ارائه یک مدل نوآورانه مبتنی بر معیارهای فیزیکی برای پیش‌بینی دقیق پدیده برگشت شعله در مشعل‌های پیش‌آمیخته متان-هوا با استفاده از کالیبراسیون خودکار و اعتبارسنجی تجربی

نوع مقاله : مقاله علمی

نویسنده
علی لهراسبی نیچکوهی
استادیار، گروه مهندسی مکانیک، واحد نوشهر، دانشگاه آزاد اسلامی، نوشهر، ایران
10.22034/stme.2025.546176.1168
چکیده
برگشت شعله یکی از چالش‌های مهم در طراحی و بهره‌برداری از مشعل‌های پیش‌آمیخته است که می‌تواند منجر به خسارات جدی به تجهیزات شود. این پدیده زمانی رخ می‌دهد که سرعت شعله از سرعت جریان گاز پیشی گرفته و شعله به سمت نازل مشعل بازمی‌گردد. در این مطالعه، یک مدل ترکیبی نوآورانه مبتنی بر معیارهای فیزیکی برای پیش‌بینی دقیق پدیده برگشت شعله در مخلوط متان-هوا ارائه شده است. مدل حاضر با ترکیب معیار عدد دیواره (W = 1.15 ± 0.08) و عدد ریچاردسون (Ri = 0.25 ± 0.03) و استفاده از الگوریتم کالیبراسیون خودکار، دقت پیش‌بینی را به میزان قابل توجهی بهبود بخشیده است. نتایج نشان می‌دهد که مدل پیشنهادی با دقت 3/92% قادر به پیش‌بینی احتمال برگشت شعله در محدوده وسیعی از شرایط عملیاتی است. خطای RMSE برای پیش‌بینی سرعت شعله m/s23/0 و برای پیش‌بینی احتمال برگشت شعله 2/7% اندازه‌گیری شده است. این مدل با کاهش 45% خطای پیش‌بینی نسبت به مدل‌های مرسوم، راهکار مؤثری برای حل چالش برگشت شعله در صنایع احتراقی ارائه می‌دهد.
کلیدواژه‌ها
برگشت شعله
کالیبراسیون خودکار
معیارهای فیزیکی
مشعل پیش‌آمیخته
موضوعات

عنوان مقاله English

Presenting an Innovative Model Based on Physical Criteria for Accurate Prediction of Flame Flashback Phenomenon in Methane-Air Premixed Burners Using Automatic Calibration and Experimental Validation

نویسنده English

Ali Lohrasbi Nichkoohi
Assistant professor, Department of Mechanical Engineering, Noshahr Branch., Islamic Azad University, Noshahr, Iran
چکیده English

Flame flashback is a significant challenge in the design and operation of premixed burners, which can lead to serious damage to equipment. This phenomenon occurs when the flame speed exceeds the flow velocity of the gas, causing the flame to propagate back toward the burner nozzle. In this study, an innovative hybrid model based on physical criteria is presented for accurate prediction of flame flashback in methane-air mixtures. By combining the wall number criterion (W = 1.15 ± 0.08) and the Richardson number (Ri = 0.25 ± 0.03) along with an automatic calibration algorithm, the proposed model significantly improves prediction accuracy. The results demonstrate that the model can predict the probability of flame flashback with 92.3% accuracy across a wide range of operating conditions. The RMSE for flame speed prediction was measured at 0.23 m/s, and for flashback probability prediction, it was 7.2%. With a 45% reduction in prediction error compared to conventional models, this model offers an effective solution to address the challenge of flame flashback in combustion industries

کلیدواژه‌ها English

Flame Flashback
Hybrid Model
Automatic Calibration
Physical Criteria
Premixed Burner
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  • تاریخ دریافت 18 شهریور 1404
  • تاریخ بازنگری 26 آبان 1404
  • تاریخ پذیرش 12 آذر 1404
  • تاریخ اولین انتشار 12 آذر 1404
  • تاریخ انتشار 01 مرداد 1405