Article
Materials Science, Multidisciplinary
D. Halabuk, T. Navrat
Summary: This study introduces a universal procedure that uses a neural network to correct the error caused by plasticity effect in high uniform residual stress measurement using the hole-drilling method. The procedure performs well across a wide range of material parameters, hole diameters, and strain gauge rosettes.
EXPERIMENTAL MECHANICS
(2022)
Article
Materials Science, Composites
Mohamed M. A. Ammar, Bijan Shirinzadeh
Summary: The effect of the robotic fiber placement (RFP) process on induced residual stresses (RSs) in thermoset composites is investigated in this study. It is found that changes in process parameters could significantly affect the induced RSs of the composites.
POLYMER COMPOSITES
(2022)
Article
Materials Science, Multidisciplinary
Xiaodong Liu, Xiaodong Wang, Zhidong Guan, Ting Jiang, Kunhao Geng, Zengshan Li
Summary: This paper enhances the incremental hole-drilling (IHD) method for calculating in-plane stress distribution in composite laminates. An experiment was conducted to validate the accuracy and efficiency of the improved IHD method, showing good agreement with finite element method (FEM) simulation results.
MECHANICS OF MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Tulin Xiong, Lu Wang, Xianzhi Gao, Guangyan Liu
Summary: Residual stress distribution is crucial for maintaining the normal working of structures, and conventional methods suffer from disadvantages. This study developed a high-performance method based on deep learning that effectively overcomes these drawbacks, improving calculation efficiency, and verifying accuracy and efficiency through experiments.
APPLIED SCIENCES-BASEL
(2022)
Article
Materials Science, Multidisciplinary
D. Halabuk, T. Navrat
Summary: This study proposes a novel method for evaluating uniform residual stresses in cylindrical bodies by simulating different residual stress states in cylindrical bodies and using the method described in ASTM E837 standard for evaluation. The four sets of calibration coefficients in the new procedure show a negligible relative error in evaluating residual stresses.
EXPERIMENTAL MECHANICS
(2022)
Article
Materials Science, Multidisciplinary
G. S. Schajer, L. To
Summary: The study aimed to develop a practical method for simulating an infinite boundary in finite element models using an outer ring boundary to create a more compact and computationally efficient model. The research involved developing mathematical formulas specifying the material properties of the outer ring and conducting calibration calculations using different loading models. Results showed that the boundary ring is effective in simulating deformations around a stressed hole, which is useful for computing the calibration coefficients needed for hole-drilling residual stress measurements.
EXPERIMENTAL MECHANICS
(2022)
Article
Chemistry, Analytical
Mohamed M. A. Ammar, Bijan Shirinzadeh, Kai Zhong Lai, Weichen Wei
Summary: This study presents three calibration approaches for the hole-drilling method (HDM), using a total of 72 finite element models and 144 simulations to calibrate the strain sensors' measurements. The results show better estimation of residual stresses (RSs) using the third approach, while the second approach underestimates the stresses.
Article
Mechanics
Arturo Leos, Kostiantyn Vasylevskyi, Igor Tsukrov, Todd Gross, Borys Drach
Summary: This study investigates the effects of the matrix material constitutive model and the presence of defects on the development of manufacturing induced residual stresses using Finite Element (FE) analysis. The results suggest that viscoelastic matrix properties should be considered in order to accurately reproduce the residual stress fields, and the possible presence of cracks at the tow/matrix interface should not be neglected.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Multidisciplinary
Manuel A. Vega, Michael D. Todd
Summary: This article introduces a method of using Bayesian neural networks to learn damage features and using uncertainty estimates for cost-informed decision-making in structural health monitoring. An example of miter gates is presented to demonstrate the applicability of Bayesian neural networks.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Nanoscience & Nanotechnology
Edward William Horton, Eralp Demir, Dylan Agius, Anna Kareer, David M. Collins, Mahmoud Mostafavi, David Knowles
Summary: Validating crystal plasticity models requires careful consideration of all aspects, especially the initial conditions and the inclusion of residual stresses. In this study, high resolution electron backscatter diffraction (HR-EBSD) was used to measure and process type-III residual elastic stresses in 316L stainless steel. The modelled stress distributions were compared with experimental measurements, and although some similarities were observed, further physical effects must be accounted for in crystal plasticity models.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2023)
Review
Acoustics
William Camilo Ariza-Zambrano, Alberto Luiz Serpa
Summary: This article introduces a control method based on artificial neural networks for vibration control of flexible structures, mainly implemented through inverse control method. An application example and two variations of problems were discussed, evaluating the performance of the control method using full-order plant model and model reduction. The results demonstrate that the control method based on inverse model using neural networks is effective in addressing such problems.
