Article
Nanoscience & Nanotechnology
Pavel Cizek, Sitarama R. Kada, Nicholas Armstrong, Ross A. Antoniou, Sonya Slater, Peter A. Lynch
Summary: This study investigates the development of dislocation structures in both the a and beta phase of a Ti-6Al-4V alloy under cyclic tensile straining. The results show that deformation occurs exclusively through dislocation slip and deformation twins are not present. The prevalent deformation modes are prismatic and basal glide.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Materials Science, Multidisciplinary
J. R. James, R. John, S. Jha, A. L. Pilchak, R. Arroyave, E. J. Payton
Summary: In this study, the expectation maximization and Cruz-Orive spheroid unfolding algorithm were used to estimate the 3D size and shape distributions of micro-textured regions in near-alpha titanium alloys. The uncertainties in the unfolding results and their implications for fatigue life models for Ti-6Al-4V were discussed.
Article
Materials Science, Multidisciplinary
Vladimir V. Skripnyak, Vladimir A. Skripnyak
Summary: By conducting tensile tests and Digital Image Correlation analysis, the mechanical behavior of the Ti-6Al-4V alloy at different strain rates was studied. It was found that at high strain rates, the alloy exhibited localized shear bands and the ultimate strain to fracture in the strain localization zone tended to increase with the strain rate, while showing a tendency towards embrittlement at high stress triaxialities.
Article
Materials Science, Multidisciplinary
Eric Hoar, Souvik Sahoo, Mostafa Mahdavi, Steven Liang, Shibayan Roy, Hamid Garmestani
Summary: A statistical continuum model utilizing microstructural information is developed to simulate the microstructure evolution of a two-phase Ti-6Al-4V alloy during hot isothermal compression. This model does not rely on finite element methods, making it faster and more resource-efficient for prediction accuracy. The model uses two-point statistics to describe microstructural information related to phase distribution, grain size, and phase/grain morphology, and utilizes macroscopic strain-rate tensor to predict deformation.
Article
Materials Science, Multidisciplinary
Miguel Ruiz de Sotto, Veronique Doquet, Patrice Longere, Jessica Papasidero
Summary: In this study, an extensive experimental campaign and numerical simulations were conducted to investigate the ductile fracture behavior of Ti-6Al-4V titanium alloy. The results showed that ductility of the material exhibited anisotropic characteristics depending on the stress state and strain rate, with different behavior observed in tension and compression. The fracture strain was found to decrease with increasing absolute value of the triaxiality, reaching a maximum close to zero, while no clear correlation with the Lode parameter was identified.
INTERNATIONAL JOURNAL OF DAMAGE MECHANICS
(2022)
Article
Materials Science, Multidisciplinary
K. Somlo, K. Poulios, C. Funch, C. F. Niordson
Summary: The study investigates the anisotropic behavior of LPBF Ti-6Al-4V under uniaxial tension through crystal plasticity simulations, which result in a set of crystal plasticity parameters capable of reproducing the experimental behavior. The research demonstrates that the synthetic multi-scale representative volume element and minimized crystal plasticity constitutive parameters can accurately capture the material's Young's modulus, yield strength, and hardening behavior.
MECHANICS OF MATERIALS
(2021)
Article
Engineering, Mechanical
Sidharth Krishnamoorthi, Ritwik Bandyopadhyay, Michael D. Sangid
Summary: Microstructure-based models of AM Ti-6Al-4V should accurately represent the unique microstructural features to understand their role in mechanical performance. This study focuses on generating statistically equivalent microstructures that explicitly model prior grain boundaries and alpha laths.
