مطالعه از هم گسیختگی میکرو قطرات در فرآیند تولید پوشش های سطحی با استفاده از مدل قابلیت اطمینان در داده های سانسور شده

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مکانیک - دانشکده مهندسی - دانشگاه پیام نور

2 عضو هیات علمی گروه آمار، دانشگاه آزاد اسلامی لاهیجان

چکیده

میکرو پوشش‌ها کاربرد وسیعی در تولیدات صنعتی نوین دارند. از هم پاشیدگی میکرو قطرات در حین برخورد با سطح، باعث کاهش کیفیت پوشش ایجاد شده بر روی سطح می گردد. فشار دستگاه پاشش یکی از مهمترین عوامل از هم گسیختگی میکرو قطرات است. در این تحقیق تاثیر فشار بر روی قطر از هم گسیختگی میکرو ذرات توسط مدل قابلیت اطمینان بر اساس نمونه سانسور شده مطالعه شده است. برای محاسبه مدل قابلیت اطمینان از توزیع رایلی نمایی شده معکوس به عنوان توزیع برازنده داده‌ها، استفاده گردیده و برآوردگر درستنمایی ماکزیمم پارامترهای مدل، محاسبه شده است. همچنین بر اساس الگوریتم متروپلیس-هاستینگس پارامترهای مجهول برآورد شده‌اند. نتایج نشان می دهد که مدل قابلیت اطمینان معرفی شده، عملکرد خوبی در برآورد احتمال از هم گسیختگی میکرو قطرات در فشارهای مختلف پاشش دارد. بر اساس مدل پیشنهادی، مشاهده گردیده است که با افزایش فشار نازل، قطر از هم گسیختگی میکرو قطرات کاهش می یابد.

کلیدواژه‌ها


عنوان مقاله [English]

Study of Micro-Droplet Splashing in Coating Processes Using the Reliability Model Based on Censored Data

نویسندگان [English]

  • Saeid Asadi 1
  • Hanieh Panahi 2
1 Associate Professor, Department of Mechanical Engineering, Payame Noor University (PNU), Tehran, Iran. 
2 Assistant Professor, Department of Mathematics and Statistics, Lahijan Branch, Islamic Azad University, Lahijan, Iran. 
چکیده [English]

Micro-coatings have wide applications in modern industrial production. The splashing of micro droplets during impact on the surface, reduce the quality of the surface coating. Spray pressure is one of the most important factors in micro-droplet splashing. In this research, we study the effect of pressure on the diameter of the micro-droplet splashing using the reliability model based on the censored data. The inverted exponentiated Rayleigh as an adequate distribution is used to calculate the reliability model and the maximum likelihood estimator of the parameters of model are obtained. Also based on the Metropolis-Hastings algorithm, the unknown parameters are estimated. The results indicate that the proposed reliability model performs well in estimating the probability of micro-droplet splashing at different spraying pressures. Based on the proposed model, as the nozzle pressure increases, the micro-droplet splashing diameter decreases.   
  

کلیدواژه‌ها [English]

  • Censored Data
  • Maximum Likelihood Estimation
  • Metropolis-Hastings Algorithm
  • MicroDroplet Splashing
  • Reliability Model. 
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