A Novel Optimizing Method for the Structural Parameters of High-Temperature Thin-Film Heat Flux Sensors Based on Thermo- Mechanical-Electrical Coupled Model
High-sensitivity thin-film heat flux sensors with microsecond-level response capabilities are urgently required for advanced thermal management in aerospace and nuclear power systems, yet their operational reliability under extreme high-temperature conditions (>1700K) remains a persistent technical bottleneck. This study presents an innovative multi-physics optimization framework combining thermo-mechanical-electrical coupling analysis with three-dimensional micro/nanoscale finite element simulations. Through orthogonal experimental design and interaction regression modeling, we systematically investigated the coupled effects of four critical structural parameters: substrate, thermal resistance layer, thermopile layer, and protective layer thicknesses. Key findings reveal that increasing the substrate thickness from 0.5 mm to 2.5 mm resulted in a 17.6% reduction in peak temperature (from 1700 K to 1400 K), but led to a 39% decrease in output potential. In contrast, thickening the thermal resistance layer from 1μm to 3μm improved output potential by 56% (to 38μV) at the expense of doubling the response time (from 4μs to 8μs). Mechanically, thicker substrates and protective layers dispersed stress (40% stress reduction at 2.5mm substrate thickness), while excessive thermopile layer thickness (>0.4μm) induced localized stress concentration. The optimal configuration (substrate: 2.5mm, thermal resistance: 1.5μm, thermopile layer: 0.4μm, protective layer: 1μm) achieved a 273% performance improvement over the traditional design, balancing rapid response, high output potential, and low stress. This work establishes a dual-objective optimization paradigm resolving the inherent conflict between sensor sensitivity and structural reliability, particularly under transient thermal loads exceeding 1700K. The proposed methodology provides critical insights for next-generation sensor design in extreme thermal environments.
Authors
- Xuefeng Qiu (ORCID: https://orcid.org/0000-0002-3554-5145)
- Yugang Yin
- Haiming Huang (ORCID: https://orcid.org/0000-0002-2825-4614)
- Yonghai Wang (ORCID: https://orcid.org/0000-0003-2043-6066)
- Fan Li (ORCID: https://orcid.org/0000-0002-1517-616X)
- Jinglai Zheng (ORCID: https://orcid.org/0009-0005-3156-5586)
Institutions
- Beijing Jiaotong University (CN)
- China Academy of Launch Vehicle Technology (CN)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-05-30
- DOI
- https://doi.org/10.1109/jsen.2025.3573215
- Citations
- 2
- Primary Topic
- Advanced Sensor Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 1.35