Beta
ManageSearchChatDiscover
124400

OPTIMIZATION OF JIGGING PROCESS USING STATISTICAL TECHNIQUE

Article

Last updated: 26 Dec 2024

OverviewSimilar Items

Subjects

-

Tags

Mining and Metallurgical Engineering.

Abstract

The jigging studies of a synthetic binary mixture of quartz and coal were carried out. The variables studied were the particle size, bed thickness, number of strokes per minute, and water level. Experiments were carried out using 24 full factorial design. The main and interaction effects on quartz recovery were evaluated using Yates' analysis. The optimum jigging condition was found by the method of steepest ascent. A product with 81.81% quartz and 97.74% recovery in the lower layer was obtained at the following optimum conditions: particle size 3.907 mm, bed thickness 1.87 cm, water level 4.41 cm, and 234.3 strokes per minute.

DOI

10.21608/jesaun.2010.124400

Keywords

Harz Jig, Yates' Analysis, Factorial Analysis, interaction effect, T-TEST

Authors

First Name

Mahmoud M.

Last Name

Ahmed

MiddleName

-

Affiliation

Mining and Metallurgical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71516, Egypt

Email

mamoah@aun.edu.eg

City

-

Orcid

-

Volume

38

Article Issue

No 3

Related Issue

16848

Issue Date

2010-05-01

Receive Date

2010-02-24

Publish Date

2010-05-01

Page Start

807

Page End

818

Print ISSN

1687-0530

Online ISSN

2356-8550

Article File

JESAUN_Volume 38_Issue No 3_Pages 807-818.pdf

PDF . 644.7kB

Link

https://jesaun.journals.ekb.eg/article_124400.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=124400

Order

14

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

OPTIMIZATION OF JIGGING PROCESS USING STATISTICAL TECHNIQUE

Details

Type

Article

Created At

23 Jan 2023