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What research is done about free cao? 


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Research has been conducted on the detection and prediction of free calcium oxide (f-CaO) content in various applications. In the cement industry, the f-CaO content in cement clinker is difficult to detect online, so soft sensing modeling methods have been proposed using temperature and other auxiliary variables to accurately predict f-CaO content . In the steel industry, pretreatment methods such as cooking and autoclave have been used to reduce the f-CaO content in steel slag, improving its stability for construction purposes . Similarly, in the cement industry, a sliding window RPLS soft-measuring model has been developed to monitor the change of f-CaO in real-time, ensuring cement product quality and automation production effectiveness . Another study has focused on establishing a soft-measuring model for f-CaO content in cement clinker using data processing and smart algorithms, effectively predicting the f-CaO content . Overall, research has been done to improve the detection and prediction of f-CaO content in various industries.

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The research in the paper focuses on reducing free CaO in basic oxygen furnace (BOF) slag to achieve volume stability.
The research in the paper focuses on developing a soft-measuring model to predict the content of free calcium oxide (f-CaO) in cement clinker.
The research in the paper focuses on the influence of pretreatment methods, such as cooking and autoclave, on the free CaO content in steel slag. The study found that both cooking at high temperatures and autoclave pressure can effectively reduce the free CaO content in the steel slag.
The research in the paper focuses on the realization of a soft-measuring model for monitoring the change of free Calcium Oxide (f-CaO) in cement clinker in real-time.
The provided paper discusses a soft sensing modeling method based on LS-SVM for predicting the content of free calcium oxide (f-CaO) in cement clinker.

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