Searched for: author%3A%22Langelaar%2C+Matthijs%22
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Pinskier, Josh (author), Wang, Xing (author), Liow, Lois (author), Xie, Yue (author), Kumar, Prabhat (author), Langelaar, Matthijs (author), Howard, David (author)
Soft grippers are ideal for grasping delicate, deformable objects with complex geometries. Universal soft grippers have proven effective for grasping common objects, however complex objects or environments require bespoke gripper designs. Multi-material printing presents a vast design-space which, when coupled with an expressive computational...
journal article 2024
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Ranjan, R. (author), Chen, Z. (author), Ayas, C. (author), Langelaar, Matthijs (author), van Keulen, A. (author)
Overheating is a major issue especially in metal Additive Manufacturing (AM) processes, leading to poor surface quality, lack of dimensional precision, inferior performance and/or build failures. A 3D density-based topology optimization (TO) method is presented which addresses the issue of local overheating during metal AM. This is achieved...
journal article 2023
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Delissen, A.A.T.M. (author), van Keulen, A. (author), Langelaar, Matthijs (author)
The design of high-performance mechatronic systems is very challenging, as it requires delicate balancing of system dynamics, the controller, and their closed-loop interaction. Topology optimization provides an automated way to obtain systems with superior performance, although extension to simultaneous optimization of both topology and...
journal article 2023
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Fransen, M.P. (author), Langelaar, Matthijs (author), Schott, D.L. (author)
In design optimization of bulk handling equipment (BHE) we generally focus on the mean performance of the equipment. However, granular materials behave stochastic due to irregularities in particle shape and size which leads to stochastic performance of the equipment. To include the stochastic performance we propose robust metamodel-based...
journal article 2023
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Pressmair, Nadine (author), Xia, Yi (author), Wu, Hongfei (author), Langelaar, Matthijs (author), Hendriks, M.A.N. (author), Majdouba, Ahmad (author), Mogra, Mihir (author), Grisaro, Hezi (author), Amir, Oded (author), Kromoser, Benjamin (author)
Concrete, as the most widely used construction material, is associated with a high environmental impact. Within the present study, structural optimization is the method of choice to counter this issue. The entire process, from optimization, to design, experiments and numerical simulation is outlined. Embedded in the framework of a design...
journal article 2023
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Mishra, V. (author), Ayas, C. (author), Langelaar, Matthijs (author)
In metal Additive Manufacturing (AM), the deposited material is subjected to a series of heating and cooling cycles. The locally occurring temperature extremes and cooling rates determine solid-state phase fractions, material microstructure, texture, and ultimately the local material properties. As the shape of a part determines the local...
journal article 2023
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Pinskier, Josh (author), Kumar, Prabhat (author), Langelaar, Matthijs (author), Howard, David (author)
Soft robotic grasping has rapidly spread through the academic robotics community in recent years and pushed into industrial applications. At the same time, multimaterial 3D printing has become widely available, enabling the monolithic manufacture of devices containing rigid and elastic sections. We propose a novel design technique that...
conference paper 2023
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Theulings, M.J.B. (author), Langelaar, Matthijs (author), van Keulen, A. (author), Maas, Robert (author)
Modeling of fluid flows in density-based topology optimization forms a longstanding challenge. Methods based on the Navier–Stokes equations with Darcy penalization (NSDP equations) are widely used in fluid topology optimization. These methods use porous materials with low permeability to represent the solid domain. Consequently, they suffer...
journal article 2023
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Komini, Ludian (author), Langelaar, Matthijs (author), Kriegesmann, Benedikt (author)
This paper presents a method to consider uncertainties in the distortion prediction of additive manufacturing processes within robust topology optimization. The random variable of the stochastic additive manufacturing process is the inherent thermomechanical strain, typically determined by process characterization experiments. The value of...
