• 文献标题:   Optimization of SPS processing parameters on the density and hardness properties of graphene reinforced polylactic acid nanocomposite
  • 文献类型:   Article
  • 作  者:   ADESINA OT, SADIKU ER, JAMIRU T, OGUNBIYI OF, BENEKE LW, ADEGBOLA AT
  • 作者关键词:   optimization, anova, polylactic acid pla, graphene gnp, density, hardnes, temperature, pressure
  • 出版物名称:   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • ISSN:   0268-3768 EI 1433-3015
  • 通讯作者地址:   Tshwane Univ Technol
  • 被引频次:   4
  • DOI:   10.1007/s00170-019-03530-7
  • 出版年:   2019

▎ 摘  要

This article examines the influence of process parameters of Spark plasma sintering (SPS) technique on the densification and hardness properties of graphene (GNP) reinforced polylactic acid (PLA) nanocomposite. The numerical experiment was designed in accordance with response surface methodology (RSM) using central composite design (CCD). Five percent GNP were used as reinforcement in the polylactic acid matrix at varying conditions of temperature and pressure for the physical experiment. The validation of the developed model, as well as the effect of each variable and their interaction, was analyzed using the analysis of variance (ANOVA). Taking the material hardness and density as the response of the designed experiment, the data obtained from both the numerical and physical experiment were statistically analyzed to obtain a predictive model which correlates the hardness and density as a function of the independent process parameters. The optimization produced 30 feasible solutions whose desirability equals to 1. The most desirable SPS processing parameters were the temperature of 158.2 degrees C and a pressure of 25.87MPa. Under this condition, a density of 1.28g/cm(3) and Vickers hardness value of 260.