Automated Determination of Indexing Orientations and Tool Path Generation for 5-Axis Machining of Complex Shapes

In response to the increasing demand for high-mix, low-volume production and the simultaneous shortage of experienced workers, the use of 5-axis controlled machine tools has attracted growing attention. Although complex solid shapes that include free-form surfaces are typically machined using simultaneous 5-axis machining, generation of corresponding numerical control programs continues to depend heavily on the expertise and judgment of experienced operators, rendering parts of the process highly reliant on individual proficiency. In contrast, 5-axis indexing machining involves fewer degrees of freedom compared to simultaneous 5-axis machining. Therefore, by fixing the tool orientation, it achieves easier control and higher machining stability, rendering it suitable for automation. This study developed an automated system that determines both the indexing orientations and tool paths for 5-axis indexing machining, using standard triangulated language format computer-aided design models of complex shapes as input. The system includes a shape removal simulation based on the dexel model, which automatically identifies air-cut regions for each indexing orientation and subsequently generates efficient, waste-free tool paths. Additionally, by leveraging parallel processing on a graphics processing unit, the system accelerates critical operations including tool orientation determination, tool path generation, and air-cut detection, thereby achieving practical computation times for automated process planning.

Authors

Institutions

Publication Details

Journal
International Journal of Automation Technology
Published
2026-01-04
DOI
https://doi.org/10.20965/ijat.2026.p0078
Citations
1
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
41.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated Determination of Indexing Orientations and Tool Path Generation for 5-Axis Machining of Complex Shapes

Hidenori Nakatsuji, Isamu NISHIDA, Kentaro Matsukawa
1 citations
International Journal of Automation Technology
Advanced Numerical Analysis Techniques
41.77
article

Automated Determination of Indexing Orientations and Tool Path Generation for 5-Axis Machining of Complex Shapes

Hidenori Nakatsuji, Isamu NISHIDA, Kentaro Matsukawa
article en
1 citations

Abstract

In response to the increasing demand for high-mix, low-volume production and the simultaneous shortage of experienced workers, the use of 5-axis controlled machine tools has attracted growing attention. Although complex solid shapes that include free-form surfaces are typically machined using simultaneous 5-axis machining, generation of corresponding numerical control programs continues to depend heavily on the expertise and judgment of experienced operators, rendering parts of the process highly reliant on individual proficiency. In contrast, 5-axis indexing machining involves fewer degrees of freedom compared to simultaneous 5-axis machining. Therefore, by fixing the tool orientation, it achieves easier control and higher machining stability, rendering it suitable for automation. This study developed an automated system that determines both the indexing orientations and tool paths for 5-axis indexing machining, using standard triangulated language format computer-aided design models of complex shapes as input. The system includes a shape removal simulation based on the dexel model, which automatically identifies air-cut regions for each indexing orientation and subsequently generates efficient, waste-free tool paths. Additionally, by leveraging parallel processing on a graphics processing unit, the system accelerates critical operations including tool orientation determination, tool path generation, and air-cut detection, thereby achieving practical computation times for automated process planning.

International Journal of Automation TechnologyVol. 20(1)
Kobe University (JP)
Openalex Percentile: Top 2%
Advanced Numerical Analysis Techniques
41.77
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.

Automated Determination of Indexing Orientations and Tool Path Generation for 5-Axis Machining of Complex Shapes — Hidenori Nakatsuji, Isamu NISHIDA, et al. · International Journal of Automation Technology (2026) | TGRS Research Map | TGRS