Aiming the insufficient digging force and fuel economy of hydraulic excavator under common working condition, a new optimal design method for working device of hydraulic excavator based on synthesis digging is proposed after a comprehensive comparison of digging performance parameters between domestic and international advanced excavators. The specific methods of synthesis digging include the combination of single-cylinder digging trajectories as a customary digging path and complex digging of two active cylinders on a point in feasible area. Fully considering the characteristics of consecutive digging process of hydraulic excavator, the best digging performance on its customary digging path can be obtained with optimal design based on digging path. The maximum complex digging force and the proportion of two active cylinders when giving full play can be improved with optimal design based on complex digging in the feasible area to enhance the digging efficiency. The optimization mathematical model is built and the multi-objective optimization is solved by using of genetic algorithm. The optimization result shows that a certain model of a excavators maximum digging force on the customary digging paths is improved by 10%, the proportion of two active cylinders when giving full play in complex digging process is improved by 13% and the maximum complex digging force is improved by 8% after the optimization on the working device of the excavator with weak digging force, which proves that the new optimal design method based on synthesis digging is feasible to improve the digging performance of hydraulic excavator．
CHEN Jin, QING Fei, PANG Xiao-ping. Optimal design of backhoe hydraulic excavator working device based on synthesis digging. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2014, 48(9): 1654-1660.
［1］ 林慕义.单斗液压挖掘机构造与设计［M］.北京:冶金工业出版社,2011:35.
［2］陈进,李秋波,张石强,等.正铲液压挖掘机挖掘性能图谱叠加分析法［J］.中国工程机械学报,2011,9(1):32-37．
CHEN Jin, LI Qiu-bo, ZHANG Shi-qiang, et al. Atlas overlay analysis on digging performance for hydraulic face-shovels ［J］. Chinese Journal of Construction Machinery, 2011,9(1):32-37．
［3］荣洪均.液压挖掘机反铲工作装置整机理论复合挖掘力的计算模型及其应用研究［D］.重庆:重庆大学,2007．
RONG Hong-jun. Research and application for calculating model of theoretical digging force under combined work condition for hydraulic excavator with backhoe attachment ［D］.Chongqing: Chongqing University, 2007．
［4］KIM Y M, KANG H, HA J H, et al. A study on the virtual digging simulation of a hydraulic excavator ［C］∥Proceedings of the 28th International Symposium on Automation and Robotics in Construction. Korea: ISARC ,2011:95-100．
［5］ FRIMPONG S, LI Y. Virtual prototype simulation of hydraulic shovel kinematics for spatial characterization in surface mining operations ［J］. International Journal of Surface Mining, Reclamation and Environment, 2005, 19(4): 238-250．
［6］ 陈国俊.液压挖掘机［M］.武汉:华中科技大学出版社,2011:18-21.
［7］ SUI Tian-zhong, WANG Lei, TAN Zhen, et al. Structural parameters optimization of excavator working device based on mining process ［J］. Advanced Materials Research, 2012,421:759-763．
［8］ MRAD F, ABDUL-MALAK M A, SADEK S, et al. Automated excavation in construction using robotics trajectory and envelop generation ［J］.Engineering Construction and Architectural Management, 2002,9(4):325-335.
［9］ 朱红妹.液压挖掘机挖掘性能分析与挖掘力分析计算［J］.化工装备技术,2007,28(4)：72-76.
ZHU Hong-mei. Digging performance analysis and digging force calculation for hydraulic excavator ［J］. Chemical Equipment Technology, 2007,28(4):72-76．
［10］ CHEN Jin, LI Gang. Optimization design of backhoe hydraulic excavator working device based on feasible digging area ［C］∥Proceedings of the 2011 International Conference on Advances in Construction Machinery and Vehicle Engineering. SHANGHAI:ACMVE, 2011:130-133．
［11］ WARD P, WAKELING A, WEEKS R, et al. Design of an excavator arm using optimization techniques ［C］∥SAE Technical Paper Series.［S.l］:［s.n.］,1987: 64-67.
［12］ JENKINS W M. Towards structure optimization via the genetic algorithm［J］. Computer & Structure, 1991,40(5):1321-1327．
［13］ 张艳.Visual Basic程序设计教程［M］.徐州:中国矿业大学出版社,2001:25-50.
