JOURNAL ARTICLE

Estimation of the micro splat splashing data using the inverted exponentiated Rayleigh stress-strength reliability model

Hanieh PanahiSaeid Asadi

Year: 2019 Journal:   Journal of Statistics and Management Systems Vol: 22 (8)Pages: 1401-1416   Publisher: Taylor & Francis

Abstract

The metallic and nonmetallic coatings are applied to a wide variety of industries. The splashing of micro particles upon a surface is one of the most causes of coating failure and damage. The atomizing pressure of spray nozzle is an important factor on the splashing. The splashing may be occurred in different pressures such as 1.5 and 1.0 MPa. In this paper using the reliability method, we want to determine the pressure which decreases the splashing diameters. We consider the problem of estimating stress-strength reliability parameter where X, micro splat splashing in 1.0 MPa, and Y, micro splat splashing in 1.5 MPa, are independent inverted exponentiated Rayleigh random variables. The maximum likelihood and Bayesian estimators of stress-strength reliability parameter are obtained. Exact and two bootstrap confidence intervals are also proposed. The results show that the micro splat splashing diameter decreases with increasing pressure. An important implication of the present study is that reliability model may be used to properly assess of splashing causes such as effect of pressure on splashing.

Keywords:
Materials science Reliability (semiconductor) Stress (linguistics) Estimator Rayleigh scattering Mechanics Composite material Mathematics Statistics Thermodynamics Physics Optics

Metrics

5
Cited By
0.80
FWCI (Field Weighted Citation Impact)
27
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Statistical Distribution Estimation and Applications
Physical Sciences →  Mathematics →  Statistics and Probability
Reliability and Maintenance Optimization
Physical Sciences →  Engineering →  Safety, Risk, Reliability and Quality
Probabilistic and Robust Engineering Design
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty

Related Documents

JOURNAL ARTICLE

Estimation of reliability of multicomponent stress-strength inverted exponentiated Rayleigh model

Vikas Kumar SharmaSanku Dey

Journal:   Journal of Industrial and Production Engineering Year: 2019 Vol: 36 (3)Pages: 181-192
JOURNAL ARTICLE

LARGE Estimation of the stress-strength reliability of progressively censored inverted exponentiated Rayleigh distributions

Akram Kohansal

Journal:   Journal of Applied Mathematics Statistics and Informatics Year: 2017 Vol: 13 (1)Pages: 49-76
JOURNAL ARTICLE

Estimation of Stress–Strength Reliability from Exponentiated Inverse Rayleigh Distribution

G. Srinivasa RaoSauda Hatibu MbwamboPeter Josephat Kirigiti

Journal:   International Journal of Reliability Quality and Safety Engineering Year: 2018 Vol: 26 (01)Pages: 1950005-1950005
JOURNAL ARTICLE

Estimation of multicomponent stress-strength reliability from exponentiated inverse Rayleigh distribution

G. Srinivasa RaoSauda Hatibu MbwamboAbbas Pak

Journal:   Journal of Statistics and Management Systems Year: 2020 Vol: 24 (3)Pages: 499-519
© 2026 ScienceGate Book Chapters — All rights reserved.