The hydrostatic-mechanic model of working device of hooklift was established in the environment of mechanical system dynamics software of ADAMS and a co-simulation was carried out under variable loads and multi-operating modes.The contacts between container wheels and the surface,container and directive wheels of subframe were defined as non-linear spring-damping forces,so a more actual dynamic response was obtained.The analysis of the results reveals that the co-simulation can effectively reflect the dynamics of cylinder force and hooklift force under the operations of container-loading and garbage-dumping.A practical method for dynamic analysis of hooklift working device is provided.

The main design points of the hooklift were parameterized and its mechanical system and the hydrostatic system were built using the mechanical system dynamics software of ADAMS for the improved performance.The hydrostatic-mechanical virtual prototype was established by the integration of the two systems through parameter correlation technology under ADAMS environment.The locations of revolute joints were optimized with the minimum of the maximal cylinder forces as the optimization goal,by using the non-linear sequential quadratic programming method of OPTDES.The optimization results showed that the maximal cylinder forces had reduced greatly as well as the maximal hook forces,in the container-loading case and garbage-dumping case.By contrast with traditional optimization methods,the introduction of the virtual prototype technology had sharply improved the capability and reduced the cost of the hooklift working device.

The mechanical system and the hydrostatic system of a hooklift are built using the software of Pro/E and ADAMS(Automatic Dynamic Analysis of Mechanical Systems).The hydrostatic and mechanical virtual hooklift model is established by the integration of the two systems through parameter correlation technology under ADAMS environment and a large amount of kinematic and dynamic simulations and analyses are carried out.It is expected to use the results to predict the feasibility of the design plan and trial-production of the physical prototype so as to raise the speed and precision of product development and reduce the development cost.