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Investigations for partial denture casting by fused deposition modelling-assisted chemical vapour smoothing

机译:用熔融沉积建模辅助化学蒸汽平滑进行部分义齿铸造的研究

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Purpose - 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. Design/methodology/approach - 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. Findings - The results of this study suggest that for controlling the Δd and R~a 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. Originality/value - 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.
机译:目的 - 本研究的目的是研究用协同沉积建模(FDM)辅助化学蒸汽平滑(CVS)的协同组合制备的尺寸精度(ΔD),表面粗糙度(RA)和微硬度(HV)的部分牙本质(PD)(CVS) )模式和传统牙科铸造(DC)来自多因素优化视图点。设计/方法/方法 - 用丙烯腈丁二烯苯乙烯(ABS)热塑性塑料在FDM设置(低成本添加剂制造过程之一)上用丙烯腈丁二烯苯乙烯(ABS)热塑性塑料制备PD的主模式,然后进行CVS工艺。最终Pd作为功能原型通过不同的Ni%(Z)用镍铬基(Ni-Cr)合金铸造。其他输入参数粉末与所用水的水比P / W(Ⅵ)和pH值(Y)。结果 - 该研究的结果表明,用于控制PD的ΔD和R〜A,最重要的因子是X,其次是Z.对于PD的硬度,最重要的因素是Z.但是来自整体优化观点,而且来自整体优化观点最佳设置是X-100/12,Y-10和Z-61%(在Ni-Cr合金中)。此外,基于X杆图(对于HV),用于制备PD的FDM辅助DC工艺在统计上控制。原创性/值 - 本研究突出显示使用X-100/12,Y-10和Z-61%准备的PD提供了多因素优化视图的更好结果。最后,已经绘制了X-Bar图表以了解FDM,CVS和DC的协同组合的统计性质。

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