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Fiber selection factors

Fibers are often regarded as the dominant constituents in a fiber-reinforced composite material. However, simple micromechanics analysis described in Section 7.3.5, Importance of Constituents, leads to the conclusion that fibers dominate only the fiber-direction modulus of a unidirectionally reinforced lamina. Of course, lamina properties in that direction have the potential to contribute the most to the strength and stiffness of a laminate. Thus, the fibers do play the dominant role in a properly designed laminate. Such a laminate must have fibers oriented in the various directions necessary to resist all possible loads. [Pg.391]

Fiber selection is usually based primarily on the required strength or stiffness. That selection process is relatively straightforward, but other [Pg.391]


The discussion of materials selection factors is naturally divided into three parts (1) overall factors pertinent to selection of the composite material itself, (2) factors governing the selection of the fibers, and (3) factors essential to selection of the matrix system. Those three types of selection trade-offs will be described, followed by summary remarks on the process of selecting a suitable composite material. [Pg.390]

The selection of a suitable matrix for a composite material involves many factors, and is especially important because the matrix is usually the weak and flexible link in all properties of a two-phase composite material. The matrix selection factors include ability of the matrix to wet the fiber (which affects the fiber-matrix interface strength), ease of processing, resulting laminate quality, and the temperature limit to which the matrix can be subjected. Other performance-related factors include strain-to-failure, environmental resistance, density, and cost. [Pg.392]

One of the most important factors affecting analytical results with SPME is the choice of fiber selected. At present, there are seven commercial fiber types available ... [Pg.226]

A second factor determining module selection is resistance to fouling. Membrane fouling is a particularly important problem in Hquid separations such as reverse osmosis and ultrafiltration. In gas separation appHcations, fouling is more easily controlled. Hollow-fine fibers are notoriously prone to fouling and can only be used in reverse osmosis appHcations if extensive, costiy feed-solution pretreatment is used to remove ah. particulates. These fibers caimot be used in ultrafiltration appHcations at ah. [Pg.74]

NGF has effects on the physiological responses of mature neurons. NGF acts as a target-derived trophic factor for pain neurons, which innervate peripheral tissues such as the skin. Inflammation of these peripheral tissues leads to local elevation of NGF synthesis and abundance. Elevated concentartions of NGF are responsible for the enhanced sensitivity to pain that accompanies inflammation. This is due to the ability of NGF to lower the sensory threshold of the pain fibers, leading to hyperalgesia. Nocioceptive sensory neurons mediating pain sensation are entirely dependent upon NGF for their survival as these cells are selectively lost in animal in which either the NGF or TrkA genes have been knocked out. These animals are insensitive to pain and live only a few weeks. [Pg.475]

Selection of the material model is another important factor to be considered. Some programs allow the user to specify plastic moment-rotation curves for beam elements. However, the more rigorous and most widely available method of defining nonlinear material properties is to specify the stress versus strain data, Plastic behavior is approximated at the section level in the former method whereas, the latter method tracks plastic behavior at the individual integration points (fibers) through the thickness of the member. Each method has its advantages and disadvantages. [Pg.183]

Finally the synthesis of inorganic-polymer composite membranes should be mentioned. Several attempts have been made to combine the high permeability of inorganic membranes with the good selectivity of polymer membranes. Furneaux and Davidson (1987) coated a anodized alumina with polymer films. The permeability increased by a factor of 100, as compared to that in the polymer fiber, but the selectivities were low (H2/O2 = 4). Ansorge (1985) made a supported polymer film and coated this film with a thin silica layer. Surprisingly, the silica layer was found to be selective for the separation mixture He-CH4 with a separation factor of 5 towards CH4. The function of the polymer film is only to increase the permeability. No further data are given. [Pg.111]

On the other hand, the type of fiber was only important for the lighter PCBs, mainly for PCB-28 and PCB-52. For these compounds, the PDMS-DVB fiber is more efficient than the PDMS fiber. The effect of the fiber factor appeared negative (Figure 2) because PDMS-DVB was selected as its low level (Table 1). For the highly chlorinated PCBs, the two fibers tested seem to have similar performance, and this factor lacks statistical significance. [Pg.173]

Facilitated transport of penicilHn-G in a SLM system using tetrabutyl ammonium hydrogen sulfate and various amines as carriers and dichloromethane, butyl acetate, etc., as the solvents has been reported [57,58]. Tertiary and secondary amines were found to be more efficient carriers in view of their easy accessibility for back extraction, the extraction being faciUtated by co-transport of a proton. The effects of flow rates, carrier concentrations, initial penicilHn-G concentration, and pH of feed and stripping phases on transport rate of penicillin-G was investigated. Under optimized pH conditions, i. e., extraction at pH 6.0-6.5 and re-extraction at pH 7.0, no decomposition of peniciUin-G occurred. The same SLM system has been applied for selective separation of penicilHn-G from a mixture containing phenyl acetic acid with a maximum separation factor of 1.8 under a liquid membrane diffusion controlled mechanism [59]. Tsikas et al. [60] studied the combined extraction of peniciUin-G and enzymatic hydrolysis of 6-aminopenicillanic acid (6-APA) in a hollow fiber carrier (Amberlite LA-2) mediated SLM system. [Pg.220]

When factor analysis is applied to the fiber-reinforced composite, the results are indeterminate making the problem of estimating the number of components quite difficult. However, if one selects the spectra carefully, excellent results can be obtained including a determination of the fraction of glass 7,8). [Pg.91]

The approach "select favorable raw material has a major impact on the selection of pretreatment processes. For example, the poplar responds splendidly to many pretreatments that fail with Douglas fir or pine-based materials (I). Specific tissues and cells of a given biomass raw material will respond quite differently. For example, the rind fiber of sugarcane bagasse behaves quite differently from the pith fiber (11)- In woody species, the selection of tissues low in bark and extractives is an important factor in the ease or resistance to cellulose hydrolysis. Before embarking on development of processes for hydrolysis of a biomass resource, it is highly desirable to exercise discretion with respect to the choice of raw materials at both the species and tissue levels. This idea is all the more important in an initial choice of species and pretreatment process. [Pg.14]


See other pages where Fiber selection factors is mentioned: [Pg.391]    [Pg.391]    [Pg.392]    [Pg.53]    [Pg.277]    [Pg.409]    [Pg.232]    [Pg.111]    [Pg.520]    [Pg.156]    [Pg.502]    [Pg.404]    [Pg.151]    [Pg.517]    [Pg.515]    [Pg.84]    [Pg.2149]    [Pg.518]    [Pg.177]    [Pg.210]    [Pg.1502]    [Pg.260]    [Pg.230]    [Pg.1517]    [Pg.324]    [Pg.211]    [Pg.183]    [Pg.216]    [Pg.456]    [Pg.95]    [Pg.382]    [Pg.209]    [Pg.293]    [Pg.211]    [Pg.780]    [Pg.111]    [Pg.496]    [Pg.302]    [Pg.820]   
See also in sourсe #XX -- [ Pg.391 ]




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Factors Determining the Selection of Fillers and Fibers

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