Article
Acoustics
Brent R. Goodlet, Ben Bales, Tresa M. Pollock
Summary: A novel method for complete elastic characterization of substrate-coating bilayer specimens has been developed using resonant ultrasound spectroscopy (RUS) and Bayesian inversion. The ability to retrieve individual elastic moduli strongly depends on the specimen geometry and the number of resonance modes used for inversion. Various Bayesian posterior evaluation methods are addressed to handle the computational cost of the bilayer forward model, with Laplace approximation methods being developed for expedient estimates of parameter uncertainties.
Article
Engineering, Mechanical
Mihaela Chiappetta, Chiara Piazzola, Massimo Carraturo, Lorenzo Tamellini, Alessandro Reali, Ferdinando Auricchio
Summary: The present paper aims to apply uncertainty quantification methodologies to simulate the powder bed fusion process of metal. The uncertainties of three process parameters, namely the activation temperature, the powder convection coefficient, and the gas convection coefficient, are studied in a part-scale thermomechanical model of an Inconel 625 super-alloy beam. The proposed uncertainty quantification workflow, which includes global sensitivity analysis and inverse and forward uncertainty quantification analyses, effectively reduces uncertainties and facilitates the calibration of part-scale models for powder bed fusion.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Nanoscience & Nanotechnology
Mangesh Pantawane, Teng Yang, Yuqi Jin, Sangram Mazumder, Mayur Pole, Sriswaroop Dasari, Arkadii Krokhin, Arup Neogi, Sundeep Mukherjee, Rajarshi Banerjee, Narendra B. Dahotre
Summary: This study compared the dynamic and static elastic constants of laser powder bed fusion additively manufactured Ti6Al4V alloy with the wrought Ti6Al4V using an effective bulk modulus elastography technique. The dynamic elastic constants were found to be slightly lower than the static elastic constants. Microstructural analysis and computational modeling revealed the origin of the high defect density in the additively manufactured Ti6Al4V.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2021)
Article
Materials Science, Multidisciplinary
Jeff Rossin, Patrick Leser, Kira Pusch, Carolina Frey, Sean P. Murray, Chris J. Torbet, Stephen Smith, Samantha Daly, Tresa M. Pollock
Summary: Bayesian inference with sequential Monte Carlo is used to quantify orientation distribution function coefficients and calculate fully anisotropic elastic constants of additively manufactured specimens based on experimentally measured resonant frequencies. The method also considers residual stress-induced shifts on resonant frequencies, allowing for accurate estimation without stress-relief heat treatment. Through this approach, the accurate determination of all 21 possible independent elastic constants is achieved.
Article
Engineering, Manufacturing
Mohammad Sadeghzade, Hussain Gharehbaghi, Amin Farrokhabadi
Summary: Analytical relationships were developed to calculate the mechanical properties of a new porous material based on octagonal bipyramid micro-architecture, validated through finite element modeling and compressive test experiments. The effect of changes in geometric parameters on mechanical behavior was evaluated through analytical, numerical, and experimental results.
ADDITIVE MANUFACTURING
(2021)
Article
Engineering, Manufacturing
P. Honarmandi, R. Seede, L. Xue, D. Shoukr, P. Morcos, B. Zhang, C. Zhang, A. Elwany, I. Karaman, R. Arroyave
Summary: The Eagar-Tsai (E-T) model in the context of 3D printing was studied systematically from an uncertainty quantification/propagation (UQ/UP) perspective. Model parameters were calibrated against experimental data using Markov Chain Monte Carlo (MCMC) sampling, and posterior distributions of parameter values were propagated. It was found that discrepancies between predicted and measured melt pool depths existed under keyholing conditions, but a physics-based correction improved agreement with experiments without increasing model complexity significantly.
ADDITIVE MANUFACTURING
(2021)
Article
Materials Science, Multidisciplinary
Yupeng Ren, Naeem ul Haq Tariq, Hanhui Liu, Xinyu Cui, Yanfang Shen, Jiqiang Wang, Tianying Xiong
Summary: By subjecting cold sprayed Al deposits to unidirectional impact forging in the temperature range of 250-300°C, the microstructure and mechanical properties of the deposits can be significantly modified and improved. Hot-forging reduces porosity and enhances inter-particle diffusion, dynamic recovery, and recrystallization mechanisms, resulting in enhanced ultimate tensile strength and elongation in the Al deposits.
