A generic algorithm for a best part orientation system for complex parts in rapid prototyping

Masood, Syed H.; Rattanawong, Wanchai; Iovenitti, Pio G.

doi:10.1016/s0924-0136(03)00190-0

Cited by 127 publications

(62 citation statements)

References 6 publications

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“…It is rarely possible to simultaneously optimize the part orientation to reduce material usage and production cost, improve surface and overall build quality, control the material properties, and eliminate the need for support. To balance these considerations, researchers have used genetic algorithms [54][60] [205][257], swarm intelligence [127], multiobjective optimization [82] [245], and multi-attribute decision making processes [368][369] [371][372] to identify the most optimal orientation for a given part. In addition, discretization and directionality are strongly tied to the characteristics of the AM process and the capabilities of the specific machine used.…”

Section: Discussionmentioning

confidence: 99%

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

et al. 2016

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The past few decades have seen substantial growth in Additive Manufacturing (AM) technologies. However, this growth has mainly been process-driven. The evolution of engineering design to take advantage of the possibilities afforded by AM and to manage the constraints associated with the technology has lagged behind. This paper presents the major opportunities, constraints, and economic considerations for Design for Additive Manufacturing. It explores issues related to design and redesign for direct and indirect AM production. It also highlights key industrial applications, outlines future challenges, and identifies promising directions for research and the exploitation of AM's full potential in industry.Design, Manufacturing, Additive Manufacturing

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Section: Discussionmentioning

confidence: 99%

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

et al. 2016

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“…Many attempts [4][5][6][7][8][9][10][11][12][13][14][15][16][17] have been made to decide a suitable part deposition orientation using different criteria like part accuracy, surface quality, build time, volume of support structure and cost. Dimensional accuracy was measured in terms of weight factors determined experimentally for various types of surfaces in Stereolithography (SL) [5].…”

Section: Introductionmentioning

confidence: 99%

“…Build time reduction is achieved by considering an orientation that offers minimum number of slices among few pre-selected orientations [7]. An approach based on the minimization of volumetric difference of CAD model and LM part (volumetric error) has also been used to determine better part deposition orientation [11][12][13]. In all these attempts the slice edge profile is implicitly assumed as rectangular and the orientation is determined for one criterion at a time or for more than one criterion by considering them one by one.…”

Section: Introductionmentioning

confidence: 99%

Part deposition orientation studies in layered manufacturing

Pandey

Reddy

Dhande

2007

Journal of Materials Processing Technology

119

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“…Strano et al [16] optimised the support volume for 3D structures by calculating the support at every 5 • rotational angle about the x and y axes, subsequently choosing the lowest value. This technique was also used with polymer ALM by Masood et al [10]. However, this systematic approach may not find the most optimum orientation with a 5 • resolution, particularly when considering very complex structures.…”

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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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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A generic algorithm for a best part orientation system for complex parts in rapid prototyping

Cited by 127 publications

References 6 publications

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

Part deposition orientation studies in layered manufacturing

Part orientation optimisation for the additive layer manufacture of metal components

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