Optimal part deposition orientation in FDM by using a multicriteria genetic algorithm

Pandey, Pulak M.; Thrimurthulu, K.; Reddy, N. Venkata

doi:10.1080/00207540410001708470

Cited by 177 publications

(121 citation statements)

References 9 publications

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“…Refinements to the process to improve production efficiency and accuracy have been studied in some detail over the past 20 years [1,4,12,13]. The majority of the published research has focussed on plastic technologies.…”

Section: Introductionmentioning

confidence: 99%

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Part orientation optimisation for the additive layer manufacture of metal components

Morgan

Cherry

Jonnalagadda

et al. 2016

Int J Adv Manuf Technol

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In a number of additive layer manufacturing processes, particularly for metals, additional support structure is required during the build process to act as scaffolding for overhanging features and to dissipate process heat. Such structures use valuable raw materials and their removal adds to post processing time. The objective of this study was to investigate whether a simple, single objective optimisation technique could be used to find the best orientation of the part, that would minimise the volume of support needed during the build. Not only reducing waste but potentially providing an effective and consistent approach for inexperienced users to orient components during manufacture. Software was developed using MatLab with an unconstrained optimisation algorithm implemented to search the different rotations of the part and identify the configuration with the least requirement for support volume. The algorithm was gradient based, and so multiple starting points were used to identify a global minimum. The efficacy of the algorithm is illustrated with three different case studies of increasing complexity. Additionally, the component of the final study was manufactured, which allowed a comparison between the algorithm's results and the orientations chosen by experienced operatives. In two of the three case studies, the software was able to find good solutions for the support volume minimisation. For the manufactured part, only one of the results matched the orientation chosen by the operators, the other was orientated in a similar way but the difference added significantly to the required support volume. Future developments of the software would benefit from incorporating the expertise of the manufacturing operative.

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Section: Introductionmentioning

confidence: 99%

“…Some authors [12,13] have undertaken complex, multi-objective optimisation to find solutions that allow for the impact of surface roughness, part orientation and build height. In the data available to the authors, it is not clear that there is a significant correlation between build height and manufacturing time.…”

Section: Introductionmentioning

confidence: 99%

Part orientation optimisation for the additive layer manufacture of metal components

Morgan

Cherry

Jonnalagadda

et al. 2016

Int J Adv Manuf Technol

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“…The layer thickness is most effective at 0.3556mm, the road width at 0.537mm and the speed of deposition at200mm. P. M. PANDEY et al [11] have studied the orientation for part deposition as it affects part surface quality, production time and the requirement for support structure and cost in the RP processes. They used Multicriteria Genetic Algorith m to determine optimal solutions for part deposition orientation for the two contradicting objectives i.e.…”

Section: Bh Lee Et Al [9]mentioning

confidence: 99%

Optimization of Abs P430 Material Made of Fused Deposition Modeling (Fdm) Using Taguchi Method

2015

IJAERD

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“…Padhye and Deb [2,3] applied evolutionary algorithms like multiobjective genetic algorithm (NGSA-II) and particle swarm optimizers (MOPSO) to determine the best build orientation in SLS. They used the objective function developed by Singhal et al [1] and they just considered minimization of surface roughness and build time as objectives.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Build Orientation Optimization for Powder Bed Fusion by Laser

Brika¹,

Zhao²,

Brochu³

et al. 2017

Ind Eng Manage

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This paper proposes an integrated approach to determine optimal build orientation for Powder bed fusion by laser (PBF-L), by simultaneously optimizing mechanical properties, surface roughness, the amount of support structure and build time-cost. Experimental data analysis has been used to establish the objective functions for different mechanical properties and surface roughness. Geometry analysis of the part has been used to estimate the needed support structure and thus evaluate the build time and cost. Normalized weights are assigned to different objectives depending on their relative importance allowing solving the multi-objective optimization problem using a genetic optimization algorithm. A study case is presented to demonstrate the capabilities of the developed system. The major achievements of this work are the consideration of multiple objectives, the establishment of objective function considering different load direction and heat treatments. A user-friendly graphical user interface was developed allowing to control different optimization process factors and providing different visualization and evaluation tools.

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Optimal part deposition orientation in FDM by using a multicriteria genetic algorithm

Cited by 177 publications

References 9 publications

Part orientation optimisation for the additive layer manufacture of metal components

Part orientation optimisation for the additive layer manufacture of metal components

Optimization of Abs P430 Material Made of Fused Deposition Modeling (Fdm) Using Taguchi Method

Multi-Objective Build Orientation Optimization for Powder Bed Fusion by Laser

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