Corrigendum

This article refers to:

Investigation and optimization of the recovery of coal fines using oil agglomeration process: Use of waste oils from different sectors

Article title: Investigation and optimization of the recovery of coal fines using oil agglomeration process: Use of waste oils from different sectors

Authors: Anand Mohan Yadav, Nikkam Suresh, Abhishek Sundaram, Pravesh Painkra, Ashish Kumar Raja, and Md Arshad

Journal: Journal of Dispersion Science and Technology

Bibliometrics: Advance online publication

DOI: 10.1080/01932691.2017.1414610

Publisher: Taylor & Francis

Under “2.1. Sample preparation,” “Topa, Jharkhand, India” should be “Jamadoba (JCPP), Jharkhand, India.”

Also in 2.1, the third sentence should read thus: “Size analysis was done (as received basis) and major portion (65.40%) reported to the size fraction of −0.3 mm as illustrated in Table 1.”

The numbers in Tables 1, 2, and 3 are incorrect. Here are the corrected tables:

Table 1. Particle size distribution and size-wise ash analysis of feed sample (as received).

Size Fraction (µm)	Wt%	Cum. Retained	Cum. Passing	% Ash
+0.500	3.57	3.57	96.43	37.58
−0.500 + 0.300	18.42	21.99	78.01	37.26
−300 + 0.212	12.61	34.60	65.40	36.05
−0.212 + 0.150	13.01	4762	52.38	37.04
−0.150 + 0.106	12.48	60.10	39.90	35.38
−0.106 + 0.075	6.12	66.22	33.78	34.00
−0.075 + 0.053	21.31	87.54	12.46	31.43
−0.053	12.46	100.00	0.00	29.37
Total	100.00			34.43

Table 2. Proximate and ultimate analysis of feed coal sample.

Proximate Analysis
% Ash	34.43
% Volatile Matter	16.80
% Moisture	2.33
% Fixed Carbon	46.44
Ultimate Analysis
% Carbon	59.18
% Hydrogen	2.08
% Nitrogen	1.79
% Sulphur	0.71
% Oxygen	36.24

Table 3. Particle size distribution and size-wise ash analysis of prepared sample (−0.075 mm).

Size Fraction (µm)	Wt%	Cum. Retained	Cum. Passing	% Ash
−75 + 53	15.86	15.86	84.14	34.97
−53 + 45	20.12	35.98	64.02	35.68
−45 + 38	16.27	52.24	47.76	35.49
−38 + 23	15.60	67.85	32.15	35.99
−23 + 15	17.78	85.63	14.37	34.16
−15 + 11	7.86	93.49	6.51	31.22
−11	6.51	100.00	0.00	27.90
Total	100.00			34.46