Starch-based aerogel prepared by freeze-drying: establishing a BP neural network prediction mode (Record no. 54336)

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control field MX-MdCICY
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250625162445.0
040 ## - CATALOGING SOURCE
Transcribing agency CICY
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-20236
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245 10 - TITLE STATEMENT
Title Starch-based aerogel prepared by freeze-drying: establishing a BP neural network prediction mode
490 0# - SERIES STATEMENT
Volume/sequential designation Iranian Polymer Journal, 32(1), p.37-44, 2023
520 3# - SUMMARY, ETC.
Summary, etc. Preparation of starch-based aerogel by freeze-drying technique is considered as a suitable method for practical production due to its reasonable cost and controllable process. However, the low expansion rate of this method limits the application of adsorption and transport. In this study, through some pretreatment methods, such as adding glycerol and NaHCO3, and using double-roll extrusion, etc., the volume of the internal pores of starch aerogel was effectively increased, and the expansion rate was significantly improved. Meanwhile, a two-layer BP (back propagation)neural network model was established to predict the expansion rate. The result shows that the established BP network prediction model can accurately predict the target. Meanwhile, as the mass of glycerol increases, the expansion rate first increases and then decreases. When the mass of glycerol reaches 30 g, the expansion rate reaches the maximum value of 13.7 percent. As the mass of NaHCO3 increases, the expansion rate also increases first and then decreases. With the continuous increase of the double-roll extrusion time, the expansion rate will continue to increase. The simple pretreatment methods have a significant effect on improving the expansion rate of starch aerogel, which expands the application range. At the same time, the successfully applied BP network prediction model can improve production efficiency.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element STARCH
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element AEROGEL
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element FREEZE-DRYING
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element PREDICTION MODEL
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element EXPANSION RATE
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Sun, G.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Zeng, G.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Hu, C.
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Jiang, T.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/14_sUBgPyn6tXs6po3QyzUeCIwoFFzxjA/view?usp=drivesdk">https://drive.google.com/file/d/14_sUBgPyn6tXs6po3QyzUeCIwoFFzxjA/view?usp=drivesdk</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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Source of classification or shelving scheme Clasificación local
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-20236 25.06.2025 25.06.2025 Documentos solicitados