Zeng Junjian, Du Yijun, Fang Sheng, Shen Haitao, Zhao Jigang
{"title":"选择湿法轧制过程中回火润滑剂浓度重复使用的各种指标","authors":"Zeng Junjian, Du Yijun, Fang Sheng, Shen Haitao, Zhao Jigang","doi":"10.1002/ls.1711","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>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 (<i>R</i>\n <sup>2</sup> > 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.</p>\n </div>","PeriodicalId":18114,"journal":{"name":"Lubrication Science","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Selection of Various Indications of Tempering Lubricant Concentration Reuse in the Wet Rolling Process\",\"authors\":\"Zeng Junjian, Du Yijun, Fang Sheng, Shen Haitao, Zhao Jigang\",\"doi\":\"10.1002/ls.1711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>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 (<i>R</i>\\n <sup>2</sup> > 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.</p>\\n </div>\",\"PeriodicalId\":18114,\"journal\":{\"name\":\"Lubrication Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lubrication Science\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ls.1711\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lubrication Science","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ls.1711","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Selection of Various Indications of Tempering Lubricant Concentration Reuse in the Wet Rolling Process
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.
期刊介绍:
Lubrication Science is devoted to high-quality research which notably advances fundamental and applied aspects of the science and technology related to lubrication. It publishes research articles, short communications and reviews which demonstrate novelty and cutting edge science in the field, aiming to become a key specialised venue for communicating advances in lubrication research and development.
Lubrication is a diverse discipline ranging from lubrication concepts in industrial and automotive engineering, solid-state and gas lubrication, micro & nanolubrication phenomena, to lubrication in biological systems. To investigate these areas the scope of the journal encourages fundamental and application-based studies on:
Synthesis, chemistry and the broader development of high-performing and environmentally adapted lubricants and additives.
State of the art analytical tools and characterisation of lubricants, lubricated surfaces and interfaces.
Solid lubricants, self-lubricating coatings and composites, lubricating nanoparticles.
Gas lubrication.
Extreme-conditions lubrication.
Green-lubrication technology and lubricants.
Tribochemistry and tribocorrosion of environment- and lubricant-interface interactions.
Modelling of lubrication mechanisms and interface phenomena on different scales: from atomic and molecular to mezzo and structural.
Modelling hydrodynamic and thin film lubrication.
All lubrication related aspects of nanotribology.
Surface-lubricant interface interactions and phenomena: wetting, adhesion and adsorption.
Bio-lubrication, bio-lubricants and lubricated biological systems.
Other novel and cutting-edge aspects of lubrication in all lubrication regimes.