title: A physics-based temperature model for ultrasonic vibration-assisted pelleting of cellulosic biomass.
abstract: Temperature in ultrasonic vibration-assisted (UV-A) pelleting of cellulosic biomass has a significant impact on pellet quality. However, there are no reports on temperature models for UV-A pelleting of cellulosic biomass. The development of a physics-based temperature model can help to explain experimentally determined relations between UV-A pelleting process variables and temperature, and provide guidelines to optimize these process variables in order to produce pellets of good quality. This paper presents such a model for UV-A pelleting of cellulosic biomass. Development of the model is described first. Then temperature distribution is investigated using the model, and temperature difference between the top and the bottom surfaces of a pellet is explained. Based on this model, relations between process variables (ultrasonic power and pelleting duration) and temperature are predicted. Experiments were conducted for model verification, and the results agreed well with model predictions.
authors.affiliation: Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA.
authors.forename: Xiaoxu
authors.initials: X
authors.lastname: Song
authors.affiliation: Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA.
authors.forename: Xiaoming
authors.initials: X
authors.lastname: Yu
authors.affiliation: Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA. Electronic address: meng@ksu.edu.
authors.forename: Meng
authors.initials: M
authors.lastname: Zhang
authors.affiliation: Department of Industrial and Manufacturing Systems Engineering, Kansas State University, Manhattan, KS 66506, USA.
authors.forename: Z J
authors.initials: ZJ
authors.lastname: Pei
authors.affiliation: Department of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS 66506, USA.
authors.forename: Donghai
authors.initials: D
authors.lastname: Wang
mesh_terms: D018533:Biomass; D002482:Cellulose / Q000737:chemistry*; D004735:Energy Transfer; D004867:Equipment Design; D008962:Models, Theoretical; D035261:Plant Components, Aerial / Q000737:chemistry*; D013010:Sonication / Q000295:instrumentation / Q000379:methods*; D013696:Temperature; D014908:Triticum / Q000737:chemistry*; D014732:Vibration
chemical_list: D002482:Cellulose
keywords: Cellulosic biomass; Predictive model; Temperature; Ultrasonic power; Ultrasonic vibration-assisted pelleting