Article
Chemistry, Physical
Gaetano Calogero, Domenica Raciti, Pablo Acosta-Alba, Fuccio Cristiano, Ioannis Deretzis, Giuseppe Fisicaro, Karim Huet, Sebastien Kerdiles, Alberto Sciuto, Antonino La Magna
Summary: Researchers propose a fully atomistic simulation method for ultraviolet nanosecond laser annealing (LA) to study complex 3D nanostructured systems. The methodology is validated through benchmarks against phase-field models and experimental data, and provides insights into the formation, deformation, and coalescence of liquid nuclei during irradiation.
NPJ COMPUTATIONAL MATERIALS
(2022)
Review
Computer Science, Interdisciplinary Applications
N. Cheimarios, G. Kokkoris, A. G. Boudouvis
Summary: Chemical vapor deposition (CVD) is a well-established process for producing thin solid films for industrial and scientific applications for over 30 years. It is a multiscale process involving both cm to m scale reactors and micro-/nano- to atomic-scale deposited films. Various multiscale models and methodologies have been proposed over the years for the design, analysis, and optimization of the CVD process.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Article
Chemistry, Physical
Malte Schmidt, Philipp Huke, Christoph Gerhard, Knut Partes
Summary: Direct metal deposition (DMD) can be used for surface cladding, part repair, and additive manufacturing with consistent quality ensured by process monitoring and control. The study found that element lines do not occur regularly and only non-ionised elements can be detected. Increasing laser power affects the intensity of specific Cr I lines.
Article
Optics
Jovan Jovanovic, Ronald Fernando Garcia Ruiz
Summary: Colinear laser spectroscopy of fast atomic beams is a useful tool for precision experiments, but the spectral resolution is typically limited. This study explores the use of transient interference phenomena to improve the resolution. By providing a satisfactory description of previously observed line shapes and proposing alternative experimental schemes, the resolution in fast ion-beam experiments can potentially be enhanced.
Article
Mechanics
Lu Li, Shuai Li, Bi Zhang, Tai-Hsi Fan
Summary: The article introduces a theoretical model to predict the melting and wetting behavior of SLB on diamond grits using a powder-based additive manufacturing technique. The study involves laser heating in a chamber filled with argon gas to drive melting dynamics.
Article
Computer Science, Interdisciplinary Applications
Yalchin Efendiev, Wing Tat Leung, Wenyuan Li, Sai-Mang Pun, Petr N. Vabishchevich
Summary: In this paper, the authors study a class of convection-diffusion equations with memory effects and propose a dememorization technique to simplify computations. They investigate the relationship between dememorized equations and micro-scale equations and consider both implicit and partially explicit methods. Stability analysis and numerical results are presented to support their findings.
JOURNAL OF COMPUTATIONAL PHYSICS
(2023)
Review
Thermodynamics
Li Chen, An He, Jianlin Zhao, Qinjun Kang, Zeng-Yao Li, Jan Carmeliet, Naoki Shikazono, Wen-Quan Tao
Summary: This review summarizes the recent advances and challenges in pore-scale modeling, discussing its practical applications in geoscience, polymer exchange membrane fuel cells, and solid oxide fuel cells. Notable results from pore-scale modeling are presented, while the challenges facing the development of pore-scale models are also discussed.
PROGRESS IN ENERGY AND COMBUSTION SCIENCE
(2022)
Article
Thermodynamics
Qingfei Bian, Kong Ling, Renkun Dai, Min Zeng
Summary: A three-dimensional numerical layer cladding model was developed in this study to investigate the heat and mass transfer characteristics and formation mechanism in the DLD manufacturing process. The results showed that in any cladding layer, a smooth, continuous, equal height, and common width cladding layer is formed. The sub-layer reverse scanning strategy can effectively improve surface roughness, and the front layer residual heat has significant influence on the multilayer cladding process. Additionally, the layer evolution will enter a quasi-steady state.
NUMERICAL HEAT TRANSFER PART A-APPLICATIONS
(2022)
Article
Materials Science, Coatings & Films
Keigo Tanaka, Takuto Yamaguchi
Summary: A direct observation technique using quartz glass visualized the bubble generation processes inside a molten pool during laser cladding. The processes differed between the cladding of Inconel 625 and WC-12 wt% Co powders.
SURFACE & COATINGS TECHNOLOGY
(2022)
Article
Engineering, Manufacturing
Sabrina Vogt, Marco Gobel, Eliana Fu
Summary: The commonly used surface protection technologies have limitations, and high-speed laser cladding may be a promising alternative. This technology uses a laser beam to heat powder particles and deposit them onto a metallic substrate, allowing for local thickness adjustments and multi-layer or multi-material approaches. In this article, the authors investigate the effects of high surface rates on properties using Rockit(R)401 and Inconel(R) 625 as coating materials.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2022)
Article
Materials Science, Multidisciplinary
T. Isensee, D. Tourret
Summary: In this study, a multi-scale Dendritic Needle Network (DNN) model is introduced to simulate the effects of buoyant flow on crystal growth dynamics and microstructure selection in directional solidification. By comparing with experimental and phase-field simulation results under different alloy compositions and growth conditions, it is found that the average liquid flow velocity and primary dendrite arm spacing play important roles in the oscillatory growth behavior.
