Jordan Valley Applied Radiation Ltd.

Other

Jordan Valley Semiconductors Ltd.

Surplus Management, Inc

Dileep Kumar Agnihotri

Boris Yokhin

David Berman

Alex Dikopoltsev

Isaac Mazor

Asher Peled

Hua Li

Alexander Krokhmal

Alex Tokar

Tzachi Rafaeli

Alexander Tokar

John Joseph Barelli

Masoud Aghajani

Joseph John Barelli

Ian Tonner

Jeremy O'Dell

Sriram Sambasivam

Xiaofei Huang

Moshe Beylin

Tachi Rafaeli

A novel reverse osmosis or nanofiltration system (RO/NF) capable of detecting and responding to onset of fouling within the system utilizing uniquely configured membrane permeate flow path within the system which generates a time-sensitive data. Membrane performance data in real-time operating conditions is then utilized for rapid detection of membrane fouling, fouling rate, and cause of fouling, followed by controller-based system generated actions to stop, and recover from fouling or slow-down fouling, and, if required, to predict, plan, and schedule operator intervention steps to recover optimum system operating conditions. The end-result is a novel energy-efficient and fouling-managed advanced (machine learning) reverse osmosis system for brackish water desalination.

Membrane based in-line fouling monitor for performance tracking in reverse osmosis and Nano-filtration systems

A novel multi-stage reverse osmosis system is proposed that allows for following benefits &#x2014;a) reduction in pressure-loss while achieving optimum cross-flow velocities and therefore reducing energy consumption of 4-10%; &#x2014;b) increased flux balance between stages resulting in reduced fouling of the first stage; &#x2014;c) disruption of scale forming conditions resulting in reduced scaling of the last stage; &#x2014;d) reduction in scale potential of the concentrate valve; &#x2014;e) reduction in downtime for CIP by proactively disrupting scaling or fouling through several innovative methods; &#x2014;f) ease-of and effectiveness-of CIP with reduced number of valves and &#x2014;g) to keep system operational via isolation of the last stage for maintenance while the keeping remaining system in production mode. All the above improvements are achieved with process-flow and operational characteristics defined in the Specifications and Claims.

Energy efficient low-fouling high-recovery reverse osmosis system for brackish water desalination

An open architecture desalination system having a field of water desalination using porous micro filtration or ultrafiltration (MF or UF) membranes followed by high pressure reverse osmosis (RO) membranes for salt removal. A novel integrated system with a unique process flow allowing use of multiple UF and MF membrane configurations on same platform is also disclosed. Additionally, the systemutilizes a noble process flow to enable high efficiency operation of the MF and UF membranes thus reducing footprint, longer life of the membranes and reduced energy.

Integrated ultrafiltration and reverse osmosis desalination systems

A membrane with rejection properties for mono and divalent-salts, BOD and COD good resistance to cleaning chemicals and maintaining high permeability for water. A polymeric coating prepared from polydopamine or hydroquinone or catechol or mixtures thereof, is deposited. In another embodiment, coating process steps and conditions are taught to achieve thickness control to tune the rejection properties of the membranes.

Membranes with polydopamine coatings

A method for inspection of a sample includes directing an excitation beam to impinge on an area of a planar sample that includes a feature having sidewalls perpendicular to a plane of the sample, the sidewalls having a thin film thereon. An intensity of X-ray fluorescence (XRF) emitted from the sample responsively to the excitation beam is measured, and a thickness of the thin film on the sidewalls is assessed based on the intensity. In another method, the width of recesses in a surface layer of a sample and the thickness of a material deposited in the recesses after polishing are assessed using XRF.

Accurate measurement of layer dimensions using XRF

A method for analyzing a sample includes directing one or more beams of X-rays to impinge on an area of a surface of the sample on which a layer of nano-particles of a selected element has been formed. Secondary X-ray radiation from the area is detected responsively to the one or more beams. A distribution of the nano-particles on the surface is characterized based on the detected radiation.

X-ray measurement of properties of nano-particles

The computer-implemented method for inspection of a sample includes defining a plurality of locations on a surface of the sample, irradiating the surface at each of the locations with a beam of X-rays, and measuring an angular distribution of the X-rays that are emitted from the surface responsively to the beam, so as to produce a respective plurality of X-ray spectra. The X-ray spectra are analyzed to produce respective figures-of-merit indicative of a measurement quality of the X-ray spectra at the respective location. One or more locations are selected out of the plurality of locations responsively to the figures-of-merit, and a property of the sample is estimated using the X-ray spectra measured at the selected location.

Automated selection of X-ray reflectometry measurement locations

A method for inspection of a sample includes irradiating the sample with a beam of X-rays and measuring a distribution of the X-rays that are emitted from the sample responsively to the beam, thereby generating an X-ray spectrum. An assessment is made of an effect on the spectrum of a non-uniformity of the beam, and the spectrum is corrected responsively to the effect.

Calibration of X-ray reflectometry system

A method for inspection of a sample that includes a first layer having a known reflectance property and a second layer formed over the first layer. The method includes directing radiation toward a surface of the sample and sensing the radiation reflected from the surface so as to generate a reflectance signal as a function of elevation angle relative to the surface. A feature due to reflection of the radiation from the first layer is identified in the reflectance signal. The reflectance signal is calibrated responsively to the identified feature and to the known reflectance property of the first layer. The calibrated reflectance signal is analyzed to determine a characteristic of the second layer. Other enhanced inspection methods are disclosed, as well.

X-ray reflectometry of thin film layers with enhanced accuracy

A method for inspection of a sample includes irradiating the sample with a beam of X-rays, measuring a distribution of the X-rays that are emitted from the sample responsively to the beam, thereby generating an X-ray spectrum, and applying a multi-step analysis to the spectrum so as to determine one or more physical properties of a simulated model of the sample. The multi-step analysis includes spectrally analyzing the spectrum so as to determine one or more characteristic frequencies and fitting the simulated model to the spectrum by an iterative optimization process beginning from an initial condition determined by the one or more characteristic frequencies.

Growing community of inventors

Austin, TX, United States of America

Dileep Kumar Agnihotri