The Effect of Cooling Slope on Mechanical Properties of Aluminum-8.5wt.% Si Alloy Produced by Gravity Casting

Tugiman,; Thayab, Awaluddin; Ariani, Farida; Sitorus, Tulus Burhanuddin; Suhandi, Suhandi; Rizki, Rizki

doi:10.4108/eai.3-11-2018.2285718

Proceedings of the Proceedings of the 2nd Annual Conference of Engineering and Implementation on Vocational Education (ACEIVE 2 2019

DOI: 10.4108/eai.3-11-2018.2285718

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The Effect of Cooling Slope on Mechanical Properties of Aluminum-8.5wt.% Si Alloy Produced by Gravity Casting

Tugiman Tugiman¹,

Awaluddin Thayab²,

Farida Ariani³

et al.

Abstract: Cooling slopes (CS) are the novel technique in the casting process, it suitable applied in the various alloys to modify the microstructure and mechanical properties. In the present work, the cooling slope has been designed and applied in the aluminumsilicon alloys. The effect of CS plate angle on microstructure and mechanical properties of aluminum alloy were investigated. The results suggested that the CS influenced the morphologies of materials which is correspond with the mechanical properties change.

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2024

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Cited by 1 publication

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Modelling and Optimisation of Cooling-slope Parameters of Magnesium AZ91D using Improvement Multi-Objective Jaya Approach for Predicted Feedstock Performance

Mohd Said,

Sallehuddin,

Mohamed Radzi

et al. 2024

JST

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The cooling-slope (CS) casting technique is one of the simple semi-solid processing (SSP) processes a foundryman uses to produce the feedstock. This study attempts to develop mathematical regression models and optimise the CS parameters process for predicting optimal feedstock performance, which utilises tensile strength and impact strength to reduce the number of experimental runs and material wastage. This study considers several parameters, including pouring temperature, pouring distance, and slanting angles for producing quality feedstock. Hence, multi-objective optimisation (MOO) techniques using computational approaches utilised alongside the caster while deciding to design are applied to help produce faster and more accurate output. The experiment was performed based on the full factorial design (FFD). Then, mathematical regression models were developed from the data obtained and implemented as an objective function equation in the MOO optimisation process. In this study, MOO named multi-objective Jaya (MOJaya) was improved in terms of hybrid MOJaya and inertia weight with archive K-Nearest Neighbor (MOiJaya-aKNN) algorithm. The proposed algorithm was improved in terms of the search process and archive selection to achieve a better feedstock performance through the CS. The study’s findings showed that the values of tensile and impact strengths from MOiJaya_aKNN are close to the experiment values. The results show that the hybrid MOJaya has improved the prediction of feedstock using optimal CS parameters.

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Modelling and Optimisation of Cooling-slope Parameters of Magnesium AZ91D using Improvement Multi-Objective Jaya Approach for Predicted Feedstock Performance

Mohd Said,

Sallehuddin,

Mohamed Radzi

et al. 2024

JST

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show abstract

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The Effect of Cooling Slope on Mechanical Properties of Aluminum-8.5wt.% Si Alloy Produced by Gravity Casting

Cited by 1 publication

References 7 publications

Modelling and Optimisation of Cooling-slope Parameters of Magnesium AZ91D using Improvement Multi-Objective Jaya Approach for Predicted Feedstock Performance

Modelling and Optimisation of Cooling-slope Parameters of Magnesium AZ91D using Improvement Multi-Objective Jaya Approach for Predicted Feedstock Performance

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