Prediction of Thermodynamic Equilibrium Temperature of Cu-Based Shape-Memory Smart Materials

Eskil, Murat; Aldaş, Kemal; Özkul, İskender

doi:10.1007/s11661-014-2639-9

Cited by 10 publications

(3 citation statements)

References 28 publications

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“…conducted a first principle investigation to determine the thermodynamic properties of solid transition metal‐based species 19 . The prediction model for calculating the thermodynamic equilibrium temperature of copper‐based shape‐memory smart materials was demonstrated by Eskİl et al 20 . While these studies have contributed significantly to the understanding of thermodynamic properties in specific contexts, our research builds upon these foundations by investigating a broader spectrum of copper‐based species.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic properties calculations of Cu‐based species

Yousuf,

Arshad,

Tian

2024

Int J of Chemical Kinetics

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This work focuses on the thermodynamic property calculations of seven copper‐based species, namely copper, copper oxide, copper hydroxide, copper nitrate, and copper hydroxide nitrate. The structures of these species were optimized to achieve stable geometries. The density functional theory (DFT) calculations were employed to obtain various thermodynamic properties such as entropy, enthalpy, Gibbs free energy, and heat capacity at constant pressure. A comparative investigation was performed on the temperature‐dependent behavior of key thermodynamic parameters. Species characterized by a higher quantity of atoms tend to demonstrate elevated thermodynamic properties. Copper and copper hydroxide nitrate had higher thermodynamic values than their oxides and other counterparts. It should be noted that the thermodynamic properties of copper hydroxide nitrate were newly computed, and the results showed that the thermodynamic values of the compound structure were higher than their crystalline counterparts. Moreover, due to the large structure size and solid phase, these thermodynamic values exhibited discrepancies with previously calculated computational and experimental values. The thermodynamic property values that depended on temperature were transformed into NASA 7‐Coefficient polynomials parameterization. The newly determined thermodynamic data and polynomials provide valuable insights into the thermodynamic behavior of copper‐based species. It will help better understand their surface sites and different crystalline structures. Such data can be used to better understand a variety of industrial processes, including combustion, gasification, chemical synthesis, and further to enhance efficiency, reduce costs, and minimize hazardous environmental emissions.

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Section: Introductionmentioning

confidence: 99%

Thermodynamic properties calculations of Cu‐based species

Yousuf,

Arshad,

Tian

2024

Int J of Chemical Kinetics

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“…The SMA's are a very valuable issue for the Research & Development area. Considering the advantages and convenience of intelligent materials, it is a bright field of materials that many industries in the manufacturing and the business world will not spare their investments and supports (Eskil et al, 2015). SMA's have a certain high temperature phase and low temperature phase according to their element proportion that they contain.…”

Section: Introductionmentioning

confidence: 99%

INVESTIGATION OF Ni-Mn BASED SHAPE MEMORY ALLOY VARIATIONS TRANSFORMATION TEMPERATURES

Kalay

Nomer

Kurgun

2018

Turkish Journal of Engineering

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Shape memory alloys' usage frequency and areas are increased day to day. It is seen the different type and different characteristics in many industrial areas. Therefore, shape memory alloys, which are intelligent materials, are very fast to develop. The NiTi alloys, from these alloy types, are most commonly used due to their low hysteresis range and biocompatibility. But production costs and difficulties have led, investigators to investigate different alloy types. Shape memory alloys which produced with possibly cheaper elements, examined in researchers with looking at their transformation temperatures.

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“…Within these elements, manganese element alloying provides the highest damping and ductility [9]. A small change in the chemical composition affects the martensitic transformation temperatures very significantly [10,11]. Therefore, the proportions of the elements in the alloy are very important.…”

Section: Introductionmentioning

confidence: 99%

Effects of Aging Temperature on Microstructure and Thermal Properties of CuAlMn Shape Memory Alloys

Canbay

Güdeloğlu²

2017

SDÜ Fen Bil Enst Der

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Abstract:The use of copper-based shape memory alloys is increasing rapidly. In this study, the aging effects of CuAlMn shape memory alloys were investigated. Three different alloys were produced during the work. These alloys were then aged for one hour at temperatures of 200 ° C, 300 ° C, 400 ° C and 500 ° C. DSC, XRD and microstructural investigations were carried out on samples which were not aged and aged at different temperatures. Experiments have shown that aging at high temperatures has an adverse effect on shape memory effect on alloys.

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Prediction of Thermodynamic Equilibrium Temperature of Cu-Based Shape-Memory Smart Materials

Cited by 10 publications

References 28 publications

Thermodynamic properties calculations of Cu‐based species

Thermodynamic properties calculations of Cu‐based species

INVESTIGATION OF Ni-Mn BASED SHAPE MEMORY ALLOY VARIATIONS TRANSFORMATION TEMPERATURES

Effects of Aging Temperature on Microstructure and Thermal Properties of CuAlMn Shape Memory Alloys

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