Browsing by Author "Salcedo, Eduardo"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    A Combined Modeling and Experimental Study of Tensile Properties of Additively Manufactured Polymeric Composite Materials
    (Springer, 2020) Meng, Lingbin; Yang, Xuehui; Salcedo, Eduardo; Baek, Dong-Cheon; Ryu, Jong Eun; Lu, Zhe; Zhang, Jing; Mechanical and Energy Engineering, School of Engineering and Technology
    In this study, the mechanical properties, in terms of stress–strain curves, of additively manufactured polymeric composite materials, Tango black plus (TB+), vero white plus (VW ), and their intermediate materials with different mixing ratios, are reported. The ultimate tensile strength and elongation at break are experimentally measured using ASTM standard tensile test. As the content of VM+ increases, the strength of the polymeric materials increases and elongation decreases. Additionally, the Shore A hardness of the materials increases with reduced TB+ concentration. In parallel to the experiment, hyperelastic models are employed to fit the experimental stress–strain curves. The shear modulus of the materials is obtained from the Arruda–Boyce model, and it increases with reduced concentration of TB+. Due to the good quality of the fitted data, it is suggested that the Arruda–Boyce model is the best model for modeling the additively manufactured polymeric materials. With the well characterized and modeled mechanical properties of these hyperelastic materials, designers can conduct computational study for application in flexible electronics field.
  • Thumbnail Image
    Item
    Simulation and Validation of Three Dimension Functionally Graded Materials by Material Jetting
    (Elsevier, 2018-08) Salcedo, Eduardo; Baek, Dongcheon; Berndt, Aaron; Ryu, Jong Eun; Mechanical Engineering, School of Engineering and Technology
    The goal of this work is to validate the material models for parts created with a Material Jetting 3-dimensional printer through the comparison of Finite Element Analysis (FEA) simulations and physical tests. The strain maps generated by a video extensometer for multi-material samples are compared to the FEA results based on our material models. Two base materials (ABS-like and rubber-like) and their composites are co-printed in the graded tensile test samples. The graded islands are embedded in the rubber-like test specimens. The simulations were conducted utilizing previously fitted material models, a two-parameter Mooney-Rivlin model for the elastic materials (Tango Black+, DM95, and DM60) and a bilinear model for the rigid material (Vero White+). The results show that the simulation results based on our material models can predict the deformation behaviors of the multi-material samples during a uniaxial tensile test. Our simulation results are able to predict the maximum strain in the matrix material (TB+) within 5% error. Both global deformation pattern and local strain level confirm the validity of the simulated material models.