Influence of temperature and aging on the thermal diffusivity, thermal conductivity and heat capacity of a zinc die casting alloy

Page, Maria Angeles Martinez; Weidenfeller, B.; Hartmann, Stefan

doi:10.1016/j.jallcom.2019.01.371

Cited by 12 publications

(4 citation statements)

References 10 publications

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“…Outro fator importante é de que não houve presença de porosidade nas peças fundidas por gravidade neste estudo. Isto acontece, pois sem o resfriamento forçado como ocorre na injeção sob pressão, existe tempo suficiente para os gases migrarem para fora do material [10,11]. Portanto, este trabalho tem como objetivo propor um tratamento térmico em peças injetadas sob pressão com intuito de minimizar as porosidades geradas durante o processo.…”

Section: Resultados E Discussõesunclassified

Tratamento térmico em Zamac visando diminuir defeitos de porosidade

Dienstmann¹,

Führ²,

Scheffel³

et al. 2021

Tecnol. Metal. Mater. Min.

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Publicado pela ABM. Este é um artigo publicado em acesso aberto (Open Access) sob a licença Creative Commons Attribution, que permite uso, distribuição e reprodução em qualquer meio, sem restrições desde que o trabalho original seja corretamente citado.a ResumoO Zamac tem sido utilizado na indústria galvânica, principalmente, devido ao seu baixo ponto de fusão, o que permite a obtenção de peças com riqueza de detalhes, tais como peças do setor moveleiro, moda e metais sanitários. No entanto, os processos de sua obtenção, por injeção sob pressão e injeção centrífuga, geram porosidade e, consequentemente, aumento de sucata. Por outro lado, estudos mostraram que fusão por gravidade não apresenta tais problemas. Nesse sentido, o objetivo deste artigo foi tratar termicamente peças de Zamac injetadas sob pressão, com a finalidade de obter comportamento semelhante às peças fundidas por gravidade. Para tanto, peças injetadas sob pressão foram tratadas termicamente, abaixo da temperatura de fusão. A caracterização morfológica dessas amostras foi obtida por MEV. Observou-se que o tratamento térmico acima da temperatura eutetoide apresentou melhor resultado com respeito à porosidade observada.

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Section: Resultados E Discussõesunclassified

Tratamento térmico em Zamac visando diminuir defeitos de porosidade

Dienstmann¹,

Führ²,

Scheffel³

et al. 2021

Tecnol. Metal. Mater. Min.

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“…The accuracy of the density determination is assumed to be

2 %

as a precision scale and a caliper with an accuracy of 0.01 mm were used. The laser flash apparatus LFA 427 (Netzsch‐Gerätebau GmbH, Germany) and the differential scanning calorimeter Netzsch DSC F204 Phoenix (Netzsch Gerätebau GmbH, Germany) gave the remaining accuracies of

3 %

and

2 %

, see also [54]. These accuracies were then used to determine the necessary uncertainties.…”

Section: Sequential Identification Of Thermal Conductivity Tensormentioning

confidence: 99%

Identification of the thermal conductivity tensor for transversely isotropic materials

Tröger

Hartmann

2022

GAMM-Mitteilungen

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The knowledge of the thermal conductivities is of particular interest for the thermo‐mechanical modeling of transversely isotropic composite materials. Hence, the identification of these material parameters by solving an inverse problem is significant, as they cannot be directly measured. In this study, a suitable experimental setup is presented, where infrared thermography is used to measure the surface temperatures of thin specimens. Further, a local identifiability concept is employed to study whether locally unique parameters can be obtained. This leads to a particular step‐wise identification concept. The parameter identification is performed applying a nonlinear least‐square approach and finite elements. In the step‐wise identification process the convection coefficient is required first, and, subsequently, the coefficients of the thermal conductivity tensor are determined. Due to the step‐wise identification, the uncertainties of previously identified parameters have to be considered in the subsequent identification steps. The resulting uncertainties are estimated using the Gaussian error propagation concept. It turns out that the thermal conductivities of transversely isotropic materials are generally identifiable from surface temperature data. Furthermore, since all uncertainties have an essential influence on the results of real numerical simulations, their error propagation should be considered in resulting boundary‐value problems. Thus, the uncertainty quantification is demonstrated by a validation experiment.

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“…As China's economy continues to develop in a hurry, there is an increasing demand for and consumption of steel. At the same time, China is producing more crude steel each year, which results in the production of a significant amount of metallurgical dust that contains zinc [4]. Because of its chemical activity, zinc metal is frequently used as a substitute for precious metals and to separate impurities using its reducing properties; zinc sheets and plates are also employed in the battery production business [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Zn Extraction from Zinc-Containing Sludge Using Ultrasonic Treatment Leaching with ChCl-MA DES

Niu

Zhang

et al. 2023

Metals

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The recovery of zinc from metallurgical dust sludge is a crucial component of using solid waste as a resource in the metallurgical process, and deep eutectic solvent–ultrasonic synergistic enhanced leaching is an efficient method of doing so with excellent economic effects. The leaching rate of zinc is used as the value of response in this study, along with the four process conditions of leaching temperature, leaching time, liquid–solid ratio, and ultrasonic power. By building a regression model, the relationship between the various parameter components is investigated, and a strategy for optimization is then chosen and confirmed. The findings indicate that, for the parameters of temperature 40 °C, ultrasonic power 90 W, liquid–solid ratio 7:1 g/L, stirring speed 250 rpm, and leaching duration 80 min, the prediction value of the regression model of the zinc leaching rate is 98.47%. The average zinc leaching rate obtained by the 3 parallel verification experiments was 98.49%; the deviation from the regression model’s predicted value was 0.02%. This demonstrated that the experimental results were consistent with those predicted by the regression model, the experimental results were reliable and trustworthy, and the optimization scheme was reasonable and accurate. Compared with the conventional leaching method (leaching rate: 91.61%), the method under ultrasound increased the zinc leaching rate by 6.88%.

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Influence of temperature and aging on the thermal diffusivity, thermal conductivity and heat capacity of a zinc die casting alloy

Cited by 12 publications

References 10 publications

Tratamento térmico em Zamac visando diminuir defeitos de porosidade

Tratamento térmico em Zamac visando diminuir defeitos de porosidade

Identification of the thermal conductivity tensor for transversely isotropic materials

Zn Extraction from Zinc-Containing Sludge Using Ultrasonic Treatment Leaching with ChCl-MA DES

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