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Muyang Huang, Shenxu Bao, Yimin Zhang, Mengke Li, Chong Deng, and Wenhan Chen, Optimization and mechanism analysis of multi-solid wastes-based geopolymer using response surface methodology, Int. J. Miner. Metall. Mater., 32(2025), No. 6, pp.1345-1357. https://doi.org/10.1007/s12613-024-3072-8
Muyang Huang, Shenxu Bao, Yimin Zhang, Mengke Li, Chong Deng, and Wenhan Chen, Optimization and mechanism analysis of multi-solid wastes-based geopolymer using response surface methodology, Int. J. Miner. Metall. Mater., 32(2025), No. 6, pp.1345-1357. https://doi.org/10.1007/s12613-024-3072-8
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基于响应面法的多固体废弃物地聚合物优化及机理分析

摘要: 随着工业固体废物产生量的不断增加,加上自然资源的日益匮乏,人们对废物回收利用的关注日益强烈。然而,废物的异质性和复杂性对确定工艺参数提出了重大挑战。本研究以燃煤渣(BCC)、花岗岩石粉(GP)和高钙粉煤灰(Class-C FA)为原料,采用响应面法(RSM)和单因素实验对制备地聚合物的工艺参数进行了优化。优选出BCC、GP和Class-C FA的前驱体粉的质量比为1.6 : 0.9 : 7.3。NaOH-前驱体粉料比调整为0.084,液固比调整为0.222。固化条件为80°C,固化24 h,得到的养护28 d的多固体废物基地聚合物抗压强度高达61.34 MPa。采用X射线衍射(XRD)、热分析(TA)、傅里叶变换红外光谱(FTIR)和扫描电子能谱仪(SEM-EDS)研究了地聚合物的微观结构、矿物相和化学键。结果表明,Class-C FA对地聚合物抗压强度的影响最为显著,其次是BCC。此外,少量添加GP可以优化地聚合物的结构密度。Class-C FA中的Ca参与地聚合反应,形成N–(C)–A–S–H杂化凝胶。RSM优化有利于多种固体废物的协同利用,确保凝胶和填料的均匀分布。本研究为多固体废弃物基地聚合物的制备参数优化及其后续应用建立了理论框架;它对循环经济、资源转化和环境保护具有重要的科学意义。

 

Optimization and mechanism analysis of multi-solid wastes-based geopolymer using response surface methodology

Abstract: The escalating production of industrial solid waste, combined with the dwindling availability of natural resources, has intensified the focus on waste recycling. However, the heterogeneity and complexity of waste pose significant challenges to determining process parameters. In this study, burnt coal cinder (BCC), granite powder (GP), and high-calcium fly ash (Class-C FA) were used as raw materials, and the response surface methodology (RSM) and single-factor experiments were applied to optimize the process parameters for geopolymer preparation. The optimized precursor powder composition was determined to be a mass ratio of 1.6:0.9:7.3 for BCC, GP, and Class-C FA. The NaOH-precursor powder ratio and liquid–solid ratio were adjusted to 0.084 and 0.222, respectively. The curing condition was set at 80°C for 24 h. The resulting 28 d-aged multi-solid wastes-based geopolymer exhibited a high compressive strength of 61.34 MPa. The microstructure, mineral phase, and atomic bonding of geopolymers were investigated using X-ray diffraction (XRD), thermal analysis (TA), Fourier transform infrared spectroscopy (FTIR), and scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS). Findings indicate that the compressive strength of geopolymer is most significantly influenced by the Class-C FA, followed by BCC. Furthermore, a minor addition of GP can optimize the structural density of the geopolymer. The Ca present in the Class-C FA participates in the geopolymerization, forming a hybrid N–(C)–A–S–H gel. RSM optimization facilitates the synergistic utilization of multi-solid wastes, ensuring an even distribution of gel and filler. This research establishes a theoretical framework for optimizing the preparation parameters of multi-solid wastes-based geopolymer and its subsequent applications; it holds significant scientific implications for the circular economy, resource transformation, and environmental conservation.

 

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