Search Results - "Kizhakkinan, Umesh"

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  1. 1

    Uncertainty propagation in fused filament fabrication process: a multiscale approach by Kizhakkinan, Umesh, Rosen, David W., Raghavan, Nagarajan

    “…In the fused filament fabrication (FFF) additive manufacturing process, a part is manufactured by layer-by-layer deposition of thermoplastic filaments extruded…”
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    Journal Article
  2. 2

    Experimental investigation of fracture toughness of fused deposition modeling 3D-printed PLA parts by Kizhakkinan, Umesh, Rosen, David W., Raghavan, Nagarajan

    Published in Materials today : proceedings (2022)
    “…•The fracture toughness of PLA parts printed using FDM additive manufacturing process is experimentally investigated.•Fracture toughness values for each…”
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    Journal Article
  3. 3

    A part-scale, feature-based surrogate model for residual stresses in the laser powder bed fusion process by Dong, Guoying, Wong, Jian Cheng, Lestandi, Lucas, Mikula, Jakub, Vastola, Guglielmo, Jhon, Mark Hyunpong, Dao, My Ha, Kizhakkinan, Umesh, Ford, Clive Stanley, Rosen, David William

    Published in Journal of materials processing technology (01-06-2022)
    “…Over the past decade, the Laser Powder Bed Fusion (LPBF) process has been widely used in the fabrication of industrial parts with advanced functions. It is…”
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    Journal Article
  4. 4

    Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression by Kizhakkinan, Umesh, Duong, Pham Luu Trung, Laskowski, Robert, Vastola, Guglielmo, Rosen, David W., Raghavan, Nagarajan

    “…A multi-physics high-fidelity computational model is required to study the melting and grain growth phenomena in a laser powder-bed fusion (LPBF) additive…”
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    Journal Article
  5. 5

    Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design by Wong, Jian Cheng, Ooi, Chin Chun, Chattoraj, Joyjit, Lestandi, Lucas, Dong, Guoying, Kizhakkinan, Umesh, Rosen, David William, Jhon, Mark Hyunpong, Dao, My Ha

    “…Computational Intelligence (CI) techniques have shown great potential as a surrogate model of expensive physics simulation, with demonstrated ability to make…”
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    Conference Proceeding
  6. 6

    Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design by Wong, Jian Cheng, Ooi, Chin Chun, Chattoraj, Joyjit, Lestandi, Lucas, Dong, Guoying, Kizhakkinan, Umesh, Rosen, David William, Jhon, Mark Hyunpong, Dao, My Ha

    Published 01-02-2023
    “…Computational Intelligence (CI) techniques have shown great potential as a surrogate model of expensive physics simulation, with demonstrated ability to make…”
    Get full text
    Journal Article