Quality control of baked carbon anodes and assessment of their performance in aluminium reduction cells

铝电解槽中烘烤碳阳极的质量控制及其性能评估

• 批准号: 509004-2017
• 负责人: Duchesne, Carl
• 金额: $ 4.11万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618273
• 关键词: Quality; control; baked; carbon; anodes

The aim of this research program is to improve the decision making of primary aluminum smelters and anode manufacturers to mitigate the impact of the declining quality and increasing variability of the anode raw materials (coke and pitch) on aluminum reduction cell performance. To achieve this, new process analytical sensors will be developed and tested for rapid and non-destructive assessment of green and baked anode quality. These will be used to design an automatic control strategy to minimize the anode electrical resistivity, and to develop a baked anode inspection scheme to detect the presence of defects within their internal structure (large pores and cracks) and diagnose them. This part of the research program is expected to contribute to producing higher quality anodes and more consistently, and to enable timely feedback corrective actions to be implemented on the anode manufacturing process when abnormal situations occur. In the second part of the program, modelling tools combining the information provided by the analytical sensors and the routinely collected data from the anode manufacturing and aluminum reduction processes will also be proposed in order to better understand how the anodes populating a cell affects its performance and how individual anodes are consumed. These new learnings will subsequently be utilized to establish multivariate specifications regions for baked anode electrical resistivity and inspection results in order to sort defect green anodes before baking, and defect baked anodes before being set in the cells. The models could also support decision making on which cells would be the best candidates to receive the next set of fresh anodes and in which position in the cell to minimize the risk of deteriorating its performance. Expected benefits from improved decision making using the proposed sensors and modelling tools includes costs savings, waste reduction, lower carbon consumption, and higher energy efficiency, in addition to help maintaining the competitiveness and leadership position of the Canadian aluminum industry Worldwide.

该研究计划的目的是改善主要铝冶炼厂和阳极制造商的决策，以减轻质量下降的影响，并增加阳极原料（可乐和俯仰）对铝还原细胞性能的变化。为此，将开发并测试新的工艺分析传感器，以快速和无损地评估绿色和烘焙阳极质量。这些将用于设计自动控制策略，以最大程度地减少阳极电阻率，并开发出烘焙的阳极检查方案，以检测其内部结构（大毛孔和裂缝）中缺陷的存在并诊断它们。该研究计划的这一部分有望有助于产生更高质量的阳极，并更加一致，并在发生异常情况时能够在阳极制造过程中实施及时的反馈纠正措施。在该计划的第二部分中，还将提出结合分析传感器提供的信息以及从阳极制造和减少铝减少过程中的数据进行建模工具，以便更好地了解细胞的阳极群如何影响其性能以及如何消耗单个阳极。随后，这些新的学习将用于建立用于烘焙阳极电阻率和检查结果的多元规格区域，以便在烘烤前对缺陷进行缺陷绿阳极，并在将其放置在细胞中之前烘烤缺陷。这些模型还可以支持决策哪些细胞是接收下一组新鲜阳极的最佳候选者，以及在细胞中哪个位置以最大程度地减少其性能恶化的风险。使用拟议的传感器和建模工具改进决策所带来的预期收益包括节省成本，减少碳消耗，较低的碳消耗以及更高的能源效率，此外还可以帮助维持全球加拿大铝业行业的竞争力和领导地位。