ASHWANI KUMAR

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Parametric topology optimization approach for sustainable development of customized orthotic appliances using additive manufacturing
  Mechanics of Advanced Materials and Structures 2024 DOI: 10.1080/15376494.2023.2214908
  +Save
• Hybrid machine learning approach for accurate and expeditious 3D scanning to enhance rapid prototyping reliability in orthotics using RSM-RSMOGA-MOGANN
  Artificial Intelligence for Engineering Design, Analysis and Manufacturing 2024 DOI: 10.1017/s0890060424000064
  +Save
• Multidisciplinary topology and material optimization approach for developing patient-specific limb orthosis using 3D printing
  Rapid Prototyping Journal 2023 DOI: 10.1108/rpj-12-2022-0435
  +Save
• Practicing Topology Optimization Workflow for Structural Simulation and Customized Splint Fabrication
  2022 DOI: 10.1109/ICCMSO58359.2022.00029
  +Save
• Topological Simulation to Recognize the Steady State Thermal Behavior of Customized Finger Splint
  2022 DOI: 10.1109/ICCMSO58359.2022.00069
  +Save
• Adopting additive manufacturing as a cleaner fabrication framework for topologically optimized orthotic devices: Implications over sustainable rehabilitation
  Cleaner Engineering and Technology 2022 DOI: 10.1016/j.clet.2022.100559
  +Save
• Exercising hybrid statistical tools GA-RSM, GA-ANN and GA-ANFIS to optimize FDM process parameters for tensile strength improvement
  CIRP Journal of Manufacturing Science and Technology 2020 DOI: 10.1016/j.cirpj.2020.05.009
  +Save
• Improved pullulan production and process optimization using novel GA–ANN and GA–ANFIS hybrid statistical tools
  Biomolecules 2020 DOI: 10.3390/biom10010124
  +Save
• Smart diagnostics devices through artificial intelligence and mechanobiological approaches
  3 Biotech 2020 DOI: 10.1007/s13205-020-02342-x
  +Save
• Improved biobleaching of mixed hardwood pulp and process optimization using novel GA-ANN and GA-ANFIS hybrid statistical tools
  Bioresource Technology 2019 DOI: 10.1016/j.biortech.2018.09.115
  +Save