Engineering Science and Technology-An International Journal-Jestech最新文献

{"title":"Binary classification of Low-Rate DoS attacks using Long Short-Term Memory Feed-Forward (LSTM-FF) Intrusion Detection System (IDS)","authors":"Suhaila ZeinElabideen Omer ,&nbsp;Fazirulhisyam Hashim ,&nbsp;Aduwati Sali ,&nbsp;Faisul Arif Ahmad","doi":"10.1016/j.jestch.2025.102049","DOIUrl":"10.1016/j.jestch.2025.102049","url":null,"abstract":"<div><div>The data and size of networks have grown substantially due to the rapid development of the Internet and other communication techniques. This has led to the development of numerous new types of attacks, making it harder for network security to detect intrusions accurately. The goal of a Denial of Service (DoS) attack is to overwhelm a target with malicious traffic, exhausting its processing power and network bandwidth. Traditional DoS attacks rely on brute force techniques, making them easier to detect, whereas low-rate and slow attacks pose a greater threat due to their stealthy nature. These attacks target application or server resources with a prolonged trickle of traffic, requiring minimal bandwidth yet making mitigation challenging. Their low resource footprint allows them to degrade or deny service to legitimate users while remaining undetected for extended periods. This research introduces an advanced Intrusion Detection System (IDS) that utilizes a hybrid Long Short-Term Memory Feedforward (LSTM-FF) Neural Network to tackle existing challenges in detecting low-rate DoS (LR-DoS) attacks. Unlike previous models, our approach combines temporal sequence learning with feature refinement, thereby improving the detection of LR-DoS. Additionally, we incorporate automated feature selection using Random Forest, which optimizes efficiency while maintaining interpretability. For model training and evaluation, we use the CIC-DOS2017 dataset, which includes eight distinct types of LR-DoS attacks. To enhance generalizability, we also utilize the CSE-CIC-IDS2018 dataset and the newly introduced LR-HR-DDOS2024 dataset, specifically designed for Software-Defined Networking (SDN)-based environments. To address the class imbalance, we implement a stratified k-fold cross-validation strategy, ensuring robust performance across various attack scenarios. To thoroughly evaluate model performance, we adopt a comprehensive set of metrics, including accuracy, precision, recall, F1-score, specificity, False Alarm Rate (FAR), and ROC-AUC. This ensures a well-rounded validation of our approach. The model surpassed all previous state-of-the-art models with an impressive accuracy of 99.70%, precision of 99.47%, specificity of 99.97%, and an F1-score of 97.52%, all while retaining a low FAR of roughly 0.03%. The LSTM-FF approach also worked well in multi-class classification, with a 99.54% accuracy rate, 93.19% precision, 99.59% specificity, 90.28% F1 score, and 0.40% FAR.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"66 ","pages":"Article 102049"},"PeriodicalIF":5.1,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fitting method of concrete damage Poisson’s ratio model based on Kolmogorov-Arnold network","authors":"Yu Yang,&nbsp;Jiahui Xu,&nbsp;Qiangbing Zhou,&nbsp;Shichao Kong,&nbsp;Keyi Lin","doi":"10.1016/j.jestch.2025.102052","DOIUrl":"10.1016/j.jestch.2025.102052","url":null,"abstract":"<div><div>The prediction model for the Poisson’s ratio of concrete damage is of significant importance in the field of Structural Health Monitoring (SHM). Seeking a concrete damage Poisson’s ratio prediction model that comprehensively reflects the characteristics of concrete while also being simple and accurate is a challenging task. This study proposes a combination of the Kolmogorov-Arnold Network (KAN), which can fit complex nonlinear relationships with high precision, and the Finite Element Method (FEM) to address this challenge. The research first summarizes the influencing factors of the concrete damage Poisson’s ratio model from classical theories, then uses data obtained from measurements and finite element analysis to train the KAN to develop the concrete damage Poisson’s ratio prediction model. Finally, the accuracy of the model is validated on a test set, and its performance is compared with that of Multi-Layer Perceptron (MLP) networks and classical models. The validation results indicate that the formula model trained by KAN achieves a Root Mean Square Error (RMSE) of 0.055 when predicting the damage Poisson’s ratio of actual test specimens, outperforming four classical models (RMSE ≥ 0.176). The novelty of this study lies in the innovative application of KAN in the concrete damage Poisson’s ratio prediction model, as well as the approach of combining a small amount of measured data with FEM to enhance the efficiency of generating training and testing data. This research not only validates the interpretability and accuracy of KAN but also demonstrates the practicality and effectiveness of the KAN and FEM combination method in the application of predicting the concrete damage Poisson’s ratio, making a significant contribution to the field.