ارزیابی ویسکوزیته و سطوح آلاینده در روان‌کننده دیزل از طریق طیف‌سنجی دی‌الکتریک با استفاده از روش‌های محاسباتی نرم

ماشین های کشاورزی

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 04 شهریور 1404   

نوع مقاله: مقاله پژوهشی انگلیسی

شناسه دیجیتال (DOI): 10.22067/jam.2025.91756.1335

نویسندگان

محمدرضا پوررمضان؛ عباس روحانی^* ؛ محمدحسین عباسپورفرد

گروه مهندسی بیوسیستم، دانشکده کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران

چکیده

نظارت بر وضعیت ماشین‌آلات یکی از جنبه‌های حیاتی واحدهای تولیدی و خدماتی برای حفظ کارایی عملیاتی است. از این رو، تعویض به‌موقع روغن موتور به‌طور قابل‌توجهی به افزایش عملکرد و افزایش طول عمر موتور کمک می‌کند. با این حال، تعیین زمان دقیق تعویض همچنان یک چالش است. آنالیز طیفی روغن، در عین این‌که موثر است، هم گران و هم زمان‌بر است. هدف این مطالعه معرفی یک روش جایگزین برای تحلیل طیفی روانکار موتور است. این تحقیق شامل تجزیه و تحلیل نتایج تجزیه و تحلیل طیفی و ضرایب دی‌الکتریک 17 نمونه روغن موتور از طریق روش‌های آماری است. هدف اصلی توسعه مدل‌هایی برای پیش‌بینی آلاینده‌های موجود در روغن بر اساس خواص دی‌الکتریک است که جایگزینی برای تجزیه و تحلیل طیفی ارائه می‌دهد. برای رسیدن به این هدف چند هدف میانی دنبال می‌شود. شبکه‌ عصبی مصنوعی پرسپترون چندلایه (MLP-ANN) و روش‌ ماشین بردار پشتیبان (SVM) برای مدل‌سازی استفاده می‌شوند. عملکرد دو مدل با استفاده از شاخص‌هایی مانند ریشه میانگین مربعات خطا (RMSE)، کارایی مدل و ضریب تبیین (R²) ارزیابی می‌شود. نتایج نشان می‌دهد که مدل SVM به‌طور مداوم کارایی بیش از 0.95 را برای همه شاخص‌های پیش‌بینی‌شده (Fe، Pb، Cu، Al، Mo، Na، Si وVis@100) نشان می‌دهد. در نتیجه، طیف‌سنجی دی‌الکتریک روان‌کننده به‌عنوان یک جایگزین مناسب برای آنالیز مرسوم طیفی روغن متصور می‌باشد.

کلیدواژه‌ها

ثابت دی‌الکتریک؛ روش‌های محاسبات نرم؛ مترولوژی؛ نظارت بر وضعیت روغن موتور

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