2022
DOI: 10.1016/j.cjche.2022.08.015
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Progress of polymer reaction engineering: From process engineering to product engineering

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Cited by 13 publications
(5 citation statements)
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“…Therefore, the energy is recoverable elastic energy at this stage. In addition, the dissipated energy of the CSTB is less than 0 at this stage, because the elastic modulus which is adopted to calculate the energy include the process of compaction [44,45].…”
Section: Energy Distribution Evolution Law Of Cstb Deformation and Fa...mentioning
confidence: 99%
“…Therefore, the energy is recoverable elastic energy at this stage. In addition, the dissipated energy of the CSTB is less than 0 at this stage, because the elastic modulus which is adopted to calculate the energy include the process of compaction [44,45].…”
Section: Energy Distribution Evolution Law Of Cstb Deformation and Fa...mentioning
confidence: 99%
“…Despite the challenges that remain, we believe that there are still numerous potentials to be explored, including but not limited to resolving the discrepancy between approximate and exact solutions of current Đ equations, extending the equations to account for other factors influencing Đ (e.g., transfer reactions, external stimuli, and operation modes), as well as discovering new applications. In the digital age that we are experiencing, analytical equations of Đ as a versatile toolbox should play a crucial role in many fields in the polymer engineering community. For instance, a reliable analytical solution can serve as a benchmark to validate the newly developed kinetic models beyond experimental observations. Combining analytical Đ equations with other numerical algorithms can be implemented to build computer-aided autonomous experimental platforms for rationally tailoring the MMD and Đ of the products. In this aspect, analytical Đ equations serve as varying parameters or codes to describe the time-dependent average molar mass properties to ensure highly precise polymer synthesis.…”
Section: Conclusion and Perspectivementioning
confidence: 99%
“…The two-phase MoM modeling will be compared in the future with Monte Carlo modeling tools and will further facilitate deterministic model prediction involving morphological variations, as well as drive the innovation of modeling tools in polymer reaction engineering. 52,53 Specifically, it is the goal to also cover higher yield deterministic modeling by inputting Monte Carlo results with higher level of detail. Model reduction can then be applied in view of application at the plant scale.…”
Section: Effect Of Initial Reaction Conditions On the Phase Inversion...mentioning
confidence: 99%