The Establishment and Verification of Products Error Model Considering Process Variance and Spatial Errors of Machine Tool

碩士 === 國立成功大學 === 機械工程學系碩博士班 === 96 === By analysis of variance, variance model of spatial error of machine tool and a method for identification of process variance both have been developed and verified. Further, the geometrical dimensional error of a milling product can be estimated by combining sp...

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Bibliographic Details
Main Authors: Jia-mao Gao, 高嘉懋
Other Authors: Jiunn-Jyh Junz Wang
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/46904807290350415672
Description
Summary:碩士 === 國立成功大學 === 機械工程學系碩博士班 === 96 === By analysis of variance, variance model of spatial error of machine tool and a method for identification of process variance both have been developed and verified. Further, the geometrical dimensional error of a milling product can be estimated by combining spatial error of machine tool and processing variance under different cutting conditions. The kinematical spatial error model for XYFZ machine configuration was first investigated using vector method. Based on analysis of variance, the spatial error model considering stochastic nature then has been developed. This model was validated through experiments conducted on a milling machine with laser diagonal method as measurement. The two standard-deviation estimated is shown to excellent agreement with measured. For identification of process variance by analysis of variance, a series of EDMed experiments were performed and their results discussed to validate this method. Through considering coupling effect, the results shown that process variance and machine error can be estimated accurately by proposed. With spatial error model of machine tool and the analysis method of process variance, the investigation of milling process shown that the geometrical dimensional error of a milling product can been evaluated. For a given machine tool, the appropriate process parameters can be designed to achieve the best work quality.