| This paper comes from the national patent for Professor Liangxichang and Professor Wangjiaxu . The lvbo speed reducer used in robot is a new type drive , which is developed on the basis of harmonic drive .It has a serial advantage ,such as wide range of transmission ratio ,high transmission accuracy, little backlash ,high rigidity ,high capacity of impact resistance ,small volume, compact structure and high transmission efficiency etc. So it will be widely paid attention to at home and abroad . Study on the optimization design theory and method of this new type lvbo drive is not only of theoretical significance,but also of practical value. The main work of this paper includes:1.This paper presents an improved new design of harmonic reducer , based upon the established one . With the help of I-DEAS, the solid modeling is firstiy carried out . Then the assembly simulations were also carried out and generated the assembly models.2.The paper analyses the every main factor which affects the transmission accuracy of lvbo speed reducer. on the above basis, the analysis of intensity, rigidity , balance must be done in order to design this speed reducer .The rigidity analysis is calculation quantitatively with routine method and ISO method. Finite element analysis by means of I-DEAS software, including auto-modeling of finite element analysis model, stress and deformation analysis, contact stress analysis and post processing. According to the contact theory of Hertz , verified the strength and rigidity for gear wheel of lvbo speed reducer.3.In order to economize material of lvbo speed reducer, we have researched the two aspects of the lvbo speed reducer, which have improved the solid modeling and have bringed the new material into use.4.The third sets of advanced sample machine is successfully manufactured by cooperating with the factory . Because the lvbo speed reducer used in robot requires high accuracy of transmission accuracy , static state test of measuring of transmission accuracy is conducted to prove all the mathematical models are correct. |