Search
6 articles for “Thermodynamic Design Data”
-
Thermodynamic design data of ammonia-sodium thiocyanate absorption heat pump systems simultaneous cooling and heating using ANN approach.
Abstract: The aim of this study is to train neural network which predict thermodynamic design data without involving role of thermodynamic properties, temperature concentration complex relationship and formula of coefficient of performance. Authors have presented values of weights and bias obtained from the trained ANN through which one can formulate mathematical equations for predicting thermodynamic design data. Authors have achieved coefficient of multiple determinations R2 as 0.99999, 0.99997 and 0.99953 for …
Published in Journal of Thermal Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 30–36 Read article
-
Thermodynamic Design Data of NH3-LiNO3 Absorption Heat Pump Systems for Simultaneous Cooling and Heating using ANN Approach
Abstract: The aim of this study is to train neural network which predicts thermodynamic design data without involving role of thermodynamic properties, temperature concentration complex relationship and formula of coefficient of performance. Authors have presented values of weights and bias obtained from the trained ANN through which one can formulate mathematical equations for predicting thermodynamic design data. Authors have achieved coefficient of multiple determinations R2 as 1, 1, 0.99999 for solution …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 1, Issue 2, 2014 · pp. 7–13 Read article
-
Thermodynamic Optimization and Exergy-Based Performance Analysis of Hybrid Thermal Management Systems for Electric Vehicles
Abstract: The transition toward sustainable transportation has brought electric vehicles (EVs) to the forefront of modern engineering innovation. Despite their environmental benefits and improved energy efficiency, EVs face major thermal challenges that affect performance, safety, and durability. Efficient thermal management of batteries, power electronics, and electric drive systems is vital to ensure reliability under diverse operating conditions. This study presents a detailed thermodynamic optimization and exergy-based performance analysis of hybrid thermal …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
-
Crystallographic Studies on The Stability of Pharmaceutical Compound
Abstract: Crystallographic studies provide detailed insights into the molecular structure and intermolecular interactions within a crystal lattice, which are key determinants of a compound's stability. By analyzing crystal structures, researchers can identify potential polymorphs, solvates, and hydrates that may impact the physical and chemical stability of the drug. This knowledge helps in optimizing formulation strategies, predicting shelf life, and ensuring consistent drug performance. Advanced techniques like X-ray diffraction and neutron diffraction …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 38–42 Read article
-
A Survey on Hydrogen Storage System using Composite Material and its Alloys
Abstract: The transition to a carbon-neutral energy landscape hinges on the ability to store hydrogen safely, densely, and reversibly. While high-pressure tanks and cryogenic vessels dominate today’s infrastructure, solid-state storage in metallic alloys offers a compelling alternative by combining high gravimetric capacity with intrinsic safety to form a composite material. This work presents a systematic investigation of a family of reversible hydrogen-absorbing composite material alloys—principally Mg-based intermetallics (Mg₂Ni, MgFeMn) and TiV-based …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 · pp. 35–42 Read article
-
Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article