Engineering Proceedings, Volume 79, Issue 1

The First Sustainable Mobility and Transportation Symposium (SMTS 2024) was held in person in Győr, Hungary, from October 14 to 16, 2024 [...]

In this research, we present a novel approach for cone clustering, path planning, and path visualization in autonomous Formula Student race cars, utilizing the YOLOv8 model and a ZED 2 camera, executed on a Jetson Orin computer. Our system first iden...

This study presents the challenges arising during the numerical design and simulation of surface-microtextured piston rings. The evaluation of performance is based on the values of asperity and hydrodynamic friction, as well as the lubricant film thi...

In Hungary, around 14,000 to 15,000 traffic accidents result in personal injuries on public roads annually. Half of the individuals involved in fatal collisions are considered vulnerable pedestrians or cyclists. Our retrospective cross-sectional stud...

The advantages of using cast aluminium rotors have been proven recently. However, discontinuities and porosities created during the casting of aluminium can cause problems during motor operation, such as eccentricity, losses, unwanted sounds, and fal...

Small and micro-businesses often struggle with poor data accuracy due to a lack of dedicated labor force for non-core business functions. The required efforts and costs associated with improving data accuracy, such as setting up and operating an adeq...

This contribution focuses on electroconductive elastomeric composites based on styrene–butadiene rubber filled with graphite, conductive carbon blacks, and a mixture of these fillers to investigate changes in their conductivity during cyclic de...

This research investigates the relationship between machining technology parameters and surface roughness to optimize the cost efficiency of machining processes. In modern manufacturing, particularly in the automotive sector, achieving the desired su...

In the project work, CES EDUPACK material selection software and Arc melter 500 arc remelting equipment were used to select good-performance materials and produce a sample. First, aluminum alloys were considered due to their low weight; alloys Al7075...

In this paper, the nonlinear identification of the lateral dynamics of a road vehicle and the velocity dependence of the dynamics are presented. One of the most useful methods to define the mathematical model is system identification based on measure...

Precise position tracking is crucial for autonomous vehicle development. Technological innovations offer more accurate sensors, but the ideal combination is still debated. This study, inspired by a motorsport project, analyzes errors in simpler posit...

This article aims to introduce the tribological investigation of nanoscale zinc oxide particles as friction and wear reduction additives in the automotive industry and to present the results of the measurements. The surface-activated nanoparticles we...

It is increasingly common for simulation and AI tools to aid in the vehicle design process. The IPG CarMaker uses a multibody vehicle model and a learning algorithm for the virtual driver. The goal is to discover the behavior of the learning algorith...

Earlier, I created a mathematical model of the gear unit, in which the value of the tooth friction was determined during precalculation and then entered into the model as a constant parameter. In this paper, I investigate how much viscosity oil is re...

Data collection using drones is a widely used practice today. This capability can be used to develop a drone-based road surface inspection system aimed at increasing user (driver) safety and providing information to the owners and maintainers to asse...

One of the most widely researched fields within the automotive industry is the effect vehicles place on the environment. To achieve a sustainable transport system, reducing the pollution of vehicles is an essential issue. The aim of this paper is to...

Motocross (MX) requires physical and psychological fitness, so the performance of the individual is crucial to success. The aim of this study is to describe psychological characteristics measured under competitive conditions among successful adolesce...

Solder joints strongly determine the lifetime of electronic components subjected to temperature fluctuations. The lifetime predictions obtained by finite element analysis (FEA) are uncertain due to the significant variation in solder geometry. It is...

In this study, the design of experiments (DOE) method is used to find the optimum values of the tribological system in a 40–120 °C range with 0.1–1 wt% zirconia nanoadditives in a base oil. Significant factors were identified. The stu...

Protecting our environment is a primary focus in various industries, including the automotive sector, which aims to reduce friction and wear to minimize emissions. This study examines the effect of cupric oxide nanoparticles on artificially aged Grou...

The increasingly stricter environmental regulations and standards aim to reduce the ecological impact of vehicles and promote the sustainable use of natural resources. Improving the energy efficiency of vehicles has become a priority in recent decade...

Part 1 of this paper summarizes the application of the IPG CarMaker 11.0 software for lap-time simulation and optimization. The goal is to use the IPG CarMaker on a given track for the optimization of the aerodynamics package parameters and the drag...

Since Visual Simultaneous Localization and Mapping (VSLAM) inherently requires intensive computational operations and consumes many hardware resources, these limitations pose challenges to implementing the entire VSLAM architecture within limited pro...

The energy efficiency of the induction motor (IM) is extremely important in the drives of electric vehicles. The first part of the article examines the possibilities of modifying the torque and efficiency curves in order to realize high-torque work p...

Modern passenger vehicles can indicate the speed limit for a given road section using GPS, cameras, or both. Sign recognition systems must comply with specified testing procedures before operation. Our goal is to create a cost-effective lab environme...

