| Thread (77) |  |
| Yarn (43) | |
stretchable graphene oxide fibers that are scrolled easily into yarns and have strengths approaching that of Kevlar. This method opens up multiple possibilities for useful products.
#'Yarn muscles'100 times stronger than human muscles Using just coiled fishing line and sewing thread a team of scientists has developed a way to create super-strong artificial muscles.
Baughman has made artificial muscles out of carbon nanotube yarns before but those are much more expensive and complicated to make.
As with all artificial muscles the yarn muscles can't convert electrical to mechanical energy very efficiently yet.
The new approach uses yarns, made from nanowires of the element niobium, as the electrodes in tiny supercapacitors (which are essentially pairs of electrically conducting fibers with an insulator between).
but the niobium yarns are stronger and 100 times more conductive. Overall, niobium-based supercapacitors can store up to five times as much power in a given volume as carbon nanotube versions.
carbon nanotube yarn. The presently most electrically conductive carbon nanotube yarn replaces usual copper wires in the windings.
In order to make CNTS easy to manipulate they are spun to form multifiber yarn. If we keep the electrical machine design parameters unchanged and only replace copper with future carbon nanotube wires it is possible to reduce the Joule losses in the windings to half of the present-day machine losses.
The prototype motor uses carbon nanotube yarns spun and converted into an isolated tape by a Japanese-Dutch company Teijin Aramid
scaling up the production capacity together with improving the yarn performance will facilitate major steps in the future believes Business Development Manager Dr. Marcin Otto from Teijin Aramid agreeing with Professor Pyrhnen.
We expect that in the future the conductivity of carbon nanotube yarns could be even three times the practical conductivity of copper in electrical machines.
Super-stretchable yarn is made of graphene More information: Hunt Adrian Ernst Z. Kurmaev and Alex Moewes.
#Super-stretchable yarn is made of graphene A simple, scalable method of making strong, stretchable graphene oxide fibers that are scrolled easily into yarns
and have strengths approaching that of Kevlar is possible, according to Penn State and Shinshu University, Japan, researchers."
combination of fibers and yarns with electrical propertiesworked into the fabrics of the seat cover
""Our delivery mechanism resembles a ball of yarn, or clew, so we call it a nanoclew,
The yarns were wrapped then in graphene oxide sheets. Graphene is an incredibly strong one-atom-thick layer of carbon,
Finally, the graphene oxide yarns were exposed to a chemical reduction process, which involves the gaining of electrons.
alerting the wearer by turning on an LED light("Ultrasensitive and Highly Selective Graphene-Based Single Yarn for Use in Wearable Gas Sensor").
The yarns were wrapped then in graphene oxide sheets. Graphene is an incredibly strong one-atom-thick layer of carbon,
Finally, the graphene oxide yarns were exposed to a chemical reduction process, which involves the gaining of electrons.
Lengthwise yarns the warp are interwoven over and under with yarns called the weft. But what was not being done was weaving in three dimensions
nor was it being done seemingly by anyone else, according to patent research. Back in London, Sosanya had learned to weave
#Niobium Nanowire Yarns Make High-performance Supercapacitors Using yarns made from niobium nanowire, researchers at MIT have developed a new approach to making supercapacitors.
The new approach uses yarns, made from nanowires of the element niobium, as the electrodes in tiny supercapacitors (which are essentially pairs of electrically conducting fibers with an insulator between).
but the niobium yarns are stronger and 100 times more conductive. Overall, niobium-based supercapacitors can store up to five times as much power in a given volume as carbon nanotube versions.
#Knitted Supercapacitors to Power Smart Shirts Researchers from Drexel University in collaboration with the U s. Naval academy, have invented a way to embed activated carbon particles into different types of yarn to form a knitted textile that can store
into a cellulose-based yarn made from cotton, linen, bamboo, or viscosell of which have been tested electrochemically by Drexel team at the A j. Drexel Nanomaterials Institute,
and when the yarn was swelled partially, pressure was applied to it in order to embed the carbon into the fiber surface.
Finally, the yarn was spooled and rinsed with water, which helped remove the ionic liquid and re-solidify the cellulose.
Durkin was able to develop a small NFW machine to continuously create tens of meters of yarn at a time."
but those fibers became rigid or heavy, unlike our yarns, which are friendly to further processing, such as weaving, sewing and knitting,
#University embeds RFID chips in yarn Researchers at Nottingham Trent University have come up with a way of embedding RFID chips in yarns
Sealed inside resin micro pods within yarns, the fabrics incorporating RFIDS can be run through washing machines
either side of the chips are embedded in yarn fibres and act as an antenna. Measuring one millimetre by 0. 5 millimetre in size
and plied together like yarn or rope, according to the researchers. his technology could be well-suited for rapid commercialization,
and plied together like yarn or rope, "she said.""This technology could be well-suited for rapid commercialization,
but those fibers became rigid or heavy, unlike our yarns, which are friendly to further processing, such as weaving, sewing and knitting,
The long pillow, outfitted with conducting yarns and copper wire on either end, enables two people to communicate through vibration.
but those fibers became rigid or heavy, unlike our yarns, which are friendly to further processing, such as weaving, sewing and knitting,
and plied together like yarn or rope, she said. his technology could be well-suited for rapid commercialization,
< Back - Next >
Overtext Web Module V3.0 Alpha
Copyright Semantic-Knowledge, 1994-2011