Mingfei Chen , Renhao Zheng , Xuan Zhao , Dong Liu
{"title":"2D flame temperature and soot concentration reconstruction from partial discrete data via machine learning: A case study","authors":"Mingfei Chen , Renhao Zheng , Xuan Zhao , Dong Liu","doi":"10.1016/j.csite.2025.106005","DOIUrl":"10.1016/j.csite.2025.106005","url":null,"abstract":"<div><div>Flame reconstruction provides a valuable tool for understanding the thermodynamic properties of combustion. Based on the interrelation between different flame locations, this study proposed a new machine learning-based approach to reconstruct the overall 2D temperature and soot concentration from partial discrete data. Six cases were used to evaluate the reconstruction performance of different models (ANN, SVR, and RF), with accuracy assessed through visual observation, scatter plots, and error statistics. Results indicated that the machine learning models could well reconstruct the overall flame field from partial data, with their performance ranked as follows: RF > ANN > SVR. Moreover, the prediction accuracies of ANN, SVR, and RF for flame temperature were all superior to those for soot concentration. For the reconstruction of the temperature fields in Cases 1–3, the predicted values from the optimal RF model closely matched the measurement. For the reconstruction of soot concentration information in Cases 4–6, the predicted values from the RF also showed a similarity to the measurement. This methodology advanced flame reconstruction by leveraging the interrelation between data from different flame locations, enhancing the utilization efficiency of limited data and reducing the reliance on measurement resources.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106005"},"PeriodicalIF":6.4,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580321","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}
Mehmet Das , Erhan Arslan , Ebru Akpinar , Doğaç Baybars Isiler , Burcu Özsoy
{"title":"Evaluating the performance of four types of photovoltaic panels in Antarctica's extreme environment","authors":"Mehmet Das , Erhan Arslan , Ebru Akpinar , Doğaç Baybars Isiler , Burcu Özsoy","doi":"10.1016/j.csite.2025.106007","DOIUrl":"10.1016/j.csite.2025.106007","url":null,"abstract":"<div><div>This study experimentally evaluated the performance of four different photovoltaic (PV) systems on Horseshoe Island in Antarctica. The experiment, conducted near the Turkish Scientific Research Camp, examined the efficiencies of monocrystalline, polycrystalline, flexible, and transparent PV panels under summer conditions, while real-time meteorological data such as solar radiation, temperature, humidity, and wind speed were recorded. The power output and surface temperatures of the panels were analyzed, and energy and exergy efficiencies were calculated, along with assessments of environmental impact factors, the exergy sustainability index, and environmental-economic analyses. The power outputs obtained from the experiments were recorded as 14.2W, 13.0W, 12.9W, and 9.2W for monocrystalline, polycrystalline, flexible, and transparentpanels, respectively. The average surface temperatures were determined as 18.3 °C for monocrystalline, 18.2 °C for polycrystalline, 17.6 °C for flexible, and 16.5 °C for transparant panels. The highest energy efficiency was observed in the monocrystalline PV panel at 29.1 %, while the efficiencies of the other panels were calculated as 27.0 %, 27.5 %, and 21.5 %, with exergy efficiencies measured at 8.66 %, 8.39 %, 7.37 %, and 6.70 %, respectively. In the environmental analyses, the annual CO<sub>2</sub> emission reduction was calculated, with the monocrystalline PV panel providing the highest savings at 4.1 tons. From an economic perspective, the monocrystalline PV panel was also found to be the most advantageous, with a cost of $59.</div></div><div><h3>Keywors</h3><div>Antarctica, Horseshoe, solar panel, enegy-exergy, renewable energy.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106007"},"PeriodicalIF":6.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609846","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}
Shajar Abbas , Mushtaq Ahmad , Mudassar Nazar , S. Saleem , Ravil Isyanov , Jabr Aljedani , Hakim AL Garalleh
{"title":"Artificial neural network analysis of heat and mass transfer in fractional Casson flow","authors":"Shajar Abbas , Mushtaq Ahmad , Mudassar Nazar , S. Saleem , Ravil Isyanov , Jabr Aljedani , Hakim AL Garalleh","doi":"10.1016/j.csite.2025.105946","DOIUrl":"10.1016/j.csite.2025.105946","url":null,"abstract":"<div><div>This study applies the Atangana–Baleanu fractional derivative to model free convection flow of Casson fluid under combined thermal and concentration gradients, exothermic reactions, and chemical processes. The governing equations are transformed using the Laplace method, and artificial neural networks with the Levenberg–Marquardt algorithm are trained on 70% of the data, with 15% for testing and validation. Quantitative analysis demonstrates a mean squared error below <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mo>−</mo><mn>4</mn></mrow></msup></mrow></math></span>, indicating high accuracy in predicting flow characteristics. Results reveal that fluid velocity decreases with increasing fractional parameters, while temperature and concentration profiles are significantly affected by chemical and thermal parameters. Graphical and numerical analysis validate the model’s effectiveness in capturing the flow dynamics under fractional calculus.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 105946"},"PeriodicalIF":6.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562413","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}
