The application and optimization of rolling processing technology in improving the efficiency of deep hole processing

With the advancement of technology, the field of deep hole processing faces dual challenges of increased precision and increased production. Although traditional honing and grinding processes dominate, they are inefficient and do not adapt to large-scale production. Rolling processing technology has become an alternative solution with its advantages of high precision and high efficiency. This study aims to apply rolling processing to deep hole processing to improve efficiency. An elastic-plastic model was constructed to clarify the relationship between stress, strain, and displacement, and it was transformed into a simulated flow plastic stress equation. A finite element model was established, and its accuracy was verified through experiments, revealing the effects of various parameters on stress and strain. In the experimental stage, the amount of interference, feed speed, and rotation speed were identified as the main influencing factors, and a multi-objective optimization model was established accordingly. Comparative analysis showed that the grinding accuracy was the highest (0.13 μm), while the multi-objective optimization combination and variance combination reached 0.22 and 0.31 μm, respectively. In terms of processing efficiency, rolling is ten times that of grinding. Rolling processing can replace some grinding processes under specific conditions, significantly improving efficiency, which is of great significance for the development of deep hole processing technology.

Authors

Publication Details

Journal
Advances in Mechanical Engineering
Published
2024-12-01
DOI
https://doi.org/10.1177/16878132241296904
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

The application and optimization of rolling processing technology in improving the efficiency of deep hole processing

Yan Cao, Yuan Tianlong, Tian Chunlei, Chen Tian
Advances in Mechanical Engineering
Advanced machining processes and optimization
article

The application and optimization of rolling processing technology in improving the efficiency of deep hole processing

Yan Cao, Yuan Tianlong, Tian Chunlei, Chen Tian
article en

Abstract

With the advancement of technology, the field of deep hole processing faces dual challenges of increased precision and increased production. Although traditional honing and grinding processes dominate, they are inefficient and do not adapt to large-scale production. Rolling processing technology has become an alternative solution with its advantages of high precision and high efficiency. This study aims to apply rolling processing to deep hole processing to improve efficiency. An elastic-plastic model was constructed to clarify the relationship between stress, strain, and displacement, and it was transformed into a simulated flow plastic stress equation. A finite element model was established, and its accuracy was verified through experiments, revealing the effects of various parameters on stress and strain. In the experimental stage, the amount of interference, feed speed, and rotation speed were identified as the main influencing factors, and a multi-objective optimization model was established accordingly. Comparative analysis showed that the grinding accuracy was the highest (0.13 μm), while the multi-objective optimization combination and variance combination reached 0.22 and 0.31 μm, respectively. In terms of processing efficiency, rolling is ten times that of grinding. Rolling processing can replace some grinding processes under specific conditions, significantly improving efficiency, which is of great significance for the development of deep hole processing technology.

Advances in Mechanical EngineeringVol. 16(12)
Affordable and clean energy
Openalex Percentile: Top 77%
Advanced machining processes and optimization
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.