Search in Publications

Found 6674 publications

Artificial Aging of Ultra-low Viscosity Lubricant Samples on a Programmable Oil Aging Rig

I. Zsoldos A. L. Nagy

Publication Name: Lecture Notes in Mechanical Engineering

Publication Date: 2021-01-01

Volume: 22

Issue: Unknown

Page Range: 139-147

Description:

An artificial lubricant aging rig was developed in order to simulate aging processes of automotive lubricants. This article presents the development of the aging apparatus and its control system as well as results of artificial aging of SAE 0W-20 grade automotive lubricant with a modified thermal cycling procedure. Friction and wear measurements on a high frequency reciprocating rig were conducted to describe the lubricating properties of the artificially aged samples. Select oil samples were analyzed through FTIR spectroscopy.

Open Access: Yes

DOI: 10.1007/978-981-15-9529-5_12

European funds in the nonprofit sector of West-Transdanubia and Gyor

Adrienn Reisinger Hajós Barbara

Publication Name: Civil Szemle

Publication Date: 2013-01-01

Volume: 10

Issue: 1

Page Range: 35-53

Description:

The paper seeks answers to the question: how successful were the nonprofit organisations in the West-Transdanubian region and in Gyor receiving EU funds between 2004 and October 2012 (the authors also show the national data to make better analysis). The study shows how many applications were successful and how many supports required and got the organisations during the first (2004-2006) and second (2007-2013) planning periods. The paper also presents the most popular Operational Programs regarding the number of the projects and the amount of the EU support. The authors introduce detailed the successful organisations in Gyor. The aim of the study is to show how were the nonprofit organisations successful getting EU funds in West-Transdanubia and in Gyor, and what types of projects were supported in these areas.

Open Access: Yes

DOI: DOI not available

Pathways to sustainability: Evaluating the impact of green energy, natural resources, FinTech, and environmental policies in resource-abundant countries

Najia Saqib Umer Shahzad

Publication Name: Resources Policy

Publication Date: 2024-10-01

Volume: 97

Issue: Unknown

Page Range: Unknown

Description:

The escalating concerns about ecological sustainability have made the consumption of resources a crucial global issue. The speedy growth of the economy is heavily reliant on excessive consumption of resources, which significantly contributes to the imbalance between biodiversity and ecological footprint, resulting in a decrease in the carrying capacity. Both researchers and policymakers strive to enhance the amount of financial capital in the present time while ensuring that the country's economic growth remains unaffected. The primary objective of this study is to analyze the impact of green energy, financial technology (FinTech), and environmental regulations on enhancing the environmental sustainability of resource-rich countries from 1992 to 2022. To address problems with cross-sectional dependency and slope heterogeneity, this study employs the CS- ARDL model. The long-term results indicate that the reliance on income from natural resources decreased the load capacity factor. However, the load capacity factor was improved by shifting to green energy, adopting fintech, and implementing environmental regulations. The utilization of the AMG and CCEMG estimate procedures enhances the validity of the research findings. These findings provide essential policy recommendations for all stakeholder involved.

Open Access: Yes

DOI: 10.1016/j.resourpol.2024.105264

Vehicle Model for Driving Strategy Optimization of Energy Efficient Lightweight Vehicle

Peter Koros Zoltan Pusztai Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2021-01-01

Volume: 88

Issue: Unknown

Page Range: 385-390

Description:

The energy consumption and CO2 emission of urban vehicles are highly dependent on their operation. Vehicle models can be used for optimizing driving strategy for emission reduction. This paper proposes a novel vehicle model of a one-seat electric vehicle dedicated for Shell Eco-marathon (SEM), the most famous and largest race of energy efficient vehicles. The available vehicle dynamical formulas cannot be directly used to describe the characteristics of lightweight vehicles. In the current work, a novel grey-box vehicle model has been introduced, based on measurement scenarios. The whole model has been elaborated in MATLAB Simulink environment, where individual subassemblies were defined for driving resistance model, powertrain model, and the racetrack characteristics. The resistance force model manages the forces in straight line moving and also takes the effect of cornering into account. Based on test bench measurements the complete efficiency map of the drivetrain was created and implemented into the vehicle model. The presented vehicle model is suitable for driving strategy optimization. By optimizing this model, 7.1 % energy savings have been achieved compared to best human driven lap. Driving strategy optimization will be essential, especially for autonomous vehicles, expressing the importance of the presented results in the future.

Open Access: Yes

DOI: 10.3303/CET2188064

Risk Management for Cold Supply Chain: Case of a Developing Country

Laszlo Vasa Dragan Pamucar Yousaf Ali Amin Ullah Khan

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 8

Page Range: 161-185

Description:

Cold Supply Chain (CSC) involves temperature-controlled activities in the overall process, ranging from the raw material storage to the final supply of the products to the consumers. The activities involved are easily exposed to risks such as temperature and humidity, equipment failure and quality risk to name a few. Such sensitive processes need proper risk mitigation strategies, to ensure the effective functioning of the overall CSC. For this purpose, the current research conducted a vigorous literature review and identified 40 relevant risks related to CSC in a developing country. The risks were analyzed using Failure Mode and Effect Analysis (FMEA)-Risk Priority Number (RPN) technique to shortlist the significant risks. The significant risks were then subjected to the Full Consistency Method (FUCOM) for prioritization. The results concluded, contamination of food, temperature and humidity and quality as the top-three risks that can be dangerous for the overall cold supply chain. To overcome these risks, the study recommends the proper implementation of traceability systems and Radio Frequency Identification (RFID) systems. Furthermore, employing the latest technologies and efficient personnel training can also help overcome these risks. Such an application of the study in the case of a developing country, Pakistan's CSC forms to be the first of its kind. Furthermore, the application of FMEA-RPN along with the FUCOM technique in the scenario of CSC risk management forms the novelty of this research study.

