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Bloomington, IN, United States

Henderson J.,Victor Technologies, LLC
Welding Journal | Year: 2014

Bel-Aire Mechanical is a full-service mechanical, HVAC, and plumbing contractor. The company fabricates duct work, plumbing systems, and piping for municipal work, power plants, semiconductor manufacturers, and just about anyone else who needs pipe. Due to the climate in Phoenix, the company has the luxury of locating the entrance conveyor outside the building, opening a door as necessary for the operator to roll the length of pipe onto the conveyor. The weight of the pipe secures it in the turning rolls. The two main shafts are interconnected by precision gearboxes, which are driven by a variable-speed DC motor. In addition to planning facility layout, Prevett notes that companies need to evaluate how moving from manual to mechanized cutting will change logistics. Source


Henderson J.,Victor Technologies, LLC
Welding Journal | Year: 2012

Manufacturers design and build safe equipment to minimize the risks associated with oxyfuel processes such as heating, cutting, brazing, and welding. Good oxyfuel operators are aware that their own safety, along with the safety of those around them, depends on proper and responsible use of oxyfuel equipment. The basis of all oxyfuel processes is the triangle of combustion or fire triangle and combustion requires three elements, such as fuel, oxygen, and heat. Operators need to must control each of these elements, leading to safety starting with a clean work area free from oily rags, paper, volatile liquids, trash cans, and other combustibles. Eye protection options included a face shield, goggles, or safety glasses with appropriate shade lens to deal with flames, sparks, and a small amount of infrared rays produced from oxyfuel processes. Source


Grant
Agency: National Aeronautics and Space Administration | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 124.89K | Year: 2016

The use of eddy-current methods to detect damage in aerospace structures,and to characterize materials is well established, and is a key item to ensure that the risk of structural failures meets the strict damage tolerance requirements established by NASA. This is especially challenging when one considers that common aerospace structures are made from such disparage materials as aluminum, titanium and steel alloys, as well as carbon-fiber reinforced polymers (cfrp) and carbon-nanotube reinforced polymers (cnrp) that are seeing increased applications at NASA. Further the structural environments can be quite complex, including compound curvatures and/or multiple layers that are fastened together, with potential damage being located in each of the multiple layers. To address this need, Victor Technologies has developed VIC-3D(R), a comprehensive eddy-current modeling code for solving forward and inverse problems in nondestructive evaluation (NDE). Certain problems in modeling forward and inverse problems produce huge data sets, often requiring days of computation. In this proposal, we will enhance VIC-3D(R) for near real-time large-scale nondestructive simulations and automated data reduction/analysis of large data sets. Furthermore, we will add models to VIC-3D(R) that will allow the characterization of cnrp composites by electromagnetic means nondestructively. The result will be the first such commercial code for characterizing advanced composites by electromagnetic means nondestructively.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 149.99K | Year: 2011

ABSTRACT: To achieve the objectives of condition-based maintenance plus prognosis (CBM+), and realize its potential, the location and size of damage at any length scale, e.g., either a crack or a microstructural perturbation, needs to be determined with statistical metrics to feed prognostic reasoners and risk assessments. Previous work by Victor Technologies has focused on developing estimation-theoretic metrics for model-based inversion algorithms in eddy-current NDE. In this research effort, we will develop and demonstrate a general statistical theory of uncertainty propagation with appropriate metrics, and apply the results to more challenging three-dimensional problems, including those in which sizing and location of flaws are required, as well as materials characterization. This will pave the way for a validation study using benchmark data during Phase II. BENEFIT: The technology that we develop in this proposal will be applicable to the aerospace, nuclear power, materials characterization and many other industries, so our research will have commercial benefits that extend far beyond military applications.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 749.76K | Year: 2013

ABSTRACT: To achieve the objectives of condition-based maintenance plus prognosis (CBM+), and realize its potential, the location and size of damage at any length scale, e.g., either a crack or a microstructural perturbation, needs to be determined with statistical metrics to feed prognostic reasoners and risk assessments. Previous work by Victor Technologies has focused on developing estimation-theoretic metrics for model-based inversion algorithms in eddy-current NDE. During Phase II, we will build on the Phase I feasibility study to demonstrate and validate a general statistical theory of uncertainty propagation with appropriate metrics, and apply the results to more challenging three-dimensional problems, including those in which sizing and location of flaws are required, as well as materials characterization. Further, we will continue the development of high-dimensional model representation (HDMR) algorithms for application to statistical problems in NDE, which we first studied during Phase I. BENEFIT: The technology that we develop in this proposal will be applicable to the aerospace, nuclear power, materials characterization, civil infrastructure, and many other industries, so our research will have commercial benefits that extend far beyond military applications.

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