Technologies

Engineering

Engineering Portfolios

Most Recent Inventions

Health Monitoring and Imaging System for Concrete Structures

An assistant professor in civil engineering at the University of Wisconsin-Platteville in partnership with an electrical engineer from New Mexico State University, has developed a comprehensive monitoring system capable of identifying interior defects and stress in concrete structures such as bridges. By combining sensor technology with an ultrasound signal generator, multi-channel data acquisition and proprietary data processing algorithms, the interior conditions in any cross section of a bridge can be visualized in 3D. With this technology, small stress changes in the order of 0.1Mpa and cracks as thin as a human hair are detected. Such a combined system provides competitive advantage over existing methods that solely measure stress changes and rely on installation of strain gauges on the surface or inside concrete structures. These methods only provide for measurement of stress changes at the locations where sensors are placed, creating gaps in the evaluation of stress change. In addition, with current technology, holes must be drilled and patched for sensor placement and bridges must be taken out of service during testing. The proposed technology provides for a more absolute evaluation of not only changes in stress but also identification of cracks, does not require drilling of holes and can be used on in-service bridges, saving time, money and providing a more comprehensive assessment of bridge health.
T180044WO01

More Efficient Laminate Analysis

UW–Madison researchers have developed a method for analyzing composite laminate structures that combines the generality of 3-D FEA and efficiency of 2-D FEA whenever it is applicable. The new method works by substituting the laminate layers with much simpler virtual material models having matching characteristics (e.g., overall material properties and relationship between stresses and strains). The updated model can then by analyzed via fully automated 3-D FEA.

The virtual models may be referred to as ABD-equivalent models, as they result in the same ABD stiffness matrices as the real laminate and can act as substitutes if plate-shell assumptions apply.
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Most Recent Patents

3-D Printer for High Quality, Large-Scale Metal Parts

UW–Madison researchers have developed a linear multisource 3-D printer capable of producing large, fully dense metal parts with micron resolution.

The highly practical design employs a mechanically scanned cathode comb, large metal powder bed and vacuum. The design ensures a tightly controlled focal spot size, minimizes the number of beam sources, produces large parts at full density and requires little or no post processing because of the high resolution print head.
P150236US01

Environmentally Green Glue

UW–Madison researchers have developed a process to transform soy flour into a strong, environmentally safe wood adhesive.

In the process, a suitable reagent is used to phosphorylate the flour’s lysine amino acid residues. The phosphorylated flour then is mixed with an oxidizing agent that drives the formation of cross-linking bonds. This improves the flour’s adhesive properties. Unwanted salts created in the process can be removed.

Flours of other legumes and/or oil seed crops (e.g., flax, canola) are suitable as well.
P130276US02

Dynamic Predictor Improves Machine Control

The researcher now has developed a new dynamic predictor that rapidly and accurately calculates the motion trajectory of a system that is only partially constrained by joint inputs. This dynamic predictor achieves stable and accurate results for stiff systems. To do this, the predictor applies conditions achieving such results at both a first and second joint position at the start and end of a motion time step.

More specifically, the relationship between joints is described as a differential equation to be solved by the predictor. The predictor parameterizes the motion of the unconstrained joints in such a way as to match the conditions the solution needs to satisfy at both the start and end of a motion time step. As this parameterization is expressed by polynomial coefficients, motions of the remaining joints are readily determined by the kinematic predictor.
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