MATERIALS TODAY COMMUNICATIONS
(2022)
Review
Computer Science, Interdisciplinary Applications
Yongjie Zhang, Seung Ki Moon
Summary: The advent of additive manufacturing has opened up new possibilities in design and manufacturing, but finding the optimal combination of design and process parameters remains challenging. Data-driven strategies are becoming increasingly important in design, helping to achieve optimal part design.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2021)
Article
Nanoscience & Nanotechnology
Brent R. Goodlet, Sean P. Murray, Ben Bales, Jeff Rossin, Chris J. Torbet, Tresa M. Pollock
Summary: A novel experimental setup was developed to collect resonant ultrasound spectroscopy (RUS) data from heated metallic specimens, specifically focusing on the CoNi-based superalloy SB-CoNi-10+. Bayesian inference was used to estimate elastic constants and crystal orientation parameters at elevated temperatures, revealing changes in material properties with increasing temperature.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2021)
Article
Physics, Multidisciplinary
Albert Orwa Akuno, L. Leticia Ramirez-Ramirez, Jesus F. Espinoza
Summary: Most studies on population mobility and the spread of infectious diseases focus on theoretical properties and numerical simulation of multi-patch models. However, little literature addresses numerical fit, inference, and uncertainty quantification of epidemic models with population mobility. This research uses three estimation techniques to solve an inverse problem and quantify uncertainty in a human-mobility-based multi-patch epidemic model. The results show that the estimated parameters adequately fit the observed daily COVID-19 incidence and that the use of a multi-patch model with mobility improves predictions compared to a single-patch model.
Article
Engineering, Geological
Gertjan van Zwieten, E. Harald van Brummelen, Ramon F. Hanssen
Summary: Earthquakes cause lasting deformation that can be observed and inferred through deformation measurements. The Weakly-enforced Slip Method (WSM) accurately recovers slip distributions in a Bayesian-inference setting, offering modeling flexibility and reducing model restrictions in earthquake inversion problems.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2022)
Article
Materials Science, Multidisciplinary
Priyanshi Agrawal, Ravi Sankar Haridas, Surekha Yadav, Saket Thapliyal, Abhijeet Dhal, Rajiv S. Mishra
Summary: The solid state nature of the AFSD additive manufacturing process provides advantages in terms of defect formation and microstructural refinement. This study investigates the process optimization, microstructural evolution, and recrystallization kinetics of AFSD deposited SS316. The as-deposited microstructure consists of equiaxed ultrafine grains, with an average grain size of around 5.0 +/- 0.5 μm. The observed necklace-type microstructure is attributed to discontinuous dynamic recrystallization during processing. The recrystallization kinetics of AFSD SS316 are characterized using the JMAK model.
MATERIALS CHARACTERIZATION
(2023)
Article
Geochemistry & Geophysics
Charlotte Semin-Sanchis, Odd Kolbjornsen
Summary: We propose a sampling-free probabilistic inversion method based on expectation propagation, which accurately estimates the joint distribution of latent target property in a local region and reduces computational demand.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Mathematics
Luca Martino, Fernando Llorente, Ernesto Curbelo, Javier Lopez-Santiago, Joaquin Miguez
Summary: A novel adaptive importance sampling scheme is proposed for Bayesian inversion problems, where variables of interest and data noise power are inferred using different methods. The technique involves iterative steps of sampling and optimization, with the noise power acting as a tempered parameter for the posterior distribution of the variables of interest. Numerical experiments show the benefits of the proposed approach in Bayesian analysis.
Article
Materials Science, Multidisciplinary
Zhou Yan, Xi Zou, Simeng Li, Guoyun Luo, Lijun Song
Summary: This study explores the thermo-mechanical history, residual stress, and microstructure of austenitic stainless steels during the directed energy deposition process through numerical simulations and experimental characterization. It investigates the impact of process factors on residual stress, revealing a unique perspective on the link between residual stress and microstructure.
