Efficient Computation of Cutter-workpiece Engagement and Cutting Force Prediction for General Cutter in Five-axis Machining

Institutions

Publication Details

Journal
Journal of Mechanical Engineering
Published
2025-01-01
DOI
https://doi.org/10.3901/jme.2025.09.132
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient Computation of Cutter-workpiece Engagement and Cutting Force Prediction for General Cutter in Five-axis Machining

Journal of Mechanical Engineering
Advanced machining processes and optimization
article

Efficient Computation of Cutter-workpiece Engagement and Cutting Force Prediction for General Cutter in Five-axis Machining

article en

Abstract

No abstract available for this paper.
Journal of Mechanical EngineeringVol. 61(9)
Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 58%
Advanced machining processes and optimization
DOIOpen Access PDFOpenAlex
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.

Efficient Computation of Cutter-workpiece Engagement and Cutting Force Prediction for General Cutter in Five-axis Machining · Journal of Mechanical Engineering (2025) | TGRS Research Map | TGRS