Galvanometer scanner modeling for Selective Laser Melting deflection system simulation

Rasoanarivo, Fetra; Rodriguez-Aycrbe, Pedro; Dumur, Didier

doi:10.1109/icarcv.2018.8581277

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…The resolution of the standard problem uses the five feasibility conditions i to v to approach the optimal value of by dichotomy. The central controller is computed thereafter from the equations ( 9) to (11).…”

Section: H-infinity Controller Synthesismentioning

confidence: 99%

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Improving SLM additive manufacturing operation precision with H-infinity controller structure

Rasoanarivo

Dumur

Rodríguez-Ayerbe

2021

CIRP Journal of Manufacturing Science and Technology

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SLM (Selective Laser Melting) is the most widespread additive manufacturing technique of metal part. The desired part is elaborated through local melting of a raw metal powder bed by means of laser. In industrial machines, galvanometer motors achieve the laser beam deflection and focus control tasks. This paper proposes a H-infinity controller synthesis which improves the system accuracy and robustness towards physical features. Compared to a conventional control scheme, results obtained with the H-infinity controller implemented in an open architecture test bench consisting of a 2-axis laser deflection system showed improved accuracy performance while operation rapidity is optimized.

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Section: H-infinity Controller Synthesismentioning

confidence: 99%

“…Control structures are synthetized on the basis of a galvanometer model proposed in a previous work [11]. This model includes advanced torsion modes and friction models as illustrated in Figure 3.…”

Section: Introductionmentioning

confidence: 99%

Improving SLM additive manufacturing operation precision with H-infinity controller structure

Rasoanarivo

Dumur

Rodríguez-Ayerbe

2021

CIRP Journal of Manufacturing Science and Technology

Self Cite

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“…In automated production, improving the path is a classical issue, already considered for traditional machining such as milling or welding [16,17,18,19]. For powder bed fusion technologies the path directly impacts the heat distribution and thus both the scanning time [20,21] and the creation of quality defects [22,23,24]. Departing from the literature (see [25] for a review of the existing strategies), where paths are based upon fixed strategies, it is chosen here to consider a systematic optimization approach, as initiated in [1] (see also the PhD thesis of the first author [26]).…”

mentioning

confidence: 99%

Concurrent Shape Optimization of the Part and Scanning Path for Powder Bed Fusion Additive Manufacturing

Boissier

Allaire

Tournier

2023

SIAM J. Control Optim.

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This paper investigates the concurrent path planning optimization and the built part structural optimization for powder bed fusion additive manufacturing processes. The state of the art studies rely on existing patterns for trajectories for a fixed built shape. The shape is often optimized for its mechanical performance but rarely in a combined way with its path planning building process. In this work, a two dimensional model (in the layer plane) of the process is proposed under a steady state assumption. Then a systematic path optimization approach, free from a priori restrictions and previously developed in [1], is coupled to a structural optimization tool, both of them based on shape optimization theory. This multiphysics optimization leads to innovative and promising results. First, they confirm that it is essential to take into account the part shape in the scanning path optimization. Second, they also give hints to some design recipes: the material and the source parameters must be related to the thickness of the bars that compose the structure. Indeed, the thickness of a bar is a key ingredient which determines the type of path pattern to scan it: straight line, Omega-pattern and Wave-pattern.

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“…If several parameters are involved in the manufacturing process, the scanning path is one of the most important ones. Indeed, it directly impacts both the manufacturing time [27,44] and the temperature distribution which governs the part's quality [20,22,30,35,42,45]. The literature on scanning paths goes back to traditional machining (welding, milling [6,17,33,43]), most of the works being based upon patterns or a priori fixed strategies [31].…”

mentioning

confidence: 99%

Time Dependent Scanning Path Optimization for the Powder Bed Fusion Additive Manufacturing Process

Boissier

Allaire

Tournier

2022

Computer-Aided Design

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In this paper, scanning paths optimization for the powder bed fusion additive manufacturing process is investigated. The path design is a key factor of the manufacturing time and for the control of residual stresses arising during the building, since it directly impacts the temperature distribution. In the literature, the scanning paths proposed are mainly based on existing patterns, the relevance of which is not related to the part to build. In this work, we propose an optimization algorithm to determine the scanning path without a priori restrictions. Taking into account the time dependence of the source, the manufacturing time is minimized under two constraints: melting the required structure and avoiding any over-heating causing thermally induced residual stresses. The results illustrate how crucial the part's shape and topology is in the path quality and point out promising leads to define path and part design constraints.

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Galvanometer scanner modeling for Selective Laser Melting deflection system simulation

Cited by 3 publications

References 13 publications

Improving SLM additive manufacturing operation precision with H-infinity controller structure

Improving SLM additive manufacturing operation precision with H-infinity controller structure

Concurrent Shape Optimization of the Part and Scanning Path for Powder Bed Fusion Additive Manufacturing

Time Dependent Scanning Path Optimization for the Powder Bed Fusion Additive Manufacturing Process

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