Article
Engineering, Mechanical
A. C. Bozzi, F. D. Ramos, D. B. O. Vargas
Summary: Cobalt superalloys are widely used in corrosive and high-temperature environments due to their excellent wear and corrosion resistance. Laser cladding coatings technology is a promising and economically viable method for producing coatings from cobalt-based alloys. The wear coefficients of these alloys are influenced by both the abrasives and the alloy, and the presence of different micro-mechanisms of wear is observed.
Article
Computer Science, Interdisciplinary Applications
Habiba Zahir Imam, Hamdan Al-Musaibeli, Yufan Zheng, Pablo Martinez, Rafiq Ahmad
Summary: This study proposes a vision-based Robotic Laser Cladding Repair Cell (RLCRC) that uses deep learning and computer vision techniques to automatically detect and repair damaged areas. The results validate the efficacy of the framework, showing a significant reduction in repair time.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
Article
Engineering, Manufacturing
I. Noll, L. Koppka, T. Bartel, A. Menzel
Summary: For the broader industrial usage of metal additive manufactured parts, especially made by laser powder bed fusion, a better prediction and understanding of the warpage and of eigenstresses within the final part are necessary. In this study, a multiscale approach combining various modelling levels is proposed to improve the accuracy and efficiency of the simulation process for metal additive manufactured parts.
ADDITIVE MANUFACTURING
(2022)
Article
Mechanics
Maximilian Koehler, Philipp Junker, Daniel Balzani
Summary: In this paper, a novel semi-analytic approach for the two-scale computational modeling of concentration transport in packed bed reactors is proposed. The method involves investigating the diffusion process in catalytic pellets to identify the sink term for the macroscopic advection-diffusion-reaction process. Results from calibration against a macroscopic mass transport experiment allow for the determination of the effective diffusion parameters of the catalyst pellets.
ARCHIVE OF APPLIED MECHANICS
(2022)
Review
Materials Science, Multidisciplinary
Amir Mostafaei, Amy M. Elliott, John E. Barnes, Fangzhou Li, Wenda Tan, Corson L. Cramer, Peeyush Nandwana, Markus Chmielus
Summary: Binder jet 3D printing, as a non-beam-based additive manufacturing method, shows great promise in rapid production of complex structures, but faces challenges in optimizing printing and post-processing methods. Understanding the physical processes during 3D printing and the science of densification post-sintering is crucial for enhancing part performance.
PROGRESS IN MATERIALS SCIENCE
(2021)
Article
Materials Science, Multidisciplinary
Jeongwoo Lee, Yung C. Shin
Summary: Molecular dynamics simulations revealed that polycrystalline structures have more realistic elastic modulus predictions for NiTi, compared to single crystalline structures, with the major difference being in atomic stress distribution.
Article
Automation & Control Systems
Neil S. Bailey, Yung C. Shin
Summary: In this study, a hybrid Cellular Automata/Phase Field model and a solid-state phase transformation model were used to predict microstructure evolution and solid-state phase transformation during laser direct deposition. The results showed that the microstructure of the target track was strongly influenced by heat, and the predicted hardness values were consistent with experimental results.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Materials Science, Multidisciplinary
Mohamed G. Elkhateeb, Shunyu Liu, Yung C. Shin
Summary: In this paper, a computationally efficient multiscale framework based on XMSG is proposed for predicting the mechanical properties of AM Ti6Al4V parts. It is shown that XMSG offers higher computational efficiency with the same level of accuracy compared to other conventional methods and is capable of predicting the tensile, compression, and anisotropic behavior of AM Ti6Al4V.
MECHANICS OF MATERIALS
(2022)
Article
Materials Science, Coatings & Films
Corbin M. Grohol, Yung C. Shin, Alex Frank
Summary: This study presents a method for depositing quench-sensitive age-hardening aluminum alloy clads without the need for solution heat treatment. The method involves using a high-powered diode laser and off-axis powder injection for melting the material. Quenching with liquid nitrogen immediately after the cladding process improves cooling rate and increases hardness response. The method was successfully demonstrated on aluminum alloy 6061 powder. In-situ liquid nitrogen quenching improved the clad hardness, and transmission electron microscopy revealed increased precipitate density as the reason for the hardness increase.