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"66 ","pages":"Article 102052"},"PeriodicalIF":5.1,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bayesian curriculum generation in sparse reward reinforcement learning environments","authors":"Onur Akgün ,&nbsp;N. Kemal Üre","doi":"10.1016/j.jestch.2025.102048","DOIUrl":"10.1016/j.jestch.2025.102048","url":null,"abstract":"<div><div>This paper introduces the Bayesian Curriculum Generation Algorithm, a sophisticated approach for curriculum learning in sparse reward reinforcement learning contexts. Diverging from traditional methodologies, this algorithm utilizes Bayesian networks to dynamically create tasks by altering problem parameters, thereby impacting task difficulty. It operates independently from the core reinforcement learning algorithm, enabling compatibility with a variety of RL techniques. A notable feature of our algorithm is its capability for unsupervised task classification, utilizing a clustering process applicable to both image outputs and scalar values. This method efficiently categorizes tasks based on difficulty, circumventing the need for exhaustive training for each task. However, the effectiveness of this approach is contingent upon the presence of definable parameters within the environment and necessitates domain expertise to determine the appropriate tool, be it image output or scalar parameter analysis. The algorithm selects tasks from a curated pool corresponding to specific difficulty levels and adapts according to the agent’s performance. Successful task completion triggers the generation of more complex tasks, whereas encountering challenges results in the maintenance or minor adjustment of task complexity. This adaptive feature significantly enhances the efficiency of the learning process. Empirical evaluations conducted in various environments, characterized by maze-like structures, discrete or continuous settings, and the presence of adversarial entities hindering the agent’s mission, demonstrate the algorithm’s efficacy and its superiority over conventional methods. The Bayesian Curriculum Generation Algorithm represents a significant advancement in reinforcement learning, providing a dynamic and adaptable solution for complex learning challenges.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"66 ","pages":"Article 102048"},"PeriodicalIF":5.1,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Time–frequency ensemble network for wind turbine mechanical fault diagnosis","authors":"Haiyu Guo ,&nbsp;Xingzheng Guo ,&nbsp;Xiaoguang Zhang ,&nbsp;Fanfan Lu ,&nbsp;Chuang Liang","doi":"10.1016/j.jestch.2025.102056","DOIUrl":"10.1016/j.jestch.2025.102056","url":null,"abstract":"<div><div>Wind turbines typically operate under variable speed conditions, so the collected vibration signals are affected by non-linearity and information mixing, while also containing a large amount of noise interference. However, most existing methods extract fault features from a single domain, failing to capture the signals’ diverse and complex characteristics. To fully exploit multi-domain discriminative features under variable speed conditions, this paper proposes a time–frequency ensemble network (TFNet). First, the feature representation is improved by constructing an adaptive spectral block (ASB) using Fourier analysis, while an adaptive threshold is introduced to reduce noise interference. Second, the Transformer and Graph Convolutional Network (GCN) are combined to extract the time–frequency discriminative features of defects. Specifically. In the time domain module, the global time domain features of faults are extracted by the Transformer encoder block. In the frequency domain module, a mixhop graph convolutional network is used to extract the multi-scale frequency domain features of different neighbours, and a Multi Head Attention (MHA) mechanism is introduced to capture the intra-feature dependencies. To achieve better diagnostic results under variable speed conditions, a label smoothing algorithm is used to assist the training of the model. A case study is conducted using the WT-Planetary gearbox dataset and the XJTUSuprgear variable speed gearbox dataset as well as the CWRU Bearing dataset. The experimental results show that the proposed model has high diagnostic accuracy and strong generalisation ability compared to other fault diagnosis models.