Artificial intelligence has revolutionized retail by enhancing business decision-making. This research applies the RFM (Recency, Frequency, Monetary) framework for customer segmentation, promoting sustainable consumer behaviour and eco-friendly produ...

Inverse perspective mapping (IPM) is a crucial technique in camera-based autonomous driving, transforming the perspective view captured by the camera into a bird’s-eye view. This can be beneficial for accurate environmental perception, path pla...

There are several global and local position estimation and refinement techniques based on the GNSS (Global Navigation Satellite System) and environmental monitoring (e.g., LIDAR, Light Detection and Ranging). These are usually based on a combination...

Many researchers argue that autonomous vehicles (AV) will create a safer and more efficient transport infrastructure. However, some studies have drawn attention to potential problems in relation to how AVs and human-driven vehicles will co-exist. We...

This research investigates the correlation between tensile strength, tensile strain, and porosity in chemically foamed recycled poly(ethylene-terephthalate) (rPET) samples. Tensile strength and strain were measured on non-foamed samples to predict th...

Three-dimensional printing has rapidly gained traction in the automotive industry, offering significant benefits in terms of design flexibility, production speed, and cost efficiency. However, as the use of 3D printing grows, there is a rising focus...

This study delves into the strategic development trends within the automotive industry of Ukraine, aiming to provide a comprehensive understanding of the current landscape and anticipate future trajectories. The objectives of this research are twofol...

The rapidly developing battery industry entails the need for battery testing. Battery charging and discharging require time-consuming testing, so it is necessary for the battery testing laboratory to take effective personnel protection, area isolatio...

In the field of artificial neural networks, the use of multilayer perceptrons (MLPs) has long been a well-established methodology. Recently, the theory of Kolmogorov–Arnold Networks (KANs) has emerged as a potential alternative to multilayer pe...

This paper analyzes current and emerging technologies in battery management systems and their impact on the efficiency and sustainability of electric vehicles. It explores how advancements in this field contribute to enhanced battery performance, saf...

The digital revolution is rapidly reshaping supply chains, driven by the confluence of Industry 4.0 and digitalization transformations. This research aims to investigate the evolution of the digitalization transformation era by integrating machine le...

Digital Twins (DT) are an emerging trend in diversified industrial sectors and their value chains. This study aims to explore current DT applications within SCs, focusing on sustainable inbound and outbound logistics and identifying key enablers that...

This research aims to determine an optimized set of parameters for Altium Designer’s built-in autorouting function when applied on two- or more-layer printed circuit board (PCB) designs. An experimental approach is employed, creating a specific...

We have a promising future in improving road safety, which requires a comprehensive assessment of the impact of systems on road transport. Research is timely as we are in a transitional period until the advent of autonomous vehicles. This research ha...

One of the most significant challenges in sustainable autonomous mobile robot and vehicle development is the perception of stochastic environments. Various environmental perception methods have been proposed to address these challenges; however, thes...

The advent of autonomous vehicles (AV) could revolutionize the automotive industry by significantly improving safety, efficiency, and accessibility. Despite their potential to improve traffic safety by reducing human error, their integration into exi...

In this paper, the nonlinear identification (ID) of the lateral dynamics of a road vehicle is presented. The mathematical description of lateral dynamics is crucial for developing various self-driving functions. One method of describing dynamics is s...

The focus of this study is on presenting the concept of the Mini Company initiative launched in 2023 in the ZalaZONE automotive science park and proposing its development through international good examples. The aim of the project, based on the learn...

This study investigates the influence of rotor design parameters on the Campbell diagrams of automotive turbocharger rotors using rotordynamic simulations. A finite element model of the rotor is developed within the Python-based ROSS package, incorpo...

The aim of this paper is to develop an experiment design to determine the wear and friction parameters of an SAE 0W20-grade reference oil and an SAE 0W20-grade used oil contaminated with E20 fuel. Wear tests in a ball–disc arrangement were cond...

This study investigates the application of honeycomb-patterned PLA as a reinforcement in concrete structures. The research focused on identifying the optimal 3D printing layout for this reinforcement and examining how the orientation of 3D-printed PL...

The use of alternative fuels is a crucial element in achieving global sustainability, as it plays a pivotal role in reducing the environmental impact of the transport sector. This study aims to provide a comprehensive and systematic review of the lit...

In this study, poly(lactic acid) (PLA)-based biopolymer foams were prepared through injection molding using the high-pressure foam injection molding method, also referred to as “breathing mold” technique, with the addition of various amou...

Li-ion batteries, known for high energy and power density, are widely used in electromobility and stationary applications. In these applications a Battery Management System (BMS) ensures safety and longevity by performing functions like cell balancin...

The ever-increasing number of novel functions in modern vehicles continuously expands with the application of cognitive information technology, creating a new need for testing during market introduction. As the virtual test environment evolves, the n...