{"title":"具有温度相关特性的空间分数直鳍模型的射击法数值研究","authors":"Fran Sérgio Lobato , Fábio de Oliveira Arouca","doi":"10.1016/j.tsep.2025.103640","DOIUrl":null,"url":null,"abstract":"<div><div>Traditionally, models based on physical phenomena are represented by integer-order differential equations. The extension to non-integer (fractional) orders represents a significant advancement in modeling highly nonlinear systems. However, fractional differential models introduce greater complexity compared to integer-order models. This study aims to analyze the physical parameters and evaluate the influence of fractional orders on the temperature and efficiency profiles of fins. To achieve this, the original two-point boundary value problem is transformed into an equivalent single-point problem using the Shooting Method. The resulting system is then solved using the Fractional Adams Predictor–Corrector Method. To validate the proposed approach, two straight fins with temperature-dependent properties are considered. The results demonstrate that the proposed methodology is a promising strategy for solving both integer and fractional order problems. The change in the fractional order influences the model parameters and, consequently, the temperature profiles and fin efficiency. Furthermore, depending on the fractional order, the temperature profile may be distorted in relation to the integer-order model, and the heat transfer process may be faster (or slower) in fractional order models compared to those with an integer order. Regarding the integer-order model, the fin efficiency can be maximized by choosing an appropriate fractional order.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"62 ","pages":"Article 103640"},"PeriodicalIF":5.1000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Numerical investigation of the Space-Fractional Straight Fin Model with temperature-dependent properties using the Shooting Method\",\"authors\":\"Fran Sérgio Lobato , Fábio de Oliveira Arouca\",\"doi\":\"10.1016/j.tsep.2025.103640\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Traditionally, models based on physical phenomena are represented by integer-order differential equations. The extension to non-integer (fractional) orders represents a significant advancement in modeling highly nonlinear systems. However, fractional differential models introduce greater complexity compared to integer-order models. This study aims to analyze the physical parameters and evaluate the influence of fractional orders on the temperature and efficiency profiles of fins. To achieve this, the original two-point boundary value problem is transformed into an equivalent single-point problem using the Shooting Method. The resulting system is then solved using the Fractional Adams Predictor–Corrector Method. To validate the proposed approach, two straight fins with temperature-dependent properties are considered. The results demonstrate that the proposed methodology is a promising strategy for solving both integer and fractional order problems. The change in the fractional order influences the model parameters and, consequently, the temperature profiles and fin efficiency. Furthermore, depending on the fractional order, the temperature profile may be distorted in relation to the integer-order model, and the heat transfer process may be faster (or slower) in fractional order models compared to those with an integer order. Regarding the integer-order model, the fin efficiency can be maximized by choosing an appropriate fractional order.</div></div>\",\"PeriodicalId\":23062,\"journal\":{\"name\":\"Thermal Science and Engineering Progress\",\"volume\":\"62 \",\"pages\":\"Article 103640\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2025-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thermal Science and Engineering Progress\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2451904925004305\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thermal Science and Engineering Progress","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451904925004305","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Numerical investigation of the Space-Fractional Straight Fin Model with temperature-dependent properties using the Shooting Method
Traditionally, models based on physical phenomena are represented by integer-order differential equations. The extension to non-integer (fractional) orders represents a significant advancement in modeling highly nonlinear systems. However, fractional differential models introduce greater complexity compared to integer-order models. This study aims to analyze the physical parameters and evaluate the influence of fractional orders on the temperature and efficiency profiles of fins. To achieve this, the original two-point boundary value problem is transformed into an equivalent single-point problem using the Shooting Method. The resulting system is then solved using the Fractional Adams Predictor–Corrector Method. To validate the proposed approach, two straight fins with temperature-dependent properties are considered. The results demonstrate that the proposed methodology is a promising strategy for solving both integer and fractional order problems. The change in the fractional order influences the model parameters and, consequently, the temperature profiles and fin efficiency. Furthermore, depending on the fractional order, the temperature profile may be distorted in relation to the integer-order model, and the heat transfer process may be faster (or slower) in fractional order models compared to those with an integer order. Regarding the integer-order model, the fin efficiency can be maximized by choosing an appropriate fractional order.
期刊介绍:
Thermal Science and Engineering Progress (TSEP) publishes original, high-quality research articles that span activities ranging from fundamental scientific research and discussion of the more controversial thermodynamic theories, to developments in thermal engineering that are in many instances examples of the way scientists and engineers are addressing the challenges facing a growing population – smart cities and global warming – maximising thermodynamic efficiencies and minimising all heat losses. It is intended that these will be of current relevance and interest to industry, academia and other practitioners. It is evident that many specialised journals in thermal and, to some extent, in fluid disciplines tend to focus on topics that can be classified as fundamental in nature, or are ‘applied’ and near-market. Thermal Science and Engineering Progress will bridge the gap between these two areas, allowing authors to make an easy choice, should they or a journal editor feel that their papers are ‘out of scope’ when considering other journals. The range of topics covered by Thermal Science and Engineering Progress addresses the rapid rate of development being made in thermal transfer processes as they affect traditional fields, and important growth in the topical research areas of aerospace, thermal biological and medical systems, electronics and nano-technologies, renewable energy systems, food production (including agriculture), and the need to minimise man-made thermal impacts on climate change. Review articles on appropriate topics for TSEP are encouraged, although until TSEP is fully established, these will be limited in number. Before submitting such articles, please contact one of the Editors, or a member of the Editorial Advisory Board with an outline of your proposal and your expertise in the area of your review.