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"66 ","pages":"Article 102056"},"PeriodicalIF":5.1,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complex latency dynamics of biological neuron model under effect of electromagnetic induction","authors":"Ali Calim","doi":"10.1016/j.jestch.2025.102038","DOIUrl":"10.1016/j.jestch.2025.102038","url":null,"abstract":"<div><div>In this study, the effect of electromagnetic induction on spike latency dynamics in the Hodgkin–Huxley (H–H) neuron is investigated. It has been shown that the timing of first spikes is an effective information carrier and delay in the first spike contains more neuronal information compared to subsequent spikes. The first spike latency can increase significantly by stochastic perturbations, and this is known as noise delayed decay (NDD) phenomenon. On the other hand, due to micro level biophysical activities, particularly transport of ions across the cell membrane causes a temporary and changing electromagnetic field, which forms a feedback contribution to that neuron. Here, we aim to understand the effects of induction current produced by such electromagnetic field on the first spike timing behavior in a single stochastic Hodgkin–Huxley model neuron. To achieve this aim, we demonstrate the dynamic behavior of stochastic neuron regarding spike latency depending on channel noise intensity at varying signal frequency. We show that NDD behavior apparently emerges at critical suprathreshold frequencies. Our results have also shown that electromagnetic induction can decrease the first spike latency and that it becomes easier for the neuron exposed to relatively higher electromagnetic fields to emit reasonably rapid firings. This implies that electromagnetic induction can regulate the functional role of spike latency and remove undesired impacts of NDD.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"66 ","pages":"Article 102038"},"PeriodicalIF":5.1,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143792835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental investigation of the effect of nano fluid use on heat transfer in unmanned aircraft cooling system with different types of wing geometry","authors":"Abdulsamed Güneş ,&nbsp;Beytullah Erdoğan ,&nbsp;Gülşah Çakmak","doi":"10.1016/j.jestch.2025.102059","DOIUrl":"10.1016/j.jestch.2025.102059","url":null,"abstract":"<div><div>Unmanned aerial vehicles (UAVs) have performed critical tasks such as air dominance, national security, wildlife surveillance, damage detection studies after natural disasters, early intervention in forest fires, management activities, explosions, and logistics. UAVs, which perform these critical tasks and whose importance has been increasing in the world in recent years, experience a loss of thermal efficiency in their cooling systems at critical times during flight. In order to optimize cooling mechanisms for UAVs, this study aims to redesign existing cooling fins. In addition, it is planned to use nanofluids instead of traditional coolants in these radiators. In addition to the increased cooling performance with the use of nanofluid, it has been determined that this effect is further increased by the use of new design parts (Radiator-F1, Radiator-F2, Radiator-F3) consisting of louver type fin structures with different fin geometries in number and pattern compared to standard flat fins (Radiator-S). In these newly designed cooling systems were tested at flow rates of 20 and 22 lt/min, a temperature of 70 °C, and an inlet pressure of 0.2 bar are focused on increasing the cooling efficiency of the coolers. Experiments were carried out on standard and newly designed radiators using Al₂O₃, ZnO and CuO nanofluids at 0.3 % volumetric concentration for thermal performance measurement. The heat transfer in Radiator-S using pure water was calculated as 9.02 kW. The heat transfer amount in the newly designed Radiator-F1 using pure water was the highest and increased by approximately 23 %. The heat transfer increase in Radiator-F1 using CuO nanofluid was the highest and was determined to be approximately 38 % compared to using pure water in Radiator-S. Thermal conductivity and viscosity ratios increased compared to pure water. The highest increase in thermal conductivity was approx 18 % in ZnO nanofluid and viscosity was approx 16 % in Al₂O₃ nanofluid.