Article
Mechanics
William S. LePage, John A. Shaw, Samantha H. Daly
Summary: The study revealed that crystallographic texture significantly affects the fatigue performance of NiTi sheet, with strong orientation-dependent mechanisms of plasticity, transformation, and twinning on both functional and structural fatigue. Under stress-controlled cycling, tension along textures similar to that of the TD demonstrated better fatigue performance.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2021)
Article
Nanoscience & Nanotechnology
Brent R. Goodlet, Sean P. Murray, Ben Bales, Jeff Rossin, Chris J. Torbet, Tresa M. Pollock
Summary: A novel experimental setup was developed to collect resonant ultrasound spectroscopy (RUS) data from heated metallic specimens, specifically focusing on the CoNi-based superalloy SB-CoNi-10+. Bayesian inference was used to estimate elastic constants and crystal orientation parameters at elevated temperatures, revealing changes in material properties with increasing temperature.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2021)
Article
Engineering, Mechanical
Sriram Ganesan, Mohammadreza Yaghoobi, Alan Githens, Zhe Chen, Samantha Daly, John E. Allison, Veera Sundararaghavan
Summary: This study investigates the effects of heat treatment on the mechanical response of a WE43 Mg alloy using an integrated framework of SEM-DIC experiment and CPFE simulation, focusing on local displacement and strain. By evaluating the CPFE framework with results from SEM-DIC experiment, the effects of heat treatment were analyzed using CRSS and relative slip activity. The study also addresses the contributions of different strengthening mechanisms on CRSS in WE43 Mg alloy.
INTERNATIONAL JOURNAL OF PLASTICITY
(2021)
Article
Materials Science, Multidisciplinary
Ryan Sperry, Songyang Han, Zhe Chen, Samantha H. Daly, Martin A. Crimp, David T. Fullwood
Summary: This study assessed the use of various methods including SEM-DIC, AFM, ECCI, and HR-EBSD to characterize slip-system activity on Ti-7Al material. The comparison presented the advantages, disadvantages, and effective complementary use of these methods. The study showed that by using these methods in tandem, multi-modal information on slip band identification, strain and orientation gradients, and the presence of GNDs and SSDs can be obtained to inform and validate dislocation-based crystal plasticity models.
MATERIALS CHARACTERIZATION
(2021)
Article
Engineering, Mechanical
M. E. Harr, S. Daly, A. L. Pilchak
Summary: Research found that slip activity in Ti-6Al-2Sn-4Zr-2Mo was more rapid and accumulated more at lower temperatures exhibiting dwell sensitivity, compared to higher temperatures. Plasticity primarily occurred through long-range basal slip in colocated grains with a high basal Schmid factor at all temperatures.
INTERNATIONAL JOURNAL OF FATIGUE
(2021)
Article
Chemistry, Physical
C. Muir, B. Swaminathan, K. Fields, A. S. Almansour, K. Sevener, C. Smith, M. Presby, J. D. Kiser, T. M. Pollock, S. Daly
Summary: In this study, it was demonstrated that identifying damage mechanisms from acoustic emission signals in minicomposites with elastically similar constituents is possible. By partitioning signals through spectral clustering, matrix cracking and fiber failure were successfully identified based on the frequency information they contained, following the damage chronology.
NPJ COMPUTATIONAL MATERIALS
(2021)
Review
Chemistry, Physical
C. Muir, B. Swaminathan, A. S. Almansour, K. Sevener, C. Smith, M. Presby, J. D. Kiser, T. M. Pollock, S. Daly
Summary: Identification of damage mechanisms is crucial for structural health monitoring, design, and composite systems. Recent advancements in machine learning have uncovered new pathways for understanding the relationship between waveforms and damage mechanisms in higher-dimensional spaces. This review evaluates the current state of the field, discussing the extraction of waveform features, clustering, labeling, and error analysis strategies in detail. Fundamental requirements for damage mechanism identification in machine learning frameworks are also explored, including those currently used, under development, and yet to be explored.
NPJ COMPUTATIONAL MATERIALS
(2021)
Article
Materials Science, Multidisciplinary
Jeff Rossin, Patrick Leser, Kira Pusch, Carolina Frey, Sean P. Murray, Chris J. Torbet, Stephen Smith, Samantha Daly, Tresa M. Pollock
Summary: Bayesian inference with sequential Monte Carlo is used to quantify orientation distribution function coefficients and calculate fully anisotropic elastic constants of additively manufactured specimens based on experimentally measured resonant frequencies. The method also considers residual stress-induced shifts on resonant frequencies, allowing for accurate estimation without stress-relief heat treatment. Through this approach, the accurate determination of all 21 possible independent elastic constants is achieved.
