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Research Article

Influence of sub-glass transition heat-treatment on physical and structural properties of Cu46Zr44Al8Hf2 metallic glass

Baran Sarac

Erich Schmid Institute of Materials Science, Austrian Academy of Sciences, Leoben, Austria

Keywords

Abstract



Metallic glass; 

Heat-treatment; 

Dynamic mechanical analysis; 

Differential scanning calorimetry; 

Residual stress; 

X-ray diffraction


The metastability of metallic glasses (MGs) can be altered via post-heat treatment around its glass transition temperature Tg. Here, the influence of the short-term heat treatment slightly below the glass transition on the thermal, thermomechanical, and structural properties are investigated. The water-cooled copper mold casting is used to produce the Cu46Zr44Al8Hf2 MGs under argon gas. Heat treatment was performed by continuous heating at 20 °C/min to 400 °C, followed by immediate cooling. Samples were characterized by differential scanning calorimetry (DSC) and dynamic mechanical analysis (DMA) via continuously heating through its Tg and Tx (crystallization temperature) and by X-ray diffraction (XRD) in Bragg-Brentano (θ-2θ) geometry. Main findings observed are (1) an increase in the thermal stability, Tx-Tg, registered by DMA and DSC, (2) a remarkable drop of the relaxation enthalpy in the DSC trace calculated from the change in specific heat beforeTg, (3) appearance of a third broad peak after heat-treatment in XRD, and (4) steady profile of E^' below Tg correlated to the β-relaxation in DMA. The unexpected increase in ∆T is linked to the release of the residual stresses accumulated during fast-quenching of the molten ingot down to room temperature. This stress can be estimated as 240 MPa on the outer surface and 100 MPa in the center of the cast CuZr-MG plates, which can be eliminated by the introduced heat-treatment method. Overall, this study suggests a direct and practical way to enhance the thermal stability and high strength retention of CuZr-based metallic glasses at elevated temperatures.

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LATEST News


27/12/2022 Reviewer Awards: The winners of 2022 reviewer awards of Research on Engineering Structures and Materials (RESM) are announced. More information can be found at Reviewer Awards section. 


23/12/2022 Best Paper Award: According to the Advisory Board decision, the paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 2022 Best Paper Award of Research on Engineering Structures and Materials (RESM). 

23/12/2022 Most Cited Paper Award:  According to the Editorial Board evaluation, the paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the 2022 Most Cited Paper Award of Research on Engineering Structures and Materials (RESM). 


13/04/2022 Fraudulent Emails Impersonating Our Journal: We noticed that some emails are sent to some people impersonating our journal staff as sender and requesting recipients to follow some links. Our journal and staff has nothing to do with these emails and please do not follow the given links. Senders seem to have malicious aims. The emails include a portion of some of our previous emails to the journal users and researchers. This is only to deceive the receiver and make them trust the email. Do not follow any links or perform suspicious actions specified in these emails. Please, check the sender info carefully. Even the sender address or name resembles the journal related words they are different, generally in an easily noticeable way.


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LATEST AWARDS


2022 Reviewer Awards:

Please, visit Reviewer Awards section for the winners of the 2022 RESM reviewer awards.


2022 Best Paper Award:

The paper authored by Nitin Kumar, Michele Barbato, Erika L. Rengifo-López and Fabio Matta entitled as “Capabilities and limitations of existing finite element simplified micro-modeling techniques for unreinforced masonry” is awarded the 


2022 Most Cited Paper Award:

The paper authored by Aykut Elmas, Güliz Akyüz, Ayhan Bergal, Müberra Andaç and Ömer Andaç entitled as “Mathematical modelling of drug release" is awarded the


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