Using Multistep Methods in Slicing 2 ½ Dimensional Parametric Surfaces for Additive Manufacturing Applications

Gohari, Hossein; Barari, Ahmad; Kishawy, Hossam A.

doi:10.1016/j.ifacol.2016.12.163

Cited by 24 publications

(4 citation statements)

References 11 publications

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“…Other methods for surface slicing include point clouds [18], Bezier level sets [19], NURBS [13], implicit surfaces [20,21], Catmull-Clark solids [22] and slicing of graph-based lattice structures [23].…”

Section: Parallel-planes Mesh Slicingmentioning

confidence: 99%

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Level Sets of Weak-Morse Functions for Triangular Mesh Slicing

et al. 2020

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In the context of CAD CAM CAE (Computer-Aided Design, Manufacturing and Engineering) and Additive Manufacturing, the computation of level sets of closed 2-manifold triangular meshes (mesh slicing) is relevant for the generation of 3D printing patterns. Current slicing methods rely on the assumption that the function used to compute the level sets satisfies strong Morse conditions, rendering incorrect results when such a function is not a Morse one. To overcome this limitation, this manuscript presents an algorithm for the computation of mesh level sets under the presence of non-Morse degeneracies. To accomplish this, our method defines weak-Morse conditions, and presents a characterization of the possible types of degeneracies. This classification relies on the position of vertices, edges and faces in the neighborhood outside of the slicing plane. Finally, our algorithm produces oriented 1-manifold contours. Each contour orientation defines whether it belongs to a hole or to an external border. This definition is central for Additive Manufacturing purposes. We set up tests encompassing all known non-Morse degeneracies. Our algorithm successfully processes every generated case. Ongoing work addresses (a) a theoretical proof of completeness for our algorithm, (b) implementation of interval trees to improve the algorithm efficiency and, (c) integration into an Additive Manufacturing framework for industry applications.

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Section: Parallel-planes Mesh Slicingmentioning

confidence: 99%

“…The computation of critical 0-manifold points is performed in lines[16][17][18][19][20][21][22][23][24][25][26][27][28][29][30], where each vertex is tested as a local minimum (or maximum). (4) Finally, lines 31-40 perform the computation of closed and oriented contours, including degenerate and non-degenerate saddle points.…”

mentioning

confidence: 99%

Level Sets of Weak-Morse Functions for Triangular Mesh Slicing

et al. 2020

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“…A successful design process needs to be conducted by considering all of the manufacturing and inspection requirements [8]. Although additive manufacturing processes are still not able to produce high surface qualities [9], [10], they are highly flexible in producing the complex geometries produced by topology optimization [11], [12]. Also, the advances in coordinate metrology algorithms allow relatively fast inspection of the complex topologies resulting by the topologically optimized designs [13].…”

Section: Implementation Of Overhang Constraintmentioning

confidence: 99%

Constrained Topology Optimization For Additive Manufacturing Of Structural Components In Ansys®

Jankovics¹,

Gohari²,

Barari³

2018

Progress in Canadian Mechanical Engineering

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Topology Optimization is currently the main technique to optimize an objects structural design. This method commonly produces parts that have exceedingly complex geometry. Additive manufacturing (AM) is the main manufacturing process to produce these optimized designs due to the flexibility and speed it offers. However, results of topology optimization without considering manufacturing process limits, even AM ones, may result in designs that are expensive and difficult to build. This paper presents a topology optimization filter that minimizes the effect of overhang structures. These structures are very difficult to manufacture using conventional AM techniques. In order to constrain the gradient compliances with respect to densities and converge the results towards a structure with the least amount of overhang structures, sensitivities are modified using the proposed filter. To implement the proposed filter and the base topology optimization methods ESO and SIMP, ANSYS Parametric Design Language (APDL) is employed within the ANSYS ® Workbench™ environment. The results of a case study using the different topology optimization methods are investigated. Finally, an implementation of the proposed AM filter is used to solve an MBB-beam problem. The result is a structure that needs the least amount of support structure.

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“…Intelligent correction and compensation of errors have been extensively researched, yielding promising results in various metrology fields such as flatness inspection [5], measurement of planner surfaces [6] and slicing Non-Uniform Rational B-Splines (NURBS) surfaces [7] and also manufacturing setups like CNC machine [8], electrical discharge machining (EDM) [9], additive manufacturing [10]. Besides, advanced non-conventional manufacturing techniques, notably those encompassing complex and multi-variable nonlinear procedures like Spark-Assisted Chemical Engraving (SACE), can have the potential to hold significant promise in achieving elevated operational efficiency through intelligent manufacturing utilizing the integration of real-time error correction.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Characterization of Spark-Assisted Chemical Engraving (SACE) Process Using Time Series Classification

Sahebari,

Bassyouni,

Barari

et al. 2023

Preprint

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Spark-Assisted Chemical Engraving (SACE) requires precise control over key factors to overcome gas film instability and achieve reproducible optimal resolution and machining speed. This paper presents a substantial advancement in the SACE micromanufacturing technique by introducing a composite algorithm. This algorithm leverages deep learning and time series classification, employing a Temporal Convolutional Network (TCN) and a Long Short-Term Memory (LSTM) architecture for sequence-to-sequence intelligent classification. These classifiers are trained and optimized using Bayesian optimization, achieving impressive accuracies of 97.12% for TCN and 96.64% for LSTM. The algorithm utilizes TCN's superior performance to calculate derived parameters like gas film formation time, lifetime, mean discharge current and energy, and discharging frequency. Its versatility is demonstrated across various experimental conditions, showcasing its potential for rapid and accurate systematic studies. By highlighting the algorithm's applicability in real-time process control for SACE, this study establishes a foundation for future advancements in the field of glass micro manufacturing.

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Using Multistep Methods in Slicing 2 ½ Dimensional Parametric Surfaces for Additive Manufacturing Applications

Cited by 24 publications

References 11 publications

Level Sets of Weak-Morse Functions for Triangular Mesh Slicing

Level Sets of Weak-Morse Functions for Triangular Mesh Slicing

Constrained Topology Optimization For Additive Manufacturing Of Structural Components In Ansys®

Intelligent Characterization of Spark-Assisted Chemical Engraving (SACE) Process Using Time Series Classification

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