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Prediction Method of Grinding Temperature in Ultrasonic Vibration Assisted Grinding of Brittle Materials

A grinding temperature and ultrasonic vibration technology, applied in computer-aided design, geometric CAD, design optimization/simulation, etc., can solve the problems of not considering ultrasonic vibration parameters and unable to reflect processing conditions.

Active Publication Date: 2020-06-26
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0003] The technical problem solved by the present invention is to provide a method for predicting the grinding temperature of brittle materials in ultrasonic vibration-assisted grinding, so as to solve the problem that the existing grinding temperature calculation method does not consider the influence of ultrasonic vibration parameters and cannot reflect the real processing conditions , while the present invention can realize accurate prediction of grinding temperature in ultrasonic vibration assisted grinding process of brittle materials

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  • Prediction Method of Grinding Temperature in Ultrasonic Vibration Assisted Grinding of Brittle Materials
  • Prediction Method of Grinding Temperature in Ultrasonic Vibration Assisted Grinding of Brittle Materials
  • Prediction Method of Grinding Temperature in Ultrasonic Vibration Assisted Grinding of Brittle Materials

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[0023] In order to illustrate the technical scheme and technical purpose of the present invention, the present invention will be further introduced below in conjunction with the accompanying drawings and specific embodiments.

[0024] combine figure 1 , a method for predicting the grinding temperature of ultrasonic vibration-assisted grinding of brittle materials of the present invention, the specific steps are as follows:

[0025] Step 1, establish the mathematical model of the grinding force F in the grinding process; according to the relationship between the theoretical removal volume and the actual removal volume of the material, the mathematical model of the grinding force for ultrasonic vibration-assisted grinding of brittle materials is calculated as:

[0026]

[0027] In the formula, K is the correction coefficient; K 0 is a dimensionless constant; H V is the Vickers hardness of the workpiece; K IC Fracture toughness of workpiece; C 0 is a dimensionless constant...

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Abstract

The invention discloses an ultrasonic vibration assisted grinding brittle material grinding temperature prediction method which includes the steps: 1 building a mathematical model of grinding force F in the grinding process; 2 determining heat source strength q; 3 determining temperature rising time t; 4 determining a prediction formula of grinding temperature theta; 5 determining a correction factor K; 6 determining a final prediction formula of planar grinding temperature theta, and predicting the grinding temperature under different parameters. The feeding speed of abrasive particles, the rotating speed of a spindle and the influence of grinding depth on the grinding temperature are taken into consideration, the influence of such factors on the grinding temperature is represented by the correction factor K, and the method is closer to practice.

Description

technical field [0001] The invention belongs to the technical field of ultrasonic vibration-assisted grinding, in particular to a method for predicting the grinding temperature of brittle materials in ultrasonic vibration-assisted grinding. Background technique [0002] Brittle materials have good physical properties, but at the same time, these materials have high hardness and low fracture toughness, which makes their processing difficult. Therefore, there is an urgent need for a new processing technology to solve the problems of traditional processing methods. Existing studies have shown that ultrasonic vibration assisted grinding technology is an ideal way to solve this problem. In the process of ultrasonic vibration-assisted grinding of brittle materials, the grinding temperature directly affects the surface quality of the workpiece, so it is necessary to predict the grinding temperature. Song Huidong used the good nonlinear mapping function of the BP neural network to...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F30/17G06F119/08
CPCG06F30/17G06F30/20G06F2119/08
Inventor 郑侃孟恒廖文和郭伟华马文瑞
Owner NANJING UNIV OF SCI & TECH
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