This project will provide a detailed evaluation of the energy, water and labour requirements of the four different types of milking systems used in Nova Scotia. Nova Scotia currently has 36 robotic milking systems installed with more expected in the near future. It is generally considered that robotic systems use more water than free stall systems, however tie stall systems use less than free stall. If the industry is moving to high water use systems then such evaluations are important to ensure a sustainable and responsible approach to water use if achieved.
This research project seeks to improve the process which is used to recover fine phosphorous particles from mine tailings. Phosphorus based fertilizers are important for plant growth and essential to large-scale, high-efficiency farming methods. However, the processing method used to obtain phosphate from phosphate-bearing ore is not very efficient. Upward of 13 % of the available phosphate is lost to the waste stream during processing, which represents a major inefficiency and creates a large environmental problem.
ABRI-Tech and Memorial University (MUN) have been collaborating to optimize ABRI-Techs pyrolysis system to convert woody biomass (i.e. demolition wood waste, sawmill residues, forest residues, agricultural and other residues) to bioproducts.
The Graphene Audio group at TandemLaunch is working to revolutionize loudspeaker design through the use of graphene composite materials (Graphene-CMs) in loudspeaker membranes. Graphene is a newly discovered material with exceptional mechanical and electrical characteristics. Its low mass and high strength make it ideal for use in acoustic transducers offering an immediate benefit over existing loudspeaker technologies.
This project seeks to improve the manufacturing techniques and acoustic characteristics of these Graphene-CMs.
Cloud computing has emerged as an important platform for business and companies, providing a cost-effective way to scale business service with users demand. The proposed research project aims to take full advantage of cloud computing for legal-service companies in Canada, with a particular focus on cloud resource allocation. Unlike conventional resource-allocation schemes that are either centralized or distributed, the proposed research will develop a new hybrid resource-allocation scheme that enjoys clear advantages over conventional schemes.
This project aims to develop a remote sensing based framework for Newfoundland and Labrador (NL) wetland inventory and classification and monitoring through the synergistic use of satellite and airborne multi-spectral and ortho-imagery and space-born synthetic aperture radar (SAR) data. The proposed project involves collaboration from C-CORE, Ducks Unlimited Canada, and Santec. The results and approach will help Ducks Unlimited Canada for conserving wetland and for waterfowl, wildlife and people.
Most of the gold that is produced by hydrometallurgical processes is recovered by cyanide leaching. However, the reactive nature of some minerals questions the applicability of cyanide technology for selected applications. The current research is designed to evaluate the cyanide technology as well as an alternative processing path for a particular material through extensive experimental program. The project will yield the mathematical models describing all chemical processes in each circuit, as well as mass and energy balances based on laboratory data and scientific reasoning.
The proposed study will develop seismic design guidelines for retrofitting deficient concrete bridge columns with sprayed fiber reinforced plastic (FRP). Seismically deficient bridge columns (with different aspect ratios and transverse reinforcement ratios) retrofitted with composites will be tested under reverse cyclic loading. The tests will determine various damage states in terms of strain and drift.
Many copper deposits contain significant amount of arsenic and antimony and being overlooked because of it. These impurities are currently subject to smelters penalty. Development of an efficient technology for removal of these impurities and converting them as sellable products will make a number of deposits economic that are currently not being mined. The current research will assist in identifying the most efficient technology for treating such complex minerals and to meet the rising demand for clear copper concentrates.
This research focuses on novel sensor-based algorithms for sorting rocks and categorizing them as good (valuable) and bad (worthless) rocks. The sensors in the sorter will see the rocks characteristics, whether its their color or atomic density or the desired element and send a command to a mechanical arm, for example, to separate the two types of rock from each other.