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Method for characterizing morphologies of particulate matters in diesel

A technology for particulate matter and diesel engine, which is applied in the field of image analysis of diesel engine particulate matter, and achieves the effects of reliable morphology, simple calculation method and simple operation process.

Inactive Publication Date: 2017-04-26
JIANGSU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there is still a lack of fractal theory as a method for characterizing the morphology of diesel particulate matter

Method used

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  • Method for characterizing morphologies of particulate matters in diesel
  • Method for characterizing morphologies of particulate matters in diesel
  • Method for characterizing morphologies of particulate matters in diesel

Examples

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0044] The engine model used in this embodiment is a non-road use LD188F air-cooled diesel engine with a rated speed of 3600r / min and a rated power of 8.2kW. Make the diesel engine run stably under the two working conditions of 100% and 10% load at 3600r / min, and use MOUDI to classify and collect diesel engine particles with different particle sizes. 1.0μm, 3.2μm, 5.6μm, 10μm and 18μm. In the example, we take the 0.18-0.32μm particle size sample under 100% load as an example. Put the aluminum foil paper with the particle sample into the acetone reagent, dissolve the particle in acetone by ultrasonic oscillation and centrifugation, absorb the solution containing a small amount of particle sample and drop it on the surface of the conductive adhesive adhered to the metal post, and then put the The sample is sprayed with gold to obtain the partic...

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Abstract

The invention discloses a method for characterizing morphologies of particulate matters in a diesel. The method comprises the following steps: firstly, collecting particulate matters with different aerodynamic diameters in an exhaust passage of the diesel in a grading manner as samples to be measured; extracting the samples to be measured by an ultrasonic oscillation and centrifugation method by using an acetone reagent; adhering a particulate-containing dissolved solution to the surface of the surface of conductive adhesive, performing metal spraying to obtain particulate analysis samples, and analyzing the samples by using a field emission scanning electron microscope to obtain electron microscope gray scale images with the gray scale values of 0-255; with a maximum interclass variance method, determining the thresholds to obtain binary images; extracting the boundaries of the target areas of the images by a multi-level edge detection algorithm; with an arithmetic order meshing method, dividing contour boundaries by using a matrix containing delta*delta pixel points; establishing some squares or boxes with the side length of delta, and then calculating the number of intersections of the boxes with different delta values and a plane set F to obtain dimensions of the boxes. The method is simple, convenient and fast; the calculated dimensions of the boxes can clearly and intuitively reflect fractal characteristics of the particulate matters in the diesel.

Description

technical field [0001] The invention relates to the field of diesel engine particle image analysis, in particular to a method for characterizing the appearance of diesel engine particles. Background technique [0002] Diesel particulate matter is one of the main sources of PM2.5. Harmful substances directly emitted by diesel engines produce secondary particles through a series of reactions, causing serious pollution to the environment. The research on the morphology characteristics of diesel engine particles is an important means to identify the primary or secondary particles of diesel engines. At present, scholars at home and abroad have studied diesel engine particulates from the perspective of particle size and composition, but there is a lack of identification methods from the perspective of complex morphology of particulates. Therefore, it is of great significance to find an effective and intuitive means to reflect the morphology characteristics of diesel particulate ...

Claims

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Application Information

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IPC IPC(8): G01N15/02
CPCG01N15/02G01N2015/0294
Inventor 梅丛蔚梅德清陈挑挑陈鬃涂立志
Owner JIANGSU UNIV
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