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.

A reactor as a heat treatment device includes heat transfer structures removably placed in first flow channels, a first information acquisition unit connected to the inlet side of the first flow channels to acquire information for specifying a temperature and a flow rate of the first fluid which are reference conditions after lapses of time, a second information acquisition unit connected to the outlet side of the first flow channels to acquire the information for specifying the temperature of the first fluid after each lapse of time, and a control unit that calculates a heat exchange amount after each lapse of time in accordance with the temperature and the flow rate specified according to the information acquired by the first information acquisition unit and the second information acquisition unit, so as to estimate a service life of the heat transfer structures in accordance with the heat exchange amount.

System and methods for plasma treatment of a fluidized bed of particles are disclosed. The systems include an energy coupling zone configured to generate a plasma from microwave radiation and an interface element configured to propagate the plasma from the energy coupling zone to a reaction zone. The reaction zone is configured to receive the plasma, receive a plurality of reactant particles in a fluidization plane direction from a fluidization assembly positioned below the reaction zone, and form a product in presence of the plasma. The fluidization plane is substantially perpendicular to the propagated plasma.

The present invention relates to a computer-implemented method for monitoring and/or controlling a chemical plant. Specifically, the present invention relates to a computer-implemented method for monitoring and/or controlling a physical-chemical process in a chemical plant comprising: (a) receiving sensor data related to the physical-chemical process, (b) determining at least one physical-chemical parameter by providing the sensor data to a plant model, wherein the plant model comprises a mechanistic model containing at least two equations each representing a part of the physical-chemical process and a data-driven model associated to the mechanistic model, wherein the total number of scalars as output parameters from the data-driven model is lower than the number of equations of the mechanistic model, and (c) outputting the at least one physical-chemical parameter determined by the plant model.

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.

A foam sensor device is used for monitoring foam within a vessel. The sensor (e.g. accelerometer) is encapsulated inside a water-tight, sterilizable, shell, which floats on a liquid contained. In one example, the foam sensor device includes an accelerometer for detecting and measuring rotation and movement of the foam sensor device and generates movement data based on the detected movement. During a learning or calibration process, sensor data (e.g., movement data) from the foam sensor device is analyzed and classified using machine learning and/or signal processing methods to extract features indicative of different possible foam statuses, including varying levels of foam, or no foam and generate models for the different statuses. During normal operation, the foam sensor device transmits sensor data to an analyzer containing the pre-calibrated models, which determines whether there is foam or not. Based on the foam status, a pump controller adds anti-foam solution.