Research on Intelligent Manufacturing Production Lines for Automobile Wheel Hubs by Digital Twin Models

Due to the complex geometric shapes, high precision design dimensions, and specific material characteristics of automobile wheel hubs, there are stringent requirements for processing procedures, efficiency, and stability. To meet these demands, enterprises commonly adopt intelligent manufacturing production lines. Key challenges include establishing adaptive intelligent capabilities for the "processing-measurement-compensation-processing" cycle, constructing digital twin models of wheel hub production lines for real-time synchronization in virtual reality production, optimizing equipment and process interfaces, and improving fixture systems. Integrating discrete CNC machining, inspection, and assembly organically is crucial for smart manufacturing engineers. This article provides targeted discussions on core technologies and development directions in this field.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icdacai65086.2024.00155
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Intelligent Manufacturing Production Lines for Automobile Wheel Hubs by Digital Twin Models

Jia Jide, Cao Zhuming, Dong Huanbo, Yi Shouhua
1 citations
Digital Transformation in Industry
0.35
article

Research on Intelligent Manufacturing Production Lines for Automobile Wheel Hubs by Digital Twin Models

Jia Jide, Cao Zhuming, Dong Huanbo, Yi Shouhua
article en
1 citations

Abstract

Due to the complex geometric shapes, high precision design dimensions, and specific material characteristics of automobile wheel hubs, there are stringent requirements for processing procedures, efficiency, and stability. To meet these demands, enterprises commonly adopt intelligent manufacturing production lines. Key challenges include establishing adaptive intelligent capabilities for the "processing-measurement-compensation-processing" cycle, constructing digital twin models of wheel hub production lines for real-time synchronization in virtual reality production, optimizing equipment and process interfaces, and improving fixture systems. Integrating discrete CNC machining, inspection, and assembly organically is crucial for smart manufacturing engineers. This article provides targeted discussions on core technologies and development directions in this field.

Hunan University (CN), Xiamen University of Technology (CN), University of Science and Technology Beijing (CN)
Affordable and clean energy
Openalex Percentile: Top 31%
Digital Transformation in Industry
0.35
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.

Research on Intelligent Manufacturing Production Lines for Automobile Wheel Hubs by Digital Twin Models — Jia Jide, Cao Zhuming, et al. · (2024) | TGRS Research Map | TGRS