Patent classifications
B01J2219/00195
Advanced Quality Control Tools for Manufacturing Bimodal and Multimodal Polyethylene Resins
A method of determining multimodal polyethylene quality comprising the steps of (a) providing a multimodal polyethylene resin sample; (b) determining, in any sequence, the following: that the multimodal polyethylene resin sample has a melt index within 30% of a target melt index; that the multimodal polyethylene resin sample has a density within 2.5% of a target density; that the multimodal polyethylene resin sample has a dynamic viscosity deviation (% MVD) from a target dynamic viscosity of less than about 100%; that the multimodal polyethylene resin sample has a weight average molecular weight (M.sub.w) deviation (% M.sub.wD) from a target M.sub.w of less than about 20%; and that the multimodal polyethylene resin sample has a gel permeation chromatography (GPC) curve profile deviation (% GPCD) from a target GPC curve profile of less than about 15%; and (c) responsive to step (b), designating the multimodal polyethylene resin sample as a high quality resin.
Fuel reform apparatus
Fuel reform apparatus includes: internal combustion engine including injector and configured so that compression-ignition combustion is carried out in combustion chamber; reform unit interposed in fuel supply path from fuel tank to injector and including reformer reforming fuel stored in fuel tank by oxidation reaction; ignition timing detector detecting ignition timing of fuel in combustion chamber; and controller including CPU and memory. Controller performs: determining whether fuel has been supplied into fuel tank; determining whether reforming is needed based on ignition timing when it is determined that fuel has been supplied; controlling operation of reform unit so as to reform fuel stored in fuel tank to supply to injector when it is determined that reforming is needed; and controlling operation of reform unit so as to supply fuel stored in fuel tank to injector without reforming when it is determined that reforming is not needed.
PREDICTIVE SYSTEMS AND METHODS FOR PROACTIVE INTERVENTION IN CHEMICAL PROCESSES
Various embodiments of the present disclosure relate to proactive dosing optimization chemical feed units producing an output solution (such as an oxidizing biocide) therefrom. Online sensors generate signals corresponding to directly measured variables for respective process components. Information is selectively retrieved from models relating combinations of input variables to respective industrial process states, wherein various current process states may be indirectly determined based on directly measured variables for respective system components. An output feedback signal is automatically generated corresponding to a detected intervention event based on the indirectly determined process state. A controller may receive the signal and implement, e.g., regulation of oxidizing biocide feed for optimization of end products and/or performance metrics.
Advanced Quality Control Tools for Manufacturing Bimodal and Multimodal Polyethylene Resins
A method of determining multimodal polyethylene quality comprising the steps of (a) providing a multimodal polyethylene resin sample; (b) determining, in any sequence, the following: that the multimodal polyethylene resin sample has a melt index within 30% of a target melt index; that the multimodal polyethylene resin sample has a density within 2.5% of a target density; that the multimodal polyethylene resin sample has a dynamic viscosity deviation (% MVD) from a target dynamic viscosity of less than about 100%; that the multimodal polyethylene resin sample has a weight average molecular weight (M.sub.w) deviation (% M.sub.wD) from a target M.sub.w of less than about 20%; and that the multimodal polyethylene resin sample has a gel permeation chromatography (GPC) curve profile deviation (% GPCD) from a target GPC curve profile of less than about 15%; and (c) responsive to step (b), designating the multimodal polyethylene resin sample as a high quality resin.
Advanced quality control tools for manufacturing bimodal and multimodal polyethylene resins
A method of determining multimodal polyethylene quality comprising the steps of (a) providing a multimodal polyethylene resin sample; (b) determining, in any sequence, the following: that the multimodal polyethylene resin sample has a melt index within 30% of a target melt index; that the multimodal polyethylene resin sample has a density within 2.5% of a target density; that the multimodal polyethylene resin sample has a dynamic viscosity deviation (% MVD) from a target dynamic viscosity of less than about 100%; that the multimodal polyethylene resin sample has a weight average molecular weight (M.sub.w) deviation (% M.sub.wD) from a target M.sub.w of less than about 20%; and that the multimodal polyethylene resin sample has a gel permeation chromatography (GPC) curve profile deviation (% GPCD) from a target GPC curve profile of less than about 15%; and (c) responsive to step (b), designating the multimodal polyethylene resin sample as a high quality resin.
Method and apparatus for heat treating feedstock powder
Disclosed are methods and apparatuses for processing a powder alloy to improve its microstructure. The methods for processing the powder alloy can include introducing the powder alloy into a powder vessel having an inert atmosphere, uniformly heat treating the powder alloy inside the powder vessel at its solutionizing temperature, and cooling the heat treated powder alloy at a rate of at least 5° C./s to form treated particles. The treated particles obtained from the methods and apparatuses disclosed herein can be used in any suitable manufacturing process, such as in cold gas dynamic spray.
PERFORMIC ACID PRODUCTION SYSTEMS AND METHODS
Systems for producing performic acid and methods for producing performic acid. The systems may include two or more reactor units, two or more servient programmable logic controllers, a control panel, and a master programmable logic controller. The system may modify the production of performic acid in at least one of the two or more reactor units upon and/or after the occurrence of a disruptive event in order to maintain a desired level of performic acid production and/or a desired level of disinfection.
Design of an Ethylene Oligomerization/Trimerization/Tetramerization Reactor
A process includes periodically or continuously introducing an olefin monomer and periodically or continuously introducing a catalyst system or catalyst system components into a reaction mixture within a reaction system, oligomerizing the olefin monomer within the reaction mixture to form an oligomer product, and periodically or continuously discharging a reaction system effluent comprising the oligomer product from the reaction system. The reaction system includes a total reaction mixture volume and a heat exchanged portion of the reaction system comprising a heat exchanged reaction mixture volume and a total heat exchanged surface area providing indirect contact between the reaction mixture and a heat exchange medium. A ratio of the total heat exchanged surface area to the total reaction mixture volume within the reaction system is in a range from 0.75 in.sup.−1 to 5 in.sup.−1, and an oligomer product discharge rate from the reaction system is between 1.0 (lb)(hr.sup.−1)(gal.sup.−1) to 6.0 (lb)(hr.sup.−1)(gal.sup.−1).
Fluid regulation apparatus and method
A fuel composition and fluid regulation apparatus are provided for an improved fuel composition and distribution. The fuel composition may include or relate to a fluid regulation apparatus, flow component, electronic controller, regulator covers, roller clip mechanism, filling head, feeder stem and distributor. A method to operate an improved fuel composition and/or fluid regulation apparatus is also provided.
METHOD AND APPARATUS FOR THE RAPID DISCOVERY AND DESIGN OF POLYMERIZATIONS
A reactor system includes at least one reactant provided to perform a reaction. The system includes one or more sensors configured to detect sensor data regarding the reaction. The system includes processing circuitry configured to receive the sensor data from the one or more sensors, apply one or more machine learning models to the sensor data to generate a measurement regarding at least one of the reaction or an activity of at least one catalyst used to perform the reaction, and control at least one of a temperature of the reactor, a flow rate of the at least one reactant, or a concentration of the at least one reactant responsive to the measurement.