Multi-objective optimisation of strength and volumetric shrinkage of FDM parts A multi-objective optimization scheme is used to optimize the strength and volumetric shrinkage of FDM parts considering different process parameters

被引:84
作者
Gurrala, Pavan Kumar [1 ]
Regalla, Srinivasa Prakash [1 ]
机构
[1] BITS Pilani, Dept Mech Engn, Hyderabad, Andhra Pradesh, India
关键词
fused deposition modelling; strength; volumetric shrinkage; multi-objective optimisation; genetic algorithm;
D O I
10.1080/17452759.2014.898851
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the present work, the relationships between two important quality objectives, namely, strength and volumetric shrinkage of fused deposition modelling (FDM) parts and selected process parameters, namely the build interior, the horizontal build direction and the vertical build have been determined through a minimum number of experiments based on face centred central composite design. Specimens have been manufactured on an FDMmachine and tests have been conducted to evaluate strength and volumetric shrinkage. The relationship for each of these two response variables in terms of the three process parameters has been constructed using analysis of variance. The resulting two objective functions are optimised simultaneously using the non-dominated sorting genetic algorithm. In order to validate the Pareto optimal solution, three randomly chosen experimental runs at intermediate parameter values (other than design of experiments levels) were repeated and good correlation was found between these results and the Pareto optimal.
引用
收藏
页码:127 / 138
页数:12
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