Optimization of pelleting parameters for producing composite pellets using agricultural and agro-processing wastes by Taguchi-Grey relational analysis
作者机构:Natural SciencesAims Community CollegeGreeleyCO 80634USA College of AgricultureEngineering and TechnologyArkansas State UniversityState UniversityJonesboroAR 72467USA
出 版 物:《Carbon Resources Conversion》 (碳资源转化(英文))
年 卷 期:2020年第3卷第1期
页 面:104-111页
核心收录:
学科分类:08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 080502[工学-材料学]
基 金:Arkansas State University Environmental Science Program
主 题:Agricultural waste Crop residues Optimization Pelletization Grey relational analysis Taguchi analysis Agricultural waste management Resource conversions and conservation Waste conversion into resource
摘 要:Agricultural and agro-processing sector produces large stream of by-products that are either discarded or are *** biomass especially crop residues’potential to green energy development has been *** conditions as process variable was made a centerpiece of investigation in the present study since several parameters in the feedstock mixture come into interplay during ***,binders,blending ratio,particle size,and principle feedstock material were the parameters of our interest in finding their effect on physical and thermochemical *** is also an endeavor to investigate low cost binder options in producing composite pellets of high quality.A Taguchi L9 orthogonal array experimental design was employed and Taguchi based Grey relational analysis was performed to determine the best combinatorial optimization of factor levels settings for producing best *** optimal parameter level settings for pelletization was determined to be 3.18 mm wheat feedstock material blended with pine shavings at 60/40 *** analysis of variance(ANOVA)was conducted to identify the contribution of each *** magnitude of the significant impacts of parameters on performance characteristics were in the order of binderblend ratiogrindfeedstock *** also showed that the physico-chemical characteristics of the pellets were concomitant with the proportion of ingredients or recipes in a blend.