Article
Materials Science, Ceramics
B. Swaminathan, N. R. McCarthy, A. S. Almansour, K. Sevener, A. K. Musaffar, T. M. Pollock, J. D. Kiser, S. Daly
Summary: The relationship between acoustic emission (AE) and damage source areas in SiC/SiC minicomposites was modeled using insights from in-situ tensile testing in scanning electron microscope (SEM). Damage up to matrix crack saturation was bounded by AE generated by matrix cracking (lower bound) and AE generated by matrix cracking, fiber debonding, and sliding in crack wakes (upper bound). Despite fiber debonding and sliding exhibiting lower strain energy release rates compared to matrix cracking and fiber breakage, they still contribute significantly to damage area and likely produce AE.
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
(2021)
Article
Engineering, Mechanical
J. Geathers, C. J. Torbet, J. W. Jones, S. Daly
Summary: Water vapor has a significant impact on the small fatigue crack growth rates in Ti-6242S alloy, with a linear dependence observed between crack growth rate and water vapor pressure. This work highlights the importance of humidity in determining fatigue life even at high cyclic frequencies.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Materials Science, Multidisciplinary
N. R. Brodnik, C. Muir, N. Tulshibagwale, J. Rossin, M. P. Echlin, C. M. Hamel, S. L. B. Kramer, T. M. Pollock, J. D. Kiser, C. Smith, S. H. Daly
Summary: Experimental solid mechanics is experiencing a crucial moment where the integration of machine learning (ML) approaches into the discovery process is rapidly increasing. The adoption of ML methods in mechanics originated from non-science and engineering applications, raising concerns about the reliability of the obtained physical results. To address this, it is necessary to incorporate physical principles into ML architectures, evaluate and compare them using benchmark datasets, and test their broad applicability. These principles allow for meaningful categorization, comparison, evaluation, and extension of ML models across various experimental and computational frameworks. Two different use cases, acoustic emission and resonant ultrasound spectroscopy, are examined to demonstrate the application of these principles and discussions are provided regarding the future prospects of trustworthy ML in experimental mechanics.
JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
(2023)
Article
Chemistry, Physical
Devendra K. Jangid, Neal R. Brodnik, Michael G. Goebel, Amil Khan, SaiSidharth Majeti, McLean P. Echlin, Samantha H. Daly, Tresa M. Pollock, B. S. Manjunath
Summary: In computer vision, single-image super-resolution (SISR) has been extensively explored on optical images, but its application on images outside this domain, such as scientific experiment images, is not well investigated. This paper presents a broadly adaptable approach for applying state-of-art SISR networks to generate high-resolution EBSD images.
NPJ COMPUTATIONAL MATERIALS
(2022)
Article
Materials Science, Ceramics
C. Muir, B. Swaminathan, A. K. Musaffar, N. R. Mccarthy, A. S. Almansour, T. M. Pollock, J. D. Kiser, C. Smith, S. Daly, K. Sevener
Summary: Crack opening displacements (CODs) in ceramic matrix composites (CMCs) affect their environmental degradation rates. This study experimentally demonstrates that a significant proportion of CODs deviate from the commonly assumed s(2) dependence in models. In situ measurements of transverse matrix cracks in SiC/SiC minicomposites reveal that crack geometries and proximity to neighboring cracks contribute to this deviation.
JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
(2023)
Article
Engineering, Manufacturing
Devendra K. Jangid, Neal R. Brodnik, Amil Khan, Michael G. Goebel, McLean P. Echlin, Tresa M. Pollock, Samantha H. Daly, B. S. Manjunath
Summary: This paper presents a GAN capable of producing realistic microstructure morphology features and demonstrates its capabilities on a dataset of crystalline titanium grain shapes. It also introduces an approach to train deep learning networks to understand material-specific descriptor features based on existing conceptual relationships.
