Analysis of Factors and Significances of Adsorption Kinetics R115/NaX System

doi:10.16183/j.cnki.jsjtu.2020.065

Abstract

Abstract:

To understand the adsorption kinetic mechanism of chloropentafluoroethane (R115) on NaX and then to guide the industrial applications of R115 adsorption removal and catalytic conversion, the effect of R115 concentration (referring to volume fraction) and adsorbent particle size on adsorption performance are studied by using pseudo-first-order, pseudo-second-order, and intraparticle diffusion models. The applicability of the Thomas model and Yan model for breakthrough curve analysis are compared. A two-level three-factor experimental method is implemented to evaluate the significance and possible correlations of R115 concentration, adsorbent mass, and flow rate on adsorption performance. The results indicate that the adsorption process is mainly controlled by R115 external film diffusion. The Yan model and the pseudo-first-order adsorption kinetic model fit the experimental data better. The adsorbent mass is the most important factor significantly affecting the breakthrough time, saturation time, volume of effluent treated per gram of adsorbate, and fractional bed utilization. The interaction of adsorbent mass and flow rate has a significant effect on the volume of effluent treated per gram of adsorbate.

Key words: chloropentafluoroethane, adsorption, kinetics, breakthrough curves, experimental design

CLC Number:

ZHANG Jinke, MIAO Guangwu, JIN Jiamin, CHEN Yinfei, LU Hanfeng, NING Wensheng, BAI Zhanqi, LIU Wucan. Analysis of Factors and Significances of Adsorption Kinetics R115/NaX System[J]. Journal of Shanghai Jiao Tong University, 2021, 55(9): 1071-1079.

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变量	代号	水平
变量	代号	-1	0	1
φ₀×10⁶	X	400	500	600
m/g	Y	2	5	8
Q/(mL·min^-1)	Z	15	25	35

d_p/mm	φ₀×10⁶	第一部分线性		第二部分线性
d_p/mm	φ₀×10⁶	k_id/(mg·g^-1·h^-1/2)	R²	k_id/(mg·g^-1·h^-1/2)	I/(mg·g^-1)	R²
0.39	200	4.21	0.998	1.05	7.36	0.882
0.55	200	4.45	0.998	1.09	8.87	0.900
0.55	600	13.47	0.996	3.19	24.28	0.938
0.78	200	4.71	0.997	1.30	8.50	0.920
0.78	600	13.37	0.993	2.49	26.93	0.938
1.10	200	4.71	0.998	1.38	9.00	0.917

d_p/mm	φ₀ ×10⁶	准一级模型		准二级模型
d_p/mm	φ₀ ×10⁶	k₁/h^-1	R²	k₂×10³/(g·mg^-1·h^-1)	R²	h/(mg·g^-1·h^-1)
0.39	200	0.157	0.957	2.954	0.927	1.46
0.55	200	0.144	0.981	1.893	0.939	1.47
0.55	600	0.215	0.957	2.873	0.882	4.15
0.78	200	0.151	0.981	2.288	0.935	1.47
0.78	600	0.179	0.894	3.166	0.918	4.52
1.10	200	0.131	0.984	2.020	0.951	1.51

φ₀×10⁶	d_p/mm	q_e/(mg·g^-1)	Thomas 模型			Yan模型
φ₀×10⁶	d_p/mm	q_e/(mg·g^-1)	k_TH/(mL·min^-1·mg^-1)	q_TH/(mg·g^-1)	R²	q_Y/(mg·g^-1)	a_Y	R²
200	0.39	12.159	4.52	14.02	0.993	13.29	3.57	0.995
	0.55	14.358	3.69	16.46	0.992	15.56	3.41	0.995
	0.78	15.725	3.33	17.96	0.993	16.96	3.38	0.995
	1.10	16.624	2.96	18.87	0.990	17.65	3.15	0.995
600	0.55	38.038	1.79	44.50	0.997	43.07	4.47	0.995
	0.78	37.821	1.79	44.26	0.996	42.82	4.47	0.994

φ₀ ×10⁶	m/g	Q/(mL·min^-1)	t_b/h		t_s/h		V_s/(L·g^-1)		ζ
φ₀ ×10⁶	m/g	Q/(mL·min^-1)	实验值	预测值	实验值	预测值	实验值	预测值	实验值	预测值
600	2	15	6.37	7.42	125.78	124.71	56.60	56.82	0.11540	0.11370
400	2	15	5.22	4.18	124.68	125.75	56.11	55.89	0.09786	0.09957
600	8	15	60.42	59.38	217.33	218.40	24.45	24.23	0.36670	0.36830
400	8	15	51.18	52.23	242.13	241.06	27.24	27.47	0.32090	0.31920
600	2	35	4.00	2.96	27.33	28.40	28.70	28.48	0.22100	0.22270
400	2	35	2.85	3.90	26.67	25.60	28.00	28.23	0.21570	0.21390
600	8	35	38.88	39.93	99.33	98.26	26.07	26.30	0.50860	0.50690
400	8	35	38.00	37.00	116.00	117.07	30.45	30.23	0.46140	0.46310
500	5	25	25.60	26.07	122.00	122.20	34.97	34.85	0.28716	0.24890
500	5	25	25.71	25.81	122.19	122.24	34.65	34.74	0.28794	0.25430
500	5	25	26.30	25.76	122.54	122.80	34.51	34.54	0.29022	0.25430
	平均值		25.87	25.88	122.41	122.41	34.70	34.71	0.28844	0.25250
	R²		0.9978		0.9998		0.9997		0.9999