Study of Carbon Black Production with Optimized Feed to Predict Product Particle Size

Hashemipour Rafsanjani, H.; Shakiba, S. A.; Javadi, A.

Study of Carbon Black Production with Optimized Feed to Predict Product Particle Size

Document Type : Research note

Authors

H. Hashemipour Rafsanjani ¹

S. A. Shakiba ²

A. Javadi ³

¹ Kerman University of Shahid Bahonar, Chemical Engineering Department, Kerman, Iran.

² Kerman University of Shahid Bahonar, Chemical Engineering Department, Kerman, Iran

³ Sharif University of Technology, Chemical Engineering Department, Tehran, Iran

Abstract

Carbon black or soot is a carbon rich material which is widely used as a modifier and filler. Usually carbon black is produced via thermal decomposition of heavy hydrocarbons. This process is too complex to be modelled fundamentally. In this study, the effect of reaction feed composition on the soot production yield was studied experimentally in a lab-scale reactor. The soot production was optimized based on feed Composition and economical aspects. The effects of reaction time and temperature on the product particle size produced using the optimized feed were also investigated experimentally. Then a semi-empirical model was developed to predict soot particle size as a function of reaction time and temperature. The model has been validated upon the experimental data successfully.

Keywords

carbon black

Mathematical Modelling

Soot Particle Size

BMCI

Feed Composition