In this paper a technique to compute the 3-axis toolpath for a thin-wall component is presented aiming at maximizing the engagement conditions, keeping the geometry in tolerance. The toolpath generation is based on the static deflection of the component, predicted by coupling a mechanistic model of the cutting forces with a FE model of the workpiece, including, at each machining step, material removal mechanism. The algorithm follows the milling cycle in the reverse order: starts from the finished part, computes the maximum allowable radial depth of cut, and, adding material accordingly, generates the toolpath until the stock is built. The proposed technique has been experimentally validated, proving its effectiveness.

Adaptive toolpath for 3-axis milling of thin walled parts / Grossi N.; Scippa A.; Croppi L.; Morelli L.; Campatelli G.. - In: MM SCIENCE JOURNAL. - ISSN 1803-1269. - ELETTRONICO. - 2019:(2019), pp. 3378-3385. (Intervento presentato al convegno iAM CNC/MTTRF annual meeting 2019 tenutosi a San Francisco (CA) nel June 27th June 29th 2019) [10.17973/MMSJ.2019_11_2019096].

Adaptive toolpath for 3-axis milling of thin walled parts

Grossi N.
;
Scippa A.;Croppi L.;Campatelli G.
2019

Abstract

In this paper a technique to compute the 3-axis toolpath for a thin-wall component is presented aiming at maximizing the engagement conditions, keeping the geometry in tolerance. The toolpath generation is based on the static deflection of the component, predicted by coupling a mechanistic model of the cutting forces with a FE model of the workpiece, including, at each machining step, material removal mechanism. The algorithm follows the milling cycle in the reverse order: starts from the finished part, computes the maximum allowable radial depth of cut, and, adding material accordingly, generates the toolpath until the stock is built. The proposed technique has been experimentally validated, proving its effectiveness.
2019
2019
3378
3385
Grossi N.; Scippa A.; Croppi L.; Morelli L.; Campatelli G.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1181321
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