ME home
 
  SME FaceBook SME Twitter SME LinkedIn RSS Feed

Subscriber or
SME Member Log On

WEB-ONLY CONTENT

Go to SME eNEWS

MINING INDUSTRY EVENTS

SME Arizona Conference  - Conference
Dec 3, 2017 - Dec 4, 2017
American Exploration & Mining Association Conf  - Conference
Dec 4, 2017 - Dec 8, 2017
Al Azhar‚Äôs 14th International Conference on: Engin  - Conference
Dec 12, 2017 - Dec 14, 2017
WM2E 2017 Energy Tech Expo  - Exhibit
Dec 14, 2017 - Dec 16, 2017

METAL PRICES


Au
Ag
Pt
Pd
Ni
Cu
Al
Pb

AGGREGATES
AND MINERALS
MARKETPLACE


http://aggregatesmineralsmarketplace.com
The Mining Engineering, SME and NSSGA
Online Buyers Directory Site
The Online Global Mining and Minerals Library Site
November 2017
Volume 69    Issue 11

Ball mill classification system optimization through functional performance modeling

Mining Engineering, 2017, Vol. 69, No. 11, pp. 18-18
McIvor, R.E.; Bartholomew, K.M.; Arafat, O.M.; Finch, J.A.


PREVIEW:

Since its development, the functional performance equation for ball milling (McIvor, 1988) has facilitated a new understanding of industrial circuit cause and effect relationships, leading to significant strides in operational performance. Success stories of this approach to plant circuit performance improvement are now too numerous to list. Finch and McIvor (circa 1986) also discovered that the functional performance mill grinding rate at the size of interest was the same cumulative grinding rate that is calculated from mill feed and discharge size distributions using a first-order rate equation. By calculating these cumulative grinding rates for all screen sizes, a complete ball mill model is generated (as used by Finch and Ramirez, 1981). Others in industry, Hinde and Kalala (2009), for example, have noted the same. Lacking the complexity needed to maintain their interest, most  



Please login to access this article.

OR

If you are not an SME member, you can join SME by clicking the button below.