SUMMARYIn previous research, it was found that melamine-formaldehyde resin can be used as a binder for a hydroxy-functional organophosphorus flame retarding agent (FR) on cotton. The role that trimethylol melamine (TMM) plays in this flame retarding system was studied. When TMM is applied to cotton, it forms crosslinks between cellulose molecules. When TMM is applied to cotton in the presence of FR, it reacts with FR to form a crosslinked polymeric network in addition to reacting with cotton. The formation of the crosslinked network improves the laundering durability of FR and also increases the fabric stiffness. The number of crosslinks among cotton cellulose formed by TMM decreases as the FR concentration in the system is increased. TMM also functions as a nitrogen provider to enhance the flame retarding performance of FR due to phosphorus-nitrogen synergism. Therefore, the amount of TMM used in a FR/ TMM formula plays the most critical role in determining the effectiveness of this flame retarding system. The finish bath pH also plays a significant role in influencing the performance of the flame retarding system on cotton. The optimum pH was found to be around 4.
Ultrabroadband photodetection has
been a hot topic with the rapid
development of materials science and the application requirements
for communication, imaging, and sensing. Photodetectors based on bandgap-independent
bolometry are promising candidates for detection of light from the
ultraviolet to the terahertz range. Here we report a photothermoelectric
detector made of an alloy of EuBiSe3 single crystal. The
device shows room-temperature self-powered photoresponse from ultraviolet
(375 nm) to terahertz (163 μm) with nearly uniform sensitivity
against wavelength and fast response speed. Thanks to the large thermoelectric
power (Seebeck coefficient) of EuBiSe3, the photovoltage
responsivity derived from the incident (not absorbed) power reaches
as high as 1.69 V/W at 405 nm without any bias voltage and exceeds
0.59 V/W even at terahertz frequencies, with noise-equivalent power
below 1 nW/
, which is 1–2 orders of
magnitude
lower than reported photothermoelectric detectors. The response time
is around 200 ms, nearly 2 orders of magnitude faster than silicon-based
heterojunction ultrabroadband photodetectors and on the same order
as the millimetric-scale graphene- and carbon nanotube-based bolometric
photodetectors. In addition, the as-grown EuBiSe3 crystal
possesses a unique needle-like shape, intrinsically facilitating integration
of the detector. Our work demonstrates that improved thermoelectric
materials hold great promise for room-temperature, high-performance,
broadband photodetection.
It is necessary to use a crosslinking agent to bond a flameretarding hydroxy-functional organophosphorus oligomer (FR) to cotton so that the flame resistance of the treated cotton fabric can be durable to multiple homelaundering. Both dimethyloldihydroxyethyleneurea (DMDHEU) and melamine– formaldehyde (M-F) have been used as the binding agents between FR and cotton. The vertical flammability, limiting oxygen index (LOI) and phosphorus content after different numbers of laundering cycles as well as the wrinkle resistance and tensile strength of the cotton fabric treated with FR/DMDHEU and FR/M-F was investigated and compared in this research. We found that DMDHEU is more effective for crosslinking cotton cellulose and for crosslinking between FR and cotton than M-F. We also found that the bonding formed by DMDHEU between cotton and FR is more durable to multiple laundering cycles than that formed by M-F. M-F is a more effective nitrogen provider than DMDHEU to enhance the flame retarding performance of the treated cotton fabric through phosphorus–nitrogen synergism, therefore the presence of M-F in the flame retardant finishing system significantly increases the flame resistance of the treated fabric. DMDHEU, as an effective crosslinking agent for cotton, causes more fabric strength loss than M-F.
Ultra-broadband
photodetection is crucial for various applications
like imaging and sensing and has become a hot research topic in recent
years. However, most of the reported ultra-broadband photodetectors
can only cover the range from ultraviolet to infrared, which is insufficient.
Herein, a photothermoelectric (PTE) detector made of NbS3 is reported. The device shows a considerable performance from ultraviolet
to terahertz. For all examined wavelengths, the photoresponsivities
are all larger than 1 V W–1 while the response time
is less than 10 ms, much shorter than the reported ultra-broadband
photodetectors made of millimetric scale graphene, ternary chalcogenide
single crystal, and other materials. The extraordinary performance
is fully discussed and can be attributed to the thermal localization
enhanced PTE effect. Because of the short thermal decay length and
low thermal loss, the heat generated by the illumination is localized
in only a micrometer scale along the channel, and thus a strong PTE
response is produced. In addition, the fabricated device also demonstrates
robust flexibility and stability. Thanks to the quasi-one-dimensional
(quasi-1D) structure, the NbS3 crystal is easy to be scaled
down and thus intrinsically facilitate the integration of detectors.
With these favorable merits, the quasi-1D NbS3 crystal
holds a promising potential in high-performance, ultra-broadband photodetectors.
It is important to conduct error analysis of assemblies in order to ensure that the manufactured parts satisfy the design specifications. Traditionally, mechanical tolerances and clearances are modeled as random variables and the analysis is conducted using probabilistic methods. In this work, a new approach, based on interval analysis, is presented for the modeling and analysis of tolerances and clearances. The basic procedure of interval analysis involving solution of simultaneous nonlinear equations is described. The application of the approach in the fuzzy error analysis of planar and spatial mechanisms is also outlined. The treatment of the tolerances and clearances of the mechanism as interval numbers leads to a better and a more realistic estimation of the analysis results. Numerical examples are presented to illustrate the computational procedures. The results of the interval analysis, although philosophically different, are compared with those given by the probabilistic method for comparable input data; the differences found in the two sets of results are explained in terms of the basic characteristics of the two methods. This work denotes the first application of interval methods for the modeling of tolerances and clearances and the fuzzy error analysis of mechanisms.
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