2012
DOI: 10.1016/j.procir.2012.04.022
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Using NC-path Deformation for Compensating Tool Deflections in Micromilling of Hardened Steel

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Cited by 21 publications
(5 citation statements)
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“…In this study, the author proposes a prediction of the robot deformation and adapts the toolpath to obtain the desired geometry. Biermann et al [15] also present a toolpath adaptation method to compensate tool flexion in micro-milling machining. Moreover, the author proposes to use the control point of B-spline curves to adapt the toolpath to balance the tool flexion.…”
Section: State Of the Artmentioning
confidence: 99%
“…In this study, the author proposes a prediction of the robot deformation and adapts the toolpath to obtain the desired geometry. Biermann et al [15] also present a toolpath adaptation method to compensate tool flexion in micro-milling machining. Moreover, the author proposes to use the control point of B-spline curves to adapt the toolpath to balance the tool flexion.…”
Section: State Of the Artmentioning
confidence: 99%
“…Tool deflection also turns out to be a major problem when it comes to micro level milling process. Even cemented carbide is used, for the tool diameter 1mm and 8mm length cutting edge, tool deflected up to 100µm while cutting high speed steel 63 HRC [16]. Even though titanium alloy is having hardness far less than high speed steel, the amount of deflection still cannot be totally neglected.…”
Section: Tool Size Effectmentioning
confidence: 99%
“…In large, thin-walled parts machining deformation is easy to produce, and cutting parameters are important factors affecting machining deformation. Biermann 6 considered the cutting force is the direct factor causing the machining deformation, and the cutting parameters are the important factors affecting the cutting force. Therefore, Hao 7 established a prediction model of cutting force about cutting parameters, and established the models of milling force and machining deformation based on the cantilever deformation principle.…”
Section: Introductionmentioning
confidence: 99%