SURFACE & COATINGS TECHNOLOGY
(2022)
Article
Materials Science, Multidisciplinary
V Harinarayana, Y. C. Shin
Summary: In this study, a comprehensive design and fabrication of a three-dimensional axisymmetric auxetic structure that exhibits uniform and axisymmetric transverse deformation under longitudinal compression loading is proposed. The design of the metamaterial is generated by revolving a two-dimensional parabolic curve along the axis of rotation and subsequently perforating the structure periodically with elliptical voids. The significance of the perforations is elucidated by comparing the metamaterial structure to a plain structure.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Chemistry, Physical
Shunyu Liu, Corbin M. Grohol, Yung C. Shin
Summary: This paper demonstrates the effectiveness of utilizing the blown-powder additive manufacturing process, directed energy deposition (DED), for the design and synthesis of high entropy alloys (HEAs). Different microstructures of CoCrFeNiTi HEAs were successfully synthesized through a careful design of composition and particle size. The HEAs exhibited high oxidation resistance and hardness values, comparable to popular wear-resistant materials.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Thermodynamics
Akash Aggarwal, Yung C. Shin, Arvind Kumar
Summary: A predictive powder-bed model was developed to study the coupling between optical and thermo-hydrodynamical phenomena in the laser powder bed fusion process. Discrete element modeling was used to predict the configuration of powder particles, and thermo-fluidic simulations were conducted to investigate various aspects of the process. The model successfully incorporated factors such as laser power, scanning speed, beam spot diameter, and powder layer thickness to analyze melting modes and transient beam absorption.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Materials Science, Multidisciplinary
Shardul Kamat, Xuxiao Li, Benjamin Stump, Alex Plotkowski, Wenda Tan
Summary: Experimental work has shown promising results in controlling additive manufacturing metal grain structure. However, the effects of processing parameters on the grain structure are difficult to understand and predict solely from experiments. Therefore, a modeling framework is developed to couple a macro-scale thermal model and a meso-scale microstructure model. This framework is applied to electron beam additive manufacturing to study the complex solidification conditions and resulting grain structures. The framework has the potential to significantly reduce computational expenses and be applied to component-level problems.
MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Bin Zhang, Yung C. Shin
Summary: An adaptive Gaussian mixture filter is proposed in this paper to accurately estimate the state distribution of highly nonlinear dynamic systems by refining Gaussian mixture models based on the local severity of nonlinearity.
Article
Engineering, Manufacturing
J. Lee, S. Akin, J. R. Walsh, M. B. G. Jun, H. Lee, Y. C. Shin
Summary: This study develops functionally gradient multi-layer coatings on the Nitinol surface for orthopedic implant applications. It aims to eliminate potentially toxic Ni ion release and improve biocompatibility. The coatings are manufactured using the direct energy deposition (DED) technique and have superior bonding strength due to their completely alloyed microstructure. A hydroxyapatite (HA) biomedical over-coating is also applied to enhance biocompatibility. The results show promising potential for the novel Nitinol structure in orthopedic and other implantable applications, with low Ni ion release rate and strong bonding strength.
PROGRESS IN ADDITIVE MANUFACTURING
(2023)
Article
Chemistry, Physical
Prashant K. Sarswat, Sayan Sarkar, Arun Murali, Wenkang Huang, Wenda Tan, Michael L. Free
Summary: This study presents new high entropy ceramics that have the potential to exhibit superior mechanical properties in high temperature, oxidative, corrosive, and high wear environments. The researchers investigated the Fe Mn Mo Zr Ti V B type ceramics and presented various design criteria and performance data of additive manufactured samples. The boride-based ceramics showed robustness, stability, and better performance in corrosion and hardness testing.
APPLIED SURFACE SCIENCE ADVANCES
(2022)
Article
Engineering, Manufacturing
Michael Porro, Bin Zhang, Akanksha Parmar, Yung C. Shin
Summary: This study develops a predictive model that estimates the mechanical properties of metal parts based on microstructural data. It demonstrates the efficacy of the model in predicting the relationship between grain size and shape features and mechanical properties.
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION
(2022)
Proceedings Paper
Engineering, Mechanical
Ehsan Malekipour, Homero Valladares, Suchana Jahan, Yung Shin, Hazim El-Mounayri
Summary: Avoiding thermal abnormalities in powder bed fusion is essential to minimize the failure rate and manufacturing lead time of complex parts. Laser parameters such as power and speed significantly influence the temperature distribution within the layers. The use of artificial neural networks shows promise in correlating laser power with temperature distribution for improved control of the process.
THERMOMECHANICS & INFRARED IMAGING, INVERSE PROBLEM METHODOLOGIES, MECHANICS OF ADDITIVE & ADVANCED MANUFACTURED MATERIALS, AND ADVANCEMENTS IN OPTICAL METHODS & DIGITAL IMAGE CORRELATION, VOL 4
(2022)
Article
Engineering, Manufacturing
Kyung-Min Hong, Corbin M. Grohol, Yung C. Shin
Summary: This study presents a comparative assessment of different computational models for predicting melt pool geometry, cooling rates, and dendritic microstructure on Inconel 625 plates, with a focus on the challenges within the NIST Additive Manufacturing benchmark problem. The high fidelity welding model is identified as essential for accurate predictions in the commercial build machine cases.
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION
(2021)
