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首页> 外文期刊>Journal of Advanced Manufacturing Technology >PARAMETER OPTIMIZATION OF INJECTION MOULDING USING HIGH DENSITY POLYETHYLENE-PINEAPPLE LEAF FIBRE
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PARAMETER OPTIMIZATION OF INJECTION MOULDING USING HIGH DENSITY POLYETHYLENE-PINEAPPLE LEAF FIBRE

机译:使用高密度聚乙烯 - 菠萝叶纤维注塑成型参数优化

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Recently, the challenging factors among researchers and manufactures are to produce metal components at low cost without gratifying customers’ desires. This research aims to determine the significant parameters condition to produce a free defect of High Density Polyethylene (HDPE)-Pineapple Leaf Fibre (PALF), using PALF compositions of 0 wt.%, 10 wt.%, 20 wt.% and 30 wt.%. Therefore, four parameters were included in this research work, moulding temperature (A), moulding speed (B), moulding pressure (C) and cooling time (D) are investigated to optimize the injection moulding, which analysed two responses (hardness and ultimate tensile strength). Thus, Taguchi L9 (34) Orthogonal Array was applied. The percentage contribution to the parameters towards both responses were defined by Analysis of Variance (ANOVA). For hardness, the greatest contributing parameters were A, D, D and B for 0 wt. %, 10 wt. %, 20 wt. % and 30 wt. % of PALF, respectively. Then, the highest contribution parameters were A, D, A and A for 0 wt.%, 10 wt.%, 20 wt.% and 30 wt.% of PALF, respectively. Experimental result was provided with confirmation test for validation to confirm the effectiveness of this method. The research work proved that the applied method was able to optimize the process with minimum trials without gratifying the production of optimal qualities of PIM components.
机译:最近,研究人员和制造商之间的具有挑战性因素是在不需要客户的欲望的情况下以低成本生产金属部件。本研究旨在确定产生高密度聚乙烯(HDPE) - 纤维叶纤维(PALF)的自由缺陷的重要参数条件,使用0重量%,10重量%,20重量%和30重量% 。%。因此,在该研究工作中包括四个参数,研究了模塑温度(A),模塑速度(B),模塑压力(C)和冷却时间(D)以优化注射成型,这分析了两个反应(硬度和最终抗拉强度)。因此,施加了Taguchi L9(34)正交阵列。通过对差异(ANOVA)的分析来定义对两个响应参数的贡献。对于硬度,最大的贡献参数是0重量的D,D和B. %,10 wt。 %,20重量%。 %和30 wt。 PALF的百分比分别。然后,最高贡献参数为A,D,A和A为0重量%,10重量%,20重量%,20重量%和30重量%。%PALF。实验结果提供了确认试验,以确认该方法的有效性。研究工作证明,应用方法能够优化具有最低试验的过程,而无需满足PIM分量的最佳品质的产生。

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