Scientific Visualisation

Scientific visualisation helps bridge computation and decision-making by making high-dimensional results understandable to broader technical audiences. This page summarizes my extracurricular and applied work in scientific visualisation.

I create photorealistic renders directly from simulation data for third parties. The work translates complex computational output into visuals that remain technically grounded while being accessible to wider audiences. These visualisations have appeared in public presentations, university course content, and dissertation covers.

Capability showcase

Showcase of visualisation capabilities across personal research and third-party projects.

Annotated process schematic of laser powder bed fusion

L-PBF process schematic

Schematic visualisation of laser powder bed fusion (L-PBF), highlighting powder spreading, selective melting, and layer-wise consolidation to communicate the process sequence and dominant physical mechanisms.

Schematic process visualisation of tomographic volumetric additive manufacturing

TVAM process schematic

Process visualisation of tomographic volumetric additive manufacturing (TVAM), illustrating projected light-dose accumulation and volumetric curing during resin rotation.

Molecular-level visualisation of BAPO photo-initiator photodissociation

BAPO photodissociation visualisation

Molecular-level visualisation of BAPO photo-initiator photodissociation, used to communicate how photon absorption drives radical generation and initiates polymerisation pathways.

Summary of published scientific visualisations not related to my own research:

Photorealistic L-PBF simulation video

Photorealistic visualisation created from L-PBF process simulation data.

Watch the video on YouTube.

Dissertation cover design

Contributed to thesis cover design with a photorealistic render based on true simulation data.

Dorussen, Bram Johannes Antonius, A Particle Based Numerical Analysis of Metal Laser Powder Bed Additive Manufacturing: From Powder to Product, PhD thesis, Eindhoven University of Technology, 2023. ISBN: 978-90-386-5849-0.