Published March 1, 2019 | Version v1
Journal article

Parameter Optimization of Ball Milling Process for Silica Sand Tailing

  • 1. Manufacturing for Bangka Belitung Polytecnic (Indonesia)
  • 2. Mechanical Engineering, Faculty of Engineering, Brawijaya University (Indonesia)

Description

The development of powder metallurgy technology has affected the increasing demand for powder materials lately. The powder production process uses physical methods, such as grinding with a ball mill more effective and more environmentally friendly than other methods. The parameters used in the ball mill process are relatively large, however there are several parameters that have a significant effect on the reduction grain size produced. This experiment was designed using the Taguchi method to find the optimum parameters in the production process of mircoparticles silica sand tailing. Orthogonal arrays and signal-to-noise ratios are applied to study the performance characteristics of processing parameters. The three main parameters applied in this study are Ball to Powder weight Ratio (BPR), time milling process, and rotational speed (rpm). The materials used in the study was Bangka silica sand tailing, with an average size of D50: 267 µm, based on the measurement of Particle Size Analyzer (PSA). The results of signal-to-noise analysis obtained the optimum parameter values in a row are: 100 rpm for milling speed parameter, 15: 1 for BPR parameter and 120 minutes for time-miling parameter. The powder size experiment verification of the ball mill process optimization parameter is D50 : 14.99 µm. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/494/1/012073

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
494
Journal Issue
1
Journal Page Range
[10 p.]
ISSN
1757-899X

Conference

Title
International Conference on Mechanical Engineering Research and Application
Dates
23-25 Oct 2018
Place
Malang (Indonesia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52115281
Subject category
S36: MATERIALS SCIENCE; S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
GRAIN SIZE; MATERIALS; MILLING; OPTIMIZATION; PARTICLE SIZE; PERFORMANCE; POWDER METALLURGY; POWDERS; PROCESSING; SIGNALS; SIGNAL-TO-NOISE RATIO; SILICA; TAILINGS
Descriptors DEC
DIMENSIONLESS NUMBERS; MACHINING; METALLURGY; MICROSTRUCTURE; MINERALS; OXIDE MINERALS; SIZE; SOLID WASTES; WASTES