Article
Engineering, Electrical & Electronic
Yuheng Huang, Meng Nie, Binghui Li, Bozhi Wu, Anqi Zheng, Kuibo Yin, Litao Sun
Summary: This study designs a thermal driving-based MEMS device and develops an in situ real-time quantitative dynamic testing technique, which is applied to TiO2 nanowires. The results show that the TiO2 nanowires exhibit excellent stability under both static and dynamic stretching. Furthermore, the effects of ion beam irradiation on the properties of the nanowires are also analyzed.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Mechanical
Isha Paliwal, M. Ramji
Summary: This study examines the mechanical response and failure behavior of a hybrid joint fastened using multiple micro-bolts subjected to quasi-static tensile loading numerically and experimentally. The hybrid joint fastened using a single standard bolt and only adhesively bonded joint configuration are also evaluated for a comparative purpose. The experimental analysis shows that the hybrid joint fastened using micro-bolts deformed greater at the peak load before the adhesive layer got disbanded, thereby demonstrating a greater fatigue life with gradual stiffness degradation behavior as compared to the other two joint configurations.
ENGINEERING FAILURE ANALYSIS
(2023)
Article
Materials Science, Multidisciplinary
Hossein Hosseini-Toudeshky, Azizollah Navaei
Summary: A combined experimental and numerical analysis approach is used to study the bonding performance and formation of the fiber/matrix interphase in composites. Tensile tests on glass fiber/epoxy resin specimens are performed, and digital image correlation technique is used to measure elongations. The obtained experimental data is used to calculate the interphase elastic modulus through inverse elastic finite element solution. The results show that the proposed procedure can provide overall mechanical properties of the interphase.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Article
Engineering, Mechanical
D. Depriester, J. P. Goulmy, L. Barrallier
Summary: With the increasing computational capability of modern computers, the Crystal Plasticity Finite Element Method (CPFEM) is gaining popularity in materials science for modeling the mechanical behavior of polycrystals. However, estimating the parameters of the CP constitutive laws remains challenging due to their indirect relation to the macroscopic behavior of polycrystalline aggregates. This paper proposes a two-step optimization scheme using a simple model and CPFEM simulations, along with experimental data, to determine these coefficients and assess CPFEM's ability to replicate in situ tensile tests.
INTERNATIONAL JOURNAL OF PLASTICITY
(2023)
Article
Engineering, Electrical & Electronic
Xin Xu, Wenyun Ju, Bin Wang, Kai Sun
Summary: This paper proposes a new measurement-based approach utilizing complete post-disturbance data for robust damping estimation independent of the measuring window. Case studies validate the accuracy and robustness of the proposed approach compared with existing methods. Additionally, three factors influencing damping estimation in practical applications are discussed.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Manufacturing
Olivier Lampron, Alessandra Lingua, Daniel Therriault, Martin Levesque
Summary: This study comprehensively characterizes the fracture and tensile behavior of unidirectional PLA parts manufactured by MEX. The effect of crack tip to filament orientation angle on fracture behavior was investigated through three-point bending tests on SENB specimens printed at different build angles. Tensile tests on dogbone specimens were also conducted to measure the elastic properties and ultimate strength distribution. SEM was used to observe the printed mesostructures and fracture surfaces, and DSC was used to evaluate the level of crystallinity in the printed structures. The resulting data allows the development of fracture models for MEX fabricated parts.
ADDITIVE MANUFACTURING
(2023)
Review
Materials Science, Multidisciplinary
Ping Tao, Wei Zhou, Xinting Miao, Jian Peng, Wenming Liu
Summary: This paper reviews recent progress in the characterization of hydrogen embrittlement achieved via small-sized sample testing methods, including tensile tests, small punch tests, and nanoindentation tests. It discusses the advantages of using small-sized specimens for direct observations of hydrogen influences on mechanical properties and microstructure evolution. It also examines the quantitative analysis of hydrogen embrittlement sensitivity and the interaction between hydrogen and dislocation in metals through small punch tests and nanoindentation tests.
