Cellulosic ethanol is an attractive alternative to petroleum-based liquid transportation fuels. However, low density of cellulosic biomass (the feedstock for cellulosic ethanol) causes high costs in biomass logistics and hinders large-scale and cost-effective manufacturing of cellulosic ethanol. Ultrasonic vibration-assisted (UV-A) pelleting can significantly increase the density of cellulosic biomass by compressing raw cellulosic biomass into pellets. Pellet density and durability are two important physical properties of a pellet. In this study, a multiple response surface methodology was employed to optimize the input variables (pelleting time, pressure, and ultrasonic power) in UV-A pelleting of sorghum stalks for simultaneously maximized pellet density and durability. Second-order polynomial models were used to fit the experimental results. Main and interaction effects of the input variables on pellet density and durability were also investigated.
- Manufacturing Engineering Division
Optimization of Input Variables in Ultrasonic Vibration-Assisted Pelleting of Cellulosic Biomass Using Multiple Response Surface Methodology
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Zhang, Q, Zhang, P, Chang, S, Pei, ZJ, & Wang, D. "Optimization of Input Variables in Ultrasonic Vibration-Assisted Pelleting of Cellulosic Biomass Using Multiple Response Surface Methodology." Proceedings of the ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. Volume 2: Systems; Micro and Nano Technologies; Sustainable Manufacturing. Madison, Wisconsin, USA. June 10–14, 2013. V002T02A011. ASME. https://doi.org/10.1115/MSEC2013-1044
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