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Engineering of aluminium matrix composite (AMC) reinforcement organoclay based on hotpress method using adaptive neuro-fuzzy inference system (ANFIS)

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, , Citation Yulius Eka Agung Seputra and Bambang Soegijono 2019 IOP Conf. Ser.: Mater. Sci. Eng. 509 012156 DOI 10.1088/1757-899X/509/1/012156

1757-899X/509/1/012156

Abstract

Aluminum Matrix Composite (AMC) reinforced organoclay is a widely used material in automotive where there is a significant increase in mechanical strength, especially if reinforced nano-sized particles. This study aims to obtain AMC with a variation of composition 1-3% wt organoclay. The method used in this research is Hotpress. Testing (characterisation) use XRD, Optical Microscope Hardness Tester. Adaptive Neuro-Fuzzy inference system (ANFIS) model can forecast density and Microhardness of AMC. The pressure used is 137.8951458634 MPa, and the temperature is varied from 490°C-600°C with a holding time of 3 hours. Testing (characterisation) is carried out using XRD, Optical Microscope, Hardness Tester, Ultrasonic testing. The results showed that the hardness increased from 15 HVN to 197 HVN. The mass density increases, and reaches optimal at a composition of 550°C with the addition of 1% by weight of organoclay, the microstructure shows AMC formed which is shown in grey and increasing hardness and density indicated by black (porosity).

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10.1088/1757-899X/509/1/012156