</div><div>The improvement resulting from the findings increases the operational capabilities of the (UAVs). In addition, the lightness resulting from a more compact system indirectly increases the flight duration. These results demonstrate significant improvements in cooling performance for UAV applications.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"65 ","pages":"Article 102059"},"PeriodicalIF":5.1,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-gain adaptive observer for floating voltages estimation and capacitor aging monitoring in multicell converters","authors":"Boukhalfa Nait Slimani ,&nbsp;Malek Ghanes ,&nbsp;Said Djennoune","doi":"10.1016/j.jestch.2025.102036","DOIUrl":"10.1016/j.jestch.2025.102036","url":null,"abstract":"<div><div>In multicell converters, capacitors play a critical role in energy management and voltage stabilization of each cell. They ensure balanced regulation of floating voltages and minimize energy losses during switch commutations. However, capacitor aging leads to increased dielectric losses, equivalent series resistance (ESR), and energy dissipation, which degrade the performance of the converter and increase the risk of failure. Consequently, effective monitoring of capacitor aging is essential. Moreover, in such converters, estimating the voltages across flying capacitors is crucial for the synthesis of most control laws. To address these dual issues, this paper proposes a high-gain adaptive observer capable of simultaneously estimating the parameters and state variables of multicell converters. This approach enables real-time monitoring of capacitor aging while estimating floating voltages. Novel hybrid dynamic models of the converter are introduced, incorporating equivalent series resistance and equivalent capacitance as parameters to be estimated to account for capacitor aging. The observer is designed to estimate the voltages of flying capacitors, the load resistance, and the dielectric loss resistance due to aging. Its design relies on a thorough analysis of the observability of states and parameters, which depends on the discrete states of the converter, and its stability is demonstrated using the Lyapunov approach. Numerical simulations performed on a three-cell converter demonstrate the effectiveness of the proposed observer in estimating the voltages of flying capacitors and simultaneously monitoring their health.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"65 ","pages":"Article 102036"},"PeriodicalIF":5.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Designing and analysis of flexible four legged-loaded metamaterial absorber sensor for permittivity detection of a solid substrate","authors":"Shihabun Sakib ,&nbsp;Mohammad Tariqul Islam ,&nbsp;Ahasanul Hoque ,&nbsp;Abdulmajeed M. Alenezi ,&nbsp;Mohamed S. Soliman ,&nbsp;Haitham Alsaif","doi":"10.1016/j.jestch.2025.102051","DOIUrl":"10.1016/j.jestch.2025.102051","url":null,"abstract":"<div><div>This article proposes a metamaterial absorber (MMA) based sensor with solid permittivity analysis. MMA application has received significant interest across multiple domains, including sensors, wireless communication, detectors, emitters, antenna design, and spatial light modulators. The suggested absorber consists of circular and rectangular split-ring resonators with an inner four-lagged loaded copper patch. This configuration is designed to produce a distinct resonance at 2.615 GHz. The associated absorption rate at this resonance is 99.98 %. The study involved the extraction and subsequent analysis of the complex values related to the permittivity, permeability, refractive index, and impedance of MMA. There is no significant change in reflection and transmission coefficients for 15° bends of array and unit cell, due to which the proposed MMA can be used for conformal applications. The validity of the sensor is analyzed by comparing between known and measured permittivity of the Roger substrate. The average and normalized sensitivity are 107.55 MHz and 4.113 %. The sample thickness is finalized from 0.4 to 1.4 mm on the basis of the reflection coefficient of the sensor shifted linearly towards lower frequency. Sample thickness analysis is crucial for any sensor model. However, most reported articles have unnoted this analysis. Additionally, the sensor is equipped with an un-metalized Roger RT5880 dielectric slab with nine 1.5 mm (diameter) holes. The holes caused Roger RT5880′s dielectric constant to change; the sensor effectively traced the change in the sample’s dielectric constant. Overall, the proposed material exhibits a high absorption efficiency, miniature size (29.4 × 29.4 mm²), low cost, simple structure, and can resist the environmental factors that cause cross-sensitivity, making it an attractive candidate for permittivity sensors for solid substrates.