Predictive models for characterizing the atomization process in pyrolysis of methyl ricinoleate

Xiaoning Mao; Qinglong Xie; Ying Duan; Shangzhi Yu; Xiaojiang Liang; Zhenyu Wu; Meizhen Lu; Yong Nie

doi:10.1016/j.cjche.2020.02.007

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Predictive models for characterizing the atomization process in pyrolysis of methyl ricinoleate

Fluid Dynamics and Transport Phenomena | Updated：2026-01-06

- Predictive models for characterizing the atomization process in pyrolysis of methyl ricinoleate
- Predictive models for characterizing the atomization process in pyrolysis of methyl ricinoleate
- 中国化学工程学报（英文版） 2020年28卷第4期页码：1023-1028
- Affiliations：
  
  Biodiesel Laboratory of China Petroleum and Chemical Industry Federation, Zhejiang Provincial Key Laboratory of Biofuel, and College of Chemical Engineering, Zhejiang University of Technology,Hangzhou,China,310014
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2020.02.007
  中图分类号：
- 纸质出版：2020
- Accepted：
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Xiaoning Mao, Qinglong Xie, Ying Duan, 等. Predictive models for characterizing the atomization process in pyrolysis of methyl ricinoleate[J]. 中国化学工程学报（英文版）, 2020,28(4):1023-1028.

Xiaoning Mao, Qinglong Xie, Ying Duan, Shangzhi Yu, Xiaojiang Liang, Zhenyu Wu, Meizhen Lu, Yong Nie. Predictive models for characterizing the atomization process in pyrolysis of methyl ricinoleate[J]. Chinese Journal of Chemical Engineering, 2020, 28(4): 1023-1028.
Xiaoning Mao, Qinglong Xie, Ying Duan, 等. Predictive models for characterizing the atomization process in pyrolysis of methyl ricinoleate[J]. 中国化学工程学报（英文版）, 2020,28(4):1023-1028. DOI： 10.1016/j.cjche.2020.02.007.

Xiaoning Mao, Qinglong Xie, Ying Duan, Shangzhi Yu, Xiaojiang Liang, Zhenyu Wu, Meizhen Lu, Yong Nie. Predictive models for characterizing the atomization process in pyrolysis of methyl ricinoleate[J]. Chinese Journal of Chemical Engineering, 2020, 28(4): 1023-1028. DOI： 10.1016/j.cjche.2020.02.007.

摘要

Abstract

Pyrolysis of methyl ricinoleate (MR) can produce undecylenic acid methyl ester and heptanal which are important chemicals. Atomization feeding favors the heat exchange in the pyrolysis process and hence increases the product yield. Herein

predictive models to characterize the atomization process were developed. The effect of spray distance on Sauter mean diameter (SMD) of atomized MR droplets was examined

with the optimal spray distance to be 40-50 mm. Temperature mainly affected the physical properties of feedstock

with smaller droplet size obtained at increasing temperature. In addition

pressure had significant influence on SMD and higher pressure resulted in smaller atomized droplets. Then

a model for SMD prediction

combining temperature

pressure

spray distance

and structural parameters of nozzle

was developed through dimensionless analysis. The results showed that SMD was a power function of Reynolds number (

)

Ohnesorge number (

)

and the ratio of spray distance to diameter of swirl chamber in the nozzle (

H/d

)

with the exponents of -1.6618

-1.3205 and 0.1038

respectively. The experimental measured SMD was in good agreement with th

e calculated values

with the error within ±15%. Moreover

the droplet size distribution was studied by establishing the relationship between the standard deviation of droplet size and SMD. This study could provide reference to the regulation and optimization of the atomization process in MR pyrolysis.

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