化工进展2026，Vol.45Issue(8)：4473-4487,15.DOI:10.16085/j.issn.1000-6613.2025-1358
生物基金属加工液的纳米增强与数据驱动研究进展
Research progress on nano-enhancement and data-driven of bio-based metal working fluids
摘要
Abstract
In response to the environmental pollution,poor biodegradability and sustainability issues associated with traditional petroleum-based metalworking fluids(MWFs),bio-based nano-enhanced metalworking fluids(nano-MWFs)have emerged as a promising alternative.By combining the eco-friendly properties of bio-based materials with the high performance of nanotechnology,they have become a focal point in research and development.However,current research predominantly focuses on individual materials or properties,lacking systematic integration of the complete technological chain encompassing"base oil-nanoparticle additives-intelligent design methods."Significant gaps exist particularly in data-driven rational design approaches.This review systematically analyzed recent advancements in bio-based metalworking fluids,emphasizing the sources,limitations and modification methods of bio-based base oils as well as the mechanisms through which nanoparticles enhanced lubrication,cooling and anti-wear properties via friction-protective films and"ball-bearing"effects.It summarized key technologies for improving nanoparticle dispersion stability and innovatively explored the application of machine learning and multi-objective optimization in formulation design,performance prediction and mechanism analysis.This paper represented the first systematic integration of three core technologies:Bio-based base oil modification,nanoparticle reinforcement and data-driven optimization.It clarifieed the challenges and synergistic relationships across these stages and innovatively proposed a"performance-oriented,data-driven"framework and technology roadmap for future green manufacturing.This provided comprehensive guidance from theory to design for developing high-performance and environmentally friendly metalworking fluids.关键词
生物基金属加工液/纳米颗粒/润滑机理/分散稳定性/数据驱动Key words
bio-based metalworking fluids/nanoparticles/lubrication mechanism/dispersion stability/data-driven分类
矿业与冶金引用本文复制引用
王为,周明安,代斌,蔺华林,韩生..生物基金属加工液的纳米增强与数据驱动研究进展[J].化工进展,2026,45(8):4473-4487,15.基金项目
国家自然科学基金(22578274,22278269) （22578274,22278269）
上海市教育委员会科研创新计划(2023ZKZD54) （2023ZKZD54）
新疆科技创新项目(2024ZD013) （2024ZD013）
上海市先进功能特种功能润滑技术融合创新中心项目. （）