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION
(2022)
Article
Engineering, Manufacturing
Mohammadreza Yaghoobi, Zhe Chen, Veera Sundararaghavan, Samantha Daly, John E. Allison
Summary: Crystal plasticity simulation is an important tool for advanced Integrated Computational Materials Engineering for metals and alloys. In this study, a calibration and validation framework for CPFE simulation of extension twinning in Mg alloy WE43 using SEM-DIC technique was presented. The results show that CPFE can successfully model the macroscopic stress-strain response and the twin area fraction and can also capture microscale strain and twinning.
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION
(2021)
Article
Materials Science, Multidisciplinary
Shuai Zhang, Shuye Zhang, Hongzhi Zhou, Kyung-Wook Paik, Tianran Ding, Weimin Long, Sujuan Zhong, Peng He
Summary: Microwave Hybrid Heating (MHH) is a promising method for material joining, allowing for selective and uniform heating. This experimental study focused on investigating the characteristics and reliability of joints made using nano-Sn-3.0Ag-0.5Cu soldering paste and MHH technique. The research findings showed that the shear strength of the joints reached its peak value under specific microwave power and exposure time, but decreased after thermal shock tests.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Peibin Ma, Mingyang Wang, Aiying Chen, Lijian Gu, Zhiyi Ding, Xiaogui Wang, Bin Gan
Summary: Nano-twinned boundaries in high-temperature alloys play a crucial role in regulating the distribution of nano-precipitates and enhancing mechanical properties.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Jiachen Zhang, Fan Lu, Xinxin Liu, Taiwen Huang, Rui Li, Changsheng Tan, Guojun Zhang, Lin Liu
Summary: This study investigates the effects of Re and Ta interactions on the precipitation of the TCP phase in experimental alloys under long-term thermal exposure. The study finds that microstructure segregation is not fully eliminated even with standard heat treatment, and the interaction between Re and Ta enhances the formation of the TCP phase. Thermodynamic calculations and first-principles analysis reveal that Re significantly improves the driving force of TCP phase precipitation. The study also observes a phase transition from the sigma-phase to the P-phase, with Ni playing a crucial role in the diffusion process.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Ronit Roy, Adil Shaik, Matthew Topping, Fei Long, Mark R. Daymond
Summary: This study demonstrates the improvements in characterizing localized dislocation distribution using the HR-EBSD method compared to the conventional approach. Two extreme examples of deformation conditions were investigated to show the efficacy of HR-EBSD in identifying dislocations and subtle features. The direct correlation between slip bands and HR-EBSD estimated GNDs is also presented, enhancing the scope of this approach in identifying individual slip bands.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Wenshan Guo, Hui Zhang, Qingjun Zhou, Guangchun Xiao, Ning Guo, Wei Zhao, Gang Wang
Summary: The microstructures and corrosion resistance of TC11 components were significantly improved using a high-power, high-speed laser metal deposition (LMD) process and subsequent post-heat treatment, with greater improvements observed in the deposition direction. The significant improvement of corrosion resistance in the deposition direction is mainly due to the weakening of the charged galvanic corrosion effect between the non-interlayer zone and interlayer zone.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Shuai Xu, Rui Cao, Junheng Gao, Yu Zhang, Haitao Zhao, Shuize Wang, Yuhe Huang, Guilin Wu, Honghui Wu, Chaolei Zhang, Xinping Mao
Summary: In this study, the microstructures and mechanical properties of interphase precipitation strengthening micro-alloyed steels were investigated. The addition of Cr was found to increase the yield strength without significant decrease of ductility. Thermodynamics analysis revealed that the addition of Cr led to grain refinement and decrease of sheet spacing of nanoprecipitates. Calculations showed that the decrease of interphase-precipitated carbides sheet spacing and the refinement of grain size were responsible for the strength enhancement of Cr microalloyed steel.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Zhaoxin Zhong, Biao Zhang, Yuhan Ren, Jian Ye, Jiawei Zhang, Feng Ye