journal article 2023
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Bayat, Mohamad (author), Zinovieva, Olga (author), Ferrari, Federico (author), Ayas, C. (author), Langelaar, Matthijs (author), Spangenberg, Jon (author), Salajeghe, Roozbeh (author), Poulios, Konstantinos (author), Mohanty, Sankhya (author), Sigmund, Ole (author), Hattel, Jesper (author)
Additive manufacturing (AM) processes have proven to be a perfect match for topology optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by-layer manner. From a manufacturing viewpoint, however, there is a significant likelihood of process-related defects within complex geometrical features designed by TO...
review 2023
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Kumar, Prabhat (author), Pinskier, Josh (author), Howard, David (author), Langelaar, Matthijs (author)
Compliant mechanisms actuated by pneumatic loads are receiving increasing attention due to their direct applicability as soft robots that perform tasks using their flexible bodies. Using multiple materials to build them can further improve their performance and efficiency. Due to developments in additive manufacturing, the fabrication of...
conference paper 2023
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Ranjan, R. (author), Langelaar, Matthijs (author), van Keulen, A. (author), Ayas, C. (author)
Computational process modelling of metal additive manufacturing has gained significant research attention in recent past. The cornerstone of many process models is the transient thermal response during the AM process. Since deposition-scale modelling of the thermal conditions in AM is computationally expensive, spatial and temporal...
journal article 2023
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Slebioda, Marek (author), Giele, R.J.P. (author), Langelaar, Matthijs (author)
This paper presents a density based topology optimization method for infinite fatigue life constraints of non-proportional load cases, with a specific focus on parts with cyclic symmetry. Considering non-proportional loads in topology optimization significantly broadens the types of design problems that can be handled. The method estimates...
journal article 2023
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van der Zwet, J.M. (author), Delissen, A.A.T.M. (author), Langelaar, Matthijs (author)
Topology optimization has seen increased interest with the rise of additive manufacturing (AM) as a fabrication method, because of its ability to exploit the geometric complexity that AM offers. However, AM still imposes some geometric restrictions on the design, most notably on minimum feature size, overhang angles, and enclosed voids....
journal article 2023
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Ranjan, R. (author), Ayas, C. (author), Langelaar, Matthijs (author), van Keulen, A. (author)
A novel constraint to prevent local overheating is presented for use in topology optimization (TO). The very basis for the constraint is the Additive Manufacturing (AM) process physics. AM enables fabrication of highly complex topologically optimized designs. However, local overheating is a major concern especially in metal AM processes...
journal article 2022
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Koppen, S. (author), Langelaar, Matthijs (author), van Keulen, A. (author)
High-tech equipment critically relies on flexures for precise manipulation and measurement. Through elastic deformation, flexures offer extreme position repeatability within a limited range of motion in their degrees of freedom, while constraining motion in the degrees of constraint. Topology optimization proves a prospective tool for the...
journal article 2022
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Kumar, Prabhat (author), Langelaar, Matthijs (author)
This paper presents a robust density-based topology optimization approach for synthesizing pressure-actuated compliant mechanisms. To ensure functionality under manufacturing inaccuracies, the robust or three-field formulation is employed, involving dilated, intermediate and eroded realizations of the design. Darcy's law in conjunction with a...
journal article 2022
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Koppen, S. (author), Langelaar, Matthijs (author), van Keulen, A. (author)
In topology optimization, the state of structures is typically obtained by numerically evaluating a discretized PDE-based model. The degrees of freedom of such a model can be partitioned in free and prescribed sets to define the boundary conditions. A multi-partition problem involves multiple partitions of the same discretization, typically...
journal article 2022
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Fransen, M.P. (author), Langelaar, Matthijs (author), Schott, D.L. (author)
In calibration of model parameters for discrete element method (DEM) based models the focus lies on matching the mean key performance indicator (KPI) values from laboratory experiments to those from simulation results. However, due to the stochastic nature of granular processes experimental results can show large variances. To include...
journal article 2022
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Mishra, V. (author), Ayas, C. (author), Langelaar, Matthijs (author), van Keulen, A. (author)
A remarkable elastic anisotropy in plates of austenitic stainless steel produced by the Wire and Arc Additive Manufacturing process is recently reported. The Young's modulus depends on the angle of orientation with respect to the material deposition direction. Here, for the first time, this anisotropy is exploited to maximize structural...
journal article 2022
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