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Injection molding parameter optimization using the Taguchi method for highest green strength for bimodal powder mixture with SS316L in PEG and PMMA

机译:使用Taguchi方法优化注塑参数,以在PEG和PMMA中与SS316L的双峰粉末混合物实现最高生坯强度

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摘要

Injection molding parameters for the highest green strength of the metal powder mixture has been optimized using L27 (313) Taguchi orthogonal array. Parameters optimized are the injection pressure, injection temperature, powder loading, mold temperature, holding pressure and injection rate. The metal powder mixture used is SS316L powder in bimodal particle-sized distribution, and a composite binder consisting of PEG and PMMA. Stearic acid is used as a surfactant to improve its flowablity. Interactions of the injection pressure, injection temperature and powder loading were studied. Analysis of variance (ANOVA) for the best signal to noise ratio (S/N) presents the contribution of the parameters to the quality characteristic (green strength). Results show that the mold temperature contributes about 48.28 % (highest) followed by the powder loading (8.33 %) and, injection rate (6.00 %) while, other parameters were pooled because the confident level was lower than 90 %. Nevertheless, the analysis of variance does not show any contribution from the interactions.
机译:使用L27(313)Taguchi正交阵列优化了金属粉末混合物最高生坯强度的注塑参数。优化的参数是注射压力,注射温度,粉末加载量,模具温度,保压压力和注射速率。使用的金属粉末混合物是双峰粒度分布的SS316L粉末,以及由PEG和PMMA组成的复合粘合剂。硬脂酸用作表面活性剂以改善其流动性。研究了注射压力,注射温度和粉末负载的相互作用。最佳信噪比(S / N)的方差分析(ANOVA)显示了参数对质量特性(绿色强度)的贡献。结果表明,模具温度贡献了约48.28%(最高),其次是粉末装载量(8.33%)和注射速率(6.00%),同时合并了其他参数,因为置信度低于90%。然而,方差分析没有显示出相互作用的任何贡献。

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