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Palo Alto, CA, United States

Austenitic stainless steel is often used in the construction of critical pipework in nuclear power plant and petrochemical plant due to its resistance to corrosion and its high fracture resistance. Pipelines are usually constructed by joining sections of pipe together, using welding. These welds can host many types of defects that may go undetected if not inspected and in-service and under stress these defects can grow and lead to mechanical failure through mechanisms such as fatigue. Currently inspecting austenitic welds using ultrasonic techniques is difficult due to the materials inhomogeneity and anisotropy that causes the beam to scatter at grain boundaries. Conventional Film Radiography is the current technique used for inspecting these materials as the grain structure does not significantly affect the radiographic results. Film radiography is limited due to its long exposure times and the information available from the inspection results because the output provides a 2D image of a 3D object. This causes the superimposition of internal features (reducing the contrast sensitivity) and the inability to position the depth of defects in the direction of the X-ray beam. The TomoWELD project proposes to develop a robust mobile X-ray tomographic system for the accurate inspection of austenitic steel welds at the sensitivity levels required in the nuclear industry. The application of X-ray Computed Tomography will overcome the limitations of current inspection techniques by providing 3D information of the internal structure allowing detailed cross sectional analysis and dimensional measurements to be obtained. The design and manufacture of this system requires further development of existing X-ray tomography techniques and algorithms, hardware (mobile X-ray source and digital detector arrays) and robust field manipulators for easy onsite operation.

Agency: Cordis | Branch: H2020 | Program: RIA | Phase: ICT-03-2014 | Award Amount: 4.09M | Year: 2015

The main objective is to develop an innovative large area distributed sensor network integrating transparent thin film thermoelectric devices and sensors for multifunctional smart windows and flexible high impact volume applications. Different breakthrough concepts are proposed: 1) large area high performance transparent thermoelectric thin films deposited on flexible substrates for thermal energy harvesting; 2) low cost high throughput thin film thermal sensors for thermal mapping and gesture sensing; 3) flexible smart windows and walls with energy harvesting, environmental sensing and wireless communication functionalities. The developed technology aims to demonstrate the functionalities of a smart window able to measure air quality and environmental parameters such as temperature, sun radiation and humidity. The data is automatically collected and can be utilized for controlling heating, cooling and ventilation systems of indoors. Active radio interface enables long range communication and long term data collection with WiFi or a similar base station. The proposed concept of smart windows replaces several conventional sensors with a distributed sensor network that is integrated invisibly into windows. In addition to the power generated from the thermal energy harvesting, the thermoelectric elements (TE) are also used as temperature sensors that, while being distributed over large area, enable thermal mapping of the area instead of just one or a few values measured from particular points. This smart window can be produced on glass, but the final goal will be the fabrication on transparent flexible organic substrates using Roll to Roll Atomic Layer Deposition (R2R ALD), that can be fixed or retrofitted on existing windows or walls, which will significantly broaden the field of applications and improve business opportunities. High environmental impact is expected with savings of more than 25% of the electrical usage of residential homes and office buildings.

Systems, methods and computer-readable storage media for profiling software and providing migration effort estimations are described. A software profiling system may be configured to receive code for an application that executes in a first computing environment and analyze the code to determine efforts associated with migrating the application to execute in one or more second computing environments. For instance, the software profiling system may be configured to determine the migration efforts for migrating a software application that operates in a non-cloud computing environment to a cloud computing environment. The software profiling system may generate transformation points that serve as estimation units for solving anomalies identified to bring various aspects of the application into conformance with one or more of the second computing environments. The transformation points may be used to determine an overall migration effort for migrating the application to one or more of the second computing environments.

Technology Partners | Date: 2015-12-11

A method of cleaning compact wastewater concentrator cleans accreted salts from inner surfaces of a compact wastewater concentrator having a demister including mist eliminators. The method of cleaning is simple and quick and eliminates a majority of accreted salts by re-dissolving the salts in relatively dilute process water.

Methods, systems, and/or apparatuses for treating wastewater produced at a thermoelectric power plant, other industrial plants, and/or other industrial sources are disclosed. The wastewater is directed through a wastewater concentrator including a direct contact adiabatic concentration system. A stream of hot feed gases is directed through the wastewater concentrator. The wastewater concentrator mixes the hot feed gases directly with the wastewater and evaporates water vapor from the wastewater. The wastewater concentrator separates the water vapor from remaining concentrated wastewater. A contained air-water interface liquid evaporator may be arranged to pre-process the wastewater before being treated by the wastewater concentrator.

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