优化熔融沉积建模工艺参数,提高医用级聚甲基丙烯酸甲酯的挠曲强度

N. H. Obaeed, Wisam Hamdan
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摘要

熔融沉积模型(FDM)是生产功能部件(包括生物医学行业使用的功能部件)的理想选择。与其他一些传统制造工艺相比,采用增材制造工艺生产的这些生物医学部件的基本特性取决于结构和工艺参数,而不仅仅是材料特性。在评估医用级聚甲基丙烯酸甲酯(PMMA)的抗弯强度方面,迄今为止的研究相对较少。PMMA 是一种生物相容性长丝,可用于制造患者专用植入物,如牙科假体和整形外科植入物。拟议的工作探索了三个工艺参数对抗弯强度的影响,这三个参数随三个等级的变化而变化。这些水平可通过层高(120、200、280 微米)、填充密度(40、65、90%)和倾斜角度(0º、45º、90º)来确定,它们对医用级 PMMA 抗弯强度的影响。在这项工作中获得的最大和最小抗弯强度分别为 93 和 57 兆帕。方差分析(ANOVA)结果表明,最有效的因素是层高,其次是填充密度。随着层高的降低,抗弯强度明显提高,而倾斜角为零。利用遗传算法对工艺参数进行了优化。根据遗传算法技术得出的最佳结果是:层高约为 276 μm,填充密度为 46%,偏斜角为 89º,在十代交叉时,最大抗弯强度为 97 MPa。
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Optimizing Fused Deposition Modelling Process Parameters for Medical Grade Polymethylmethacrylate Flexural Strength
The production of functional parts, including those employed by the biomedical industry has been achieved a promising candidate in fused deposition modelling (FDM). The essential properties of these biomedical parts which manufactured by additive manufacturing as compared to some other conventional manufacturing processes depend on structural and process parameters rather than material properties alone. Regarding to the evaluation the flexural strength of medical-grade, polymethylmethacrylate (PMMA) has been received relatively very little inves - tigation to date. PMMA is a biocompatible filament that be used in manufacturing of patient-specific implants such as dental prosthesis and orthopaedic implants. The proposed work explores the effect of three process parameters that vary with respect of three levels on the flexural strength. These levels can be specified by layer height (120, 200, 280 µm), infill density (40, 65, 90%) and skewing angle (0º, 45º, 90º) on the flexural strength of medical-grade PMMA. Maximum and minimum flexural strength that be obtained in this work about 93 and 57 MPa respectively. The analysis of variance (ANOVA) results shows that the most effective factor is the layer height followed by infill density. The flexural strength rises significantly with decreases layer height and the skewing angle is in zero direc - tion. The process parameters have been optimized through utilizing of genetic algorithms. The optimal results that emerged based on genetic algorithm technique are approximately 276 μm as layer height, 46% infill density, and skewing angle 89º, which maximize the flexural strength to 97 MPa at crossover for ten generation.
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