Planning and virtual simulation machining of multi-axis rough machining strategy for micro-integral impeller

It is discovered that the micro integral impeller’s NC programming is quite complex and that surface deformation and tool collision interference are easily caused by its torsional small channel, semi-closed construction, and complex free thin-wall surface. Furthermore, roughing has the longest processing time and the greatest quantity of material removal, making it easier to influence the next step in the processing process. Two machining techniques are suggested to address the NC roughing issue with this item. One tactic is to complete the impeller’s roughing by utilizing the benefits of a five-axis machine tool and the hierarchical parametric technique. The other is positioning five-axis roughing, which is roughing on a fixed five-axis region and is handled based on the flow path’s sub-area under the planned vector and area. The findings of the virtual simulation demonstrate that roughing in the five-axis fixed region may significantly increase machining efficiency and reduce machining time under the same machining circumstances. Lastly, tests are conducted to confirm the correctness of the virtual simulation model.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2024-11-29
DOI
https://doi.org/10.1177/09544062241299229
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

Planning and virtual simulation machining of multi-axis rough machining strategy for micro-integral impeller

Yan Cao, Fan Kou, HaiYue Zhao, Hui Yao et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Advanced Numerical Analysis Techniques
article

Planning and virtual simulation machining of multi-axis rough machining strategy for micro-integral impeller

Yan Cao, Fan Kou, HaiYue Zhao, Hui Yao, Jiang Du, Zhijie Wang
article en

Abstract

It is discovered that the micro integral impeller’s NC programming is quite complex and that surface deformation and tool collision interference are easily caused by its torsional small channel, semi-closed construction, and complex free thin-wall surface. Furthermore, roughing has the longest processing time and the greatest quantity of material removal, making it easier to influence the next step in the processing process. Two machining techniques are suggested to address the NC roughing issue with this item. One tactic is to complete the impeller’s roughing by utilizing the benefits of a five-axis machine tool and the hierarchical parametric technique. The other is positioning five-axis roughing, which is roughing on a fixed five-axis region and is handled based on the flow path’s sub-area under the planned vector and area. The findings of the virtual simulation demonstrate that roughing in the five-axis fixed region may significantly increase machining efficiency and reduce machining time under the same machining circumstances. Lastly, tests are conducted to confirm the correctness of the virtual simulation model.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 239(6)
Xi'an Technological University (CN)
National Natural Science Foundation of China - State Grid Corporation Joint Fund for Smart Grid
Sustainable cities and communities
Openalex Percentile: Top 76%
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.