文献类型：期刊文献

中文题名：基于Delta-Base结构模型的水泥熟料组分预测

英文题名：Prediction of cement clinker composition based on a Delta-Base structure model

作者：郝凤磊[1];朱洪阳[2];杨明磊[2];范琛[2]

机构：[1]安徽铜陵海螺水泥有限公司,安徽铜陵244000;[2]华东理工大学,能源化工过程智能制造教育部重点实验室,上海200237

年份：2025

卷号：38

期号：6

起止页码：35

中文期刊名：水泥工程

外文期刊名：Cement Engineering

基金：国家重点研发计划项目(2022YFB3305900)。

语种：中文

中文关键词：水泥生产;硅酸盐水泥;熟料煅烧;组分预测

外文关键词：Cement production;Portland cement;Clinker calcination;Component prediction

摘要：水泥熟料是水泥生产过程中至关重要的中间产物,熟料的质量直接影响到水泥的强度、耐久性、抗裂性等关键性能。水泥熟料的组成和矿物相的比例,决定了水泥的水化特性和硬化速度。因此,精确预测和调控水泥熟料的组分,对确保产品质量、优化生产效率、降低生产成本及实现智能化生产具有重要意义。由于熟料的组分受到生料成分的直接影响,本文提出利用Delta-Base结构模型,通过生料的组分来预测熟料的组成。本文首先建立回转窑固相反应模型,并分析了各单一性质变化对熟料组分的影响;随后将全域CaO/SiO_(2)范围划分为3个区间,分别拟合Base值和Delta值,构建多段分段预测模型。结果表明,该模型能够根据CaO/SiO_(2)比值准确预测熟料组分,适用于配料比例调整与过程优化的实时计算,从而为企业在不同CaO/SiO_(2)比值条件下选择合适的预测模型提供了有效的工具。
Cement clinker is a crucial intermediate product in cement production,as its quality directly impacts key perfor?mance characteristics of cement,including strength,durability,and crack resistance.The composition and mineral phase ra?tios of clinker determine its hydration behavior and hardening rate.Therefore,precise prediction and regulation of clinker components hold significant importance for advancing sustainable development in the cement industry.Since clinker compo?sition is directly influenced by raw material components,this study proposes the use of a Delta-Base structural model to pre?dict clinker composition based on raw material constituents.By modeling the rotary kiln process,the study systematically ana?lyzes the effects of individual property variations on clinker composition and establishes a multi-stage Delta-Base model to more accurately predict compositional changes in clinker under varying CaO/SiO_(2) ratios.The results demonstrate that this model can reliably predict clinker components based on the CaO/SiO_(2) ratio,providing enterprises with an effective tool to se?lect appropriate predictive models under different CaO/SiO_(2) ratio conditions.