Article
Engineering, Manufacturing
Lei Liang, Lianggang Guo
Summary: Groove-section profiled ring rolling (GSPRR) is a challenging forming process. In this study, an advanced feeding strategy driven by staged growth velocity is proposed for GSPRR to establish a stable rolling process and improve ring quality. Mathematical models and simulations are used to demonstrate the effectiveness of the new feeding strategy. It is recommended to choose intermediate values for the growth velocities to achieve better rolling stability and ring geometry accuracy.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Multidisciplinary Sciences
Hosein Zayadi, Ali Parvizi, Hamid Reza Farahmand, Davood Rahmatabadi
Summary: This study investigates the effects of main process parameters on geometrical defects in ring rolling, showing that mandrel feed speed and main roll rotational velocity have minimal impact on non-circularity defects. Increasing feed speed can reduce fishtail defects, while the presence of axial rolls enhances process stability.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Industrial
Lei Liang, Lianggang Guo, Zhaohui Liu, Panzhi Wang, Hua Zhang
Summary: This study elucidates the importance of the pulling effect in precision forming ring grooves in groove-section profiled ring rolling (GSPRR) of difficult-to-deform materials, quantitatively described by a pulling coefficient. Additionally, the thickness of the rectangular blank and the structural dimensions of the target rolled ring play crucial roles in the precision forming of ring grooves.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2021)
Article
Engineering, Civil
Nan Lv, Dong Liu, Jianguo Wang, Haodong Rao, Jungang Nan
Summary: The thermal processing of rolled rings leads to the accumulation of massive residual stresses, which seriously affects the structural strength, dimensional stability, and service life of the component. Effective control of the quenching residual compressive stresses is crucial. This research explores the stress control efficiency of rolling rings using the thermal bulge stress relief technique. The results show that the optimized process reduces stress levels to within about +/- 50 MP and increases the stress homogenization index by approximately 60-90%.
ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING
(2023)
Article
Engineering, Manufacturing
Qinghe Guan, Yong Lu, Kenan Deng, Shoudong Ma
Summary: This paper presents a comprehensive modeling approach to predict drilling force and hole expansion in Boring and Trepanning Association (BTA) drill processing. The proposed model combines analytical and numerical methods, experimentally determines the mathematical relationship between forces, and utilizes finite element simulation to predict drilling forces and hole expansion. Experimental validation on two materials demonstrates the accuracy and industrial applicability of the proposed method.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Article
Materials Science, Multidisciplinary
Pengfei Tian, Lin He, Tao Zhou, Feilong Du, Zichuan Zou, Xiaorong Zhou, Hongwan Jiang
Summary: Finite element simulation is used to predict cutting force, temperature, stress distribution, and chip formation in the cutting process. In this study, the reverse identification of J-C parameters for Inconel 718 alloy in different states was conducted, and the effects of cutting parameters and tool wear types on the machined surface were analyzed via numerical simulation. The research provides valuable insights into the constitutive parameters of superalloys and the control of machined surface quality.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Materials Science, Multidisciplinary
Cheng Zhang, Yingwei Wu, Yanan He, Yuanming Li, Shichao Liu, Jing Zhang, Wenxi Tian, G. H. Su, Suizheng Qiu, Junmei Wu
Summary: The study focused on the thermal-mechanical performances of Fully Ceramic Microencapsulated (FCM) fuel and developed a finite element method (FEM) model to analyze the behavior of TRISO-based FCM fuel. The research showed that temperature and stress are positively correlated with the packing fraction, and cases of fixed pellet power may lead to higher fuel temperature and stress compared with fixed particle power cases.
JOURNAL OF NUCLEAR MATERIALS
(2021)
Article
Engineering, Industrial
Christopher John Cleaver, Johannes Lohmar, Saeed Tamimi
Summary: A novel ring rolling process is proposed to produce shaped rings without circumferential ring growth, potentially saving material and energy. Experimental and simulation studies showed that profile depths of 75% of the original wall thickness can be achieved in a range of rings and operating conditions. Thermodnamic simulations indicated that reheats may be required to avoid excessive cooling and collapse in some cases.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2021)
Article
Engineering, Industrial
Lei Liang, Lianggang Guo, Jiadian Yang, Hua Zhang
Summary: This study investigates the formation mechanism and avoidance methods of geometric defects in the conical-section profiled ring rolling process through a growth velocity model and finite element simulations, proposing design adjustment schemes to improve geometric accuracy.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2022)
Article
Metallurgy & Metallurgical Engineering
Xiu-Bin Wang, De-Liang Yin, Xin-Ping Zhang
Summary: The geometric size effects (GSEs) of Lemaitre damage model parameters of a rolled CuAl5 alloy were evaluated using uniaxial tensile experiments and the finite element method. The results showed that the damage model parameters were influenced by the size effect. Dc increased with an increase in reduction ratio (Rr) at a constant thickness (t), and decreased and then increased with an increase in t at a constant Rr. Both epsilon D and epsilon R decreased with increasing Rr and decreasing t. New models relating the damage model parameters to t were established. The predicted results of the models agreed with the experimental ones.
