Article
Nanoscience & Nanotechnology
Zhe Jia, Ben Guan, Yong Zang, Yuan Wang, Lei Mu
Summary: The study investigated the flow properties of an aluminum alloy under different strain rates and developed a modified Johnson-Cook model to accurately predict its behavior with a prediction error of only 0.0415%.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2021)
Article
Materials Science, Multidisciplinary
Yuntian Wang, Xiangguo Zeng, Huayan Chen, Xin Yang, Fang Wang, Lingxi Zeng
Summary: This study presented the classical Johnson-Cook model with a new temperature term and established an inner relationship among temperature, elastic modulus, specific heat capacity at constant pressure, and Poisson's ratio. The improved model can effectively predict mechanical behavior even at temperatures lower than the reference temperature, without the need for fitting parameters. Using a multi-objective approach combined with various methods, the proposed model successfully reproduced stress-strain responses of metallic materials under complex conditions.
RESULTS IN PHYSICS
(2021)
Article
Automation & Control Systems
Sohail Akram, Syed Husain Imran Jaffery, Zahid Anwar, Mushtaq Khan, Muhammad Ali Khan
Summary: This research focuses on sustainable machining of aluminum alloy, using an inverse methodology to determine the JC material constants and verifying their predictive capability under high-speed machining conditions.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Lorcan O'Toole, Ravi Sankar Haridas, Rajiv S. Mishra, Fengzhou Fang
Summary: Numerical modelling of CoCrMo alloys provides a cost-effective means of evaluating machining processes. To develop an accurate numerical model, a constitutive model of the workpiece material is implemented. The Johnson-Cook parameters for the JC constitutive material model were determined experimentally and validated. Quasi-static and dynamic mechanical testing was conducted, and an FEM model was successfully built to simulate the material's behavior.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Materials Science, Multidisciplinary
Wenjin Shen, Fengmei Xue, Chenzhen Li, Yi Liu, Xinyao Mo, Qianrui Gao
Summary: In this study, uniaxial tensile tests were conducted on 6061 aluminum alloy sheets at different strain rates and temperatures. The results showed that the flow stresses were negatively correlated with the strain rates and temperatures. A modified J-C model, based on the Johnson Cook (J-C) constitutive model, was constructed to accurately describe the plastic stress-strain relationship of 6061 aluminum alloy under various deformation conditions. The good agreement between experimental and simulated results further validated the usefulness of the modified J-C model. Moreover, scanning electron microscopy (SEM) was used to analyze the microscopic mechanism by which deformation speeds affect ductility.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Chemistry, Physical
Sergey A. Zelepugin, Roman O. Cherepanov, Nadezhda V. Pakhnutova
Summary: This study proposes an optimization algorithm based on the Nesterov gradient-descent method to select the Johnson-Cook model constants for achieving consistency between numerical simulation and experimental data. The numerical calculation with the optimized model parameters shows good agreement with the experimental and literature data, improving the accuracy of the simulation.
Article
Engineering, Mechanical
Jeonghwan Choo, Yongsu Jung, Hwisang Jo, Juhaing Kim, Ikjin Lee
Summary: This study adopts a probabilistic approach to determine the Johnson-Cook model parameters, resolving the limitations of traditional methods and improving efficiency and accuracy. By utilizing D-vine, the proposed method is capable of sampling as many J-C model parameters as necessary from the estimated probability model. Moreover, accurately modeling the inherent variability of material properties is achieved by estimating the joint probability distribution as copulas.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Engineering, Multidisciplinary
Alban de Vaucorbeil, Vinh Phu Nguyen, Tushar Kanti Mandal
Summary: This study presents mesh objective simulations of large strain fracture of metals using a Total Lagrangian Material Point Method, incorporating nonlocal formulations of the Johnson-Cook damage criterion. The integral nonlocal formulation results in incorrect damage initiation, while the gradient enhanced formulation shows good agreement with previous findings and experiments in simulating metal fracture.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Marine
Xiao Tian, Jingjing Pei, Jingjing Rong
Summary: This paper comprehensively investigates the constitutive and failure models of Q235 steel using quasi-static and dynamic tensile tests. The results show that the Johnson-Cook (J-C) model fits well with the experimental data, confirming its accuracy in high-strain rate applications.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Gabriel de Paiva Silva, Deborah de Oliveira, Lucival Malcher
Summary: Traditional machining in micro-scale faces challenges including bad chip formation, high burrs, tool wear, and low surface quality. The size effect in micro-machining contributes to these problems, as the cutting-edge radius of the tool is similar to the minimum uncut chip thickness (MUCT). In this study, FEM simulations and the Johnson-Cook plasticity model were used to analyze chip formation in micro-cutting of Inconel 718. Results show that a rounded tool with an edge radius of 5 µm leads to higher forces, worse chip formation, and worse surface quality compared to a sharp tool with an edge radius of 1 µm.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Chemistry, Physical
Shengli Yang, Pei Liang, Fuyang Gao, Dejun Song, Peng Jiang, Min Zhao, Ning Kong
Summary: The high temperature flow behavior of TA31 titanium alloy has been studied through thermomechanical simulation, and a reliable constitutive model has been developed based on experimental data. The modified Johnson-Cook model shows better accuracy and efficiency in predicting the flow stress of annealed TA31 titanium alloy compared to the Arrhenius-type model.
