Revolutionizing manufacturing industries with physics based simulations
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Discover cutting-edge solutions for granular and fluid-granular material simulations. Harness the power of our advanced GPU computing and high fidelity physics methods to accelerate you digital journey.
Advanced GPU Computing
Experience the speed and precision of GPU computing in our simulations, revolutionizing the way industries handle granular materials.
Digital Twin Technology
Transform equipment monitoring and optimization with our customized software solutions, creating digital twins for enhanced operational insights.
Industry Impact
Elevate your equipment understanding with a DEM or SPH simulation, optimizing productivity and efficiency.
Empowering Industries with Customized Solutions
Unlocking Innovative Possibilities in Simulation and Digital Twins
At Blaze Computing LTD, we specialize in providing consulting services for industries dealing with granular and fluid-granular materials. Our world-leading physics engine Blaze, is powered by GPU computing, offering unmatched accuracy and efficiency.
We also create custom software solutions, enabling the creation and utilization of digital twins for various equipment with ease.
Challenging the status quo
High Fidelity Physics Based Simulations
1] SAG mill with Ore, Media and Slurry
2] Heated Screw with phase change to SPH
3] Cohesive and Dry materials mixing
4] Stirred mill - fully resolved slurry
6] Flexible Dino foot in terrain
5] Ball Mill - fully resolved slurry
7] Coating with a fine powder
Extensive scientific validation for over a decade
- Coupling SPH-DEM method for simulating the dynamic response of breakwater structures under severe free surface flow,Powder Technology, https://doi.org/10.1016/j.powtec.2024.119805
- Comparing open-source DEM frameworks for simulations of common bulk processes,Computer Physics Communications, https://doi.org/10.1016/j.cpc.2023.109066
- Precise control of discharge of spherical particles by cone valve configuration: Insert – Converging orifice, Powder Technology, https://doi.org/10.1016/j.powtec.2023.119225
- A resolved SPH-DEM coupling method for analysing the interaction of polyhedral granular materials with fluid, Ocean Engineering, https://doi.org/10.1016/j.oceaneng.2023.115938
- DEM analysis of the influence of stirrer design on die filling with forced powder feeding, Particuology, https://doi.org/10.1016/j.partic.2023.08.018
- The influence of cohesion on polyhedral shapes during mixing in a drum,
- Chemical Engineering Science, https://doi.org/10.1016/j.ces.2023.118499
- Investigation of granular dynamics in a continuous blender using the GPU-enhanced discrete element method, Powder Technology, https://doi.org/10.1016/j.powtec.2022.117968
- Numerical analysis of die filling with a forced feeder using GPU-enhanced discrete element methods,International Journal of Pharmaceutics, https://doi.org/10.1016/j.ijpharm.2022.121861
- A DEM study on the thermal conduction of granular material in a rotating drum using polyhedral particles on GPUs, Chemical Engineering Science, https://doi.org/10.1016/j.ces.2022.117491
- Verification of Polyhedral DEM with Laboratory Grinding Mill Experiments, KONA Powder and Particle Journal, 2022, https://doi.org/10.14356/kona.2022013
- A meshless Lagrangian particle-based porosity formulation for under-resolved generalised finite difference-DEM coupling in fluidised beds, Powder Technology, https://doi.org/10.1016/j.powtec.2021.117079
- Boundary condition enforcement for renormalised weakly compressible meshless Lagrangian methods,Engineering Analysis with Boundary Elements,https://doi.org/10.1016/j.enganabound.2021.04.024
- Modelling realistic ballast shape to study the lateral pull behaviour using GPU computing EPJ Web Conf. 249 06003 (2021), https://doi.org/10.1051/epjconf/202124906003
- The influence of faceted particle shapes on material dynamics in screw conveying, Chemical Engineering Science, https://doi.org/10.1016/j.ces.2021.116654
- Study on the effect of grain morphology on shear strength in granular materials via GPU based discrete element method simulations, Powder Technology, https://doi.org/10.1016/j.powtec.2021.04.038
- GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator, Particuology, https://doi.org/10.1016/j.partic.2021.03.007
- Simulation of rock fracture process based on GPU-accelerated discrete element method, Powder Technology, https://doi.org/10.1016/j.powtec.2020.09.009
- DEM analysis of residence time distribution during twin screw granulation, Powder Technology, https://doi.org/10.1016/j.powtec.2020.09.049
- Analysis of parallel spatial partitioning algorithms for GPU based DEM, Computers and Geotechnics,https://doi.org/10.1016/j.compgeo.2020.103708
- The effect of particle shape on the packed bed effective thermal conductivity based on DEM with polyhedral particles on the GPU, Chemical Engineering Science, https://doi.org/10.1016/j.ces.2020.115584
- Benefits of virtual calibration for discrete element parameter estimation from bulk experiments. Granular Matter 21, 110 (2019). https://doi.org/10.1007/s10035-019-0962-y
- A cohesive fracture model for discrete element method based on polyhedral blocks, Powder Technology, https://doi.org/10.1016/j.powtec.2019.09.068
- 3D gradient corrected SPH for fully resolved particle–fluid interactions, Applied Mathematical Modelling, https://doi.org/10.1016/j.apm.2019.09.030
- Study on the particle breakage of ballast based on a GPU accelerated discrete element method, Geoscience Frontiers, https://doi.org/10.1016/j.gsf.2019.06.006
- A numerical investigation into the effect of angular particle shape on blast furnace burden topography and percolation using a GPU solved discrete element model, Chemical Engineering Science, https://doi.org/10.1016/j.ces.2019.03.077
- Industrial scale simulations of tablet coating using GPU based DEM: A validation study, Chemical Engineering Science, https://doi.org/10.1016/j.ces.2019.03.029
- The Evolution of Grinding Mill Power Models. Mining, Metallurgy & Exploration 36, 151–157 (2019). https://doi.org/10.1007/s42461-018-0037-3
- Effect of particle shape in grinding mills using a GPU based DEM code, Minerals Engineering, https://doi.org/10.1016/j.mineng.2018.09.019
- Discrete element model study into effects of particle shape on backfill response to cyclic loading behind an integral bridge abutment. Granular Matter 20, 68 (2018). https://doi.org/10.1007/s10035-018-0840-z
- Large-scale GPU based DEM modeling of mixing using irregularly shaped particles, Advanced Powder Technology, https://doi.org/10.1016/j.apt.2018.06.028
- Hopper flow of irregularly shaped particles (non-convex polyhedra): GPU-based DEM simulation and experimental validation, Chemical Engineering Science, https://doi.org/10.1016/j.ces.2018.05.011
- A study of shape non-uniformity and poly-dispersity in hopper discharge of spherical and polyhedral particle systems using the Blaze-DEM GPU code, Applied Mathematics and Computation https://doi.org/10.1016/j.amc.2017.03.037
- Blaze-DEMGPU: Modular high performance DEM framework for the GPU architecture SoftwareX, https://doi.org/10.1016/j.softx.2016.04.004
- Collision detection of convex polyhedra on the NVIDIA GPU architecture for the discrete element method, Applied Mathematics and Computation, https://doi.org/10.1016/j.amc.2014.10.013
- Development of a convex polyhedral discrete element simulation framework for NVIDIA Kepler based GPUs, Journal of Computational and Applied Mathematics, https://doi.org/10.1016/j.cam.2013.12.032
- Discrete element simulation of mill charge in 3D using the BLAZE-DEM GPU framework, Minerals Engineering, https://doi.org/10.1016/j.mineng.2015.05.010
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