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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Iranian Research Organization for Science and Technology</PublisherName>
				<JournalTitle>Journal of Particle Science and Technology</JournalTitle>
				<Issn>2423-4087</Issn>
				<Volume>5</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2019</Year>
					<Month>08</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Mono-Size Distribution Index (MSDI): A new criterion for the quantitative description of size distribution</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>71</FirstPage>
			<LastPage>76</LastPage>
			<ELocationID EIdType="pii">832</ELocationID>
			
<ELocationID EIdType="doi">10.22104/jpst.2019.3455.1144</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Hamid</FirstName>
					<LastName>Moghadam</LastName>
<Affiliation>Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mozhgan</FirstName>
					<LastName>Zakeri</LastName>
<Affiliation>Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Abdolreza</FirstName>
					<LastName>Samimi</LastName>
<Affiliation>Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-4214-0100</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>01</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>Graphical size distribution is widely used in different fields of science and studies related to powders, droplets, bubbles, and pores. However, in some condition it may also be necessary to express the size distribution quantitatively. In spite of there being several suggested ways to quantify size distribution in the literature, some of these approaches are not applicable for many methods and the rest have other drawbacks. In this study, first, some quantitative size distribution methods (such as the polydispersity index) and their defects are concisely discussed. &lt;em&gt;SPAN &lt;/em&gt;seems to be the most generally appropriate method, its parameters are determined from cumulative size distribution data. Nevertheless, some specific results imply that there are still some drawbacks in this method. Next, a new quantitative description of size distribution is presented which is applicable to many different techniques. In this method the characterization value is limited to 0 and 1, where 0 is related to completely polydispersed size distribution and 1 denotes the completely monodispersed size distribution.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">quantitative size distribution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">SPAN</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">polydispersity</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jpst.irost.ir/article_832_7250eb93b3c18cc9daa29cf58af7a004.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
