Abstract
Thermogravimetric analyzer was applied to analyze 22 solid materials and their mixtures at a heating rate of 10 K min−1 under nitrogen atmosphere. A grey-relation-based method for thermogravimetric (TG) data analysis was proposed, which introduced a mass loss vector (MLV) as numeric form of TG curves and calculated grey relations between MLVs of different materials as criterion. The method was applied to TG data, exemplifying its applications in classification of some solid wastes, simulation of biomass based on three compositions and interaction analysis of two materials. The results indicated that paper category could be represented by cellulose below 673 K while textile category could be represented by cellulose and polyethylene terephthalate (PET). 12 kinds of biomass could be simulated with all relation values larger than 0.92 between experimental and calculated data. Influences of interaction between PVC, paper and poplar wood were quantitatively analyzed, which showed less influence between paper and poplar than PVC and poplar.
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The financial supports from the National Key R&D Program of China (Grant no. 2017YFB0603901) and National Natural Science Foundation of China (no. 21376134) are gratefully acknowledged.
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Long, Y., Li, Q., Zhou, H. et al. A grey-relation-based method (GRM) for thermogravimetric (TG) data analysis. J Mater Cycles Waste Manag 20, 1026–1035 (2018). https://doi.org/10.1007/s10163-017-0665-6
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DOI: https://doi.org/10.1007/s10163-017-0665-6