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"65 ","pages":"Article 102051"},"PeriodicalIF":5.1,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel distance-fitness learning scheme for ameliorating metaheuristic optimization","authors":"Emre Çelik ,&nbsp;Essam H. Houssein ,&nbsp;Mahmoud Abdel-Salam ,&nbsp;Diego Oliva ,&nbsp;Ghanshyam G. Tejani ,&nbsp;Nihat Öztürk ,&nbsp;Sunil Kumar Sharma ,&nbsp;Mohammed Baljon","doi":"10.1016/j.jestch.2025.102053","DOIUrl":"10.1016/j.jestch.2025.102053","url":null,"abstract":"<div><div>An important portion of metaheuristic algorithms is guided by the fittest solution obtained so far. Searching around the fittest solution is beneficial for speeding up convergence, but it is detrimental considering local minima stagnation and premature convergence. A novel distance-fitness learning (DFL) scheme that provides better searchability and greater diversity is proposed to resolve these. The method allows search agents in the population to actively learn from the fittest solution, the worst solution, and an optimum distance-fitness (ODF) candidate. This way, it aims at approaching both the fittest solution and ODF candidate while at the same time moving away from the worst solution. The effectiveness of our proposal is evaluated by integrating it with the reptile search algorithm (RSA), which is an interesting algorithm that is simple to code but suffers from stagnating in local minima, converging too early, and a lack of sufficient global searchability. Empirical results from solving 23 standard benchmark functions, 10 Congresses on Evolutionary Computation (CEC) 2020 test functions, and 2 real-world engineering problems reveal that DFL boosts the capability of RSA significantly. Further, the comparison of DFL-RSA with popular algorithms vividly signifies the potential and superiority of the method over most of the problems in terms of solution precision.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"65 ","pages":"Article 102053"},"PeriodicalIF":5.1,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of polarization potential on tribocorrosion behavior of duplex stainless steel UNS S32205 in NaCl solution","authors":"Jomar José Knaip Ribeiro ,&nbsp;Oriana Palma Calabokis ,&nbsp;Yamid Enrique Nuñez de la Rosa ,&nbsp;Silvio Francisco Brunatto ,&nbsp;Paulo César Borges","doi":"10.1016/j.jestch.2025.102047","DOIUrl":"10.1016/j.jestch.2025.102047","url":null,"abstract":"<div><div>This study explores the effects of anodic, cathodic, and open circuit (OCP) potentials on the tribocorrosion behaviour of the UNS S32205 duplex stainless steel, which is largely used in oil, gas, and cellulose industry. For this purpose, tribocorrosion assays using a contact sphere (Si₃N₄) against the specimen plane in reciprocating sliding movement in 0.5 M NaCl solution were carried out. For comparison purposes, cathodic polarization or tests without applied potential under distilled water (DW) were used to inhibit corrosion for tribocorrosion tests. Two main distinct behaviours were observed: i) high coefficients of friction and lower wear volumes at the cathodic polarization (CP) for conditions smaller or equal to –0.8 V (vs Ag/AgCl 3 M) as well as in DW; and ii) low coefficients of friction and higher wear volumes for anodic polarization (AP), OCP, and CP for –0.4 V. The tribocorrosion behaviour of both groups was directly related to the chemical characteristics inside the tracks analyzed using SEM-EDS and Raman spectroscopy. All analyzed tracks showed similar oxygen contents and chemical compositions within each group. Finally, this study allowed the determination of the great effect of the potential applied on the tribocorrosion behaviour and the identification of differences between the cathodic protection and distilled water assays as methods to inhibit corrosion.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"65 ","pages":"Article 102047"},"PeriodicalIF":5.1,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}