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- All Subjects: blockchain
- All Subjects: Radiation
- All Subjects: Nanoparticles
- Creators: Kozicki, Michael
- Status: Published
The tool, referred to as Deppy, deposits material via hypersonic impaction, a two chamber process that takes advantage of compressible fluids operating in the choked flow regime to accelerate particles to up several thousand meters per second before they impact and stick to the substrate. This allows for the energetic separation of the synthesis and deposition processes while still behaving as a continuous flow reactor giving Deppy the unique ability to independently control the particle properties and the deposited film properties. While the ultimate goal is to design a tool capable of producing a broad range of nanomaterial films, this work will showcase Deppy's ability to produce silicon nano-particle films as a proof of concept.
By adjusting parameters in the upstream chamber the particle composition was varied from completely amorphous to highly crystalline as confirmed by Raman spectroscopy. By adjusting parameters in the downstream chamber significant variation of the film's density was achieved. Further it was shown that the system is capable of making these adjustments in each chamber without affecting the operation of the other.
Computational Fluid Dynamics (CFD) software, ANSYS Fluent, is utilized to simulate two-phase flows consisting of a carrier gas (Helium) and silicon nanoparticles. The Cunningham Correction Factor is used to account for non-continuous effects at the relatively low pressures utilized in AD.
The nozzle, referred to herein as a boundary layer compensation (BLC) nozzle, comprises an area-ratio which is larger than traditionally designed nozzles to compensate for the thick boundary layer which forms within the viscosity-affected carrier gas flow. As a result, nanoparticles impact the substrate at velocities up to 300 times faster than the baseline nozzle.
This is a test plan document for Team Aegis' capstone project that has the goal of mitigating single event upsets in NAND flash memory caused by space radiation.
In collaboration with Moog Broad Reach and Arizona State University, a<br/>team of five undergraduate students designed a hardware design solution for<br/>protecting flash memory data in a spaced-based radioactive environment. Team<br/>Aegis have been working on the research, design, and implementation of a<br/>Verilog- and Python-based error correction code using a Reed-Solomon method<br/>to identify bit changes of error code. For an additional senior design project, a<br/>Python code was implemented that runs statistical analysis to identify whether<br/>the error correction code is more effective than a triple-redundancy check as well<br/>as determining if the presence of errors can be modeled by a regression model.
The purpose of this research is to better understand the potential use environment of a Dendritic Identifier within the current leafy green supply chain, including the exploration of potential costs of implementation as well as non-economic costs. This information was collected through an extensive review of literature and through the engagement in in-depth interviews with professionals that work in the growing, distribution, and processing of leafy greens. Food safety in the leafy green industry is growing in importance in the wake of costly outbreaks that resulted and recalls and lasting market damage. The Dendritic Identifier provides a unique identification tag that is unclonable, scannable, and compatible with blockchain systems. It is a digital trigger that can be implemented throughout the commercial leafy green supply chain to increase visibility from farm to fork for the consumer and a traceability system for government agencies to trace outbreaks. Efforts like the Food Safety Modernization Act, the Leafy Green Marketing Agreement, and other certifications aim at establishing science-based standards regarding soil testing, water, animal feces, imports, and more. The leafy green supply chains are fragmented in terms of tagging methods and data management services used. There are obstacles in implementing Dendritic Identifiers in that all parties must have systems capable of joining blockchain networks. While there is still a lot to take into consideration for implementation, solutions like the IBM Food Trust pose options for a more fluid transfer of information. Dendritic Identifiers beat out competing tagging technologies in that they work with cellphones, are low cost, and are blockchain compatible. Growers and processors are excited by the opportunity to showcase their extensive food safety measures. The next step in understanding the use environment is to focus on the retail distribution and the retailer specifically.
The purpose of this research is to better understand the potential use environment of a Dendritic Identifier within the current leafy green supply chain, including the exploration of potential costs of implementation as well as non-economic costs. This information was collected through an extensive review of literature and through the engagement in in-depth interviews with professionals that work in the growing, distribution, and processing of leafy greens. Food safety in the leafy green industry is growing in importance in the wake of costly outbreaks that resulted and recalls and lasting market damage. The Dendritic Identifier provides a unique identification tag that is unclonable, scannable, and compatible with blockchain systems. It is a digital trigger that can be implemented throughout the commercial leafy green supply chain to increase visibility from farm to fork for the consumer and a traceability system for government agencies to trace outbreaks. Efforts like the Food Safety Modernization Act, the Leafy Green Marketing Agreement, and other certifications aim at establishing science-based standards regarding soil testing, water, animal feces, imports, and more. The leafy green supply chains are fragmented in terms of tagging methods and data management services used. There are obstacles in implementing Dendritic Identifiers in that all parties must have systems capable of joining blockchain networks. While there is still a lot to take into consideration for implementation, solutions like the IBM Food Trust pose options for a more fluid transfer of information. Dendritic Identifiers beat out competing tagging technologies in that they work with cellphones, are low cost, and are blockchain compatible. Growers and processors are excited by the opportunity to showcase their extensive food safety measures. The next step in understanding the use environment is to focus on the retail distribution and the retailer specifically.