高圧水脱垢のための熱伝導係数の予測モデル
Peng Gao1, Yue Zhuo2, Guodong Sun3
1Peng Gao, School of Mechanical and Intelligent Manufacturing, Jiujiang University, Jiujiang, 332005, China. gaopeng20060707@163.com.
Scientific reports
|September 1, 2025
まとめ
この研究では,高圧水脱垢における熱伝達係数 (HTC) を正確に予測する新しい数学的モデルを開発し,温度フィールド解析を改善し,産業データで検証しました.
科学分野:
- 材料科学と工学
- 熱伝達と流体力学
- 計算モデリング
背景:
- 熱伝導係数 (HTC) の既存の式は,高圧水脱垢の不一致を示している.
- 不正確なHTC計算は,温度フィールド解析のエラーにつながります.
研究 の 目的:
- 高圧水脱垢でHTCに影響を与える操作変数を体系的に調査する.
- これらのプロセスにおけるHTC予測のための実用的な数学的モデルを開発する.
- 産業規模での実験を通して モデルの正確性を検証する
主な方法:
- 水流と表面温度のパラメトリック分析
- 計算式流体力学 (CFD) のシミュレーションでHTCを評価する.
- 非線形回帰分析により,予測可能な数学的モデルを開発する.
- 熱プロファイルのシミュレーションのための有限要素分析 (FEA).
- リアルタイムで温度を測定する赤外線温度計
主要な成果:
- 高圧水脱垢におけるHTCのための新しい回帰ベースの数学的モデルが開発されました.
- CFDとFEAのシミュレーションは,定量的HTC評価と熱プロフィールを提供しました.
- 工業的な検証では,最大気温差は28°C,最小気温差は1°Cであった.
- 開発されたモデルは実験データと比較して高い予測精度を示した.
結論:
- 新しい数学的モデルは 高圧水でHTCを正確に予測します
- このモデルは,産業用脱垢処理における熱プロファイルの分析の精度を高めます.
- この研究は,高圧水の脱垢プロセスを最適化するための信頼できるツールを提供します.
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