Computational parametric investigation of solar air heater with dimple roughness in S-shaped pattern

Singh, Jagjeet; Bisht, Vijay Singh; Bhandari, Prabhakar; Kumar, Kaushal; Singh, Jarnail; Alam, Tabish; Dixit, Saurav; Singh, Subhav; Khusnutdinov, Rinat

doi:10.1007/s12008-023-01392-8

Cited by 22 publications

(4 citation statements)

References 33 publications

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“…It was observed that the U-shaped turbulator performs better in terms of overall performance compared to the other two configurations. Singh et al [19] analyzed the effect of dimple roughness in S-shaped patterns in SA-heaters through computational work. For all arrangements, the dimple dimension of 2.8 mm and relative pitch roughness of 10 at the Reynold number (Re) of 20 000 resulted in the highest thermo hydraulic performance value of 2.15.…”

Section: Greek Symbolsmentioning

confidence: 99%

Numerical assessment of solar air heater performance having a broken arc and broken S-shaped ribs as roughness

Haldiaa,

Bishta,

Bhandarib

et al. 2024

Archives of Thermodynamics

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This research article aims to provide a detailed numerical study of the multifaceted impact of S-shaped and broken arc roughness on solar air heaters. Therefore, a strong comparison was made between the modified heaters and smooth heaters for Reynolds numbers ranging from 2 00022 000. Also, the impact of two parameters, i.e. pitch and gap was analyzed to optimize the performance of the heater. The gap varies from 0.3 mm to 0.9 mm in both types of ribs with a step size of 0.2 mm. Afterwards, the pitch distance between both types of roughness was varied from 15 mm to 25 mm in the step size of 5 mm. Notably, it has been observed that among all the considered configurations, the gap length of 0.9 mm and pitch length of 25 mm have shown significant improvements in heat transfer characteristics. The specific combination of the gap of 0.9 mm and pitch of 25 mm has demonstrated better heat transfer capabilities at the expense of an increased friction factor. Lastly, the thermal performance factor of the systems was analyzed and reported. It was reported that the pitch length of 25 mm and gap length of 0.9 mm have shown a maximum thermal performance factor value from 2.9 to 3.3, while the pitch length of 25 mm and gap length of 0.3 mm have depicted the lowest thermal performance factor value. In terms of the overall performance, i.e. the thermal performance factor, the combination with a gap of 0.9 mm and pitch of 25 mm has shown the best performance, while a gap of 0.3 mm and pitch of 25 mm has yielded the worst performance.

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Section: Greek Symbolsmentioning

confidence: 99%

Numerical assessment of solar air heater performance having a broken arc and broken S-shaped ribs as roughness

Haldiaa,

Bishta,

Bhandarib

et al. 2024

Archives of Thermodynamics

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“…These studies emphasize the concrete advantages of using IoT technology to maintain and improve the operational efficiency of transportation fleets. [31][32][33][34][35] Obstacles and Prospects for the Future: Although IoT-enabled predictive maintenance has great potential, there are still existing difficulties. Further inquiry is necessary for issues of data security, standards, and the incorporation of new technologies like edge computing and blockchain.…”

Section: Implementation Of Predictive Maintenance Frameworkmentioning

confidence: 99%

IoT-Enabled Predictive Maintenance for Sustainable Transportation Fleets

Mittal,

Devi,

Pandey

et al. 2024

E3S Web Conf.

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This research examines the profound effects of integrating IoT-enabled predictive maintenance in sustainable transportation fleets. By using real-time sensor data, this implementation aims to enhance fleet dependability and operational efficiency. The fleet, including a variety of vehicles such as electric buses, hybrid cars, electric trucks, CNG-powered vans, and hybrid buses, is constantly monitored using IoT sensors that capture important characteristics like engine temperature, battery voltage, and brake wear percentages. The predictive maintenance algorithms adapt maintenance schedules in response to live sensor data, enabling a proactive strategy that tackles prospective problems before they result in major failures. The examination of the maintenance records reveals prompt actions, showcasing the system’s efficacy in reducing operational interruptions and improving the overall dependability of the fleet. Moreover, the examination of percentage change confirms the system’s flexibility, demonstrating its capacity to anticipate fluctuations in engine temperature, battery voltage, and brake wear. The findings highlight the system’s ability to adapt to various operating situations and its contribution to lowering maintenance expenses while enhancing operational effectiveness. The established approach incorporates ethical issues, such as data security and privacy, to ensure responsible adoption of IoT technology. This study has broader ramifications beyond the particular dataset, providing a detailed plan for incorporating IoTenabled predictive maintenance into contemporary transportation infrastructures. The study’s findings offer valuable insights into the potential of proactive maintenance strategies to transform the transportation industry towards sustainability. This contributes to a future where fleets operate with increased efficiency, reduced environmental impact, and improved reliability.

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“…FGMs are being investigated in biomedical engineering for implanted devices where biocompatibility and mechanical qualities may be optimised concurrently. FGMs have also showed potential in civil engineering for building seismically robust structures by using their customised stiffness and damping capabilities [34][35][36][37][38][39]. While FGMs have tremendous promise, numerous obstacles must be overcome before they can be widely used.…”

Section: Fgm Applications In Various Engineering Fieldsmentioning

confidence: 99%

From Homogeneity to Heterogeneity: Designing Functionally Graded Materials for Advanced Engineering Applications

Kumar,

Dixit,

Haq

et al. 2023

E3S Web Conf.

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The research investigates Functionally Graded Materials (FGMs) and their transformational potential in modern engineering. FGMs, which exhibit progressive property fluctuations, call into question traditional material consistency. This study analyses the growth of FGMs and their importance in solving complex engineering difficulties through historical analysis and real-world case studies. The research dives into the design concepts, material selection, manufacturing procedures, and sophisticated characterisation methodologies that underpin FGM development from a methodological standpoint. Mechanical, thermal, and electrical characteristics, in combination with microstructural progression, offer a thorough knowledge of FGM behaviour. The implications for future engineering advances are highlighted, with a focus on the ability to rethink material design and multifunctional performance. Among the many attractive possibilities, issues in scalability, characterisation, and multidisciplinary cooperation need additional investigation. FGMs represent a paradigm shift from homogeneity to targeted heterogeneity, echoing wider shifts in engineering philosophy and influencing technological development.

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Computational parametric investigation of solar air heater with dimple roughness in S-shaped pattern

Cited by 22 publications

References 33 publications

Numerical assessment of solar air heater performance having a broken arc and broken S-shaped ribs as roughness

Numerical assessment of solar air heater performance having a broken arc and broken S-shaped ribs as roughness

IoT-Enabled Predictive Maintenance for Sustainable Transportation Fleets

From Homogeneity to Heterogeneity: Designing Functionally Graded Materials for Advanced Engineering Applications

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