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A new error compensation model for machining process based on differential motion vectors.

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Title: A new error compensation model for machining process based on differential motion vectors.
Authors: Yang, Fuyong, Jin, Sun jinsun@sjtu.edu.cn, Li, Zhimin, Ding, Siyi, Ma, Xun
Source: International Journal of Advanced Manufacturing Technology. Nov2017, Vol. 93 Issue 5-8, p2943-2954. 12p. 8 Diagrams, 5 Charts, 1 Graph.
Subjects: Machine tool path, Measurement errors, Machining, Mathematical models
Abstract: The product variation in a machining process is mainly affected by datum error, fixture error, and machine tool path error. In spite of the success of equivalent fixture error approach to compensating datum error and machine tool path error, the machining-induced errors have not been explicitly modeled and compensated by the current compensation model based on equivalent fixture error. This will limit its application in compensation accuracy. This paper formulates a new error compensation model for machining process using equivalent fixture error concept based on differential motion vectors. With this model, datum error and machining-induced errors can be transformed to equivalent fixture locator errors and then compensated. A real cutting experiment and an error compensation simulation for machining process will be conducted in the case study to demonstrate the model validity. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A new error compensation model for machining process based on differential motion vectors.
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  Data: <searchLink fieldCode="AR" term="%22Yang%2C+Fuyong%22">Yang, Fuyong</searchLink><br /><searchLink fieldCode="AR" term="%22Jin%2C+Sun%22">Jin, Sun</searchLink><i> jinsun@sjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Zhimin%22">Li, Zhimin</searchLink><br /><searchLink fieldCode="AR" term="%22Ding%2C+Siyi%22">Ding, Siyi</searchLink><br /><searchLink fieldCode="AR" term="%22Ma%2C+Xun%22">Ma, Xun</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Manufacturing+Technology%22">International Journal of Advanced Manufacturing Technology</searchLink>. Nov2017, Vol. 93 Issue 5-8, p2943-2954. 12p. 8 Diagrams, 5 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Machine+tool+path%22">Machine tool path</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+errors%22">Measurement errors</searchLink><br /><searchLink fieldCode="DE" term="%22Machining%22">Machining</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink>
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  Label: Abstract
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  Data: The product variation in a machining process is mainly affected by datum error, fixture error, and machine tool path error. In spite of the success of equivalent fixture error approach to compensating datum error and machine tool path error, the machining-induced errors have not been explicitly modeled and compensated by the current compensation model based on equivalent fixture error. This will limit its application in compensation accuracy. This paper formulates a new error compensation model for machining process using equivalent fixture error concept based on differential motion vectors. With this model, datum error and machining-induced errors can be transformed to equivalent fixture locator errors and then compensated. A real cutting experiment and an error compensation simulation for machining process will be conducted in the case study to demonstrate the model validity. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Nov2017
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