کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5427201 1508619 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of the radiative properties of surfaces covered with particulate deposits
ترجمه فارسی عنوان
پیش بینی خواص شعاعی سطوح پوشش داده شده با رسوبات ذرات
کلمات کلیدی
ثابت نوری، خواص شعاعی ظاهری، سپرده های ناهمگن ذرات، ذرات غبار،
موضوعات مرتبط
مهندسی و علوم پایه شیمی طیف سنجی
چکیده انگلیسی


- A method for predicting the apparent radiative properties of surfaces with particulate deposit is proposed.
- The effects of six main factors of the particulate deposits are respectively discussed.
- Comparison between the numerical results and experimental data is conducted to validate the model.

The heterogeneous particulate deposit has a significant impact on the radiative properties of surfaces. It is necessary to establish a physical model to describe the apparent spectral absorptance of surfaces covered with heterogeneous particulate deposits. In this paper, a general method combining the effective medium theory with the RTM-DRE (ray-tracing method based on the decomposition of radiation energy) method is presented to predict the apparent spectral absorptance of such surfaces. The effective optical constants of the inhomogeneous particles were determined by means of the effective medium theory, whereas the radiative properties of the surfaces were calculated by modeling the radiative transfer process based on the RTM-DRE method. Additionally, the experimental characterizations of the dust deposits were investigated to reveal the dust effect on the radiative properties of surfaces, and the experimental data and theoretical results were compared to validate the presented theoretical model. The mean relative errors lie within 11.0% of the solar band and 7.0% of the infrared waveband, which indicates the reliability of the theoretical model. Furthermore, the effect of the geometric structure parameters and material intrinsic properties on the radiative properties of the surfaces with heterogeneous particulate deposit was investigated based on the prediction model. Six main factors including the deposit thickness, particle size, bulk fraction, chemical compositions, H2O content, and substrate reflectance were considered.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer - Volume 196, July 2017, Pages 112-122
نویسندگان
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