Multi-Criterion Decision Method for Roughness Optimization of Fused Deposition Modelled Parts

A. Equbal, Md. Asif Equbal, Md. Israr Equbal, A. K. Sood
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引用次数: 2

Abstract

Fused deposition modelling is an extrusion-based automated fabrication process for making 3D physical objects from part digital information. The process offers distinct advantages, but the quality of part lacks in surface finish when compared with other liquid or powder based additive manufacturing processes. Considering the important factors affecting the part quality, the chapter attempted to optimize the raster angle, air gap, and raster width to minimize overall part roughness. Experiments are designed using face-centered central composite design and analysis of variance provides the effects of processing parameters on roughness of part. Suitability of developed model is tested using Anderson-darling normality test. Desirability method propose that roughness of different part faces are affected differently with chosen parameters, and thus, hybrid approach of WPCA based TOPSIS is used to break the correlation between part faces and reduce the overall part roughness. Optimizing shows that lower raster angle, lower air gap, and larger raster width minimizes overall part roughness.
熔融沉积成形件粗糙度优化的多准则决策方法
熔融沉积建模是一种基于挤压的自动化制造工艺,用于从零件数字信息中制造三维物理对象。该工艺具有明显的优势,但与其他基于液体或粉末的增材制造工艺相比,零件的表面光洁度不足。考虑到影响零件质量的重要因素,本章尝试优化栅格角度、气隙和栅格宽度,以最小化零件的整体粗糙度。实验采用面心中心复合设计,方差分析提供了加工参数对零件粗糙度的影响。采用Anderson-darling正态性检验对模型的适用性进行了检验。可取性法提出不同零件面粗糙度随所选参数的不同而有不同的影响,因此采用基于WPCA的TOPSIS混合方法打破零件面之间的相关性,降低零件整体粗糙度。优化表明,较低的栅格角度、较低的气隙和较大的栅格宽度使整体零件粗糙度最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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