Prof.dr.ir. M. (Matthijs) Langelaar
Prof.dr.ir. M. (Matthijs) Langelaar
Profiel
Matthijs Langelaar is Full Professor at Delft University of Technology, leading of the Computational Design and Mechanics research group. The focus of his research is to advance computational design techniques in particular for demanding high-tech applications, with a specific emphasis on topology optimization. He and his research team are currently intensively involved in the ongoing research effort to define design approaches for additive manufacturing.
He holds a PhD degree from Delft University of Technology and an MSc degree in Mechanical Engineering from University of Twente. He has also worked at DLR (German Aerospace Center, Robotics Institute), University of Colorado at Boulder in the US, with Prof. Kurt Maute), at the Univeristy of Freiburg in Germany, with Prof. Jan Korvink) and at Seoul National University with Profs. Yoon Young Kim and Gil Ho Yoon, in Korea.
Expertise
Publicaties
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2024
Diversity-Based Topology Optimization of Soft Robotic Grippers
Josh Pinskier / Xing Wang / Lois Liow / Yue Xie / Prabhat Kumar / Matthijs Langelaar / David Howard
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2023
Automated design of pneumatic soft grippers through design-dependent multi-material topology optimization
Josh Pinskier / Prabhat Kumar / Matthijs Langelaar / David Howard
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2023
Bridging the gap between mathematical optimization and structural engineering
Design, experiments and numerical simulation of optimized concrete girders
Nadine Pressmair / Yi Xia / Hongfei Wu / Matthijs Langelaar / Max A.N. Hendriks / Ahmad Majdouba / Mihir Mogra / Hezi Grisaro / Oded Amir / Benjamin Kromoser -
2023
Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes
Rajit Ranjan / Matthijs Langelaar / Fred Van Keulen / Can Ayas
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2023
Design for material properties of additively manufactured metals using topology optimization
Vibhas Mishra / Can Ayas / Matthijs Langelaar
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Onderwijs 2023
Onderwijs 2022
Media
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2021-06-01
Researchers develop novel topology optimization technology for large-scale 3D printing
Verscheen in: 3D Printing Industry
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2020-12-10
Lichtgewicht ‘vliegend tapijt’ maakt chipmachine van ASML nóg beter
Verscheen in: Eindhovens Dagblad
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2020-11-06
Topologie-optimalisatie en 3d-printing brengen waferstage naar hoger plan
Verscheen in: Mechatronica en Machinebouw
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2020-10-07
Terugblik op succesvolle HI Speedtrack: Topologie Optimalisatie
Verscheen in: Holland Instrumentation
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2020-10-01
Beyond additive manufacturing— Generative design shapes for milling too
Verscheen in: Design World
Nevenwerkzaamheden
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2023-11-23 - 2025-11-23
Advisering/onderzoek en overig
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2022-10-21 - 2024-10-01
Onderwijs
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2022-11-01 - 2024-11-01
Onderwijs