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3D imaging of light carbon nanoparticle structures

Başlık çevirisi mevcut değil.

  1. Tez No: 518938
  2. Yazar: OSMAN ORHAN
  3. Danışmanlar: Dr. A. LA ROCCA
  4. Tez Türü: Yüksek Lisans
  5. Konular: Makine Mühendisliği, Mechanical Engineering
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2015
  8. Dil: İngilizce
  9. Üniversite: The Unıversıty Of Nottıngham
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Belirtilmemiş.
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: Belirtilmemiş.

Özet

Özet yok.

Özet (Çeviri)

Diesel internal combustion engines produce light carbon nanoparticles. Most of them either emit to air thought exhaust pipe or contaminate engine oil. In order to understand soot characteristics, it has been examined by empirical methods with Transmission Electron Microscopy (TEM). These methods have some limitations due to high dependence of projection area of particle and uncertainties on projection view. Chaotic soot forming conditions also make unpredictable to empirical constants. In order to make better estimations about soot characteristics, diesel combusted and in oil soot has been modelled with 3D reconstruction. Due to challenges of acquisition of contaminated sootin- oil TEM images, chemical pre-processing applied. Tomographic reconstruction has been conducted to both soot samples with dual and single axis Simultaneous Iterative Reconstruction Technique (SIRT). Set of post processing applied tomograms to clean and segment unwanted particles for better measurement. After post processing, elongations for dual and single axis were found as 28% and 36.6% respectively. This artefact on measurements has been lowered by fiducial marker correction. It has been found that while combusted soot displays more distributed and thick shape than TEM projection, soot-in-oil presents more packed and thin structure. Comparisons on 2D and 3D models have been conducted. Hence, some empirical equations were agreed with 3D models, most of comparisons exhibit substantial difference. Geometric and fractal variables were measured from both empirical and 3D Models. While empirical volume measurements for combusted soot demonstrate up to 48.8% lower values, in oil soot exhibit up to 24.3% higher values than 3D models. Fractal dimensions calculated both iterative and box counting method and found it is tend to be range of 1.7 to 2.2. 3D derived fractal dimension value is up to 25.5% higher than 2D derived values. 3D derived radius of gyrations were found 148nm for combusted soot and 133nm for soot-inoil samples with up to 18% difference on 2D an 3D derived values.

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