Lamé Curve-based Spiral Tool Path Generation for Rough Milling

Automatic tool path generation for milling has been a subject of research for decades. The primary challenge in this area lies in simultaneously satisfying both geometric and technological constraints. Although various methods have been developed for spiral trajectory generation to meet these strict criteria, the potential of Lamé curves (also known as superellipses) has remained unexplored. This paper aims to address this gap by introducing a new algorithm that parametrises Lamé curves and transforms them into spirals using polar coordinate functions. The novel method generates a continuous tool path that smoothly fills the region between two closed boundaries without interrupting the cutting process. The algorithm was validated through case studies involving various pocket-like and island-like geometries. For the comparative analysis, two widely used strategies were selected as benchmarks: the traditional contour-parallel strategy and the advanced adaptive milling strategy. The simulation and cutting experiments conducted to analyse cutter engagement, tool load, and machining time demonstrated that the Lamé-based spiral paths achieved 1–44% improvements in machining time and 3–17% reductions in peak cutting force. These improvements are attributed to the smooth path curvature and the stable cutter engagement along the path, which enables effective tool load control. Although the strategy has certain geometric limitations, the results indicate that Lamé-based spirals offer a promising alternative for improving productivity and tool life in rough milling.

Authors

Institutions

Publication Details

Journal
Periodica Polytechnica Mechanical Engineering
Published
2025-08-11
DOI
https://doi.org/10.3311/ppme.41247
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lamé Curve-based Spiral Tool Path Generation for Rough Milling

Ádám Jacsó, György Póka, Viktor Tancsa
Periodica Polytechnica Mechanical Engineering
Advanced Numerical Analysis Techniques
article

Lamé Curve-based Spiral Tool Path Generation for Rough Milling

Ádám Jacsó, György Póka, Viktor Tancsa
article en

Abstract

Automatic tool path generation for milling has been a subject of research for decades. The primary challenge in this area lies in simultaneously satisfying both geometric and technological constraints. Although various methods have been developed for spiral trajectory generation to meet these strict criteria, the potential of Lamé curves (also known as superellipses) has remained unexplored. This paper aims to address this gap by introducing a new algorithm that parametrises Lamé curves and transforms them into spirals using polar coordinate functions. The novel method generates a continuous tool path that smoothly fills the region between two closed boundaries without interrupting the cutting process. The algorithm was validated through case studies involving various pocket-like and island-like geometries. For the comparative analysis, two widely used strategies were selected as benchmarks: the traditional contour-parallel strategy and the advanced adaptive milling strategy. The simulation and cutting experiments conducted to analyse cutter engagement, tool load, and machining time demonstrated that the Lamé-based spiral paths achieved 1–44% improvements in machining time and 3–17% reductions in peak cutting force. These improvements are attributed to the smooth path curvature and the stable cutter engagement along the path, which enables effective tool load control. Although the strategy has certain geometric limitations, the results indicate that Lamé-based spirals offer a promising alternative for improving productivity and tool life in rough milling.

Periodica Polytechnica Mechanical EngineeringVol. 69(3)
Budapest University of Technology and Economics (HU)
Budapesti Műszaki és Gazdaságtudományi Egyetem, Eurostars
Decent work and economic growth
Openalex Percentile: Top 78%
Advanced Numerical Analysis Techniques
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.