Magnetomechanical Properties Of Composite Materials With Giant Magnetostriction

AbstractThe aim of this work was to observe the changes in the magnetomechanical properties of composite materials with different Tb0.3Dy0.7Fe1.9(Terfenol-D) powder particle-size distributions and varying volume fractions in the polyurethane matrix. The results show a direct relationship between the properties and the particle size of the Tb0.3Dy0.7Fe1.9powder: the increases in the particle-size distribution of the Tb0.3Dy0.7Fe1.9powder in the matrix amplify the magnetostrictive responses and the compressive modulus values. Moreover, it was found that the key role in efficiency of the transformation of magnetic energy into mechanical plays the initial compressing pre-stress.

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A sample formation procedure to obtain homogeneous post-erosion particle size distribution

E3S Web of Conferences ◽

10.1051/e3sconf/20199202015 ◽

2019 ◽

Vol 92 ◽

pp. 02015

Author(s):

Shijin Li ◽

Adrian R. Russell

Keyword(s):

Particle Size ◽

Fine Particles ◽

Internal Erosion ◽

Triaxial Tests ◽

Experimental Investigations ◽

Size Distributions ◽

Particle Size Distributions ◽

The Matrix ◽

Homogeneous Particle ◽

Coarse Soil

Internal erosion (suffusion) is caused by water seeping through the matrix of coarse soil and progressively transporting out fine particles. The mechanical strength of soils within water retaining structures may be affected after internal erosion occurs. However, most experimental investigations on the mechanical consequences of internal erosion have used triaxial tests on samples having nonhomogeneous particle size distributions along their lengths. Such nonhomogeneities arise from the most commonly used sample formation procedure, in which seeping water enters one end of a sample and washes fine particles out the other. In this paper a new soil sample formation procedure is presented which results in homogeneous particle size distributions along the direction of seepage, that is at all locations along a sample's length.

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A model-based analysis of particle size distributions in composite materials

Acta Materialia ◽

10.1016/s1359-6454(02)00502-5 ◽

2003 ◽

Vol 51 (4) ◽

pp. 997-1006 ◽

Cited By ~ 11

Author(s):

J. Scalon ◽

N.R.J. Fieller ◽

E.C. Stillman ◽

H.V. Atkinson

Keyword(s):

Particle Size ◽

Composite Materials ◽

Size Distributions ◽

Particle Size Distributions ◽

Model Based ◽

Model Based Analysis

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Influence of Powder Particle Size Distribution on the Properties of Press-and-Sintered Titanium and Ti-6Al-4V Preforms

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1019.225 ◽

2014 ◽

Vol 1019 ◽

pp. 225-230 ◽

Cited By ~ 1

Author(s):

Hendrik L. Bosman ◽

Deborah C. Blaine

Keyword(s):

Particle Size ◽

Powder Particle ◽

Master Alloy ◽

Pure Titanium ◽

Fine Powder ◽

Powder Particle Size ◽

Size Distributions ◽

Sintered Titanium ◽

Particle Size Distributions ◽

Coarse To Fine

The potential to control the final properties, as measured by density, strength and microstructure, of press-and-sintered titanium and master alloy Ti-6Al-4V is investigated by designing and evaluating bimodal particle size distributions of the relevant powders. Ratios of 1/3, 2/3 and 1/1 by volume of coarse to fine powders, as determined by particle size peaks, were blended from -200 and -100 mesh commercially pure titanium powders and -200 mesh 60Al-40V master alloy powder, in the case of Ti-6Al-4V. The powder blends were uniaxially compacted at 350, 400 and 450 MPa, and the green specimens were sintered under high vacuum for two hours at 1300°C. The results support theoretical prediction of green and sintered density based on the ratio of the volume percentage of coarse to fine powder; green density increases as the ratio of coarse powder increases for both the pure and alloy titanium, while the sinter density similarly decreases for the pure titanium. Microstructural observations of the sintered specimens show that the pore size decreases, and the pore shape becomes more rounded, as the ratio of fine powder increases. In order to extend the study to find the optimal packing ratio, and potentially the optimal blend for densification, further refinement of the initial powder particle size distributions is needed.

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Size characterization of selected food powders by five particle size distribution functions Caracterización del tamaño de partícula de alimentos en polvo mediante cinco funciones de distribuciones de tamaño

Food Science and Technology International ◽

10.1177/108201329700300507 ◽

1997 ◽

Vol 3 (5) ◽

pp. 361-369 ◽

Cited By ~ 17

Author(s):

H. Yan ◽

G.V. Barbosa-Cánovas

Keyword(s):

Particle Size ◽

Particle Size Distribution ◽

Size Distribution ◽

Distribution Functions ◽

Powder Particle Size ◽

Size Distributions ◽

Corn Meal ◽

Particle Size Distributions ◽

Food Powders ◽

Food Powder

The properties of a food particulate system are highly dependent on its particle size distribution. The knowledge of this distribution is essential to the analysis of the handling, processing, and functionality of the food powder. Properly selected distribution functions are excellent tools with which to simplify and accurately describe the particle size distribution. The objectives of this study were to identify appropriate distribution functions for characterizing the particle size distribution of selected food powders. Granular sugar, corn meal and instant non-fat milk powder were clas sified into six or seven particle size cuts for each powder. The experimental data were fitted by five particle size distribution functions: (i) Gates-Gaudin-Schuhmann (GGS); ( ii) Rosin-Rammler (RR); (iii) Modified Gaudin-Meloy (MGM); (iv) Log-normal (LN); and ( v) modified beta (MB). These models were selected for their mathematical simplicity, adequate statistical properties and usefulness in describing other particulate systems similar to the food powders under considera tion. In all cases, it was found that the RR and MGM models were the best for the characteriza tion of all food powders considered, the LN and MB were best for sugar, and the GGS was suitable for corn meal. All five models should be considered for characterizing other food powder particle size distributions because all of them offer enough flexibility to properly describe particle size distributions for different types of food powders.

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