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January 18, 2026High Temperature Materials and Processes1 citationsOpen Access

Numerical simulation and optimization of gas quenching cooling temperature field of sintered NdFeB vacuum sintering furnace

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SYSong YangLZLei ZhouXBXinyu Bi

Key Points

  • The aim is to optimize the cooling process during gas quenching for sintered NdFeB magnets to achieve desired microstructure and magnetic properties.
  • Developed a 3D numerical model to simulate gas quenching in a vacuum sintering furnace.
  • Validated model using thermocouple data with a deviation of less than 9% in cooling rate.
  • Analyzed flow and temperature fields to identify thermal non-uniformity.
  • Proposed a strategy to reposition workpiece fixtures to enhance uniformity.
  • Identified temperature differences exceeding 250 K between layers due to fixture configuration.
  • Optimized fixture positioning reduced maximum temperature difference by over 20 K.
  • Validated simulation framework provides insights for improving vacuum furnace design.

Abstract

Abstract Precise control over cooling rate and uniformity during gas quenching is essential for achieving the target microstructure and magnetic properties in sintered NdFeB magnets. This study develops a comprehensive 3D numerical model to simulate the transient gas quenching process within an industrial vacuum sintering furnace. Validation against experimental thermocouple data confirms the model’s high accuracy, showing a maximum deviation in cooling rate of less than 9 % over a 15-min cycle. Analysis of the flow and temperature fields identifies significant thermal non-uniformity, with temperature differences between layers exceeding 250 K, largely due to the fixture configuration and insufficient internal convection. Informed by these findings, we propose and simulate an optimized strategy involving the vertical repositioning of the workpiece fixtures. This modification successfully reduces the maximum temperature difference by more than 20 K. The study provides a validated simulation framework and practical insights for optimizing vacuum furnace design and process parameters to improve product quality and consistency.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/696c77d4eb60fb80d13960fehttps://doi.org/10.1515/htmp-2025-0106
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