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

{"title":"Chaotic Puma Optimizer Algorithm for controlling wheeled mobile robots","authors":"Mohamed Kmich ,&nbsp;Nawal El Ghouate ,&nbsp;Ahmed Bencharqui ,&nbsp;Hicham Karmouni ,&nbsp;Mhamed Sayyouri ,&nbsp;S.S. Askar ,&nbsp;Mohamed Abouhawwash","doi":"10.1016/j.jestch.2025.101982","DOIUrl":"10.1016/j.jestch.2025.101982","url":null,"abstract":"<div><div>The control of wheeled mobile robots plays a crucial role in many fields, including automation, logistics, security, and even space exploration. This paper presents a significant improvement in the control of wheeled mobile robots based on an enhanced version of the Puma optimization algorithm by integrating chaotic maps in both optimization phases, exploration and exploitation. The Chaotic Puma Optimizer Algorithm (CPOA) has been tested and proven effective on CEC’2022 benchmarks and three complex engineering problems. It has outperformed standard and improved metaheuristic algorithms in controlling nonlinear and time-varying wheeled mobile robots. The results show a notable improvement in terms of response time and stability, thus expanding the potential applications of this optimizer in various fields of engineering and robotics.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"63 ","pages":"Article 101982"},"PeriodicalIF":5.1,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131177","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":"Hybrid photovoltaic and thermoelectric generator systems with thermal wheel Ventilation: A sustainable approach to residential heating and cooling","authors":"Tian Congxiang ,&nbsp;Zhu Guoqing ,&nbsp;Yang Yong","doi":"10.1016/j.jestch.2025.101968","DOIUrl":"10.1016/j.jestch.2025.101968","url":null,"abstract":"<div><div>The growing need for sustainable energy solutions in residential buildings has driven research into renewable energy integration. While photovoltaic (PV) systems are well-explored, the combination of PV with thermal wheel (TW) systems and thermoelectric generator (TEG) units in thermoelectric ventilation (TEV) systems remains less studied. This paper investigates a hybrid system combining a concentrating PV (CPV)-TEG and a TW-TEV system for residential heating and cooling. Using energy and exergy analysis, two performance indicators, the Energy Proficiency Indicator (PIen) and the Exergy Proficiency Indicator (PIex), were introduced and calculated for a building in Jingzhou, Hubei, China. Results revealed peak PIen and PIex values of 2.44 and 33.55 in September and April, respectively. Additionally, increasing the number of thermoelectric coolers from 10 to 50 enhanced average yearly PIen and PIex by 60.45% and 81.32%. This study’s findings are significant for urban planners and engineers aiming to reduce energy consumption and emissions, offering a practical approach to sustainable building technologies.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101968"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168703","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":"State-of-the-art and future trends in electric vehicle charging infrastructure: A review","authors":"Sudev V.,&nbsp;Sindhu M.R.","doi":"10.1016/j.jestch.2025.101946","DOIUrl":"10.1016/j.jestch.2025.101946","url":null,"abstract":"<div><div>In this era of global warming and climate change, the trend towards “GO GREEN” is gaining significant attention because of its advantages for the world in general and society in particular. One of the most significant aspects of this “GO GREEN” is the sustainable mobility sector, which focuses not only on reducing the usage of fossil fuels but also on enhancing the efficiency of the transportation system. The most critical infrastructure required in the sustainable transportation ecosystem is the Electric Vehicle Charging Stations (EVCS) as it plays a crucial role in increasing the acceptance of Electric Vehicles (EVs). However, a detailed study of the existing EVCS infrastructure is vital for further deepening the research in this area so that future EVCS infrastructure can be developed by overcoming current shortcomings and addressing the needs of the EV ecosystem. Given this fact, this paper investigates in detail the significant aspects, current progress, and future trends associated with the EVCS and its sub-units like power converters, Energy Storage Systems (ESS), charging technologies, etc. This paper primarily focuses on the power converters and the charging technologies as this forms the ‘heart’ of an EVCS, while also elaborating on other associated topics like ESS, EVCS classification, etc. This paper also discusses in detail the issues faced while charging EVs in extreme weather conditions by considering the case of EVs not charging in Chicago in January 2024 and also discusses how the new charging techniques like Constant Current Constant Temperature Constant Voltage (CCCTCV) can help in overcoming such issues. Various important papers in these areas, their contributions, and shortcomings are deliberated in this paper. This paper also highlights the important power converter topologies and charging technologies, their features, characteristics, advantages and disadvantages, and their application scope in the EV ecosystem. The combination of conventional power converters with advanced control techniques, dynamic charging techniques, and post-Li-ion ESS will help in building a futuristic, reliable, and resilient EVCS infrastructure.