摘要
Abstract
This article innovatively proposes a process optimization idea of"medium temperature fast casting+gradient cooling".Through systematic research on the influence of casting temperature(680℃～720℃),casting speed(150～210mm/min),and scraper position(200～400mm)on the microstructure and properties of ingots,the multi-scale control mechanism of"process parameters temperature field solidification microstructure mechanical properties"is revealed.The study introduces machine learning algorithms into process optimization for the first time,constructs a predictive model with tensile strength and corrosion depth as objective functions,and ultimately achieves a technological breakthrough of ingot grain size standard deviation≤15μ m and hot crack rate≤0.3%,providing theoretical basis and engineering guidance for the short process preparation of Al Mg Si Mn alloys.关键词
半连续铸造工艺/Al-Mg-Si-Mn合金/铸锭组织/性能影响Key words
Semi continuous casting process/Al Mg Si Mn alloy/Ingot organization/performance impact分类
矿业与冶金
