The establishment of stochastic grinding force and vibration model considering random grit distribution and ground surface roughness model with the effect of vibration

博士 === 國立成功大學 === 機械工程學系碩博士班 === 96 === Considering the random nature of grit distribution, this thesis establishes a grinding system, incorporating the stochastic grinding force, vibration and ground surface roughness model. First, a closed form expression for the stochastic grinding force as a fun...

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Main Authors: Huang-cheng Chang, 張煌權
Other Authors: J-J Junz Wang
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/71470402662727090258
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spelling ndltd-TW-096NCKU54900412016-05-09T04:14:18Z http://ndltd.ncl.edu.tw/handle/71470402662727090258 The establishment of stochastic grinding force and vibration model considering random grit distribution and ground surface roughness model with the effect of vibration 考慮磨粒隨機分佈之磨削力、振動及包含振動效應之表面粗糙度模式建立 Huang-cheng Chang 張煌權 博士 國立成功大學 機械工程學系碩博士班 96 Considering the random nature of grit distribution, this thesis establishes a grinding system, incorporating the stochastic grinding force, vibration and ground surface roughness model. First, a closed form expression for the stochastic grinding force as a function of the grinding conditions and grit distribution is presented. With the grinding force model, further analytical study can then be carried out to investigate the effects of wheel properties, machine dynamics and process parameters on the resulting grinding vibration, as well as in characterizing the effect of vibration on the ground surface topology. The stochastic grinding force model is formulated as the convolution of a single grit force and the grit density function in time domain, while the power spectrum density (PSD) of the total grinding force can be expressed as a product of the energy spectrum density of the single grit force and the PSD of the grit density function. A series of grinding experiments were performed and their results discussed to validate this model. Incorporating with the dynamics of the machine structure and the established force model, a closed loop grinding system was established. The system can be further simplified to an open loop system, thus the analytical expression for the PSD of grinding vibration can be derived. The effects of grinding conditions on the machine vibration can be analyzed based on the analytical expression machine vibration, and the results were verified by the experiments. By the variance analysis of kinematic grit and machine vibration profiles, an analytical ground surface roughness model representing their explicit effects on the ground surface was developed. The surface profile is treated as the superposition of the kinematic grit and vibration profiles. By the variance analysis of the two profiles, the root-mean-square ground surface roughness model can be derived. The transmitting factor, which defines the partition of power transmitted from spindle vibration to the ground surface, was derived from the dynamic grinding system and is related to the stiffness of the process, namely the workpiece cutting stiffness and wheel contact stiffness. An experimental procedure for identifying the stiffness in surface grinding was also developed. Discussions regarding the grinding conditions for the surface roughness based on experimental and model analysis results are presented. The model predictions and experimental results support the finding that a greater grinding depth and width increases the grinding force and hence deteriorates the ground surface. J-J Junz Wang 王俊志 2008 學位論文 ; thesis 115 zh-TW
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language zh-TW
format Others
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description 博士 === 國立成功大學 === 機械工程學系碩博士班 === 96 === Considering the random nature of grit distribution, this thesis establishes a grinding system, incorporating the stochastic grinding force, vibration and ground surface roughness model. First, a closed form expression for the stochastic grinding force as a function of the grinding conditions and grit distribution is presented. With the grinding force model, further analytical study can then be carried out to investigate the effects of wheel properties, machine dynamics and process parameters on the resulting grinding vibration, as well as in characterizing the effect of vibration on the ground surface topology. The stochastic grinding force model is formulated as the convolution of a single grit force and the grit density function in time domain, while the power spectrum density (PSD) of the total grinding force can be expressed as a product of the energy spectrum density of the single grit force and the PSD of the grit density function. A series of grinding experiments were performed and their results discussed to validate this model. Incorporating with the dynamics of the machine structure and the established force model, a closed loop grinding system was established. The system can be further simplified to an open loop system, thus the analytical expression for the PSD of grinding vibration can be derived. The effects of grinding conditions on the machine vibration can be analyzed based on the analytical expression machine vibration, and the results were verified by the experiments. By the variance analysis of kinematic grit and machine vibration profiles, an analytical ground surface roughness model representing their explicit effects on the ground surface was developed. The surface profile is treated as the superposition of the kinematic grit and vibration profiles. By the variance analysis of the two profiles, the root-mean-square ground surface roughness model can be derived. The transmitting factor, which defines the partition of power transmitted from spindle vibration to the ground surface, was derived from the dynamic grinding system and is related to the stiffness of the process, namely the workpiece cutting stiffness and wheel contact stiffness. An experimental procedure for identifying the stiffness in surface grinding was also developed. Discussions regarding the grinding conditions for the surface roughness based on experimental and model analysis results are presented. The model predictions and experimental results support the finding that a greater grinding depth and width increases the grinding force and hence deteriorates the ground surface.
author2 J-J Junz Wang
author_facet J-J Junz Wang
Huang-cheng Chang
張煌權
author Huang-cheng Chang
張煌權
spellingShingle Huang-cheng Chang
張煌權
The establishment of stochastic grinding force and vibration model considering random grit distribution and ground surface roughness model with the effect of vibration
author_sort Huang-cheng Chang
title The establishment of stochastic grinding force and vibration model considering random grit distribution and ground surface roughness model with the effect of vibration
title_short The establishment of stochastic grinding force and vibration model considering random grit distribution and ground surface roughness model with the effect of vibration
title_full The establishment of stochastic grinding force and vibration model considering random grit distribution and ground surface roughness model with the effect of vibration
title_fullStr The establishment of stochastic grinding force and vibration model considering random grit distribution and ground surface roughness model with the effect of vibration
title_full_unstemmed The establishment of stochastic grinding force and vibration model considering random grit distribution and ground surface roughness model with the effect of vibration
title_sort establishment of stochastic grinding force and vibration model considering random grit distribution and ground surface roughness model with the effect of vibration
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/71470402662727090258
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