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
(2023)
Article
Engineering, Industrial
Xuechao Li, Xiaoqing Chen, Lianggang Guo, Yongjie Han, Xiaotian Gao
Summary: This paper proposes an innovative spinning-rolling process for manufacturing the big-tapered profiled ring disk used in the rear joint of rockets. By combining intelligent control methods and a developed 3D FE model, the motion of the guide rolls is effectively controlled, and the feasibility of the process and reliability of the model are demonstrated.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2022)
Article
Mechanics
Peilin Fu, Jizhong Zhao, Xu Zhang, Guozheng Kang, Ping Wang, Qianhua Kan
Summary: A multi-layered model for thermo-elastic rolling/sliding contact with FG coating was established, showing that adjusting material property gradients can significantly improve the elastic shakedown limit.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Geological
Yang Liu, Jun-Jie Zheng, X. Zhao, Lingyun You
Summary: This paper presents an analytical solution for 2D electro-osmosis-enhanced preloading consolidation of unsaturated soil. The governing equations are expanded using the eigenfunction expansion method and transformed into a system of ODEs. The exact solution is found by using Laplace transform techniques. Numerical simulations and parametric analyses are conducted to verify the proposed solutions and study the effects of electro-osmosis and preloading on consolidation behavior.
Article
Engineering, Multidisciplinary
Janos Gyorgy Batorfi, Matyas Ando, Jurij J. Sidor
Summary: An analytical description of conventional cold rolling, based on finite element (FEM) and flow-line (FLM) method calculations, is developed with a novel mathematical algorithm. A new function accurately describes the possible reverse displacement near the surface of a rolled sheet and can determine the corresponding value of deformation for different friction coefficients and roll gap geometries. The model ensures accurate description of material flow for small thickness reductions and low friction coefficients, and has been tested on experimentally measured results and data from various literature sources.
ACTA POLYTECHNICA HUNGARICA
(2023)
Article
Materials Science, Multidisciplinary
P. Das, M. A. Islam, S. Somadder, M. A. Hasib
Summary: This study investigates the thermo-mechanical behavior of FGM hollow cylinders under mechanical loading and thermal stresses. The results indicate that the properties of the cylinder can be altered by changing the non-dimensional parameter beta, and the effect of various boundary conditions on stress fields is significant, with thermal boundary conditions having a more dominant influence.
MATERIALS TODAY COMMUNICATIONS
(2022)
Article
Mechanics
Luca Quagliato, Joonhee Lee, Dosuck Han, Hyungyil Lee, Naksoo Kim
Summary: In this study, a function correlating failure strain and stress triaxiality was developed through combined experimental and finite element analysis, providing a viable failure criterion for complex components made of short fiber-reinforced polymers during the design stage where direct testing is not possible.
ENGINEERING FRACTURE MECHANICS
(2021)
Article
Engineering, Mechanical
Joeun Choi, Luca Quagliato, Seungro Lee, Junghoon Shin, Naksoo Kim
Summary: This paper conducted multiaxial fatigue experiments on a specific rubber material and proposed a semi-empirical fatigue model suitable for complex stress states. Machine learning models were used for fatigue life prediction, with the Deep Neural Network model showing the highest accuracy.
INTERNATIONAL JOURNAL OF FATIGUE
(2021)
Article
Materials Science, Multidisciplinary
Irene Mirandola, Guido A. Berti, Roberto Caracciolo, Seungro Lee, Naksoo Kim, Luca Quagliato
Summary: This research uses finite element simulations and machine learning models to estimate the energy consumption in metal forming processes, with Gradient Boosting (GB) identified as the most reliable method for predicting force integral changes during forming processes. The trained ML models demonstrate high accuracy in various experimental cases, proving their reliability in estimating energy consumption.