INTERNATIONAL JOURNAL OF PLASTICITY
(2023)
Article
Nanoscience & Nanotechnology
Arunabha M. Roy, Raymundo Arroyave, Veera Sundararaghavan
Summary: In this study, a two-phase crystal plasticity finite element model (CP-DRX) was developed to predict the flow characteristics of Ti-6Al-4V alloys during thermo-mechanical processing. The CP-DRX model incorporates dynamic recrystallization (DRX) kinetics into the crystal plasticity (CP) model and utilizes a two-phase microstructure representation informed by EBSD data to explore the time-dependent evolution of DRX microstructure and crystal orientation for different strain rate conditions. The proposed CP-DRX model can capture the evolution of crystal orientation and plastic flow stress-strain response of polycrystalline Ti-6Al-4V during the deformation process and predict the recrystallization texture.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2023)
Article
Materials Science, Multidisciplinary
Jinwoo Kim, Dylan Hall, Haoxue Yan, Yitong Shi, Sudha Joseph, Sarah Fearn, Richard J. Chater, David Dye, C. Cem Tasan
Summary: It was found that roughening the surface of Ti-6Al-4V can significantly reduce hydrogen uptake and enhance its resistance against hydrogen embrittlement.
Article
Engineering, Mechanical
Camilla Ronchei, Sabrina Vantadori
Summary: A new analytical approach combining the multiaxial high-cycle fatigue criterion and the Critical Distance Theory has been proposed for assessing the fatigue lifetime of notched components. The accuracy of this approach was evaluated using experimental data on severely notched specimens made of Ti-6Al-4V material, which is of significant interest to industries like biomedicine.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Engineering, Mechanical
Wencheng Liu, Jia Huang, Jianwen Liu, Xinhua Wu, Kai Zhang, Aijun Huang
Summary: This study investigates the fatigue crack initiation in MTRs using a crystal plasticity model, revealing that crack initiation is mainly attributed to high plastic strain and stress concentrations.
INTERNATIONAL JOURNAL OF FATIGUE
(2021)
Article
Materials Science, Multidisciplinary
M. Paghandeh, A. Zarei-Hanzaki, H. R. Abedi, Y. Vahidshad
Summary: The study investigates the strain accommodation mechanism of Ti-6Al-4V alloy with different initial microstructures under warm temperature deformation regime. Tensile tests were conducted at various temperatures, revealing different material behaviors and strain accommodation mechanisms in equiaxed alpha+beta, lamellar alpha+beta, dual phase alpha+alpha, and fully alpha martensite microstructures. The results provide insights into the relationship between microstructure, strain accommodation capability, and tensile formability.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Nanoscience & Nanotechnology
Haiyang Fan, Chengcheng Wang, Yujia Tian, Kun Zhou, Shoufeng Yang
Summary: This study investigated the feasibility of using L-PBF to fabricate two Ti-6Al-4V-based bimetals, Ti-6Al-4V/γ-TiAl and Ti-6Al-4V/Ti-6242, which may have great potential for the future manufacturing of aerospace components. The bimetal Ti-6Al-4V/γ-TiAl was unsuccessfully built due to the intrinsic cold cracking of γ-TiAl processed by L-PBF. In comparison, the bimetal Ti-6Al-4V/Ti-6242 was successfully manufactured by L-PBF with a solid and defect-free interface.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2023)
Article
Materials Science, Multidisciplinary
Yifei Luo, Yuehuang Xie, Zhen Zhang, Jiamiao Liang, Deliang Zhang
Summary: A Ti-6Al-4V alloy with a dual harmonic structure was successfully fabricated by controlling grain sizes and element contents. This structure helps reduce mechanical mismatch and enhances strength and ductility.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Engineering, Mechanical
Abdul Khadar Syed, Rob Plaskitt, Michelle Hill, Zsolt Pinter, Jialuo Ding, Robert Zboray, Stewart Williams, Xiang Zhang
Summary: This paper investigates the cyclic deformation behavior and fatigue properties of a wire + arc additive manufactured Ti-6Al-4V alloy. Compared to Ti-6Al-4V alloys produced by other additive manufacturing processes, the material used in this study has a coarser primary columnar beta grain structure and alpha microstructure. Fatigue tests were conducted on specimens with horizontal and vertical orientations. The vertical samples, where the loading axis was parallel with the primary columnar beta grains, showed slightly higher fatigue life and a higher cyclic softening rate compared to the horizontal samples. No porosity defects were found, and cracks initiated from either the alpha laths or alpha/beta interface due to cyclic slip localization.
