Classification of natural and thermo-modified peat by class-modeling techniques

Research output: Contribution to journalArticle

Abstract

Significant attention is paid to the production of peat-based materials in modern days. The study explores the influence of natural peat thermal modification on its properties by applying class-modeling techniques. Modification of different types of peat is achieved by heating at 250 ° C. The set of peat properties such as component composition, g-factor and IR-spectra is used to obtain data matrix. It is shown that class-modeling techniques, such as partial least-squares discriminant analysis (PLS-DA) and simple independent modeling of class analogy (SIMCA), allow estimating peat class (natural or modified) by a set of properties without prediction errors by using three latent variables. According to the results of classification, it is established that thermal modification can be considered as a means of regulating the composition and physico-chemical properties of natural peats as a raw material.

Original languageEnglish
Pages (from-to)596-600
Number of pages5
JournalKey Engineering Materials
Volume683
DOIs
Publication statusPublished - 2016
Event12th International Conference on Prospects of Fundamental Sciences Development, PFSD 2015 - Tomsk, Russian Federation
Duration: 21 Apr 201524 Apr 2015

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Peat
Discriminant analysis
Chemical analysis
Chemical properties
Raw materials
Heating

Keywords

  • Classification
  • Peat
  • Peat-based materials
  • Pls-da
  • Simca
  • Thermal modification

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

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abstract = "Significant attention is paid to the production of peat-based materials in modern days. The study explores the influence of natural peat thermal modification on its properties by applying class-modeling techniques. Modification of different types of peat is achieved by heating at 250 ° C. The set of peat properties such as component composition, g-factor and IR-spectra is used to obtain data matrix. It is shown that class-modeling techniques, such as partial least-squares discriminant analysis (PLS-DA) and simple independent modeling of class analogy (SIMCA), allow estimating peat class (natural or modified) by a set of properties without prediction errors by using three latent variables. According to the results of classification, it is established that thermal modification can be considered as a means of regulating the composition and physico-chemical properties of natural peats as a raw material.",
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