Open Access: Yes

DOI: DOI not available

Malta's low carbon transition towards sustainability

Yuriy Bilan Brian Azzopardi Rafał Kasperowicz Marcin Pinczynski Dalia Streimikiene

Publication Name: Sustainable Development

Publication Date: 2024-10-01

Volume: 32

Issue: 5

Page Range: 5120-5128

Description:

The transition to low-carbon energy and energy independence of a country play an important role in the sustainable development of its energy sector. Another important issue of sustainable energy development is the cost competitiveness in the generation process; with new renewable energy technologies, a sustainable energy transition to carbon-neutral society is possible. In this article, we present a view of sustainable energy transformation based on a case study of Malta. We have created a simulation of a Maltese electricity system with projected growth and dominance of photovoltaic energy in the electricity market. The study results suggest that a system with a high penetration of photovoltaics has significant advantage over a conventional system using fossil fuels. In particular, in the simulated Maltese system, the total annual cost of energy was reduced threefold, the CO2 emissions were reduced by 40%, and the energy independence of Malta increased by 60%. In the end, the article gives a recommendation for further research into the Maltese energy system.

Open Access: Yes

DOI: 10.1002/sd.2967

Reliability incorporated optimal process pathway selection for sustainable microalgae-based biorefinery system: P-graph approach

Ákos Orosz Bing Shen How Juin Yau Lim Ferenc Friedler Chang Kyoo Yoo

Publication Name: Computer Aided Chemical Engineering

Publication Date: 2022-01-01

Volume: 49

Issue: Unknown

Page Range: 217-222

Description:

Biofuel from microalgae is one of the promising solutions on addressing climate change by its possibility of reducing the fossil fuel dependency. Till-date, the overall competitiveness of microalgae based biorefinery is the major concern due to its unique operational mechanism, especially the biological growth of microalgae that fluctuates towards the surrounding. Therefore, a novel graph-theoretic approach has been proposed to provide an optimization approach for identifying optimal process design with the consideration of three aspects that includes: economic, environmental, and reliability. The optimization is conducted using P-graph (a powerful graph-theoretic tool) which is capable to determine optimal and near-optimal solutions based on three objective functions: (i) minimizing annual operating cost, (ii) minimizing potential environmental impact, and (iii) maximizing reliability of process. The pool of feasible solutions (optimal and near-optimal) is obtained by satisfying the constraints on both greenhouse gas emissions and its respective reliability along. Thereupon, a further analysis was carried out with the aid of TOPSIS considering three of the assessment aspects to identify the optimal microalgae biorefinery configuration

Open Access: Yes

DOI: 10.1016/B978-0-323-85159-6.50036-1

Automated Corrosion Feature Matching Based on In-Line Inspections Using Point Pattern Alignment and Proximity–Overlap Optimization

Péter Földesi Mohamad Shatnawi

Publication Name: IEEE Access

Publication Date: 2025-01-01

Volume: 13

Issue: Unknown

Page Range: 197996-198015

Description:

Corrosion is a leading cause of pipeline failures, responsible for up to a third of reported incidents. Given the extensive length and limited accessibility of pipelines, operators rely on frequent in-line inspections (ILIs) to detect and quantify corrosion defects. Feature matching between successive ILIs is therefore utilized to align and compare this data, enabling the identification of corrosion evolution and behavior. However, measurement uncertainties, nonuniform corrosion growth, and spatial interactions between adjacent defects pose significant challenges in achieving accurate matching. This study proposes a two-phase feature matching model designed to address these limitations. The first phase performs Iterative Closest Point (ICP) alignment with a context-aware nearest neighbor selection strategy based on Directional Epsilon Neighborhood Clustering (DENC) to isolate stable feature pairs and minimize ambiguous associations in densely clustered defect regions. The second phase applies a novel proximity–overlap-informed correspondence optimization using linear programming to identify matches and outliers by jointly considering feature positioning and geometric attributes. The model’s effectiveness is evaluated on a 1116 m subsea pipeline segment involving two consecutive inspections reporting 1305 and 1491 features, respectively. Compared to three state-of-the-art models, the proposed approach achieves a recall, precision, and F1 score of 99.2%, demonstrating substantial improvements in accuracy, stability, and robustness to inspection and corrosion-related uncertainties. These results confirm the model’s ability to address critical limitations in existing approaches and underscore its potential to enhance pipeline integrity assessments.

Open Access: Yes

DOI: 10.1109/ACCESS.2025.3633778

Measurement Errors and Challenges in Sheet Metal Components When Using Digital Image Correlation (DIC) Systems †

Szabolcs Fischer Szabolcs Szalai Brigitta Fruzsina Szívós Vivien Nemes

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Digital Image Correlation systems are increasingly being used for non-contact measurement of deformation and strain in sheet metal components. However, the accuracy of such measurements can be significantly affected by various external and system-related factors. If these are not properly considered, substantial errors may be introduced. In this study, a short and longer flat sheet specimen were clamped in a vise to investigate how overhang and clamping stability influence the accuracy of the measured deformation fields. Two different measurement volumes were also evaluated to assess their effect on the results. These factors were evaluated through targeted experiments, and the resulting data were analyzed and interpreted. Based on the findings, recommendations were formulated to enhance the reliability of Digital Image Correlation measurements in both laboratory and industrial environments.

Open Access: Yes

DOI: 10.3390/engproc2025113035