Dynamic Characteristics Test And Evolution Mechanism Of Gear Wear Under Initial Defects

With the continuous advancement of mechanization,various mechanical parts have pl ayed an increasingly important role in people&aposs daily production and life.Among the m,the gear box has the advantages of small size,flexible application,large bearing capacit y,strong impact resistance,high power,etc.,and has become an important part of the mech anical equipment transmission system to achieve power transmission and speed optimizatio n.At the same time,the gearbox failure rate accounts for a large proportion of the entire me chanical failure due to its long-term overload work in extreme environments of high tempe rature and pressure.The slight wear scars generated during the initial work and installation of the gear teeth and the defects caused by technical problems during processing are inevitable.When the position and depth of the gear surface defect are different,the degree,type and development of wear of the gear will also vary greatly.Nowadays,the research on wear mostly focuses on the improvement of methods and the identification of wear in specific environments,but the research on the basic theory of wear seems to be insufficient.In this thesis,wear experiments are performed on gears with different initial defects,and the effects of different initial defects on the wear process of gears are explained,and the basic theoretical library of gear wear is enriched.Initial defects of different depths are set near the gear root,the index circle,and the top of the tooth.Modeling and finite element analysis of gears with initial defects,and a preliminary understanding of the effects of initial defects on the gears.Based on the existing force analysis,specific experiments are performed on the treated gears to study the effects of different types of initial defects on the gear wear process.Under loading conditions,the gear is operated until the gear is scrapped.The experiment adopts the method of non-stop sampling,and the lubricant in the gear box is sampled once every hour.After the sampling is completed,the oil sample is uniformly extracted by a particle counter,a ferrospectral analyzer and a metallographic microscope to obtain pictures and data of abrasive particles.The wear particle data and pictures are processed and analyzed by the image processing program to obtain the wear information corresponding to the wear particles at different times.The wear information is compared and analyzed to understand the effect of the initial defect on the gear wear process.The experimental results show that:(1)The initial defects near the tooth root circle have the greatest impact on the life of the gear,and tooth breakage easily occurs.(2)Slight scratches will also play a role in surface micro-texturing during the early operation of the gear.By storing lubricating oil and abrasive particles to protect and improve the surrounding friction environment.The grooves on the tooth surface of gears are mostly the function of the oil wedge theory.Under the continuous squeezing of the sludge,the grooves continue to expand,and the metal extends and spreads in two directions to exacerbate wear.Eventually fractures occur at the grooves.Based on the data obtained from the above-mentioned abrasive grain image processing,the relationships between different types of abrasive grains and their corresponding specific morphological and texture features are obtained.A network model based on the quantum particle swarm algorithm was established,and different types of abrasive particles could be identified and classified.Its recognition accuracy is higher than the network recognition model based on particle swarm algorithm.