Influence of process parameters on filling ability of A356 aluminium alloy in expendable pattern shell casting with vacuum and low pressure

Jiang, Wenming; Zhao, Fan; Liu, D J; Liao, Defeng; Zhao, Zhong; Dong, Xuan; Wu, Hao

doi:10.1179/1743133611y.0000000014

Cited by 30 publications

(5 citation statements)

References 19 publications

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“…Where dP is the pressure change, dT the change of melting point with dP, Tm the melting point, V 1 the volume of 1 kg solid alloy, V 2 the volume of 1 kg liquid alloy, ∆H m the melting latent heat. As we can see from the equation (3), the melting point of metal is increase with the pressure increased, which would accerate subcooling of the liquid metal and shorten the solidification process obviously, and thus play a important role in grain refinement [14]. Adjusted pressure casting process…”

Section: The Effects Of the Pressure On Microstructure And Properties...mentioning

confidence: 99%

Prospect of Thin-Walled Adjusted Pressure Casting Process for Superalloys

Yan

Dong

Zhang

et al. 2014

AMR

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Section: The Effects Of the Pressure On Microstructure And Properties...mentioning

confidence: 99%

Prospect of Thin-Walled Adjusted Pressure Casting Process for Superalloys

Yan

Dong

Zhang

et al. 2014

AMR

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“…For example, Bedel et al [26] have investigated the geometrical effects on filling dynamics in low-pressure casting (LPC) process and they proposed new rules to avoid bifilm defects for making reliable LPC process. In addition, Jiang et al [27] have studied the influence of several process parameters, viz. casting temperature, gas flow rate, vacuum level and gas pressure, on the filling ability of A356 aluminium alloy in expendable pattern shell casting process with vacuum and low pressure (EPSC-VL).…”

Section: Introductionmentioning

confidence: 99%

Intelligent approach based on FEM simulations and soft computing techniques for filling system design optimisation in sand casting processes

Ktari

Mansori

2021

Int J Adv Manuf Technol

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This paper reports an intelligent approach for modeling and optimisation of filling system design (FSD) in the case of sand casting process of aluminium alloy. In order to achieve this purpose, physics-based process modeling using finite element method (FEM) has been integrated with artificial neural networks (ANN) and genetic algorithm (GA) soft computing techniques. A threedimensional FE model of the studied process has been developed and validated, using experimental literature data, to predict two melt flow behaviour (MFB) indexes named ingate velocity and jet high. Two feed-forward back-propagation ANN-based process models were developed and optimised to establish the relationship between the FSD input parameters and each studied MFB index. Both ANN models were trained, tested and tuned by using database generated from FE computations. It was found that both ANN models could independently predict, with a high accuracy, the values of the ingate velocity and the jet high for training and test data. The developed ANN models were coupled with an evolutionary GA to select the optimal FSD for each one. The validity of the found solutions was tested by comparing ANN-GA prediction with FE computation for both studied MFB indexes. It was found that error between predicted and simulated values does not exceed 5.61% and 6.31% respectively for the ingate velocity and the jet high, which proves that the proposed approach is reliable and robust for FSD optimisation.

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“…The lost foam casting (LFC) process is a near net forming technology, which has many advantages including flexible structure design, no cores, low cost, high precision, and friendly environment, and it can be used to manufacture the complex precision components [23][24][25]. It is worthy indicating that the LFC process can prepare the Al/Al bimetallic composites combining the advantages of the LFC process.…”

Section: Introductionmentioning

confidence: 99%

Microstructure of Al/Al bimetallic composites by lost foam casting with Zn interlayer

Jiang

et al. 2018

Materials Science and Technology

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A novel method named the lost foam casting (LFC) liquid–liquid compound process with a Zn interlayer was proposed to prepare the Al/Al bimetallic composites, and the microstructure of the Al/Al bimetallic composites was investigated in the present work. The results showed that the Al/Al bimetallic composites were successfully produced using the novel process. The Zn interlayer prevented different liquid metals from directly mixing. A uniform and compact metallurgical interface was obtained between the Al and the A356 aluminium alloy, which consisted of the η-Zn, α-Al rich, α + η eutectoid, and primary silicon phases. The microhardness of the interface layer was significantly higher in comparison with those of the Al and A356 matrixes.

show abstract

Influence of process parameters on filling ability of A356 aluminium alloy in expendable pattern shell casting with vacuum and low pressure

Cited by 30 publications

References 19 publications

Prospect of Thin-Walled Adjusted Pressure Casting Process for Superalloys

Prospect of Thin-Walled Adjusted Pressure Casting Process for Superalloys

Intelligent approach based on FEM simulations and soft computing techniques for filling system design optimisation in sand casting processes

Microstructure of Al/Al bimetallic composites by lost foam casting with Zn interlayer

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