Study On Surface Quality In Ultrasonic Vibration Grinding Of Ferrite Magnetic Materials

Compared with other metal magnetic materials, ferrite magnetic materials havehigh resistivity. The eddy current loss is small in high frequency application. Ferrite hasbeen widely used in communications, instrumentation, computer and other fields.Ferrite is a kind of ceramic material with high hardness and brittleness. It has poorperformance in the ability of its process and quality. Compared with the conventionalgrinding, grinding force and heat were reduced during ultrasonic vibration grinding. Atthe same time ultrasonic vibration grinding can improve the surface quality under theguarantee of the material removal rate, this paper will study the influence of processparameters on the machined surface quality during ultrasonic vibration grinding toprovide technical support for the practical application of the technology.For the analysis of material removal process during ultrasonic vibration grinding,material removal mode can been obtained by observing the surface of the machinedworkpiece. According to material removal mode, micro-indentation test,nano-indentation test and simulation were carried out to study material removal process.At the same time abrasive kinematics analysis was carried out to research the effect ofabrasive grinding path on material removal.To research the change rules of grinding force in the machining process, grindingforce prediction model was established and relevant experiments had been completed.The theoretical and experimental values were compared to verify the accuracy of thegrinding force model. The effects of process parameters on the grinding force wereanalysised. Combined with the results of the grinding force, the form of tool wear andthe reason which caused tool wear were researched in ultrasonic vibration grindingprocess.The single factor experiments and orthogonal experiments were carried out toresearch the spindle speed, grinding depth, transverse feeding speed and the amplitudeof ultrasonic vibration how to influence the surface roughness. On the basis of the aboveresearch, the author has carried on the multiple linear regression analysis. The surfaceroughness prediction model has been established. The research can provide the basis forprocess parameters optimization to obtain the high surface quality of the ferrite.