A method includes providing a length of pipeline that has a housing defining a central bore extending the length of the pipe and a space formed within the housing and extending the length of the pipe. At least one condition within the space is continuously monitored within the space to detect in real time if a change in the housing occurs.

A method includes providing a length of pipeline that has a housing defining a central bore extending the length of the pipe and a space formed within the housing and extending the length of the pipe. At least one condition within the space is continuously monitored within the space to detect in real time if a change in the housing occurs.

A piping apparatus includes an exhaust pipe providing a passage through which the exhaust gas discharged, and a harmful gas treatment device positioned between a rear end of the vacuum pump and a front end of the exhaust pipe or positioned on the exhaust pipe, wherein the harmful gas treatment device includes a heating means for increasing the temperature of the exhaust gas so as to prevent a sublimable component, from among components included in the exhaust gas, from being sublimated and accumulated inside the exhaust pipe, and the heating means is positioned on a section including a sublimation condition occurrence point, at which a sublimation condition of the sublimable component occurs, and an upstream side of the sublimation condition occurrence point on the exhaust pipe, and the sublimation condition is a temperature condition for the pressure of the sublimable component.

A piping apparatus includes an exhaust pipe providing a passage through which the exhaust gas discharged, and a harmful gas treatment device positioned between a rear end of the vacuum pump and a front end of the exhaust pipe or positioned on the exhaust pipe, wherein the harmful gas treatment device includes a heating means for increasing the temperature of the exhaust gas so as to prevent a sublimable component, from among components included in the exhaust gas, from being sublimated and accumulated inside the exhaust pipe, and the heating means is positioned on a section including a sublimation condition occurrence point, at which a sublimation condition of the sublimable component occurs, and an upstream side of the sublimation condition occurrence point on the exhaust pipe, and the sublimation condition is a temperature condition for the pressure of the sublimable component.

Systems and methods for determining a boiling point distribution of a sample include controlling the rates of temperature increase for a column and an injection port. An analyzer includes a column having a column heating element and an injection port having an injection port heating element. The temperature of the column can be increased at a first rate, and a temperature of the injection port can be increased at a second rate. The first and second rates are selected such that the temperature of the injection port is within about five to fifteen degrees Celsius of the temperature of the column when the temperature of the injection port reaches a target temperature of minimal thermal decomposition.

A system can train a machine learning model to predict one or more properties of a molecule. The one or more properties may include a temperature of fusion and/or an entropy of fusion. The machine learning model can be trained based on a sample of molecules from a plurality of molecules. The system can apply the machine learning model to the plurality of molecules to predict the one or more properties for molecules of the plurality of molecules. The system can determine a plurality of candidate molecules from the plurality of molecules. The plurality of candidate molecules may be determined based on the one or more properties predicted for molecules of the plurality of molecules. The system can determine a target molecule of the plurality of candidate molecules to implement in a refrigeration system.

A system can train a machine learning model to predict one or more properties of a molecule. The one or more properties may include a temperature of fusion and/or an entropy of fusion. The machine learning model can be trained based on a sample of molecules from a plurality of molecules. The system can apply the machine learning model to the plurality of molecules to predict the one or more properties for molecules of the plurality of molecules. The system can determine a plurality of candidate molecules from the plurality of molecules. The plurality of candidate molecules may be determined based on the one or more properties predicted for molecules of the plurality of molecules. The system can determine a target molecule of the plurality of candidate molecules to implement in a refrigeration system.

A system for measuring glass transition temperature of a polymer can include a cell having a closed bottom and a peripheral wall extending from the bottom, a sample holder having a first supporting pin and a second supporting pin spaced apart from the first supporting pin, a loading probe in the cell for selectively contacting a polymer sample disposed on the sample holder, a temperature probe in the cell, a heater in the cell, a temperature sensor, a source of pressure, a source of gas in communication with the cell, and a data acquisition system operably connected to the loading probe, the temperature probe and the source of pressure. The first and second supporting pins and the loading probe in the cell provide a three-point flexural bending assembly for measuring bending of the polymer sample under varied conditions of temperature and pressure in the presence of a gas.

Methods including: measuring a mid and/or near Fourier-transform infrared (FTIR) and/or Raman spectrum of a hydrocarbon fluid; determining an estimated cold filter plugging point (CFPP) for the hydrocarbon fluid using a vibrational spectroscopy-CFPP correlation model; and treating the hydrocarbon fluid to cause a change in the estimated CFPP. In some cases, the treating of the hydrocarbon fluid comprises: adding a flow improver to the hydrocarbon fluid.

Provided is a method of evaluating a resin capable of quantitatively evaluating a deterioration degree of the resin with high accuracy and ease. The method includes evaluating the resin based on a shift of a characteristic peak representing a deterioration degree of the resin, the peak being observed in thermal analysis of the resin by a temperature increase, to lower temperatures.