Abstract Fine coal separation is one of the research focuses in the field of clean coal technology. A new type of fine coal dry separation technology was studied. Microwave energy was used to strengthen the magnetic properties of coal pyrite, leading to high- gradient magnetic separation. A high-intensity magnetic separator was used for the separation of fine coal, and an effective way to achieve the clean utilization of pulverized coal before its combustion was investigated. The R 2 and corrected R 2 values of the two-order model according to the sulfur content of clean coal were small. This shows that the recommended model has a higher fitting degree of response surface. Microwave pretreatment time T has a higher sensitivity to the sulfur content of clean coal than MC in a given range. The response surface has an optimal value, i.e., the highest desulfurization rate. With the increase in magnetic particle size, the desulfurization rate increased continuously. The evaluation index of the clean coal sulfur content of fine coal microwave-enhanced magnetic desulfurization test was optimized by a better two-order fitting model. The constraint conditions of the main influencing factors and the optimization indexes after the response were obtained. The sulfur content of clean coal was in the range of [1.98, 3.35].

中文翻译：

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基于微波能高梯度磁选的细煤脱硫建模

摘要 细煤分离是洁净煤技术领域的研究热点之一。研究了一种新型粉煤干选技术。微波能被用来增强煤黄铁矿的磁性，导致高梯度磁选。采用高强度磁选机对粉煤进行分离，探讨了实现煤粉燃烧前清洁利用的有效途径。根据精煤含硫量建立的二阶模型的R 2 和修正R 2 值较小。这说明推荐模型具有较高的响应面拟合度。在给定范围内，微波预处理时间T对精煤硫含量的敏感性高于MC。响应面有一个最优值，即 脱硫率最高。随着磁性粒径的增大，脱硫率不断提高。通过较好的二阶拟合模型优化了细煤微波增强磁脱硫试验中精煤硫含量的评价指标。得到响应后主要影响因素的约束条件和优化指标。精煤的硫含量在[1.98，3.35]范围内。得到响应后主要影响因素的约束条件和优化指标。精煤的硫含量在[1.98，3.35]范围内。得到响应后主要影响因素的约束条件和优化指标。精煤的硫含量在[1.98，3.35]范围内。