Nonequilibrium molecular dynamics simulation (NEMD) was used to compute the viscosity of a pure polyol ester, −1 to 1010pentaerythritol tetrahexanoate (PEC6), for a broad range of strain rate (107 s s−1), temperature (258 K to 373 K), and pressure (0.1 MPa to 1 GPa). The Newtonian viscosity was obtained by fitting the viscosities at different strain rates to the Eyring model. The predicted Newtonian viscosities agree well with the experimental data with respect to temperature and pressure. The molecular dynamics simulation is pure prediction because it requires only the chemical structure as the input. Therefore, molecular dynamics can be especially useful in simulating those hypothetical...
For the successful development and application of lubricants, a full understanding of their complex ...
Machine learning-based predictive models allow rapid and reliable prediction of material properties ...
Abstract Nonequilibrium molecular dynamics (NEMD) simulations have provided unique insights into the...
The behavior of lubricants at operational conditions, such as at high pressures, is a topic of great...
The behaviour of lubricants at operational conditions, such as at high temperatures and pressures, i...
Many machine components, such as bearings and gears, operate under the so-called Thermo-Elasto-Hydro...
Many machine components, such as bearings and gears, operate under the so-called Thermo-Elasto-Hydro...
Viscosity is a crucial property of liquid lubricants, and it is theoretically a well-defined quantit...
Many machine components, such as bearings and gears, operate under the so-called Thermo-Elasto-Hydro...
Formulating and designing energy efficient polymer additives and base oil molecules is one way to re...
A new model was developed to determine viscosity and solubility of lubricant-refrigerant mixture, us...
A new model was developed to determine viscosity and solubility of lubricant-refrigerant mixture, us...
Viscosity modifiers (VMs) are high molecular weight polymers whose functionality is derived from the...
For the successful development and application of lubricants, a full understanding of their complex ...
For the successful development and application of lubricants, a full understanding of their complex ...
For the successful development and application of lubricants, a full understanding of their complex ...
Machine learning-based predictive models allow rapid and reliable prediction of material properties ...
Abstract Nonequilibrium molecular dynamics (NEMD) simulations have provided unique insights into the...
The behavior of lubricants at operational conditions, such as at high pressures, is a topic of great...
The behaviour of lubricants at operational conditions, such as at high temperatures and pressures, i...
Many machine components, such as bearings and gears, operate under the so-called Thermo-Elasto-Hydro...
Many machine components, such as bearings and gears, operate under the so-called Thermo-Elasto-Hydro...
Viscosity is a crucial property of liquid lubricants, and it is theoretically a well-defined quantit...
Many machine components, such as bearings and gears, operate under the so-called Thermo-Elasto-Hydro...
Formulating and designing energy efficient polymer additives and base oil molecules is one way to re...
A new model was developed to determine viscosity and solubility of lubricant-refrigerant mixture, us...
A new model was developed to determine viscosity and solubility of lubricant-refrigerant mixture, us...
Viscosity modifiers (VMs) are high molecular weight polymers whose functionality is derived from the...
For the successful development and application of lubricants, a full understanding of their complex ...
For the successful development and application of lubricants, a full understanding of their complex ...
For the successful development and application of lubricants, a full understanding of their complex ...
Machine learning-based predictive models allow rapid and reliable prediction of material properties ...
Abstract Nonequilibrium molecular dynamics (NEMD) simulations have provided unique insights into the...