Nanotechnology Reviews | |
Materials characterization of advanced fillers for composites engineering applications | |
article | |
Lubomír Lapčík1  Martin Vašina2  Barbora Lapčíková1  David Hui4  Eva Otyepková1  Richard W. Greenwood5  Kristian E. Waters6  Jakub Vlček1  | |
[1] Regional Centre of Advanced Technologies and Materials, Department of Physical Chemistry, Faculty of Science, Palacky University;Tomas Bata University in Zlin, Faculty of Technology;VŠB-Technical University of Ostrava, Department of Hydromechanics and Hydraulic Equipment, Faculty of Mechanical Engineering;University of New Orleans, Composite Materials Research Laboratory, LouisianaUnited States of America;School of Chemical Engineering, University of Birmingham, BirminghamUnited Kingdom of Great Britain and Northern Ireland;Department of Mining and Materials Engineering, McGill University, 3610 University Street | |
关键词: mineral fillers; surface properties; sound absorption; mechanical properties; powder rheology; | |
DOI : 10.1515/ntrev-2019-0045 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: De Gruyter | |
【 摘 要 】
Four different minerals were investigated; hollow spheres of calcium carbonate, platy mica, needle like wollastonite and glassy perlite and characterized via iGC for surface energy, Freeman powder rheology for flow characterization, cyclic uniaxial die compaction for modulus of elasticity and frequency dependent sound absorption properties. Particle surface energy and particle shape strongly affected the packing density of powder beds. In the case of higher porosity and thus lower bulk density, the powders acoustic absorption was higher in comparison with higher packing density materials. Surface energy profiles and surface energy distributions revealed clear convergence with powder rheology data, where the character of the powder flow at defined consolidation stresses was mirroring either the high cohesion powders properties connected with the high surface energy or powder free flowing characteristics, as reflected in low cohesion of the powder matrix.
【 授权许可】
CC BY
【 预 览 】
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RO202107200004216ZK.pdf | 2027KB | download |