首页> 外文期刊>Computational Materials Science >Experimental characterization and analytical modelling of the mechanical behaviour of fused deposition processed parts made of ABS-M30
【24h】

Experimental characterization and analytical modelling of the mechanical behaviour of fused deposition processed parts made of ABS-M30

机译:ABS-M30熔融沉积加工零件的力学性能的实验表征和分析模型

获取原文
获取原文并翻译 | 示例
           

摘要

The Fused Deposition Modelling process is a highly efficient Rapid Prototyping approach that makes it possible to rapidly generate even much complicated parts. Unfortunately, the Fused Deposition Modelling is affected by several parameters, whose setting may have a strong impact on the components strength. This paper is devoted to the study of the effects generated by the Fused Deposition Modelling production parameters on the tensile strength and on the stiffness of the generated components, tackling the question from both the experimental and the numerical points of view. For this purpose, an analytical model was developed, which is able to predict the strength and the stiffness properties, based on the number of contours deposited around the component edge and on the setting of the other main parameters of the deposition process. The fundamental result of the paper consists in the possibility of predicting the mechanical behaviour of the Fused Deposition modelled parts, once the raster pattern (dimensions, number of contours, raster angle) has been stated. The effectiveness of the theoretical model has been verified by comparison to a significant number of experimental results, with mean errors of about 4%.
机译:熔融沉积建模过程是一种高效的快速原型制作方法,可以快速生成甚至更复杂的零件。不幸的是,熔融沉积建模受几个参数的影响,这些参数的设置可能会对零件强度产生很大影响。本文致力于研究熔融沉积建模生产参数对拉伸强度和所生成组件的刚度产生的影响,从实验和数值角度都解决了这个问题。为此,开发了一种分析模型,该模型能够基于围绕零件边缘沉积的轮廓数量和沉积过程的其他主要参数的设置来预测强度和刚度属性。本文的基本结果是,一旦确定了光栅图案(尺寸,轮廓数量,光栅角度),就可以预测熔融沉积建模零件的机械性能。通过与大量实验结果进行比较,验证了理论模型的有效性,平均误差约为4%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号