Sinian Gu , Houyang Liu , Yang Wang , Zhichao Yu , Yunji Gao
{"title":"Experimental study on smoke temperature distribution and thermal-driven propagation in groove-like spaces under different fan arrangements","authors":"Sinian Gu , Houyang Liu , Yang Wang , Zhichao Yu , Yunji Gao","doi":"10.1016/j.csite.2025.105926","DOIUrl":"10.1016/j.csite.2025.105926","url":null,"abstract":"<div><div>In order to explore the fire smoke temperature and propagation characteristics of the groove space under the overpass considering different fan spacing arrangements, a series of gas fire experiments were carried out in the reduced fire experiment platform of groove-like space. Three fire source powers and four fan arrangement conditions are selected. The essential parameters in the groove space under different fire powers and fan layout spacing are obtained and analyzed, including flame shape, flame height, longitudinal temperature distribution, smoke expansion length and smoke propagation speed. The main findings are as follows: The flame height decreases with the decrease of fan spacing and heat release rate. The flame height is proportional to the 2/5 power of the heat release rate, and the proportional coefficient decreases from 10.99 to 7.80 as fan spacing decreases. The maximum smoke temperature is determined by the 2/3 power of the heat release rate and the minus 5/3 power of the ceiling height, and the fitted coefficient <span><math><mrow><mi>β</mi></mrow></math></span> changes from 18.29 to 11.02 as the fan spacing decreases. The longitudinal temperature distributions in the upstream and downstream of the fire source in the groove space are similar, and the dimensionless longitudinal smoke temperature distribution decreases exponentially with longitudinal distance, and the fitting coefficients <span><math><mrow><msup><mi>k</mi><mo>′</mo></msup></mrow></math></span> and <span><math><mrow><msub><mi>y</mi><mn>0</mn></msub></mrow></math></span> decrease as the fan spacing decreases. Under no fan and 9.0 m fan spacing conditions, the smoke expansion length is greater than 5.0 m, while when the fan spacing is 6.0 m or 3.0 m, the smoke expansion length decreases significantly. Moreover, the average smoke propagation speed increases from 0.45 m/s to 1.0–1.3 m/s as fan spacing decreases.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 105926"},"PeriodicalIF":6.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593339","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 and machine learning-based identification of a solar thermal system for domestic hot water and direct solar floor heating","authors":"Yassine Bouguergour , Sayeh Menhoudj , Abderrahmane Mejedoub Mokhtari , Karim Dehina , Abdelatif Zairi , Romain Mege , Mohammed-Hichem Benzaama","doi":"10.1016/j.csite.2025.105935","DOIUrl":"10.1016/j.csite.2025.105935","url":null,"abstract":"<div><div>This study investigates the energy performance of a combined solar underfloor heating and domestic hot water (DHW) system using an innovative approach that combines experimental data and mathematical modeling. The PieceWise Affine Auto-Regressive eXogenous (PWARX) model was employed to identify discrete operational states and optimize the system’s performance. Three configurations were analyzed under winter conditions: (1) the solar underfloor heating system achieved 130 % energy coverage, maintaining stable temperatures between 17 °C and 19.5 °C; (2) the DHW system with a 300 L storage tank recorded a 71 % coverage, optimizing circulator operation and thermal energy storage; and (3) the combined system demonstrated synergy between the components, balancing energy production with a minimum coverage of 45 %.</div><div>The PWARX model identified four distinct operational states, correlating solar radiation with the system’s thermal response, providing insights for energy management and system optimization. The findings underline the potential of the PWARX model to enhance the design and efficiency of solar thermal systems. This study contributes to the energy transition by proposing effective and adaptable solutions for maximizing solar energy utilization in the residential sector.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 105935"},"PeriodicalIF":6.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580796","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}
