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 method for minimizing the amount of catalyst inactivating agent that is present in a liquid fraction recovered from a slurry-based polymer production process, the liquid fraction comprising diluent used in the polymer production process, is disclosed. The method includes steps for controlling the pressure over the liquid fraction collected during diluent recovery so as to minimize the concentration of catalyst inactivating agent that is retained in the recovered liquid fraction. Embodiments of apparatus suitable for conducting the disclosed method are also provided.

A calcium reaction control method and device, which can adjust the input amount of carbon dioxide gas inputted into the calcium reactor according to the measurement of the concentration of carbonate ions in the solution to be tested, and input the calcium reaction water from the calcium reactor into the water tank to provide the required carbonate ion concentration in the water tank. By means of the present invention, the amount of carbon dioxide input and the amount of calcium reaction water can be controlled, which can improve the control accuracy and ease of use.

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.

Systems and methods generally involve processing a gaseous reducing agent and a gaseous reforming agent to produce syngas in the presence of a stable-phase change metal-oxide based oxygen carrier. During operation, an oxygen content is measured for a reactor input stream and a reactor output stream. A percent oxygen depletion of the metal oxide is determined using an initial oxygen content of the metal oxide, the oxygen content of the input stream, and the oxygen content of the output stream. Based on the percent oxygen depletion, a mole ratio of reducing gas to oxidant in the input stream may be adjusted accordingly.

The present teachings relate to a method for monitoring and/or controlling a production process for manufacturing at least one industrial product at an industrial plant comprising at least one equipment by processing at least one input, the method comprising: receiving, via an input inter-face, real-time process data from the equipment; determining, via the computing unit, a subset of the real-time process data; providing as output data the subset of the real-time process data. The present teachings also relate to a system, a use, and a software product.

A polyester with ultra-high flowability and good stability over time is provided. The polyester can be polybutylene terephthalate (PBT) or another aliphatic polyester, whose intrinsic viscosity (IV) is less than 0.6 dL/g and a carboxylic end group (CEG) content is 15 meq/kg or less, and characterized by having a melt volume rate (MVR) of greater than 400 cm.sup.3/10 min at 250° C. A resin composition of this polyester is provided, which can be meltblown into microfibers of a uniform diameter and a concentrated diameter distribution, forming a fabric with a uniform small pore size.

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 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 polyester with ultra-high flowability and good stability over time is provided. The polyester can be polybutylene terephthalate (PBT) or another aliphatic polyester, whose intrinsic viscosity (IV) is less than 0.6 dL/g and a carboxylic end group (CEG) content is 15 meq/kg or less, and characterized by having a melt volume rate (MVR) of greater than 400 cm.sup.3/10 min at 250° C. A resin composition of this polyester is provided, which can be meltblown into microfibers of a uniform diameter and a concentrated diameter distribution, forming a fabric with a uniform small pore size.