Summary: In this study, bioinspired web-liked multiphase composites were successfully constructed using boron-modified polysilazane polymer. The composites consisted of long TiB nanowires as 'web' and hybrid TiC and Ti3Si particles as 'nodes'. The enhanced strength of these composites was attributed to the synergistic load transfer of the hybrid reinforcements. This study provides a promising design approach for developing high-performance composites with high reinforcement content, utilizing polymer instead of traditional ceramic powder.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Geng Liu, Linran Yu, Jie Su, Ran Ding, Min Xiong, Qi Gao
Summary: In this study, a flash austenitization heat treatment approach was used to achieve a dual-phase microstructure consisting of retained austenite and fine-grained ferrite in low-carbon TRIP steel. Phase-field simulations revealed the acceleration of ferrite transition kinetics in the Mn-depleted region and the influence of chemical heterogeneity of C and Mn on the stabilization of austenite.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Zhichao Yang, Dehui Zheng, Zhen Wang, Tingbin Liang, Shuangbao Wang
Summary: In this study, the configurations, formation process, and properties of the Cu-rich layer formed during TJE of Al alloys were revealed using aberration-corrected scanning TEM (STEM), STEM image simulations, and first-principles calculations. The results showed a new orientation relationship between the Cu-rich layer and Al matrix, and provided insights into the formation mechanisms of the Cu-rich layer and Cu diffusion zone.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Shuai Chen, Ruyu Tian, Jiayue Wen, Yanhong Tian
Summary: In this study, the interfacial microstructure evolution and reliability of Cu/Sn-3.0Ag-0.5Cu (SAC305)/Ni and Cu/Sn-3.0Ag-0.5Cu-0.05TiO2 (SAC305-0.05TiO2)/Ni interconnections under thermal shock were investigated. The results showed that the addition of TiO2 nanoparticles can suppress the growth of interfacial IMCs and improve the reliability of the connections.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Yunbin Lu, Yangju Feng, Wei Wang, Wenke Wang, Jianlei Yang, Wenzhen Chen, Guorong Cui, Dongdong Zhuang, Hongyang Cao
Summary: In order to improve the wear resistance of titanium alloy, titanium matrix composites with network distributed TiBw were fabricated. The results showed that the wear rate of the composites decreased by 17.2% at room temperature and 38.4% at high temperature compared to the TA15 alloy. The TiBw in the composites enhanced work hardening, improved thermal conductivity, and effectively hindered dislocation movement and promoted dynamic recrystallization during high-temperature wear.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Jubert Pasco, Lu Jiang, Thomas Dorin, Ali Keshavarzkermani, Youliang He, Clodualdo Aranas Jr
Summary: The unique structure and solute distribution of CoCrMo alloys produced using Laser Powder Bed Fusion technique require custom heat-treating processes to achieve the targeted phase distribution and mechanical properties. This study investigates the phase transformation behavior and precipitate distribution of CoCrMo samples after aging heat treatment. The results show differences in phase fraction and nucleation sites between directly aged and solution heat-treated samples.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Zipeng Ma, Meng Zhou, Baohong Tian, Yi Zhang, Heng Li, Xu Li, Jin Zou, Haoyan Hu, Ke Jing, Yong Liu, Alex A. Volinsky
Summary: In this study, two electrical contact composites were prepared using the vacuum hot pressing sintering endo-oxidation method. The addition of Y2O3 had no negative effects on the electrical conductivity and hardness of the composites. Moreover, it reduced the welding force and arc energy, and improved the stability of the contacts.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Wei Sun, Ning Cui, Shuling Zhang, Tiewei Xu, Xiaopeng Wang, Fantao Kong
Summary: A laminated composite was successfully fabricated and its microstructure and mechanical properties were investigated. The composite exhibited high bonding strength, improved flexural strength and fracture toughness, and superior tensile properties compared to the monolithic alloy.
MATERIALS CHARACTERIZATION
(2024)
Article
Materials Science, Multidisciplinary
Zih-You Wu, Yin-Ku Lee, Su-Yueh Tsai, Po-Yu Chen, Jenq-Gong Duh
Summary: With the development of the artificial intelligence (AI) industries, electronic packaging is advancing towards high density, high efficiency, and multi-functionality. The application of microbumps is necessary to achieve high density and small-scale interconnection. In this study, three types of full intermetallic compounds (IMCs) bumps were fabricated, and the mechanical and thermal properties of IMCs were analyzed. The results showed that the full IMCs bumps with added Ni and Zn exhibited consistent structure and excellent thermal stability, providing a reliable microstructure for application.
MATERIALS CHARACTERIZATION
(2024)