INTERNATIONAL JOURNAL OF FATIGUE
(2023)
Article
Materials Science, Multidisciplinary
Wyatt A. Witzen, Andrew T. Polonsky, Paul F. Rottmann, Kira M. Pusch, McLean P. Echlin, Tresa M. Pollock, Irene J. Beyerlein
Summary: Additive manufacturing of high strength metallic materials produces unique microstructures and defects. This study characterizes the microstructure and defect boundaries of an additive manufactured tantalum (Ta) product using the combination of three-dimensional electron backscattered diffraction (EBSD) and crystallographic geometrically necessary dislocation (GND) theory. The results show that the microstructure of AM Ta is highly oriented along the build direction, but also contains large crystallographic orientation gradients. Analysis reveals the presence of highly misoriented subboundaries with large dislocation densities, forming a complex network throughout the microstructure. TEM measurements confirm the existence of a high dislocation density at the microscale and indicate a cell-like dislocation network structure.
JOURNAL OF MATERIALS SCIENCE
(2022)
Article
Materials Science, Multidisciplinary
J. C. Stinville, W. Ludwig, P. G. Callahan, M. P. Echlin, V. Valle, T. M. Pollock, H. Proudhon
Summary: This study enables imaging of bulk slip events within the 3D microstructure through the combined use of X-ray diffraction contrast tomography and topotomography. Correlative measurements were performed using various methods to validate the observation of slip events and significant differences were found between bulk and surface grains, highlighting the need for 3D observations to better understand deformation in polycrystalline materials.
MATERIALS CHARACTERIZATION
(2022)
Article
Chemistry, Physical
Maxwell Pinz, George Weber, Jean Charles Stinville, Tresa Pollock, Somnath Ghosh
Summary: This paper develops a probabilistic crack nucleation model for the Ni-based superalloy Rene 88DT under fatigue loading using a Bayesian inference approach. The underlying mechanisms driving crack nucleation are identified through a data-driven, machine learning approach. Experimental fatigue-loaded microstructures are characterized to correlate the grain morphology and crystallography to the crack nucleation sites. A multiscale model, incorporating experimental polycrystalline microstructures, is developed for fatigue simulations.
NPJ COMPUTATIONAL MATERIALS
(2022)
Editorial Material
Materials Science, Multidisciplinary
Andrew T. Polonsky, Patrick G. Callahan
Article
Materials Science, Multidisciplinary
Andrew T. Polonsky, Narendran Raghavan, McLean P. Echlin, Michael M. Kirka, Ryan R. Dehoff, Tresa M. Pollock
Summary: Three-dimensional characterization is used to understand the processing-structure relationships in additively manufactured materials. In this study, electron beam melting is used to fabricate bulk samples of Inconel 718, and TriBeam tomography and thermal simulation software are used to analyze the microstructural development and predict grain morphologies. The research provides insight into controlling the as-printed microstructure and understanding the competing processes of grain nucleation and epitaxial growth.
MATERIALS CHARACTERIZATION
(2022)
Article
Multidisciplinary Sciences
J. C. Stinville, J. M. Hestroffer, M. A. Charpagne, A. T. Polonsky, M. P. Echlin, C. J. Torbet, V. Valle, K. E. Nygren, M. P. Miller, O. Klaas, A. Loghin, I. J. Beyerlein, T. M. Pollock
Summary: The development of high-fidelity mechanical property prediction models relies on large volumes of microstructural feature data. However, spatially correlated measurements of 3D microstructure and deformation fields have been rare. This study presents a unique multi-modal dataset that combines state-of-the-art experimental techniques for 3D tomography and high-resolution deformation field measurements.
Article
Engineering, Manufacturing
Markus Sudmanns, Andrew J. Birnbaum, Yejun Gu, Athanasios P. Iliopoulos, Patrick G. Callahan, John G. Michopoulos, Jaafar A. El-Awady
Summary: Additive manufacturing of metallic components offers advantages in design flexibility, precision, and mechanical properties. However, understanding the relationship between microstructure and mechanical properties remains a challenge. This study combines experimental and simulation methods to uncover the mechanisms behind the formation of heterogeneous defect structures in additively manufactured metals, providing insights for predicting mechanical properties.
