Study on fold formation mechanism and process optimization in multi-directional die forged valve bodies

Fold defects represent a prevalent and detrimental issue in the multi-directional die forging of complex valve bodies, often resulting in product rejection and increased manufacturing costs. In this study, a three-dimensional thermo-mechanical coupled finite element (FE) model was developed using Forge® software to simulate the multi-directional die forging process. The "marking grid" and "sensors" functionalities were employed to visualize and track the formation and evolution of fold defects throughout the entire forming process, thereby elucidating the underlying fold formation mechanism. The effects of three key process parameters-initial billet temperature, main punch speed, and friction coefficient between the billet and die-on fold depth and damage value were systematically analyzed. Orthogonal experiments combined with analysis of variance (ANOVA) were conducted to identify the optimal parameter combination. Results indicated that the friction coefficient had the most significant influence on fold formation and damage accumulation, followed by billet temperature, while punch speed had the least impact. The optimal parameters were determined to be a friction coefficient of 0.1, an initial billet temperature of 1200 °C, and a main punch speed of 30 mm/s. Production trials and fluorescent magnetic particle inspection confirmed the absence of fold and crack defects, and the final forged product closely matched the simulation predictions, validating the effectiveness of the optimized process.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-12-26
DOI
https://doi.org/10.1371/journal.pone.0337844
Citations
1
Primary Topic
Metallurgy and Material Forming
Type
article
Field-Weighted Citation Impact
0.86

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on fold formation mechanism and process optimization in multi-directional die forged valve bodies

Yongwan Zhang, Xavier Velay, Leiyu Zhang, Q.Q. Zhang et al.
1 citations
PLoS ONE
Metallurgy and Material Forming
0.86
article

Study on fold formation mechanism and process optimization in multi-directional die forged valve bodies

Yongwan Zhang, Xavier Velay, Leiyu Zhang, Q.Q. Zhang, Jingyu Wang, Longjiang Niu, Donghang Liu, Weiping Luo, Babak Ziaie
article en
1 citations

Abstract

Fold defects represent a prevalent and detrimental issue in the multi-directional die forging of complex valve bodies, often resulting in product rejection and increased manufacturing costs. In this study, a three-dimensional thermo-mechanical coupled finite element (FE) model was developed using Forge® software to simulate the multi-directional die forging process. The "marking grid" and "sensors" functionalities were employed to visualize and track the formation and evolution of fold defects throughout the entire forming process, thereby elucidating the underlying fold formation mechanism. The effects of three key process parameters-initial billet temperature, main punch speed, and friction coefficient between the billet and die-on fold depth and damage value were systematically analyzed. Orthogonal experiments combined with analysis of variance (ANOVA) were conducted to identify the optimal parameter combination. Results indicated that the friction coefficient had the most significant influence on fold formation and damage accumulation, followed by billet temperature, while punch speed had the least impact. The optimal parameters were determined to be a friction coefficient of 0.1, an initial billet temperature of 1200 °C, and a main punch speed of 30 mm/s. Production trials and fluorescent magnetic particle inspection confirmed the absence of fold and crack defects, and the final forged product closely matched the simulation predictions, validating the effectiveness of the optimized process.

PLoS ONEVol. 20(12)
ZTT (China) (CN), Shanghai Dianji University (CN), Institute of Technology Sligo (IE)
Government of Jiangsu Province
Openalex Percentile: Top 21%
Metallurgy and Material Forming
0.86
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.