Initialization of cutting tools and milling paths for 5-axis CNC flank milling of freeform surfaces

Tool shape selection and path planning are critical for 5-axis CNC flank milling of freeform surfaces, typically addressed using optimization algorithms where initialization plays a pivotal role. Existing approaches rely on user-specified initialization of either tool shapes or motion paths, often resulting in suboptimal outcomes. This paper introduces a fully automated method that simultaneously initializes both tool shapes and motion paths, achieving high-precision machining with efficient surface coverage. Our approach explores a solution space of potential tool axes represented by line segments near the design surface. To efficiently manage the vast number of lines, we integrate space voxelization with a discrete distance field for effective line sampling. A graph-based algorithm generates feasible line sequences for motion paths, while path optimization refines a single tool shape across multiple paths simultaneously. The method identifies optimal tool shapes of various sizes, each paired with corresponding motion paths for multi-pass machining. Experiments on industrial benchmark models and freeform surfaces validate the effectiveness and practicality of the proposed approach.

Authors

Institutions

Publication Details

Journal
Graphical Models
Published
2025-04-24
DOI
https://doi.org/10.1016/j.gmod.2025.101264
Citations
1
Primary Topic
Engineering Technology and Methodologies
Type
article
Field-Weighted Citation Impact
1.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Initialization of cutting tools and milling paths for 5-axis CNC flank milling of freeform surfaces

X. Xu, Caiming Zhang, Pengbo Bo, S. S. Xue
1 citations
Graphical Models
Engineering Technology and Methodologies
1.24
article

Initialization of cutting tools and milling paths for 5-axis CNC flank milling of freeform surfaces

X. Xu, Caiming Zhang, Pengbo Bo, S. S. Xue
article en
1 citations

Abstract

Tool shape selection and path planning are critical for 5-axis CNC flank milling of freeform surfaces, typically addressed using optimization algorithms where initialization plays a pivotal role. Existing approaches rely on user-specified initialization of either tool shapes or motion paths, often resulting in suboptimal outcomes. This paper introduces a fully automated method that simultaneously initializes both tool shapes and motion paths, achieving high-precision machining with efficient surface coverage. Our approach explores a solution space of potential tool axes represented by line segments near the design surface. To efficiently manage the vast number of lines, we integrate space voxelization with a discrete distance field for effective line sampling. A graph-based algorithm generates feasible line sequences for motion paths, while path optimization refines a single tool shape across multiple paths simultaneously. The method identifies optimal tool shapes of various sizes, each paired with corresponding motion paths for multi-pass machining. Experiments on industrial benchmark models and freeform surfaces validate the effectiveness and practicality of the proposed approach.

Graphical ModelsVol. 139
Kunming University of Science and Technology (CN), Shandong University (CN), Harbin Institute of Technology (CN)
Openalex Percentile: Top 20%
Engineering Technology and Methodologies
1.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Initialization of cutting tools and milling paths for 5-axis CNC flank milling of freeform surfaces — X. Xu, Caiming Zhang, et al. · Graphical Models (2025) | TGRS Research Map | TGRS