ADDITIVE MANUFACTURING
(2022)
Article
Materials Science, Multidisciplinary
Wyatt A. Witzen, McLean P. Echlin, Marie-Agathe Charpagne, Tresa M. Pollock, Irene J. Beyerlein
Summary: This study investigates the intragranular distributions of geometrically necessary dislocations (GNDs) in a polycrystalline tantalum sample under shock compression loading. Using TriBeam tomography, a highly resolved 3D map of the microstructure was obtained, allowing for the examination of grain boundaries, orientations, and voids. By combining the 3D characterization, GND formulation, and a sample with approximately 6000 grains, correlations between GND density per grain and grain characteristics were analyzed. The results show that GND density increases closer to the spall plane and that grains containing voids have high GND density concentrations in the intragranular region surrounding the void.
Article
Multidisciplinary Sciences
J. C. Stinville, M. A. Charpagne, A. Cervellon, S. Hemery, F. Wang, P. G. Callahan, V. Valle, T. M. Pollock
Summary: In this study, the physical origins of fatigue strength in metallic materials were investigated by observing the nanoscale deformation processes of individual materials at the earliest stages of cycling. The quantitative relationships between yield strength and other physical characteristics were identified, and a method for predicting fatigue strength based on slip localization amplitude was proposed.
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, Multidisciplinary
Kevin Chu, Edwin Antillon, Colin Stewart, Keith Knipling, Patrick Callahan, Sanne Wu, David Rowenhorst, David L. Mcdowell
Summary: Solid solution strengthening is important for industrial alloys, but chemical short-range order (CSRO) also plays a significant role in alloys with high alloying additions. This study investigates the evolution of CSRO and its impact on the mechanical strength of a Fe-12Ni-18Cr alloy through molecular dynamics simulations, atomistic simulations, and experimental measurements. A modified model that incorporates CSRO into a solute-solution strengthening model is proposed and validated against simulations and experiments.
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
Materials Science, Multidisciplinary
Y. Liu, K. Zweiacker, C. Liu, J. T. McKeown, J. M. K. Wiezorek
Summary: The evolution of rapid solidification microstructure and solidification interface velocity of hypereutectic Al-20at.%Cu alloy after laser melting has been studied experimentally. It was found that the formation of microstructure was dominated by eutectic, alpha-cell, and banded morphology grains, and the growth modes changed with increasing interface velocity.
Article
Materials Science, Multidisciplinary
Bharat Gwalani, Julian Escobar, Miao Song, Jonova Thomas, Joshua Silverstein, Andrew Chihpin Chuang, Dileep Singh, Michael P. Brady, Yukinori Yamamoto, Thomas R. Watkins, Arun Devaraj
Summary: Castable alumina forming austenitic alloys exhibit superior creep life and oxidation resistance at high temperatures. This study reveals the mechanism behind the enhanced creep performance of these alloys by suppressing primary carbide formation and offers a promising alloy design strategy for high-temperature applications.
Article
Materials Science, Multidisciplinary
Jian Song, Qi Zhang, Songsong Yao, Kunming Yang, Houyu Ma, Jiamiao Ni, Boan Zhong, Yue Liu, Jian Wang, Tongxiang Fan
Summary: Recent studies have shown that achieving an atomically flat surface for metals can greatly improve their oxidation resistance and enhance their electronic-optical applications. Researchers have explored the use of graphene as a covering layer to achieve atomically flat surfaces. They found that high-temperature deposited graphene on copper surfaces formed mono-atomic steps, while annealed copper and transferred graphene on copper interfaces formed multi-atomic steps.
Article
Materials Science, Multidisciplinary
Jennifer A. Glerum, Jon-Erik Mogonye, David C. Dunand
Summary: Elemental powders of Al, Ti, Sc, and Zr are blended and processed via laser powder-bed fusion to create binary and ternary alloys. The microstructural analysis and mechanical testing show that the addition of Ti results in the formation of primary precipitates, while the addition of Sc and Zr leads to the formation of fine grain bands. The Al-0.25Ti-0.25Zr alloy exhibits comparable strain rates to Al-0.5Zr at low stresses, but significantly higher strain rates at higher stresses during compressive creep testing. Finite element modeling suggests that the connectivity of coarse and fine grain regions is a critical factor affecting the creep resistance of the alloys.