JOURNAL OF VIBRATION AND CONTROL
(2021)
Article
Materials Science, Multidisciplinary
Max Burley, Jimmy E. Campbell, Rebecca Reiff-Musgrove, James Dean, Trevor William Clyne
Summary: This paper investigates the impact of residual stresses on the outcomes of an indentation plastometry technique using large spherical indenters. It is found that residual stress levels may influence the results, but the overall sensitivity is low, leading to relatively accurate inferred stress-strain curves.
ADVANCED ENGINEERING MATERIALS
(2021)
Article
Engineering, Mechanical
Yin Zhang, Qing-Jie Li, Ting Zhu, Ju Li
Summary: This article introduces a hybrid finite element method based on neural networks, which learns the constitutive relations of materials from full-field data. By using the full-field data of non-uniform displacement fields, neural networks can be efficiently trained to accurately predict the constitutive relations of materials.
EXTREME MECHANICS LETTERS
(2022)
Article
Computer Science, Interdisciplinary Applications
Sebastian Ossandon, Mauricio Barrientos
Summary: An innovative numerical method based on a neural network approach is used to solve inverse problems involving the Dirichlet eigenfrequencies for different partial differential operators in bounded domains filled with solid composite materials. The inhomogeneity of the investigated materials is characterized by a vector that is designed to control the constituent mixture of solid homogeneous materials that compose these materials. Numerical examples that demonstrate the applicability of this methodology are presented.
JOURNAL OF COMPUTATIONAL SCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Pei-Ching Kung, Mahtab Heydari, Nien-Ti Tsou, Bruce L. Tai
Summary: The objective of this study is to develop and test a framework for immediate visualization of bone drilling temperature based on a neural network and a linear time-invariant model. The results show that the framework can accurately predict the temperature distribution during bone drilling, with an average error of less than 5%. Future improvements include strategies for training data selection and formatting.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Materials Science, Ceramics
Alberto Gomez-Gomez, Benedikt Winhard, Erica Lilleodden, Norbert Huber, Kaline P. Furlan
Summary: Macroporous structures, especially ceramic-based inverse opal structures, have various technological applications. This study analyzes the mechanical properties and thermal stability of aluminum oxide inverse opal structures with different macropore sizes and shell thicknesses. The results show that the thermal stability increases with increasing shell thickness and macropore size, but it is not related to the mechanical properties.
JOURNAL OF THE AMERICAN CERAMIC SOCIETY
(2023)
Article
Engineering, Mechanical
Lucas Azevedo, Nikolai Kashaev, Christian Horstmann, Volker Ventzke, Carlos Furtado, Pedro M. G. P. Moreira, Paulo J. Tavares
Summary: This study investigates the effect of laser shock peening (LSP) on the fatigue behavior of AISI D2 steel samples. The results show that LSP treatment can suppress fatigue crack propagation, increase fatigue strength, and reduce the tendency to form secondary cracks.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Materials Science, Multidisciplinary
N. Huber, I. Ryl, Y. Wu, M. Hablitzel, B. Zandersons, C. Richert, E. Lilleodden
Summary: The analysis of the densification behavior of nanoporous metals in nanoindentation is challenging in simulations and experiments. A deeper understanding of the densification behavior provides valuable information about the different deformation mechanisms in nanoindentation and compression experiments. The developed two-scale model allows for predicting the densification field for variable microstructure and elastic-plastic behavior. It could be shown that the penetration depth of the densification field is mainly controlled by the ratio of the macroscopic work hardening rate to yield stress. The shape as well as the value at characteristic isolines of densification depend mainly on the macroscopic plastic response of the nanoporous material. This could be confirmed by nanoindentation experiments, where the densification under the indenter was measured for ligament sizes from 35 to 150 nm. Although the depth of the densification field was underpredicted by the simulations, the experiments confirmed the predicted trends.
JOURNAL OF MATERIALS RESEARCH
(2023)
Article
Engineering, Manufacturing
Paul Sandmann, Soren Keller, Nikolai Kashaev, Shaaz Ghouse, Paul A. Hooper, Benjamin Klusemann, Catrin M. Davies
Summary: This study demonstrates that laser shock peening (LSP) technology can effectively improve the residual stress state of components manufactured by laser powder bed fusion (LPBF), while traditional heat treatments may not completely eliminate these detrimental stresses. Experimental results show that LSP can convert the surface tensile stresses of LPBF components into beneficial compressive residual stresses.
