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- W4308927401 abstract "The performance requirement for nonlinear simulation of an industrial process is especially important when used in an operator training simulator (OTS), which is usually integrated with an emulator of a distributed control system (DCS). While coupled with such a DCS system, the simulator must be able to respond faster than real-time to process variations and upsets. Without such performance requirement, model fidelity will suffer and the simulator may fail to predict dangerous process conditions or warnings. In this paper, we address the performance issue by introducing a predictive approximation of physical properties based on the concept of a squeeze functional. Proof of accuracy and computational performance enhancement are given by examples, including simulation of a polyethylene synthesis process using the PC-SAFT model and an olefin metathesis process using NRTL model." @default.
- W4308927401 created "2022-11-19" @default.
- W4308927401 creator A5031562756 @default.
- W4308927401 date "2023-02-01" @default.
- W4308927401 modified "2023-09-25" @default.
- W4308927401 title "A predictive approximation based on squeeze functional in solving nonlinear simulation problem" @default.
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- W4308927401 doi "https://doi.org/10.1016/j.fluid.2022.113665" @default.
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