institution or organization to help effectiveness and performance. This designed system is intended to process financial data, especially in the field of travel transportation money.The main purpose of creating a financial information system is to process financial data quickly and accurately, because the manual system that is still used causes several problems, such as not producing 100% accurate data and the travel transportation financial data processing system.Manual administration also takes a long time. Based on the problem analysis, the author tries to design a transportation financial information system that is expected to support financial data reporting so that the resulting report is faster and more accurate

Theoretical aspects og the implementation of models of innovative development of Ukrainian tourist enterprises

The purpose of the article is to generalize, systematize, and analyze the leading theoretical approaches to the formation and implementation of innovative models at tourist enterprises, as well as to determine the features of the process of forming the innovation management strategy of a tourist enterprise. The methodological basis of the proposed article is a systematic approach using general scientific and special economic methods of cognition, for example: comparative analysis during research on the need to apply innovative marketing at tourist enterprises. Scientific novely. The current state and directions of innovative development of enterprises in the field of tourism were studied, the main directions of innovative development of enterprises in the field of tourism and recreation were determined. An innovative type of development of tourist enterprises is proposed through the formation of a generalmodel of innovative development, which will make it possible to conduct further research on the example of specific tourist enterprises and offer recommendations for its implementation. Conclusions. Social aspects were analyzed and organizational forms of innovative directions of development of tourist enterprises were identified, which cannot be implemented without ensuring the effective functioning of the relevant organizational forms, including state authorities and local self-government; scientific and educational institutions; local communities and other communities; tourist enterprises and organizations; institutions in the field of service, transport and other networks; technical service institutions, consulting organizations; destinations; mass media, etc. Mechanisms of implementation of administrative and management and informational directions of innovative development of tourism and recreation are considered in detail. It was determined that the main directions of innovation are related to ensuring higher efficiency of management processes, increasing consumer loyalty, brand formation, etc. At the same time, technological innovations come to the fore, which is associated with the rapid development of information and communication technologies and their wide application in this field.

Millimeter-Wave V2V Communication: Unveiling Challenges and Opportunities for Safe and Efficient Transportation

Millimeter-wave technology promises to revolutionize vehicle-to-vehicle communication. Unlike other systems, mmWave has a broad spectrum with high bandwidth, enabling vehicles to continuously share information as the precise location, speed and sensor data freely. This means that cars can perceive their environment better in that they become aware of their surroundings. mmWave V2V communication enables the exchange of information in real-time, and this is crucial in promoting cooperative perception which ensures improved road safety as it quickens how cars recognize or react to possible dangers. However, additional studies in mmWave technology are necessary to effectively address the problem of interference and signal reliability in high-speed traffic conditions. Moreover, the creation of inexpensive mmWave transceivers and signal processing algorithms is needed to make it viable for every-day vehicles. As these challenges are tackled, mmWave V2V communication can bring about the next revolution in the field of transportation, which allows for the development of a fully connected and intelligent transportation infrastructure. Keywords- Millimetre-wave, V2V communication, Signal processing algorithms, High bandwidth.