Mohamed A. Hamied , Mina Atta , Pedro García-Regodeseves , Juan Carlos Ríos-Fernández
{"title":"A novel sequential approach through structural enhancements for designing a new serrated helical heat exchanger","authors":"Mohamed A. Hamied , Mina Atta , Pedro García-Regodeseves , Juan Carlos Ríos-Fernández","doi":"10.1016/j.csite.2025.106006","DOIUrl":"10.1016/j.csite.2025.106006","url":null,"abstract":"<div><div>The current investigation examines the impact of three structural alterations on the thermal efficiency of the shell and helical tube heat exchanger. The helical tube heat exchanger modifications implemented in the initial model are changing the shell diameter, implementing baffles inside the shell domain and changing the base shape of the helical coil to an innovated serrated-shaped helical tube. All the numerical models are investigated using k-epsilon turbulence model for cold shell flow rate 2–6 kg/min which is commonly used in different industrial applications. The performance of the numerical model for the heat exchanger was validated by comparison with experimental data and previously published experimental and numerical studies, demonstrating a maximum error of approximately 2 %. The study's major findings include various criteria, such as effectiveness for assessing the heat exchanger's performance. Research findings indicate how the serrated helical tube significantly enhances the performance of the helical tube heat exchanger performance around 30 % compared to the conventional one. However, the U-factor of the serrated helical tube is increased by 70 % compared with the conventional and 34 % compared to baffled helical tube heat exchanger. The serrated helical tube heat exchanger significantly improves performance.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106006"},"PeriodicalIF":6.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593195","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}
Walid Aich , Somayeh Davoodabadi Farahani , Hussien Zekri , Ahmed Mir , Lioua Kolsi
{"title":"GMDH-neural network approaches for packed bed thermal energy system based on PCM integrated with a porous medium and magnetic field","authors":"Walid Aich , Somayeh Davoodabadi Farahani , Hussien Zekri , Ahmed Mir , Lioua Kolsi","doi":"10.1016/j.csite.2025.106002","DOIUrl":"10.1016/j.csite.2025.106002","url":null,"abstract":"<div><div>Packed bed thermal energy systems (PBTES) are recognized as one of the innovative technologies in the field of energy storage. This study numerically investigates the effects of a porous medium, magnetic field, mechanical vibrations, and various configurations of concrete-phase change material (PCM) on the performance of PBTES. The results indicate that substituting PCM for concrete can increase the discharge-to-charge energy ratio by over 300 times. The presence of a porous medium in the PBTES system with PCM significantly enhances the charge energy ratio (by 3.81–4.14 times) compared to scenarios without a porous medium, due to its influence on the melting process of the PCM. The presence of a magnetic field, along with an increase in its intensity, positively affects the melting process and enhances charge energy, potentially increasing it by approximately 4.132–5.281 times compared to cases without a magnetic field. Mechanical vibrations also influence charge energy in the PBTES system, resulting in an improvement of 4.41–4.56 times compared to the no-vibration scenario, with optimal efficiency achieved at A = 1e-5 m and f = 0.1 Hz. Notably, the use of a porous medium, magnetic field, and forced vibrations reduces discharge energy by approximately 0.34–0.37, 0.36 to 0.47, and 0.39 to 0.41 times, respectively, compared to the baseline scenario. Utilizing the Group Method of Data Handling (GMDH) neural network model based on the available data in this study, the discharge energy to charge energy ratio has been estimated, and the model has accurately predicted the desired parameter with a high degree of precision.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106002"},"PeriodicalIF":6.4,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593335","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}
Thandavamoorthy Raja , Yuvarajan Devrajan , Saheb Ali , Natrayan L