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101946"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169382","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":"Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning","authors":"Wei Zhang,&nbsp;Yiyang Li","doi":"10.1016/j.jestch.2025.101951","DOIUrl":"10.1016/j.jestch.2025.101951","url":null,"abstract":"<div><div>In the context of user-side demand response, flexible resources in buildings such as air conditioners and electric vehicles are characterized by small individual capacities, large aggregate scales, and geographically dispersed distributions, necessitating integration by intelligence buildings (IRs). However, the optimization scheduling of IR clusters often involves detailed energy consumption data, posing privacy issues such as revealing household routines. The traditional aggregator-IRs bi-level architecture typically employs centralized or game-theoretic strategies for optimization scheduling, which struggle to balance efficiency and privacy simultaneously. To address this issue, this paper proposes a bi-level optimization scheduling strategy that balances efficiency and privacy. First, deep reinforcement learning models are established for both the aggregator and the IRs to address efficiency. Then, the trained demand response models of the IRs are encapsulated into strategy black boxes and uploaded to the aggregator’s deep reinforcement learning model. Throughout this process, the aggregator remains unaware of the user-side data, thus protecting user privacy. Additionally, considering that training IR strategy black box models is a parallel and similar process, this paper introduces the paradigm of federated learning to reduce learning costs and improve training efficiency on the IRs side. Furthermore, an adaptive clustering federated deep reinforcement learning method is proposed to address the heterogeneity of the IRs. Finally, case studies demonstrate the feasibility and effectiveness of the proposed method.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101951"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170275","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 performance and energy consumption efficiency of elliptical gear hydraulic pump and evaluation by Taguchi method","authors":"Mithat Yanikören","doi":"10.1016/j.jestch.2024.101941","DOIUrl":"10.1016/j.jestch.2024.101941","url":null,"abstract":"<div><div>This study presents an approach based on the Taguchi method to evaluate the energy consumption performance of spur and elliptical gear hydraulic pumps. Output flow is one of the essential indicators of gear pump performance. Taguchi L8 experimental design with two factors and mixed level design was applied to determine the gear pump performances. Rotational speed (200, 600, 1000 and 1400 rpm) and pump type (spur and elliptical) is selected as experimental parameters. Thus, the effect of the rotational speed of an elliptical gear pump on the gear pump flow and energy consumption performance is experimentally analyzed. The results of the analysis showed that the elliptical gear pump delivered approximately 120 % higher volumetric flow rate. In terms of pressure performance, the elliptical gear pump showed an advantage of around 87 %, providing higher pressure, especially at low speeds. In terms of energy consumption, the elliptical gear pump has been experimentally proven to consume approximately 145 % less energy at low speeds. It is also found that there is less temperature difference in the hydraulic fluid during operation of the elliptical gear pump. In addition, the elliptical gear pump exhibited a similar behavior tendency under high-loads as in the partia-loaded case.Elliptical gear pump can be said to be a new type of volumetric pump, which is better than the commonly used spur gear pump, especially in terms of output flow and energy consumption performance.