Concept and models for evaluation of black and white smoke components in diesel engine exhaust

Тип публикации: статья из журнала

Год издания: 2017

Идентификатор DOI: 10.20858/tp.2017.12.3.8

Ключевые слова: Opacity estimates, Test of diesel, The toxicity of the exhaust gases diesel engines

Аннотация: A method for measuring exhaust smoke opacity has been developed, which allows estimating the differentiated components forming black exhaust and those forming white smoke. The method is based on video recording and special software for processing the video recording data. The flow of the diesel exhaust gas is visualised using the digital camera, against the background of the screen, on a cut of an exhaust pipe, and with sufficient illumination of the area. The screen represents standards of whiteness and blackness. The content of the black components (soot) is determined by the degree of blackening of the white standard in the frames of the video, and the content of whitish components (unburned fuel and oil, etc.) is determined by the degree of whitening of black standard on the frames of the video. The paper describes the principle and the results of testing the proposed method of measuring exhaust smoke opacity. We present an algorithm for the frame-by-frame analysis of the video sequence, and static and dynamic mathematical models of exhaust opacity, measured under free-acceleration of a diesel engine.

Ссылки на полный текст

Издание

Журнал: Transport Problems

Выпуск журнала: Vol. 12, Is. 3

Номера страниц: 83-91

ISSN журнала: 18960596

Издатель: Silesian University of Technology

Авторы

  • Blyankinshtein I. (Siberian Federal University, Svobodniy av., 79/10, Krasnoyarsk, Russian Federation)
  • Askhabov A. (Siberian Federal University, Svobodniy av., 79/10, Krasnoyarsk, Russian Federation)
  • Voevodin E. (Siberian Federal University, Svobodniy av., 79/10, Krasnoyarsk, Russian Federation)
  • Kashura A. (Siberian Federal University, Svobodniy av., 79/10, Krasnoyarsk, Russian Federation)
  • Malchikov S. (Siberian Federal University, Svobodniy av., 79/10, Krasnoyarsk, Russian Federation)

Вхождение в базы данных

Информация о публикациях загружается с сайта службы поддержки публикационной активности СФУ. Сообщите, если заметили неточности.

Вы можете отметить интересные фрагменты текста, которые будут доступны по уникальной ссылке в адресной строке браузера.