

FOLLOWUS
State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Qingdao 266580, China
Beijing Key Laboratory of Solid State Battery and Energy Storage Process, State Key Laboratory of Mesoscience and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China
School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
Corresponding authors. E-mail addresses: xpzhang@ipe.ac.cn (X. Zhang)
Corresponding authors. E-mail addresses: yangch@upc.edu.cn (C. Yang).
Received:16 June 2025,
Revised:2025-09-11,
Accepted:12 September 2025,
Online First:30 October 2025,
Published:2026-02
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Zhang Junping, Chen Songsong, Cao Shasha, et al. Isobaric vapor—liquid equilibrium for the binary system of methyl propionate and methyl methacrylate at 90.0, 75.0, 60.0, 45.0 and 30.0kPa[J]. Chinese Journal of Chemical Engineering, 2026, 90(2): 272-282.
Based on the requirements for the separation process of methyl methacrylate (MMA) production
thermodynamic behavior related to MMA was systematically studied. Isobaric vapor—liquid equilibrium (VLE) data for the binary system of methyl propionate and MMA at 90.0
75.0
60.0
45.0 and 30.0 kPa were measured by a modified Rose equilibrium still at temperatures ranging from 319.4 K to 372.2 K. The accuracy of the VLE data is validated using the Herington area test and the Fredenslund point test. The experimental results were correlated using the non-random two liquid
Wilson and universal quasichemical (UNIQUAC) thermodynamic models. The binary interaction parameters for each model were determined by employing a maximum likelihood objective function for optimization. All three models exhibited a high degree of correlation with the experimental data. The results provide valuable insights for the design and optimization of the separation process in MMA production. The results show that the model with fitted parameters has a reduction of more than 38% in total equipment investment cost compared to the UNIFAC model
indicating that the correction of VLE parameters has practical application value in guiding process design and production.
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