{"title":"Comprehensive analysis of thermal properties and stability in palm fiber-reinforced PLA composites with bran filler for sustainable lightweight materials","authors":"Thandavamoorthy Raja , Yuvarajan Devrajan , Saheb Ali , Natrayan L","doi":"10.1016/j.csite.2025.106003","DOIUrl":"10.1016/j.csite.2025.106003","url":null,"abstract":"<div><div>This study investigates the dynamic and thermal stability of palm fiber-reinforced polylactic acid (PLA) composites enhanced with bran filler to develop lightweight and sustainable materials. Composites were prepared with varying bran filler content (5–25 g), while keeping fiber content constant (250 g) and adjusting the PLA matrix accordingly. Mechanical, thermal, and microstructural properties were analyzed. Among the samples, the composite with 15 g bran filler (S3) exhibited the best overall performance. It demonstrated superior fatigue strength (25 MPa at 5000 cycles), enhanced fiber-matrix adhesion, and reduced porosity. Dynamic mechanical analysis confirmed S3's highest storage modulus (2400 MPa at 110 °C) and damping factor (tan δ = 0.340 at 130 °C), indicating excellent viscoelastic properties. Thermal analysis showed improved heat resistance, with the highest heat deflection temperature (134 °C) and lowest thermal conductivity (0.65 W/mK). Thermogravimetric analysis further validated its superior thermal stability, with an onset degradation temperature of 350 °C and the highest residual char (18 %) at 500 °C. These results highlight that moderate bran filler reinforcement optimizes composite performance, while excessive filler can reduce effectiveness. This study presents a novel approach to enhancing PLA composites, making them optimistic for sustainable applications such as automotive components, structural biocomposites, and biodegradable packaging.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106003"},"PeriodicalIF":6.4,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609745","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":"Investigation of temperature distribution in friction stir welding with experimental and regression algorithms","authors":"Mehmet Erbil Özcan","doi":"10.1016/j.csite.2025.106004","DOIUrl":"10.1016/j.csite.2025.106004","url":null,"abstract":"<div><div>In this current study, the joining process performed by friction stir welding, which has become very popular recently and has started to be used in many sectors, and then the temperature analysis of this welding process was performed. The temperature values obtained during the process carried out in traditional friction stir welding and the temperature values reached in the welding process using insulation material were compared with real experiments and analyzed with Taguchi and ANOVA methods by applying experimental designs in the Minitab program. In addition, the empirical formulas obtained by performing PACE regression analysis and the temperature values obtained from experimental studies, their results and error rates were found. By using these methods, more realistic results were obtained with fewer experiments in order to reduce the cost of their implementation, and the results were evaluated accordingly. It also helped to create a less costly roadmap for subsequent experiments.</div><div>In the experiments, the desired welding process was carried out at a 15 % lower temperature using insulation material; with the formulas obtained as a result of PACE regression analysis, it was seen that the experiment with the lowest error rate was the experiment with 1200 RPM and insulation material.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106004"},"PeriodicalIF":6.4,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580794","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":"Buoyancy-driven nanomaterial viscoplastic flow configured by magnetized stretchy regime in frames of varying thermo-solutal properties: Cattaneo-christov formulation","authors":"M. Ijaz Khan","doi":"10.1016/j.csite.2025.106001","DOIUrl":"10.1016/j.csite.2025.106001","url":null,"abstract":"<div><div>Nanomaterials have achieved considerable importance for their astonishing heat transference aptitudes and distinct utilizations across energy storage, biomedical technologies, solar systems, electronic cooling and nuclear reactors. Comprehending their heat transportation performance is essential for strengthening their execution across these industries. In this research, a steady-state viscoplastic model subject to generalized fluxes which includes thermosolutal relaxation time characteristics is formulated. Buoyancy-driven convective flow induced by stretchable convective surface is under consideration. Transport expressions are subject to Brownian diffusion, improved Fourier relation, thermophoresis, varying conductivity, chemical reaction, improved Fickian relation and varying diffusivity. Apposite variables are deployed for non-dimensionalization. The obtained non-dimensionalized mathematical model is analytically tackled through homotopic series solution approach. The graphical analysis of dimensionless distributions (that is concentration, velocity, skin-friction and temperature) for sundry physical factors is elaborated. The analytically computed outcomes are compared with existing schemes and a reasonable agreement is found. Besides, it is investigated that escalating material factor yields lower velocity.</div></div>","PeriodicalId":9658,"journal":{"name":"Case Studies in Thermal Engineering","volume":"69 ","pages":"Article 106001"},"PeriodicalIF":6.4,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143580706","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}