基于变深环境模型的油液黏度特性变化规律研究  

Study on Change Rules of Oil Viscosity Characteristics Based on Deepening Environment Model

作　　者：曹学鹏[1,2] 周钊强 王官洪 张翠红[1,2] 杨彬[1] CAO Xuepeng ZHOU Zhaoqiang WANG Guanhong ZHANG Cuihong YANG Bin(School of Construction Machinery, Chang＇ an University, Xi＇ an Shaanxi 710064, China Key Laboratory of Road Construction Technology and Equipment, Chang＇ an University, Xi＇ an Shaanxi 710064, China)

机构地区：[1]长安大学工程机械学院,陕西西安710064 [2]公路养护装备国家工程实验室,陕西西安710064

出　　处：《润滑与密封》2017年第7期1-6,共6页Lubrication Engineering

基　　金：国家自然科学基金项目(51509006);国家高技术研究发展计划(863计划)项目(2012AA091104);陕西省自然科学基金项目(2017JQ5081)

摘　　要：针对变深环境下油液黏度随温度、压力等环境参数的改变而变化的问题,建立变深下以环境压力、海水温度为环境特征参数的变深环境模型。采用"模态方程"推导油液黏度变化规律模型,通过对ISO VG 32与ISO VG 46理论结果进行误差分析,得到其最大误差分别为6.9%、8.4%,验证了该模型的合理有效性。基于上述模型提出以水深为自变量的油液黏度理论分析模型,揭示出随下潜深度的增加油液黏度依次呈快速增加、过渡调整、稳定增加的三段式动态变化规律。变深环境下油液黏度特性变化规律为水下液压介质的择选及变深液压设备的性能分析奠定了理论基础。Aimed at the problem that the viscosity of biodegradable synthetic ester oil changes with the varying environ- mental parameters under deepening environment, such as temperature and pressure, the deepening environment model was established with environmental pressure and sea water temperature as environmental parameters, and the model of oil vis- cosity was deduced by using the ＂modal equation＂ .By analyzing the error of theoretical results of ISO VG 32 and ISO VG 46,their maximum errors are obtained by 6. 9% and 8.4% ,respectively ,which verifies the validity of the model.Based on the above model, a theoretical analysis model of oil viscosity using sea depth as the independent variable was proposed, which reveals three-step dynamic change rules of oil viscosity with the increasing of dive depth, including increasing rapid- ly, transition adjusting and increasing steadily,respectively.The changing rule of oil viscosity characteristics under deepe- ning environment lays theoretical foundations for selection of underwater hydraulic medium and analysis,of the performance of hydraulic equipment in deepening environment.

关 键 词：变深环境 环境模型 黏度特性 变化规律 性能预测 

分 类 号：TH117.2[机械工程—机械设计及理论]