Congratulations to Evan Munroe for successfully defending his Master’s thesis on “Structural Design of a Morphing Serpentine Inlet using a Multi-Material Topology Optimization Methodology“. Evan has made a great contribution to the SMSD group. We are wishing you the best of luck in your future pursuits!
Ben Blackford Publication!
Ben’s paper “The effect of scan path on thermal gradient during selective
laser melting” has been published to The International Journal of Advanced Manufacturing Technology. Ben’s work makes use of a finite element model to compare thermal gradients in the selective laser melting process. Congratulations Ben!
This paper can be found at : https://doi.org/10.1007/s00170-020-05899-2
Daniel Kriskapa promotion to PhD program!
SMSD is excited to announce that Daniel for will now be completing his PhD under the supervision of Dr. Kim. Congratulations, Daniel! We are looking forward to working with you over the coming years!
SMSD welcomes eight new Master’s students!
SMSD is pleased to announce eight new students will be joining the group as of summer 2020! All of these students will be pursuing their Master’s degree under the supervision of Dr. Kim. This includes:
Wesley Dossett,
Andrew Hardman,
Yuhao Huang,
Shayan Jalayer,
Owen Pintar,
Ben Sinek,
Tim Sirola,
and Melissa Young.
Best of luck over the next two years!
Graeme Sabiston publication on additive manufacturing
Congratulations to Graeme for his paper “Void region restriction for additive manufacturing via a diffusion physics approach” in IJNME!
Graeme’s work is intended to increase the manufacturability of components created using topology optimization for additive manufacturing. His methodology works in both two- and three-dimensional problems using a particle swarm technique.
Publication link: https://doi.org/10.1002/nme.6434
Luke Crispo, Rubens Bohrer, and Stephen Roper Publication
Congratulations to Luke, Rubens, and Stephen on their publication of "Spatial gradient interface detection in topology optimization for an unstructured mesh".
A technique for spatial gradient calculation is developed, using a neighbouring element search strategy. Their method works for 3D unstructured meshes, a versatile approach for FE solvers. Congratulations on your work!
Link: https://doi.org/10.1007/s00158-020-02688-z
Neil Trivers and Chris Carrick publication to SMO
Neil and Chris’s paper “Design optimization of a business aircraft seat considering static and dynamic certification loading and manufacturability” has been published to Structural and Multidisciplinary Optimization. Their work covers the design of an aircraft seat, through multiple stages of optimization for stiffness and crash-worthiness. Congratulations!
Their paper can be found at: https://doi.org/10.1007/s00158-020-02650-z
Stephen Roper publication to Structural and Multidisciplinary Optimization
Congratulations to Stephen for his publication of “A topology optimization implementation for depth-of-focus extension of binary phase filters” to SMO! His work was done in conjunction with Yonsei University, and covers a novel topology optimization in the applications of optics. We look forward to your many future publications Stephen!
Stephen’s paper can be found at: https://doi.org/10.1007/s00158-020-02611-6
Braden Warwick publication to SAE International Journal
Braden’s paper, “Damping of Powder Metal Rings”, has been published to the SAE International Journal of Vehicle Dynamics, Stability, and NVH. His work covers the mechanical damping properties of sintered metals in the application of gears and machinery.
Congratulations Braden and we look forward to your future work!
His paper can be found at: https://doi:10.4271/10-04-03-0017
Jack Olsen publication to SMO
Congratulations to Jack on his publication of “Design for additive manufacturing: 3D simultaneous topology and build orientation optimization” to Structural and Multidisciplinary Optimization.
Jack’s work is on development of simultaneous topology and build orientation optimization for additive manufacturing using a spatial density gradient approach. Great work Jack!
His work can be found at: https://doi.org/10.1007/s00158-020-02590-8