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101941"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170276","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":"A review of artificial intelligence techniques for optimizing friction stir welding processes and predicting mechanical properties","authors":"Roosvel Soto-Diaz ,&nbsp;Mauricio Vásquez-Carbonell ,&nbsp;Jose Escorcia-Gutierrez","doi":"10.1016/j.jestch.2025.101949","DOIUrl":"10.1016/j.jestch.2025.101949","url":null,"abstract":"<div><div>The implementation of artificial intelligence (AI) has been instrumental in the optimization of friction stir welding (FSW) parameters. Artificial intelligence (AI) techniques, including artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS), were utilized to predict mechanical properties such as ultimate tensile strength (UTS) and optimize pivotal welding parameters, such as rotational speed, feed rate, axial force, and tilt angle. These methodologies enabled precise real-time control, thus improving the quality and consistency of the resulting welded joints. The objective of this study was to conduct a comprehensive review of the application of artificial intelligence (AI) techniques in friction stir welding (FSW). The objective of the study was to synthesize existing research using AI to predict mechanical properties and optimize welding parameters. Furthermore, the study aimed to illustrate how artificial intelligence has improved the caliber and dependability of FSW joints through real-time observation and defect identification. A systematic literature review was conducted according to the PRISMA guidelines to identify relevant studies on the utilization of AI in FSW. A search algorithm was applied to databases such as ScienceDirect and Web of Science, resulting in the identification of 27 relevant scientific papers. The selection criteria were designed to identify studies that employed AI techniques for the prediction and optimization of FSW parameters. The principal findings indicated the pervasive deployment of 34 distinct AI techniques, with ANN being the most prevalent. Hybrid models combining AI with optimization algorithms, such as particle swarm optimization (PSO) and genetic algorithms, were particularly effective. These models demonstrated high precision in predicting tensile strength and detecting internal defects, significantly improving joint quality. In conclusion, AI applications in FSW have proven essential for optimizing welding processes, with hybrid AI models showing superior performance. The continued integration of AI in FSW is expected to enhance the efficiency and reliability of welding operations, offering significant industrial advantages.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101949"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143170284","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":"Front Matter 1 - Full Title Page (regular issues)/Special Issue Title page (special issues)","authors":"","doi":"10.1016/S2215-0986(25)00046-1","DOIUrl":"10.1016/S2215-0986(25)00046-1","url":null,"abstract":"","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101991"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133990","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":"A dual-band microwave sensor for glucose measurements utilizing an enclosed split ring metamaterial-based array","authors":"Abhishek Kandwal ,&nbsp;Ziheng Ju ,&nbsp;Louis W.Y. Liu ,&nbsp;Rohit Jasrotia ,&nbsp;Choon Kit Chan ,&nbsp;Zedong Nie ,&nbsp;Ali M. Almuhlafi ,&nbsp;Hamsakutty Vettikalladi","doi":"10.1016/j.jestch.2025.101947","DOIUrl":"10.1016/j.jestch.2025.101947","url":null,"abstract":"<div><div>Diabetes is currently a major public health concern, partly exacerbated by the recent outbreak of coronavirus. Most of the published EM-wave based glucose sensors of this date allow a glucose concentration to be determined through a resonance frequency shift, inevitably with a questionable accuracy. To overcome the accuracy problem, a dual-band glucose sensor with dimensions 50 mm × 20 mm is proposed in this work to enable a glucose concentration to be measured at one resonance frequency band and cross-checked at another. An array of split-ring resonators (SRRs) was fabricated at a rectangular sensing area on the top surface of a 0.3 mm thick PET substrate, forming a metasurface with dual resonance bands at 4.5 GHz and 9.2 GHz. The backside of the PET substrate was fabricated with a defected ground plane designed to suppress the Q-factor associated with 4.5 GHz while leaving the Q-factor associated with 9.2 GHz unchanged. During a glucose concentration measurement, a drop of glucose solution was applied to the rectangular metasurface sensing area. The glucose concentration was determined in the form of a resonance frequency shift of the reflection coefficient at 4.5 GHz and a magnitude change of the reflection coefficient at 9.2 GHz. Consistent with our theoretical prediction, the fabricated sensor has indeed exhibited a dual resonant band characteristics, with one resonance occurring at 4.5 GHz and the other at 9.2 GHz. By measuring the reflection coefficient near 4.5 GHz, a positive and linear correlation in the log scale was observed between the glucose concentration and the resonant frequency shift with a sensitivity of 0.6 <span><math><mrow><mi>MHz</mi><mo>/</mo><mrow><mo>(</mo><mi>mg</mi><mspace></mspace><mspace></mspace><msup><mrow><mi>dL</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>)</mo></mrow></mrow></math></span>. At 9.2 GHz, there was no significant resonant frequency shift with varying glucose concentrations, but the magnitude of the reflection coefficient changed with the glucose concentration nonlinearly in an amount-dependent manner, with a sensitivity of 16.6 dB per unit glucose concentration within the clinical diabetic range. Overall, the log scale of the glucose concentration has exhibited a positive and linear correlation within the clinical diabetic range with both the resonant frequency shift at 4.5 GHz and the magnitude change at 9.2 GHz, thereby allowing the glucose concentration to be measured at 4.5 GHz and further cross-checked at 9.2 GHz at the same time.