Article
Materials Science, Composites
Sewon Jang, Luca Quagliato, Naksoo Kim
Summary: This paper investigates the failure mechanism of metal skin and long carbon fibers reinforced core structures through tensile and bending tests, SEM image analysis, and finite element simulations. Different models are utilized for the MS, adhesive layers, and CFRP core, with experimental and numerical comparisons showing a maximum deviation of 3.5% in maximum load, verifying the reliability of the proposed approach.
ADVANCED COMPOSITE MATERIALS
(2022)
Article
Computer Science, Interdisciplinary Applications
Joao Henrique Fonseca, Luca Quagliato, Seungjong Yun, Dosuck Han, Naksoo Kim, Hyungyil Lee
Summary: The study focuses on optimizing the design of a recycled-carbon fiber-reinforced plastic/metal hybrid engine cradle, achieving a 36% weight reduction while effectively balancing functionality and injection molding suitability. The results contribute to efficient multimaterial design in the automotive industry.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Computer Science, Information Systems
Devon Dollahon, Seokchang Ryu, Hangue Park
Summary: Motor control between the thumb and index finger is crucial for precise object manipulation. This study investigates the effect of interaction gain on motor control by changing the contact surface properties. The results show that subjects applied less force to the thumb when the contact surface area was smaller, and the force applied to the index finger remained unchanged. Tactile memory also influenced the pinching force.
Article
Materials Science, Multidisciplinary
Seungro Lee, Joonhee Park, Naksoo Kim, Taeyong Lee, Luca Quagliato
Summary: This paper presents a machine learning methodology that can learn from simulation results, experimental data, or sensor signals, and is capable of predicting and optimizing specific user-defined process and design parameters. The methodology utilizes an enhanced Extreme Gradient Boosting (XGB) algorithm and a metaheuristic search algorithm based on Differential Evolution (DE) architecture for optimization.
MATERIALS & DESIGN
(2023)
Article
Engineering, Mechanical
L. Quagliato, M. Ricotta, M. Zappalorto, S. C. Ryu, N. Kim
Summary: This study investigates the static behavior of notched specimens made of polyamide-6 thermoplastic material reinforced with short carbon fibers. By utilizing scanning electron microscopy, detailed damage analysis was performed on the fractured specimens to identify the main damaging mechanisms. The experimental data were converted into Generalized Notch Stress Intensity Factors (GSIFs) and summarized in a single scatter band.
THEORETICAL AND APPLIED FRACTURE MECHANICS
(2022)
Article
Metallurgy & Metallurgical Engineering
Vahid Modanloo, Behnam Akhoundi, Taeyong Lee, Luca Quagliato
Summary: This research investigates the improvement in sheet metal formability through the use of a mineral grease as a pressure medium in the hydrodynamic deep drawing process. Both experiments and finite-element method (FEM) simulations were conducted on flat-bottom cups made of pure copper and DIN 1.0338 steel. The results show that the mineral grease medium reduces the sheet metal thinning by an average of 15% and 10% on the corner edges, with negligible thickness variation on the cup walls. However, it also leads to a 16% increase in the forming force compared to the water pressure medium.
STEEL RESEARCH INTERNATIONAL
(2023)
Article
Polymer Science
Mattia Perin, Youngbin Lim, Guido A. Berti, Taeyong Lee, Kai Jin, Luca Quagliato
Summary: This research proposes an algorithm to identify the best injection gate location based on a 3D model and user-defined loading conditions. Through finite volume method simulations, machine learning models, and experimental validation, the study demonstrates that optimizing fiber orientation distribution can enhance the mechanical performance of thermoplastic injection-molded components.
Article
Computer Science, Information Systems
Chanin Jung, Yulhwa Lee, Haeun Yum, Chani Kwon, Changsoon Jang, Luca Quagliato, Taeyong Lee
Summary: In this research, a small-scale, customizable, two-wheels design is proposed for the automatic correction of destabilization. The design uses two counter-rotating wheels controlled by an IMU sensor and an ARDUINO Uno Rev3 microcontroller. The proposed architecture achieved 100% correction accuracy in a +/- 21 degrees range, but showed decreased performance for angles up to +/- 30 degrees. It also demonstrated the capability to predict correct PWM values within an average intervention time of 1.28s under random acceleration.
Article
Computer Science, Information Systems
Luca Quagliato, Seok Chang Ryu
Summary: A new FEA model was developed to investigate the design and tissue interaction of actively steerable needles with a rotational tip joint in soft tissue. The model allows simulation of needle insertion along non-predetermined paths and study of various steering motions by changing needle geometry and boundary conditions. The results demonstrate the importance of tip geometry in tissue damage gradient.
