تحقیقات موتور

تحقیقات موتور

ارزیابی شاخص قابلیت اطمینان میل‌لنگ موتور دیزل با آزمون‌های شتاب‌یافته

نوع مقاله : مقاله پژوهشی

نویسندگان
1 گروه مهندسی مکانیک بیوسیستم، دانشگاه تربیت مدرس، تهران، ایران
2 گروه مهندسی مکانیک بیوسیستم، دانشگاه فردوسی مشهد، مشهد، ایران
چکیده
این مقاله دوام و قابلیت اطمینان میل‏لنگ موتور دیزل از طریق آزمون‌های شتاب‌یافتة عمر را بررسی می‌‏کند. نمونه‌ها و شرایط آزمون به گونه‌ای طراحی شدند که بارهای مکانیکی، دما و شرایط محیطی شبیه‌سازی واقعی شرایط عملیاتی باشد. داده‌های بارگذاری و پاسخ قطعات به طور دقیق ثبت شد تا تحلیل‌های آماری معتبر و تکرارپذیر امکان‌پذیر شود. در بخش تحلیل آماری، توزیع‌های احتمالاتی بار و استحکام ارزیابی شدند و شاخص‌های قابلیت اطمینان و احتمال شکست محاسبه شدند. عدم قطعیت‌های مرتبط با خواص مواد و بارهای عملیاتی نیز در نظر گرفته شد تا پیش‌بینی دقیق‌تر طول عمر قطعات حاصل شود. ضریب شتاب‌یافتگی با بهره‌گیری از الگوی آرهنیوس و روش‌های مقیاس‌بندی وابسته به بار محاسبه شد، به‌طوری که داده‌های آزمون‌های شتاب‌یافته بتوانند طول عمر واقعی را پیش‌بینی کنند. نتایج نشان داد که الگوهای شکست قطعات در آزمون‌های شتاب‌یافته با رفتار واقعی سامانه همخوانی دارد و شاخص‌های قابلیت اطمینان و ضریب ایمنی در محدوده مطلوب قرار می‌گیرند. این روش، امکان شناسایی نقاط ضعف طراحی، انتخاب مواد بهینه و بهبود دوام سامانه‌های مولد قدرت را فراهم می‌کند. یافته‌ها تأکید می‌کنند که تلفیق آزمون‌های شتاب‌یافته با تحلیل آماری و محاسبه دقیق ضریب شتاب‌یافتگی، ابزار مؤثری برای کاهش هزینه‌های نگهداری و افزایش کارایی طراحی محسوب می‌شود.
کلیدواژه‌ها

عنوان مقاله English

Evaluation of reliability of diesel engine crankshaft by accelerated test method

نویسندگان English

Saeed Abdolmaleki 1
Abbas Rohani 2
Mohammad Hossein Agkhani 2
Marziye Hoseinpoor 2
Hosein Poursabbagh 2
Mohammad Kazemi 1
1 Department of Biosystems Mechanical Engineering, Tarbiat Modares University, Tehran, Iran
2 Department of Biosystems Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
چکیده English

This study investigates the durability and reliability of diesel engine crankshaft through accelerated life testing. Test specimens and conditions were carefully designed to simulate real operational loads, temperatures, and environmental factors. High-precision measurements of loading and component responses enabled statistically robust and reproducible analyses. In the statistical analysis, the probability distributions of applied loads and component strength were evaluated, and reliability indices and failure probabilities were calculated. Uncertainties associated with material properties and operational loads were also incorporated to provide more accurate lifetime predictions. The acceleration factor was determined using Arrhenius-based models and load-dependent scaling methods, allowing accelerated test data to be reliably extrapolated to real-world service conditions. The results demonstrated that failure patterns observed under accelerated testing closely matched the actual behavior of the systems, and calculated reliability indices and safety factors remained within acceptable ranges. This approach facilitates the identification of design weaknesses, optimal material selection, and overall enhancement of power system durability. Findings emphasize that integrating accelerated life testing with rigorous statistical analysis and precise acceleration factor calculations serves as an effective tool for reducing maintenance costs and improving design performance.

کلیدواژه‌ها English

Accelerated Factor
Failure Modeling
Log-Logistic Distribution
Right-Censored Data Analysis
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  • تاریخ دریافت 28 شهریور 1404
  • تاریخ بازنگری 24 مهر 1404
  • تاریخ پذیرش 17 آبان 1404