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101947"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168704","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":"Numerical prediction of strength and temperature changes within cemented paste backfill considering barricade stability","authors":"Di Wu ,&nbsp;Liang Liu ,&nbsp;Erol Yilmaz ,&nbsp;Shilong Zheng","doi":"10.1016/j.jestch.2025.101966","DOIUrl":"10.1016/j.jestch.2025.101966","url":null,"abstract":"<div><div>Manufacturing an intended recipe of tails, binder and water, cemented paste backfill (CPB) is employed to refill the cavities created in underground mining operations. To ensure that it remains stable and forms a solid structure, filling slurry must be supported by a rigid barricade at the bottom of the mining area. Fill structures’ process is guided via coupled thermal/hydraulic/mechanical/chemical developments, which can directly affect the stability of barricade. Hence, it is essential to study the pressure changes and distribution within the barricade. A fully coupled THMC numerical model was established in the current study in order to predict mechanical features and temperature changes inside CPB, and to measure effect of these changes on barricade’s stability. Predictive outcomes obtained from the model built were compared with the results of a field experiment, showing good consistency and thus proving model’s validity in mimicking evolution of temperature change and its effect on strength features of barricade in the course of backfill hydration. The verified multi-physical field model was used to numerically study the change of lateral pressure of barricade under different working conditions. The results show that properly increasing the initial temperature of CPB and increasing the distance between the barricade and the stope can effectively alleviate the lateral pressure on the barricade. The consequences of the existent research could offer a vital guideline on the topic of backfill barricade’s stability analysis.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101966"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143169200","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":"Enhanced sensing capabilities of UV–visible p-n and p-i-n photodiodes using unique layer and contact configurations","authors":"Ahmed Ali Alarabi ,&nbsp;Osman Çiçek ,&nbsp;Hasan Makara ,&nbsp;Fatih Ünal ,&nbsp;Merve Zurnacı ,&nbsp;Şemsettin Altındal","doi":"10.1016/j.jestch.2025.101975","DOIUrl":"10.1016/j.jestch.2025.101975","url":null,"abstract":"<div><div>This paper focuses on the ultraviolet–visible (UV–vis) light response of the p-n and p-i-n vertical self-powered photodiodes (PDs) based on p-PMItz/n-Si, p-PMItz/n-4HSiC and p-PMItz/i-SiO₂/n-Si Heterojunctions. The PDs, referred to as Device A-B-C-D-E and F according to the modified structures, were produced to increase the sensing capacity using distinct anode contacts. The basic fundamental parameters were recorded using the I-V data of PDs with thermionic emission theory (TE) and Ohm’s law. The results showed that, in line with the literature, the potential barrier height (Ф_Bo) decreased, and the ideality factor (n) increased with increasing illumination intensity. Additionally, the voltage-dependent series resistances (R_s) of PDs in the dark and under different UV–vis light intensities were determined using Ohm’s laws. It was recorded that R_s decreased as light intensity increased. On the other hand, the photosensitivity properties of PDs in UV–vis intensities depending on the voltage were investigated. The photosensitivity of the fabricated Device B reached a maximum of 4.05x10⁴ at short circuit voltage (V_sc = 0 V). In contrast, when self-powered, the short-circuit voltage (V_oc) showed better photosensitivity (with a minimum of 0.058). Additionally, the specific detectivity (D*) and the responsivity (R) of the PDs were calculated. According to the literature, the R and D* decreased with increasing power density at zero-bias voltage. Also, the R of Device B is higher, and D* is lower than other devices. The linear dynamic range (LDR) of Device A reaches ∼ 92 dB with maximum (V_bias = 0 V) while the dark current is 0.038 nA with minimum (in self-powered mode). Device B is considered suitable for the PDs (in self-powered mode) among other devices.</div></div>","PeriodicalId":48609,"journal":{"name":"Engineering Science and Technology-An International Journal-Jestech","volume":"62 ","pages":"Article 101975"},"PeriodicalIF":5.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168701","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}