2017
DOI: 10.1098/rsos.161031
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Waterjet and laser etching: the nonlinear inverse problem

Abstract: In waterjet and laser milling, material is removed from a solid surface in a succession of layers to create a new shape, in a depth-controlled manner. The inverse problem consists of defining the control parameters, in particular, the two-dimensional beam path, to arrive at a prescribed freeform surface. Waterjet milling (WJM) and pulsed laser ablation (PLA) are studied in this paper, since a generic nonlinear material removal model is appropriate for both of these processes. The inverse problem is usually sol… Show more

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Cited by 20 publications
(5 citation statements)
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“…f (θ) is the coefficient of incidence angle of ion to the normal direction of the mask surface [17]. In the profile evolution module, the whole hole opening is composed of many discrete nodes and it evolutes according the string algorithm [12][13][14][19][20][21][22][23][24][25]. Details can be found in the previous work [26].…”
Section: Simulation Methodsmentioning
confidence: 99%
“…f (θ) is the coefficient of incidence angle of ion to the normal direction of the mask surface [17]. In the profile evolution module, the whole hole opening is composed of many discrete nodes and it evolutes according the string algorithm [12][13][14][19][20][21][22][23][24][25]. Details can be found in the previous work [26].…”
Section: Simulation Methodsmentioning
confidence: 99%
“…To portray the profile evolution, this module is based on the string algorithm . The whole profile of the mask pattern is divided into many nodes.…”
Section: Modeling Frameworkmentioning
confidence: 99%
“…Bilbao-Guillerna, Axinte, and Billingham [18] formulated the linear inverse problem for energy beam processing in the case of AWJ and developed a linear model for the prediction of shallow etched surfaces. In another study, Bilbao-Guillerma et al [19] proposed an improved model for pocket milling by AWJM and laser ablation based on an inverse formulation, which could be valid for modeling both shallow and deep pockets, as well as non-straight passes. The model, formulated as an optimization problem, employed an etching rate function and a parametric beam path and the results showed a high level of accuracy for the prediction of the morphology of the etched surface.…”
Section: Introductionmentioning
confidence: 99%