Wykaz publikacji wybranego autora

Jakub Bryła, mgr inż.

asystent

Wydział Inżynierii Mechanicznej i Robotyki
WIMiR-krm, Katedra Robotyki i Mechatroniki

  • 2020

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / inżynieria mechaniczna

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0003-3047-498X orcid iD

ResearcherID: DUZ-9549-2022

Scopus: 57193993668

PBN: 5f0e7bc27523405869ccc292

System Informacyjny AGH (SkOs)

1
  • Compact and lightweight 3D printed platform for testing attitude determination and control system of small satellites
2
  • Enhancement of dynamic properties for a gas foil bearing using structural components made of shape memory alloys – experimental study
3
  • Experimental and numerical assessment of the characteristics describing superelasticity in shape memory alloys – influence of boundary conditions
4
  • Experimental characterization of the thermomechanical properties of a gas foil bearing
5
  • Experimental identification of the gas foil bearings operational conditions – study on mechanical and thermal properties
6
  • Improving capabilities of constitutive modeling of shape memory alloys for solving dynamic problems via application of neural networks
7
  • Multi-axis Fused Deposition Modeling using parallel manipulator integrated with a Cartesian 3D printer
8
  • Nonlocal elasticity in shape memory alloys modeled using peridynamics for solving dynamic problems
9
  • Phase transformation in shape memory alloys: a numerical approach for thermomechanical modeling via peridynamics
10
  • Study on the importance of a slicer selection for the 3D printing process parameters via the investigation of G-code readings
11
  • Superelasticity in shape memory alloys via peridynamics
12
  • Superelasticity in shape memory alloys via peridynamics
13
14
  • Uncertainty quantification for the properties of a structure made of SMA utilising numerical model
15
  • Wear analysis of 3D-printed spur and herringbone gears used in automated retail kiosks based on computer vision and statistical methods