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Model-based process planning for milling operations using industrial robots

Lars Lienenlüke, Lukas Grundel, Simon Storms, Christian Brecher

Year
2018
Citations
12

Abstract

The machining sector is increasingly making use of industrial robots to benefit from high flexibility and low investment costs in relation to the working area. However, low absolute accuracy as well as low stiffness prevent the breakthrough in industry. This paper describes a concept, developed at the WZL Chair of Machine Tools, which enables robot model-based planning optimization by developing an expert system which represents robot process behavior in milling operations.

Keywords

RobotFlexibility (engineering)Process (computing)MachiningManufacturing engineeringRelation (database)Machine toolIndustrial robotComputer scienceIndustrial engineering

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