文献类型：期刊文献

英文题名：Selection of Various Indications of Tempering Lubricant Concentration Reuse in the Wet Rolling Process

作者：Zeng, Junjian[1];Du, Yijun[1];Sheng, Fang[1];Shen, Haitao[2];Zhao, Jigang[2]

机构：[1]Shaoxing Univ, Yuanpei Coll, Shaoxing, Peoples R China;[2]East China Univ Sci & Technol, Int Joint Res Ctr Green Energy Chem Engn, Shanghai, Peoples R China

年份：2024

外文期刊名：LUBRICATION SCIENCE

收录：SCI-EXPANDED(收录号：WOS:001272257000001)、、EI(收录号：20242916712821)、Scopus(收录号：2-s2.0-85198528374)、WOS

基金：Funding was received from Shaoxing University research project (2023LG018) and Shaoxing University Yuanpei College research project (KY2022Q01).

语种：英文

外文关键词：concentration; evaluation; impurities; reuse; tempering lubricant

外文摘要：Discarded tempering lubricants retained significant reuse potential, making their recycling a vital step in reducing resource wastage and wastewater treatment costs in the strip steel industry. Hence, developing an accurate, rapid evaluation indicator for recycled fluid concentration was essential for facilitating this process. Research showed that among common evaluation indicators for metal fluids, three-electrical conductivity, refractive index and total base number (TBN)-due to their high linear correlation with tempering lubricant concentration (R2 > 0.995), could be utilised to monitor the dynamic changes in the concentration of tempering lubricants. Subsequent experiments on reused tempering lubricants revealed that electrical conductivity, significantly altered by iron powder (7%-24% variance), and refractive index, impacted by hydraulic oil (3% deviation), highlighted contaminant challenges; yet, filtration effectively mitigated iron powder's effect on TBN. Finally, A 17-day reused tempering lubricants simulation demonstrated consistent effectiveness of the three indicators in monitoring the need to update tempering lubricant concentration. However, in terms of sensitivity, precision, and particularly stability and relative mean deviation, the TBN concentration evaluation indicator outperformed, with TBN (3.38%) < Refractive Index (7.92%) < Electrical Conductivity (11.05%). This indicates the TBN method's superior stability over conductivity and refractive index methods, with its accuracy deviation below 2%, making it a stable, simple and reliable metric worthy of broader adoption.