Article
Engineering, Civil
Zhen Wang, Tengfei Ren, Tao Suo, Andrea Manes
Summary: In this study, the quasi-static biaxial fracture behavior of aluminosilicate glass is investigated using the Ball-On-Ring and Ring-On-Ring tests aided by a three-dimensional Digital Image Correlation technique. The results show the formation of a uniform strain distribution field below the load ring for ROR specimens, and a gradient strain distribution for BOR specimens. Low-velocity impact BOR tests reveal a dynamic strengthening effect, and FEM simulations with the JH-2 material model demonstrate good consistency with experimental results for quasi-static loading conditions.
THIN-WALLED STRUCTURES
(2021)
Article
Materials Science, Multidisciplinary
J. P. Goulmy, D. Depriester, F. Guittonneau, L. Barrallier, S. Jegou
Summary: Understanding the mechanisms at the microstructure scale is crucial for modeling material behavior. This study explores the use of high resolution digital image correlation (HRDIC) combined with in situ Scanning Electron Microscope (SEM) tests to establish a connection between polycrystalline modeling and experiment. The tensile behavior of a pure copper polycrystal is evaluated using HRDIC, and the impact of grain orientation on mechanical behavior is discussed through EBSD analysis.
MATERIALS CHARACTERIZATION
(2022)
Article
Optics
Guowen Wang, Laibin Zhang, Xuefeng Yao
Summary: This paper proposes a methodology of applying convolutional neural network (CNN) in solving 3D-DIC tasks. The method utilizes a multi-configuration stereo speckle dataset generation algorithm, an affine-transformation-based disparity calculation method, and a light-weight CNN for subpixel correlation. The experiments demonstrate that the CNN-based method achieves real-time and high-precision calculation with a comparable accuracy to DIC and excellent robustness to intensity changes.
OPTICS AND LASERS IN ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Appurva Jain, Abhishek Mishra, Vikrant Tiwari
Summary: This work focuses on predicting rupture in the tensile tests of SS304 stainless steel sheet. Tensile test experiments were conducted and the strain was measured. Experimental results were used for numerical simulation and four macroscopic rupture criteria were applied. The numerical results showed good agreement with the experimental results. Damage factor and critical values were calculated for prediction of rupture, with different criteria showing different levels of agreement.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Construction & Building Technology
Rodriguez-Marcos Maria, Villanueva-Llaurado Paula, Fernandez-Gomez Jaime, Lopez-Rebollo Jorge
Summary: This research compares FRCM systems with different carbon grids and using different mortars to evaluate the influence of grid and mortar on the mechanical properties of the reinforcement. Tensile tests with Digital Image Correlation were conducted, and the results indicate that systems with impregnated grid perform significantly better, especially when combined with high strength mortars. Improvement was observed in terms of ultimate tensile strength, crack spacing, trilinear stress-strain curve, and efficiency factor.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Chemistry, Physical
Samuel Hammarberg, Jorgen Kajberg, Simon Larsson, Ramin Moshfegh, Par Jonsen
Summary: This study presents a new method for obtaining the out-of-plane properties of micro-sandwich materials and highlights their importance and application prospects in the automotive industry. By designing test tools and using digital image correlation for analysis, it is found that the method is reliable and repeatable, providing better data support for manufacturing and simulation.
Article
Mechanics
Norberto Feito, Eugenio Giner, Jose Vicente Calvo, M. Henar Miguelez
Summary: In this study, the authors present an experimental and numerical analysis of the effect of delamination combined with uniaxial compressive loads on the stability and structure failure of laminate composite materials. The 3D Digital Imagen Correlation technique was applied to predict and validate the buckling initiation and propagation, and cohesive zone model (CZM) was used to predict delamination. The study provides important insights for predicting crack initiation and progression in laminate materials.
COMPOSITE STRUCTURES
(2022)
Article
Chemistry, Analytical
Seonho Seok, HyungDal Park, Yong-Jun Kim, Jinseok Kim
Summary: This paper presents the mechanical behaviors of different types of polyimide feedthroughs used in implantable polymer encapsulation. Tensile tests were performed to characterize the mechanical properties of flexible PCBs (FPCBs) and photosensitive polyimides (PSPIs), and the results were used for finite element method modeling and simulations to assess mechanical behaviors.
