摘要
准确获知产品运行大数据对于产品研发与创新具有重要意义。传感网、物联网和CPS等技术的发展使得越来越多的产品运行数据获取成为可能,在此基础上,提出基于运行大数据采集、分析和应用的装载机变速箱优化设计流程。首先选取原生土、铁矿石、细沙和煤渣四种作业对象的典型作业工况,设计采集方案并完成运行大数据采集;然后将获取的挡位信号转化为累积挡位利用率,液压泵压力信号转化为液压系统分流功率,并以此作为轮式装载机动力性和燃油经济性的建模优化因素;最后利用MOPSO和NSAG-Ⅱ两种优化算法权衡动力性、经济性及约束条件的多目标竞争与冲突关系,最终获得保证最优动力性基础上,实现最佳经济性的可行域解集。两种算法获得的最优解集相对于原始设计,在同等仿真条件下,分别使功率损失率降低8.83%、4.80%,工况油耗降低0.19%、0.34%。研究表明,将在役产品运行大数据反馈应用于产品研发前端的设计方法,是实现产品升级和创新设计的一个有效途径。
The big data collected during the product operations is of great value for product design, equipment maintenance and health assessment. It aims to optimize the wheel loader gearbox design by exploiting the big data acquired when the wheel loader is operating. A data-driven design optimization model is proposed, including data collection, data analysis, and optimization of the wheel loader gearbox. First, a data acquisition system is designed to collect the operational signals under four typical working conditions, i.e. native soil, iron ore, fine sand and coal cinder. Subsequently, the obtained gear operating signals and hydraulic pump pressure signals are processed and converted to cumulative gear utilization and the hydraulic system diversion power, respectively, which are further deployed as the optimization factors for the wheel loader power and fuel economy models. To solve the optimization models, the MOPSO and NSAG-Ⅱ algorithms are implemented to leverage diverse competing and conflicting goals related to multiple sub-targets of the gearbox design. The objective function is geared towards the optimal power performance while achieving fuel economy. Simulation studies indicate improvements of the resulting optimal design. For the respective MOPSO and NSAG-Ⅱ optimal solutions, the power loss rate is reduced by 8.83% and 4.80%, respectively, whilst the fuel consumption is reduced by 0.19% and 0.34%, respectively. The studies demonstrate the feasibility and potential of design optimization with consideration of feedbacks from big operating data. It is envisioned that product operating data-driven design is promising approach to facilitating continuous design improvement and promoting product innovation.
作者
王少杰
侯亮
方奕凯
林浩菁
郭涛
焦建新
WANG Shaojie;HOU Liang;FANG Yikai;LIN Haoqing;GUO Tao;JIAO Jianxin(Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361102;Xiamen XGMA Machinery Co., Ltd, Xiamen 361023;Georgia Institute of Technology, Atlanta, GA 30332 USA)
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2018年第22期218-232,共15页
Journal of Mechanical Engineering
基金
福建省科技重大专项(2016HZ0001-9)
"十三五"厦门市海洋经济创新发展示范(16CZB033SF14)资助项目
关键词
产品开发
运行大数据
装载机
变速箱
优化设计
挡位利用率
燃油经济性
product development
big operating data
wheel loader
gearbox
optimal design
gear utilization ratio
fuel economy
