The purpose of this study is to investigate dimensional accuracy (Δd), surface roughness (Ra) and micro hardness (HV) of partial dentures (PD) prepared with synergic combination of fused deposition modelling (FDM) assisted chemical vapour smoothing (CVS) patterns and conventional dental casting (DC) from multi-factor optimization view point.,The master pattern for PD was prepared with acrylonitrile butadiene styrene (ABS) thermoplastic on FDM set-up (one of the low cost additive manufacturing process) followed by CVS process. The final PD as functional prototypes was casted with nickel–chromium-based (Ni-Cr) alloy by varying Ni% (Z). The other input parameters were powder to water ratio P/W (X) and pH value (Y) of water used.,The results of this study suggest that for controlling the Δd and Ra of the PD, most important factor is X, followed by Z. For hardness of PD, the most important factor is Z. But from overall optimization viewpoint, the best settings are X-100/12, Y-10 and Z-61% (in Ni-Cr alloy). Further, based upon X-bar chart (for HV), the FDM-assisted DC process used for preparation of PD is statistically controlled.,This study highlights that PD prepared with X-100/12, Y-10 and Z-61% gives overall better results from multi-factor optimization view point. Finally, X-bar chart has been plotted to understand the statistical nature of the synergic combination of FDM, CVS and DC.

中文翻译：

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通过熔融沉积建模辅助化学气相平滑对局部义齿铸造的研究

本研究的目的是研究通过熔融沉积建模 (FDM) 辅助化学气相平滑 (CVS) 模式的协同组合制备的局部义齿 (PD) 的尺寸精度 (Δd)、表面粗糙度 (Ra) 和显微硬度 (HV)。和传统牙科铸造 (DC) 从多因素优化的角度来看。,PD 的主模型是在 FDM 设置（低成本增材制造工艺之一）上用丙烯腈丁二烯苯乙烯 (ABS) 热塑性塑料制备的，然后是 CVS 工艺. 作为功​​能原型的最终 PD 是通过改变 Ni% (Z) 用镍铬基 (Ni-Cr) 合金铸造的。其他输入参数是所用水的粉水比 P/W (X) 和 pH 值 (Y)。本研究结果表明，为了控制 PD 的 Δd 和 Ra，最重要的因素是 X，其次是通过 Z。对于 PD 的硬度，最重要的因素是 Z。但从整体优化的角度来看，最佳设置是 X-100/12、Y-10 和 Z-61%（在 Ni-Cr 合金中）。此外，基于 X 柱状图（对于 HV），用于制备 PD 的 FDM 辅助 DC 过程受到统计控制。本研究强调使用 X-100/12、Y-10 和 Z-61% 制备的 PD从多因素优化的角度来看，整体效果更好。最后，绘制了 X 条形图以了解 FDM、CVS 和 DC 协同组合的统计性质。该研究强调，从多因素优化的角度来看，使用 X-100/12、Y-10 和 Z-61% 制备的 PD 总体上提供了更好的结果。最后，绘制了 X 条形图以了解 FDM、CVS 和 DC 协同组合的统计性质。该研究强调，从多因素优化的角度来看，使用 X-100/12、Y-10 和 Z-61% 制备的 PD 总体上提供了更好的结果。最后，绘制了 X 条形图以了解 FDM、CVS 和 DC 协同组合的统计性质。