High Precision and Rapid Springback Prediction for Creep Forming of Ribbed Panel Based on SPSO-BP Neural Network

Institutions

Publication Details

Journal
Journal of Mechanical Engineering
Published
2025-01-01
DOI
https://doi.org/10.3901/jme.2025.20.081
Primary Topic
Metal Forming Simulation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High Precision and Rapid Springback Prediction for Creep Forming of Ribbed Panel Based on SPSO-BP Neural Network

Journal of Mechanical Engineering
Metal Forming Simulation Techniques
article

High Precision and Rapid Springback Prediction for Creep Forming of Ribbed Panel Based on SPSO-BP Neural Network

article en

Abstract

No abstract available for this paper.
Journal of Mechanical EngineeringVol. 61(20)
Central South University (CN)
Openalex Percentile: Top 58%
Metal Forming Simulation Techniques
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.

High Precision and Rapid Springback Prediction for Creep Forming of Ribbed Panel Based on SPSO-BP Neural Network · Journal of Mechanical Engineering (2025) | TGRS Research Map | TGRS