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- Frank Uwe
- Institute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, Germany
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- Uttinger Maximillian J.
- Institute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, Germany
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- Wawra Simon E.
- Institute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, Germany
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- Lübbert Christian
- Institute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, Germany Interdisciplinary Center for Functional Particle Systems, Friedrich Alexander Universität Erlangen-Nürnberg, Germany
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- Peukert Wolfgang
- Institute of Particle Technology (LFG), Friedrich Alexander Universität Erlangen-Nürnberg, Germany Interdisciplinary Center for Functional Particle Systems, Friedrich Alexander Universität Erlangen-Nürnberg, Germany
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説明
<p>The properties of particle ensembles are defined by a complex multidimensional parameter space, namely particle size, shape, surface, structure, composition and their distributions. Macroscopic product properties are a direct result of these disperse particle properties. Therefore, the comprehensive multidimensional characterization of particle ensembles is a key task in any product design. However, the determination of complex property distributions is major challenge. We provide a broad overview of the current tools for multidimensional particle characterization. First, the mathematical handling of multidimensional (nD) property distribution is outlined as a necessary framework for the correct handling of nD particle size distributions (PSDs). Then, well-established techniques as well as recent developments with the potential to extract nD property distributions are reviewed. Ex situ imaging techniques like electron tomography or Raman spectroscopy with AFM co-localization, for instance, provide a resolution on the level of single particles but are limited in terms of sample statistics. A particular focus lies therefore on methods in the gas and the liquid phase, which provide multidimensional particle properties either directly or by a combination of one-dimensional techniques.</p><p></p>
収録刊行物
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- KONA Powder and Particle Journal
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KONA Powder and Particle Journal 39 (0), 3-28, 2022-01-10
公益財団法人 ホソカワ粉体工学振興財団
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詳細情報 詳細情報について
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- CRID
- 1390010292494277632
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- NII論文ID
- 130008165105
- 40022782872
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- NII書誌ID
- AA10690964
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- ISSN
- 21875537
- 02884534
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- NDL書誌ID
- 031892116
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDLサーチ
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- 抄録ライセンスフラグ
- 使用可