Determining the effect of process parameters on particle size in mechanical milling using the Taguchi method: Measurement and analysis

ÇANAKÇI A., ERDEMİR F., VAROL T., Patir A.

MEASUREMENT, cilt.46, sa.9, ss.3532-3540, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 46 Sayı: 9
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1016/j.measurement.2013.06.035
  • Dergi Adı: MEASUREMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.3532-3540
  • Anahtar Kelimeler: Mechanical milling, Taguchi method, Particle size, Nanocrystalline material, COMPOSITE POWDER, SOLID-SOLUTION, OPTIMIZATION, TIME, HARDNESS
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Micro and nano-particles have been successfully and widely applied in many industrial applications. The mechanical milling process is a popular technique used to produce micro and nano-particles. Therefore, it is very important to improve milling process efficiency and quality by determining the optimal milling parameters. In this study, the effects of the main mechanical milling parameters: milling time, process control agent (PCA), ball to powder ratio (BPR) and milling speed in the planetary ball milling of nanocrystalline Al 2024 powder were optimized by the Taguchi method. Mean particle size (d(50)) was used to evaluate the effect of process parameters on the mechanical milling process. The orthogonal array experiment is conducted to economically obtain the response measurements. Analysis of variance (ANOVA) and main effect plot are used to determine the significant parameters and set the optimal level for each parameter. The as-received and milled powders were characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM) and a laser particle size analyzer, respectively. The results indicate that the process control agent significantly affects (84% contribution) the mean particle size (d(50)) while other parameters have a lower effect (16% contribution). The developed model can be used in the mechanical milling processes in order to determine the optimum milling parameters for minimum particle size. Crown Copyright (c) 2013 Published by Elsevier Ltd. All rights reserved.