Título :	Comparisson of recrystallization kinetics and grain growth in polycrystalline shape memory alloys
Autor :	Nava, Marcelo Lima, Emmanuel Pacheco Rocha Lima, Pedro Cunha de
Assunto::	Ligas com memória de forma NiTi CuAlNi CuAlBe Cinética de recristalização Ligas de não-ferrosos
Fecha de publicación :	2020
Editorial :	David Publishing Company
Citación :	NAVA, Marcelo; LIMA, Emmanuel Pacheco Rocha; LIMA, Pedro Cunha de. Comparisson of recrystallization kinetics and grain growth in polycrystalline shape memory alloys. Journal of Materials Science and Engineering, A 10, n. 3-4, p. 76-80, 2020. DOI: 10.17265/2161-6213/2020.3-4.005. Disponível em: http://www.davidpublisher.org/index.php/Home/Article/index?id=43327.html. Acesso em: 23 jun. 2020.
Abstract:	The non-ferrous SMAs (shape memory alloys) have, normally, two problems that hinder the use in industrial scale: the natural aging and grain growth. The first degrades the memory effect, while the second, observed during the alloy’s mechanical processing, modifies the phase transformation temperatures. Thus, the study of recrystallization kinetics is important for enabling the control of hardened state as a function of treatment time without allowing the exaggerated grain growth. The objective of this study is to determine the recrystallization kinetics in different SMAs (Cu-14Al-4Ni, Cu-12Al-0.5Be and Ni-42Ti), based on an empirical law of J-M-A (Johnson-Mehl-Avrami), as well as their activation energies for grain growth process according to the empirical Arrhenius law.Quantitative evaluations of the grain growth kinetics over a wide range of indicated DSC (differential scanning calorimetry) temperatures have been performed. The results show that the alloy less susceptible to aging in temperatures below the recrystallization peak is the Ni-42Ti, because it presented the highest activation energy, followed by the Cu-14Al-4Ni. The equations that describe the recrystallization kinetics follow the empirical law of J-M-A. The recrystallization kinetics accompanied by hardness variation was an important tool, working as an advisor for selection of treatment time as a function of temperature.
metadata.dc.description.unidade:	Faculdade de Ciências e Tecnologias em Engenharia (FCTE) – Campus UnB Gama
Licença::	Autorização concedida à Biblioteca Central da Universidade de Brasília pelo Professor Emmanuel Pacheco Rocha Lima, em 19 de junho de 2020, para disponibilizar a obra, gratuitamente, para fins acadêmicos e não comerciais (leitura, impressão e/ou download), a partir desta data. A obra continua protegida por Direito Autoral e/ou por outras leis aplicáveis. Qualquer uso da obra que não o autorizado sob esta licença ou pela legislação autoral é proibido.
DOI:	10.17265/2161-6213/2020.3-4.005
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