Suppr超能文献

基于磨削液水资源回用的滚桶光整加工化学需氧量分析

Analysis of Chemical Oxygen Demand in Barrel Finishing Based on Reusing Water Resource of Grinding Fluid.

作者信息

Shi Huiting, Li Xuenan, Yang Shengqiang, Zhao Ruihao, Yuan Xiang

机构信息

School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China.

College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China.

出版信息

Materials (Basel). 2024 Aug 15;17(16):4051. doi: 10.3390/ma17164051.

Abstract

To explore the sustainable development of grinding fluid in barrel finishing, the idea of water resource reuse in grinding fluid has been proposed. The influence of the graphene oxide (GO) and the sodium dodecyl benzene sulfonate (SDBS) as main components in the grinding fluid on the chemical oxygen demand (COD) was analyzed. Repreparing new grinding fluids by utilizing the water resources in grinding fluid after finishing will not cause a sharp increase in COD value. GO which absorbs SDBS can be taken away from grinding fluid by physical separation. It will decrease the COD value of grinding fluid. However, SDBS exists in the form of colloids in the grinding fluid and cannot be removed through physical separation, which also affects the COD value. Based on water quality indicators (the COD, pH, total hardness, metal aluminum, anionic surfactants, and total dissolved solids), the water quality index (WQI) of the reusing grinding fluid after finishing by the physical separation is significantly reduced. It indicates that reusing water resources in grinding fluid is a feasible way to reuse grinding fluid.

摘要

为探索滚磨加工中磨削液的可持续发展,提出了磨削液水资源再利用的理念。分析了磨削液中作为主要成分的氧化石墨烯(GO)和十二烷基苯磺酸钠(SDBS)对化学需氧量(COD)的影响。利用加工后磨削液中的水资源重新配制新的磨削液不会导致COD值急剧增加。吸附SDBS的GO可通过物理分离从磨削液中去除,这将降低磨削液的COD值。然而,SDBS在磨削液中以胶体形式存在,无法通过物理分离去除,这也会影响COD值。基于水质指标(COD、pH值、总硬度、金属铝、阴离子表面活性剂和总溶解固体),经物理分离后回用的磨削液的水质指数(WQI)显著降低。这表明磨削液水资源再利用是磨削液再利用的一种可行方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/887a/11356664/49b0fe183f2a/materials-17-04051-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验