Abstract
This paper presents a new approach to the workpiece localization problem in machine tools for optimal machining. The proposed localization algorithm is based on a preferential constrained optimization problem solved at each iteration of a global process which aims to best align a sparse data set of points, representing the workpiece, with respect to a corresponding CAD solid representation of the nominal part. The simplex method of direct search is selected to minimize a logarithmic objective function formulated for the workpiece balancing problem. This function is defined to solve the problem of having insufficient stock allowance during a machining operation for complex parts. In those cases, the approach preferentially orients the lack of material during the balancing process, in order to simplify the rework operation. The technique is applied to the balancing of a turbine blade.
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© 2002 Springer Science+Business Media Dordrecht
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Chatelain, JF., Fortin, C. (2002). Optimal Workpiece Localization for Machining Applications. In: Chedmail, P., Cognet, G., Fortin, C., Mascle, C., Pegna, J. (eds) Integrated Design and Manufacturing in Mechanical Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9966-5_29
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DOI: https://doi.org/10.1007/978-94-015-9966-5_29
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-6157-7
Online ISBN: 978-94-015-9966-5
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