ADDITIVE MANUFACTURING
(2022)
Article
Materials Science, Multidisciplinary
Ruslan Kuliiev, Stefan Riekehr, Volker Ventzke, Soeren Keller, Nikolai Kashaev
Summary: This paper investigates the effect of testing frequency on the fatigue behavior of metallic materials. The results show that changes in testing frequency significantly influence the mechanical response of Ti-6Al-4V alloy, while no substantial impact on the fatigue properties of AA2024 and Inconel 718 alloys was identified. These findings contribute to a more complete understanding of the frequency sensitivity of alloys and provide insights for the design and evaluation of materials used in high-frequency applications.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2023)
Article
Engineering, Manufacturing
Mengjie Wang, Nikolai Kashaev
Summary: The present study investigates the processability and optimal process window of high-strength Al-alloy AA7050 in powder-based laser-directed energy deposition (L-DED). The results show that the scanning strategy and robot program have a strong effect on buildability, geometrical accuracy, melt pool visibility, porosity level, and crack initiation. By choosing an appropriate combination of scanning strategy and robot program, hot cracks can be reduced or eliminated, and the geometrical accuracy can be well maintained for specimens with any height. Appropriate L-DED process parameters were identified for the deposition of structures up to 24 layers with a lower porosity level (about 3.7 +/- 0.8 %) and lower amount of hot cracks, comparable with that in the 12-layer structure.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Materials Science, Multidisciplinary
Theano N. Examilioti, Wenya Li, Nikolai Kashaev, Volker Ventzke, Benjamin Klusemann, Murat Tiryakioglu, Nikolaos D. Alexopoulos
Summary: In this study, the anisotropic mechanical behavior of Al-Cu-Li (AA2198) alloy was investigated under different artificial ageing conditions and for different thicknesses of the material. The results showed that the grain structure did not change significantly when applying different ageing times. The major precipitates observed were T1 (Al2CuLi) phases, which increased in size with artificial ageing time. The specimens extracted in the diagonal direction showed high variation in mechanical properties compared to the other two directions investigated.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Materials Science, Multidisciplinary
Camila F. Rodrigues, Lucian Blaga, Benjamin Klusemann
Summary: This work investigates the influence of Friction Riveting processing conditions on FR4-PCB substrate/AA2024 rivet joints in terms of process temperature evolution, joint formation, and joint physical-chemical and mechanical properties. The joints were manufactured using 4 mm diameter AA-2024-T3 rivets and FR4 laminates of 1.5 mm thickness with single or double copper-clad layers. The evolution of process temperature evolution was recorded on the FR4 substrate surface and correlated with the resulting joint formation.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Materials Science, Multidisciplinary
Iman Davoodi Kermani, Lena Dyckhoff, Roland C. Aydin, Norbert Huber, Christian J. Cyron
Summary: In this study, a highly efficient simulated annealing (SA) framework is proposed to generate synthetic representative volume elements (RVE) with network structures. The framework allows the user to predefine microstructural characteristics at both the network level and the level of individual ligaments using probability distributions. Mechanical properties of various RVEs generated by this framework are analyzed using the finite element method, establishing links between microstructural descriptors and macromechanical properties of materials with ligamentous microstructures.
COMPUTATIONAL MATERIALS SCIENCE
(2023)
Article
Engineering, Industrial
Camila Caroline de Castro, Junjun Shen, Jorge Fernandez dos Santos, Benjamin Klusemann
Summary: Despite the limitations of workability and low ductility, Mg and its alloys are widely used in structural applications. Constrained Friction Processing (CFP), a novel processing technique based on Refill Friction Stir Spot Welding, is proposed as an alternative to overcome the challenges in processing Mg and its alloys. CFP has shown the ability to produce fine-grained rods with a homogeneous microstructure and advantages such as no need for additional preheating and shorter processing times.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2023)
Article
Engineering, Industrial
Gaohui Li, Ting Chen, Banglong Fu, Junjun Shen, Luciano Bergmann, Li Zhou, Ke Chen, Jorge F. dos Santos, Benjamin Klusemann
Summary: By attaching the upper stationary shoulder to the plasticized metal zone, the bobbin tool's rotating parts are minimized, reducing handling forces and torque during the welding process, and increasing the maximum welding speed and quality.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2023)
Article
Engineering, Mechanical
Lena Dyckhoff, Norbert Huber
Summary: By using finite element simulations, the elastic behavior and yield surfaces of nanoporous metals were studied. It was found that using data-driven and hybrid artificial neural networks could provide the most accurate prediction results.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Mechanics
E. A. Gachegova, R. Sikhamov, V. Ventzke, N. Kashaev, O. A. Plekhov
Summary: This study investigates the effect of laser shock peening on the fatigue life of an OT4-0 titanium alloy. It is found that laser shock peening can change the fatigue fracture mechanism and significantly increase the service life of the samples.
JOURNAL OF APPLIED MECHANICS AND TECHNICAL PHYSICS
(2022)
Proceedings Paper
Construction & Building Technology
A. Prokhorov, A. Vshivkov, O. Plekhov, N. Kashaev
Summary: This work focuses on investigating the impact of laser shock peening (LSP) on the thermo-mechanical properties of metals. ARMCO-iron and Titanium Grade 2 were used as the materials of interest. After undergoing LSP, the residual stress and heat generation during fatigue loading were examined. The results showed that LSP qualitatively altered the temperature evolution under cyclic loading in both materials, with significantly increased heating (energy dissipation) compared to the initial state.
4TH INTERNATIONAL CONFERENCE ON STRUCTURAL INTEGRITY (ICSI 2021)
(2022)