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Effects of Flocks Doping on the Dynamic Mechanical Properties of Shear Thickening Gel

100%

Tan Y. , Li Y. , Ma Y. , Rao B.

Autex Research Journal

2022

tom Vol. 22, no. 1

73--79

Polymethyl methacrylate (PMMA) was used as the dispersed phase and mold silicone was used as the continuous phase to prepare the shear thickening gel (STG) doped with a certain amount of flocks by rotary stirring. STG doped with flocks by a rotary rheometer was tested and observed through a scanning electron microscope. Results revealed that both the rotary stirring sample preparation and the rheological test method of the rotary rheometer could lead to the regular arrangement of flocks and could not reflect shear thickening performance accurately. The flocks showed a random arrangement in STG after the mixing process, and the dynamic mechanical properties were able to be measured with a dynamic mechanical analyzer (DMA). Flocks with a fineness of 3 Denier, 1 mm in length, and a mass ratio of 5% had significant effects on the dynamic mechanical properties of STG. Due to long continuous shearing time, flocks were arranged regularly when the sweeping frequency was higher than 125 Hz, then the shear thickening performance of the doped STG was declined.

Quick Detection of Aldehydes and Ketones in Automotive Textiles

100%

Ma Y. , Xue W. , Wei M. , Qian J.

Autex Research Journal

2021

tom Vol. 21, no. 2

192--197

This study was aimed to develop a quick detection method to test aldehydes and ketones in textiles in order to control the quality of automotive textiles in the development process from fabric production to end-use in vehicles. In this study, a pretreatment of samples was applied to simulate the actual environment of textiles used in vehicles. Collected volatiles were reacted with 2,4-dinitrophenylhydrazine and then eluted with acetonitrile tetrahydrofuran. The eluent was analyzed with high-performance liquid chromatography. Findings showed more than 90% volatiles could be detected in the established method; the lowest determination limit was 0.0297 mg/mL; and the lowest quantification limit was 0.0991 mg/mL, which meant sensitivity and capability of the method were high. Regression coefficients of linear models between volatile concentrations and chromatographic peak characteristics were >0.995, indicating that the method could effectively and efficiently determine the contents of volatiles in automotive textiles.