Automated Toolset Selection for Feature Manufacturing

Autor:	Burkhard Kittl, Farsad Badjgholi, Markus Stumptner
Rok vydání:	2002
Předmět:	Constraint (information theory) Constraint algorithm Core (game theory) business.industry Feature (computer vision) Computer science Intelligent design Software engineering business Cad system Selection (genetic algorithm) Task (project management)
Zdroj:	Artificial Intelligence in Design ’02 ISBN: 9789048160594 AID
DOI:	10.1007/978-94-017-0795-4_25
Popis:	Optimal tool selection is a crucial task in the efficient employment of numerically controlled machines that is increasing in complexity and difficulty. We describe a constraint-based approach for the intelligent design of toolsets for work piece manufacturing on NC machines. Initial part designs can be produced and imported from a commercial CAD system. The toolset designer incorporates tool data from manufacturer catalogs, enhances the features with manufacturing information, and selects an optimal toolset that minimizes cost, refit cost, or number of tools as desired. The core of the implementation is an optimizing constraint algorithm that can be formally expressed in terms of generative constraints, a successful configuration formalism.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b61387d1cfac737348a1eb72d2822564 https://doi.org/10.1007/978-94-017-0795-4_25 Zobrazit plný text záznamu