The present disclosure provides methods and systems for foam control. A method of foam control for a fermentation system comprises: obtaining image data from an imaging device located at the fermentation system; and processing said sensor data using a trained machine learning algorithm to generate an output that indicates presence of foam or level of foaming.

The present disclosure provides methods and systems for foam control. A method of foam control for a fermentation system comprises: obtaining image data from an imaging device located at the fermentation system; and processing said sensor data using a trained machine learning algorithm to generate an output that indicates presence of foam or level of foaming.

In one embodiment, a pipeline interchange is described where a first product flows through a first pipeline and a second product flows through a second pipeline. A pipeline interchange is connected downstream to both the first pipeline and the second pipeline, wherein the pipeline interchange blends the first product flowing through the first pipeline with the second product flowing through the second pipeline. A third pipeline is connected downstream to the pipeline interchange, wherein the third pipeline flows a blended product created from the blending of the first product and the second product in the pipeline interchange. An automated analyzer can be situated downstream of the pipeline interchange capable of physical and/or chemically analyzing the blended product and generating blended data. A data analyzer is also positioned to interpret the blended data and communicate adjustments to the flow of both the first product and the second product to achieve desired physical and/or chemical characteristics in the blended product.

In one embodiment, a process is taught where the process begins by flowing a first product through a first pipeline and flowing a second product through a second pipeline. The process then produces a blended product by mixing both the first product and the second product within a pipeline interchange which is connected downstream to both the first pipeline and the second pipeline. The blended product then flows from the pipeline interchange to a third pipeline that is connected downstream of pipeline interchange. The blended product is analyzed in the third pipeline with an automated analyzer that is capable of physical and/or chemically analyzing the blended product in the third pipeline and generating blended data. The blended data is then interpreted in a data analyzer by comparing the physical and/or chemical characteristics of the blended data to an optimal blended data and determining the adjustments in the flow of the first product and the flow of the second product to achieve optimal blended data from the blended product. The adjustments are then communicated to adjust the flow of the first product in the first pipeline and the flow of the second product in the second pipeline.

In one embodiment, a process is taught where the process begins by flowing a first product through a first pipeline and flowing a second product through a second pipeline. In this embodiment, the first product in the first pipeline is analyzed with a first product automated analyzer that is capable of physical and/or chemically analyzing the first product in the first pipeline and generating a first product data. Additionally, in this embodiment, the second product in the second pipeline is analyzed with a second product automated analyzer that is capable of physical and/or chemically analyzing the second product in the second pipeline and generating a second product data. The process then produces a blended product by mixing both the first product and the second product within a pipeline interchange which is connected downstream to both the first pipeline and the second pipeline. The blended product then flows from the pipeline interchange to a third pipeline that is connected downstream of pipeline interchange. The first product data and the second product data is then interpreted in a data analyzer by comparing the physical and/or chemical characteristics of the physical and/or chemical characteristics of the first data to an optimal first data and the physical and/or chemical characteristics of the second data to an optimal second data. The data analyzer then determines the adjustments in the flow of the first product and the flow of the second product to achieve optimal blended data from the blended product. The adjustments are then communicated to adjust the flow of the first product in the first pipeline and the flow of the second product in the second pipeline.

A system may be configured to monitor an amount of a gas species in a processing chamber using Optical Emission Spectrometry. The gas measurement may be provided as feedback to a control process that generates a target setpoint for a gas flow controller into the process chamber. This real-time process may increase/decrease the flow rate of the gas in order to maintain a process deposition mode within a transition region between primarily metallic deposition and primarily compound deposition.

The invention provides a method for enriching diluents with butane so as not to violate pre-defined limits for liquid hydrocarbon fuels with respect to density, volatility and low density hydrocarbon content.

The invention provides a method for enriching diluents with butane so as not to violate pre-defined limits for liquid hydrocarbon fuels with respect to density, volatility and low density hydrocarbon content.

A dispensing system for dispensing hot melt adhesive foam onto a substrate is described. The dispensing system comprises a pump having a first input to receive a hot melt adhesive and a second input to receive a gas, where the pump mixes the hot melt adhesive and the gas to produce a solution and pump the solution at a volumetric flow rate. The dispensing system also includes a valve to control an amount of the gas provided to the pump from the second input, a flow meter to measure the volumetric flow rate of the solution pumped by the pump, and a dispenser to receive the solution from the pump and dispense the solution to create the hot melt adhesive foam.

A system and a method for on-chip dilution of a calibration solution are provided. An exemplary system includes a microfluidic ejector chip. The microfluidic ejector chip includes a calibration reservoir to contain a calibration standard and a dilution reservoir to contain a dilution solvent. A first fluid control device couples the calibration reservoir to a mixing chamber, and a second fluid control device couples a dilution reservoir to the mixing chamber. The mixing chamber is fluidically coupled to a microfluidic ejector.