Digital image approach to tool path generation for surface machining

Conventional tool path generation algorithms are usually dependent to the surface geometry and thus case-sensitive. A specific tool path planning method for regular parametric surfaces cannot directly handle a triangular mesh surface, and vice versa. Presented in this paper is a unified digital imag...

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Bibliographic Details
Published inInternational journal of advanced manufacturing technology Vol. 101; no. 9-12; pp. 2547 - 2558
Main Authors Xu, Ke, Li, Yingguang
Format Journal Article
LanguageEnglish
Published London Springer London 01.04.2019
Springer Nature B.V
Subjects
Algorithms
CAE) and Design
Computer simulation
Computer-Aided Engineering (CAD
Digital imaging
Engineering
Fields (mathematics)
Finite element method
Global optimization
Image processing
Industrial and Production Engineering
Machining
Mechanical Engineering
Media Management
Optimization
Original Article
Path planning
Representations
Software reviews
Surface geometry
Utilities
Tool path generation
Surface machining
Digital image processing
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Summary:Conventional tool path generation algorithms are usually dependent to the surface geometry and thus case-sensitive. A specific tool path planning method for regular parametric surfaces cannot directly handle a triangular mesh surface, and vice versa. Presented in this paper is a unified digital image representation of a surface, along with a general process of tool path generation and optimization directly based on such representation. Regarding different objectives and utilities, three typical digital images are introduced to represent a projectable surface. Each digital image induces a uniform discrete scalar/vector field indicating the surface geometric property, which can be further applied to the cutter contact curve generation, tool orientation determination, and the cutting simulation tasks. Preliminary examples give a sneak peek of the capability of the proposed method. It is observed that, instead of utilizing geometry-based algorithm, some global optimization task of the tool path is transformed into finding a proper convolutional kernel and its parameter for the image processing. Though more investigation is worth spending in the future, the proposed approach inaugurates a standard and effective way to facilitate the tool path generation and optimization task for surface machining.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-018-3118-z