# Thermal Management in Multi-Stage Hot Forging: Computational Advances in Contact and Spray-Cooling Modelling

**Authors:** Gonzalo Veiga-Piñeiro, Elena Martin-Ortega, Salvador Pérez-Betanzos

PMC · DOI: 10.3390/ma18143318 · Materials · 2025-07-15

## TL;DR

This paper introduces a new thermal analysis framework for multi-stage hot forging that helps manage die distortions and improve process efficiency.

## Contribution

The study introduces two novel heat transfer models for contact and spray-cooling, integrated into a full-cycle thermal simulation framework.

## Key findings

- The simulation results showed an average temperature deviation of 5.8%, confirming the model's accuracy.
- The framework enables accurate thermal field estimation in dies, aiding in process optimization and die life extension.

## Abstract

Innovative approaches in hot forging, such as the use of floating dies, which aim to minimise burr formation by controlling material flow, require precise management of die geometry distortions. These distortions, primarily caused by thermal gradients, must be tightly controlled to prevent malfunctions during production. This study introduces a comprehensive thermal analysis framework that captures the complete forging cycle—from billet transfer and die closure to forging, spray-cooling, and lubrication. Two advanced heat transfer models were developed: a pressure- and lubrication-dependent contact heat transfer model and a spray-cooling model that simulates fluid dispersion over die surfaces. These models were implemented within the finite element software FORGE-NxT to evaluate the thermal behaviour of dies under realistic operating conditions. These two new models, contact and spray-cooling, implemented within a full-cycle thermal simulation and validated with industrial thermal imaging data, represent a novel contribution. The simulation results showed an average temperature deviation of just 5.8%, demonstrating the predictive reliability of this approach. This validated framework enables accurate estimation of thermal fields in the dies, and offers a practical tool for optimising process parameters, reducing burr formation, and extending die life. Moreover, its structure and methodology can be adapted to various hot forging applications where thermal control is critical to ensuring part quality and process efficiency.

## Full-text entities

- **Diseases:** stroke (MESH:D020521), injury to (MESH:D014947), HTC (MESH:D018883)
- **Chemicals:** boron (MESH:D001895), BN (MESH:C017282), Water (MESH:D014867), steel (MESH:D013232), titanium (MESH:D014025), NxT (-), Graphite (MESH:D006108), aluminium (MESH:D000535)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12298623/full.md

## Figures

17 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12298623/full.md

## References

51 references — full list in the complete paper: https://tomesphere.com/paper/PMC12298623/full.md

---
Source: https://tomesphere.com/paper/PMC12298623