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Material Selection: Material Perception Data Analysis Using Clustering Analysis and Association Rule Analysis of Data Mining
재료선택: 데이터 마이닝의 군집분석과 연관규칙분석을 이용한 재료지각 데이터 분석
Jaeho Choi
최재호
Korean J. Met. Mater. 2024;62(1):65-72.   Published online 2023 Dec 29
DOI: https://doi.org/10.3365/KJMM.2024.62.1.65

Abstract
To select materials suitable for products, material perception, which is the feeling consumers have about materials, has been studied. Material perception data were obtained through surveys using digital logic for bipolar adjective pairs. The material perception data were analyzed through unsupervised learning of data mining. Prior to data analysis, to..... More

                
Microstructural Evolutions and Strengthening Mechanism according to the Aging Temperatures of a High Si Cast Aluminum Alloy
Won-Sang Shin, Yoon-Jun Kim
Korean J. Met. Mater. 2023;61(7):524-533.   Published online 2023 Jun 21
DOI: https://doi.org/10.3365/KJMM.2023.61.7.524

Abstract
A356 cast aluminum alloy contains 7 at.% Si and 0.3 at.% Mg, producing an approximately 50% eutectic microstructure. This high Si content and various casting conditions play a significant role in strengthening A356 alloy, by controlling the eutectic morphology and precipitates of other intermetallic compounds. Understanding how Si-related precipitates and..... More

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