TY  - CONF
AV  - none
TI  - Application of response surface methodology to investigate the effect of different variables on fusion slagging index
ID  - scholars11457
N1  - cited By 2; Conference of 6th International Conference on Environment: Empowering Environment and Sustainable Engineering Nexus Through Green Technology, ICENV 2018 ; Conference Date: 11 December 2018 Through 13 December 2018; Conference Code:149844
N2  - In this study, the effect of variables including ashing temperature (525°C - 625°C), CaO additive (0 - 4 wt) and blending ratio of rice husk blending (0 - 50 wt) for the improvement of fusion slagging index of biomass is investigated. Response surface methodology (RSM) was used to identify influential factor and predict the interaction between process variables and responses. The results demonstrate that the rice husk blending is the most significant variable for the improvement of fusion slagging index of biomass in comparison with CaO additive and ashing temperature. The optimum parameters for obtaining the highest fusion slagging index of 1470°C were obtained at ashing temperature of 575°C, rice husk blending of 50wt and without CaO additive. © 2019 Author(s).
SN  - 0094243X
PB  - American Institute of Physics Inc.
Y1  - 2019///
VL  - 2124
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070072161&doi=10.1063%2f1.5117093&partnerID=40&md5=e1a664216a637eca75c4389567e7c580
A1  - Harun, N.Y.
A1  - Jian, T.M.
A1  - Jusoh, N.
A1  - Ramli, R.M.
ER  -