Article
Materials Science, Multidisciplinary
Mohamed Toumi Nasri, Fethi Abbassi, Furqan Ahmad, Wardi Makhloufi, Mahfoudh Ayadi, Hassan Mehboob, Heung Soap Choi
Summary: In this study, the identification of Johnson-Cook parameters for A1050 sheet metal and the effect of different temperature gradients on formability were investigated. Tensile tests, modified Erichsen tests, and numerical simulation were conducted to obtain the parameters and failure criterion. The results were validated using the steam bulge test. A good correlation between numerical and experimental results was observed, indicating that hot forming improves formability and thermal gradient affects the position of the failure zone in deformed specimens.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Article
Materials Science, Multidisciplinary
Guoliang Xie, Xiaotong Yu, Zhenfeng Gao, Wenli Xue, Lei Zheng
Summary: This study focuses on the mechanical properties and deformation behaviors of Ni-W-Co-C alloy under high strain rates or high temperatures, finding that its hardening behaviors vary significantly with increasing temperatures and that strain rate can affect its mechanical properties. By introducing a new constant lambda' to modify the Johnson-Cook model, a feasible constitutive model is established for the promising applications of this alloy.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Mathematics, Applied
X. B. Yan, Y. X. Zhang, T. Wei
Summary: This paper focuses on identifying the fractional order and diffusion coefficient in a one-dimensional time fractional diffusion wave equation from boundary observation data. The uniqueness of recovering both parameters simultaneously is proved through Laplace transform and Gel'fand-Levitan theory. The study also presents a numerical implementation using the iterative regularizing ensemble Kalman method, with four numerical examples demonstrating the method's performance.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2021)
Article
Chemistry, Physical
Limin Shi, Tong Wang, Liang Wang, Erliang Liu
Summary: This paper focuses on the thermal deformation behavior of gamma-TiAl alloy at higher temperatures and strain rates, and improves the Johnson-Cook constitutive model for better prediction.
Article
Green & Sustainable Science & Technology
Jinqiang Ning, Daniel E. Sievers, Hamid Garmestani, Steven Y. Liang
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2020)
Article
Automation & Control Systems
Jinqiang Ning, Maxwell Praniewicz, Wenjia Wang, James R. Dobbs, Steven Y. Liang
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2020)
Article
Optics
Xia Ji, Elham Mirkoohi, Jinqiang Ning, Steven Y. Liang
OPTICS AND LASERS IN ENGINEERING
(2020)
Article
Engineering, Manufacturing
Jinqiang Ning, Daniel E. Sievers, Hamid Garmestani, Steven Y. Liang
JOURNAL OF MANUFACTURING PROCESSES
(2020)
Article
Engineering, Mechanical
Jinqiang Ning, Daniel E. Sievers, Hamid Garmestani, Steven Y. Liang
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2020)
Article
Chemistry, Physical
Jinqiang Ning, Wenjia Wang, Xuan Ning, Daniel E. Sievers, Hamid Garmestani, Steven Y. Liang
Article
Robotics
David W. Collinson, Hannah M. Emnett, Jinqiang Ning, Mitra J. Z. Hartmann, Lynda Catherine Brinson
Summary: Many mammals rely on their vibrissae (whiskers) to explore their environment tactually. Research has shown that tapered vibrissae can accurately determine the three-dimensional location of contact with an object. Creating biomimetic tapered whiskers has been challenging, but a new study has developed artificial whiskers that outperform previous non-tapered filaments in predicting contact points.
Article
Chemistry, Physical
Yuanzhe Dong, Jinqiang Ning, Peng Dong, Yujian Ren, Shengdun Zhao
Article
Automation & Control Systems
Wenjia Wang, Jinqiang Ning, Steven Y. Liang
Summary: This study proposes an analytical modeling method for predicting lack-of-fusion porosity in parts fabricated by LPBF, taking into account boundary heat transfer and laser power absorption sensitivity. The model accurately predicts temperature distribution and porosity by considering complex boundary effects, demonstrating high computational efficiency and accuracy. The method has the potential to be a valuable tool for optimizing process parameters in LPBF.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Automation & Control Systems
Wenjia Wang, Jinqiang Ning, Steven Y. Liang
Summary: This study develops an analytical modeling method with closed-form solutions to predict keyhole-induced porosity in LPBF. The model shows good agreement with experimental data, indicating acceptable predictive accuracy. The proposed model is computationally efficient and can help researchers rapidly predict porosity and understand its physics.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Wenjia Wang, Jinqiang Ning, Steven Y. Liang
Summary: A complete analytical approach was proposed to predict the occurrence of defects in laser powder bed fusion, taking into account factors such as boundary heat loss and powder bed porosity. The predicted thresholds of these defects under various process conditions showed good agreement with experimental results. The proposed analytical methods show higher computational efficiency than finite element methods, making them a useful tool for optimizing process conditions in laser powder bed fusion.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Multidisciplinary
Wenjia Wang, Jinqiang Ning, Hamid Garmestani, Steven Y. Liang
Summary: This research proposes an analytical method for predicting the molten pool size in laser-based powder bed fusion (LPBF) additive manufacturing by taking into account the process conditions-dependent absorptivity. The method uses an empirical model of absorptivity to calculate the laser absorptivity under different process conditions, and an analytical point-moving heat source model to calculate the temperature distribution of the build-in LPBF. The predicted molten pool widths and depths were found to be close to the experimental measurements, and the computational time of the model was shown to be efficient.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Manufacturing
Wenjia Wang, Jinqiang Ning, Steven Y. Liang
Summary: The paper introduces an analytical modeling method to predict the in-situ distortion in laser cladding process without using iteration-based numerical calculations. The effects of build edges and geometry on thermal convection and radiation are considered, demonstrating good predictive accuracy and low computational cost for studying full-field temperature and distortion of geometrically complex parts.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING
(2021)
Article
Engineering, Biomedical
Jinqiang Ning, Vinh Nguyen, Yong Huang, Karl T. Hartwig, Steven Y. Liang
BIO-DESIGN AND MANUFACTURING
(2019)