Article
Materials Science, Multidisciplinary
P. Jannotti, B. C. Hornbuckle, J. T. Lloyd, N. Lorenzo, M. Aniska, T. L. Luckenbaugh, A. J. Roberts, A. Giri, K. A. Darling
Summary: This work characterizes the thermo-mechanical behavior of bulk nanocrystalline Cu-Ta alloys under extreme conditions. The experiments reveal that the alloys exhibit unique mechanical properties, behaving differently from conventional nanocrystalline Cu. They do not undergo grain coarsening during extrusion and exhibit behavior similar to coarse-grained Cu.
Article
Materials Science, Multidisciplinary
Yiqing Wei, Jingwei Li, Daliang Zhang, Bin Zhang, Zizhen Zhou, Guang Han, Guoyu Wang, Carmelo Prestipino, Pierric Lemoine, Emmanuel Guilmeau, Xu Lu, Xiaoyuan Zhou
Summary: This study proposes a new strategy to modify microstructure by phase regulation, which can simultaneously enhance carrier mobility and reduce lattice thermal conductivity. The addition of Cu in layered SnSe2 induces a phase transition that leads to increased grain size and reduced stacking fault density, resulting in improved carrier mobility and lower lattice thermal conductivity.
Article
Materials Science, Multidisciplinary
Jia Chen, Zhengyu Zhang, Eitan Hershkovitz, Jonathan Poplawsky, Raja Shekar Bhupal Dandu, Chang-Yu Hung, Wenbo Wang, Yi Yao, Lin Li, Hongliang Xin, Honggyu Kim, Wenjun Cai
Summary: In this study, the structural origin of the pH-dependent repassivation mechanisms in multi-principal element alloys (MPEA) was investigated using surface characterization and computational simulations. It was found that selective oxidation in acidic to neutral solutions leads to enhanced nickel enrichment on the surface, resulting in reduced repassivation capability and corrosion resistance.
Article
Materials Science, Multidisciplinary
X. Y. Xu, C. P. Huang, H. Y. Wang, Y. Z. Li, M. X. Huang
Summary: The limited slip systems of magnesium (Mg) and its alloys hinder their wide applications. By conducting tensile straining experiments, researchers discovered a rate-dependent transition in the dislocation mechanisms of Mg alloys. At high strain rates, glissile dislocations dominate, while easy-glide dislocations dominate at low strain rates. Abundant glissile dislocations do not necessarily improve ductility.
Article
Materials Science, Multidisciplinary
M. S. Szczerba, M. J. Szczerba
Summary: Inverse temperature dependences of the detwinning stress were observed in face-centered cubic deformation twins in Cu-8at.%Al alloy. The detwinning stress increased with temperature when the pi detwinning mode was involved, but decreased when the pi/3 mode was involved. The dual effect of temperature on the detwinning stress was due to the reduction of internal stresses pre-existing within the deformation twins. The complete reduction of internal stresses at about 530 degrees C led to the equivalence of the critical stresses of different detwinning modes and a decrease in the yield stress anisotropy of the twin/matrix structure.
Article
Materials Science, Multidisciplinary
Taowen Dong, Tingting Qin, Wei Zhang, Yaowen Zhang, Zhuoran Feng, Yuxiang Gao, Zhongyu Pan, Zixiang Xia, Yan Wang, Chunming Yang, Peng Wang, Weitao Zheng
Summary: The interaction between the electrode and the electric double layer (EDL) significantly influences the energy storage mechanism. By studying the popular alpha-Fe2O3 electrode and the EDL interaction, we find that the energy storage mechanism of the electrode can be controlled by modulating the EDL.
Article
Materials Science, Multidisciplinary
Matthew R. Barnett, Jun Wang, Sitarama R. Kada, Alban de Vaucorbeil, Andrew Stevenson, Marc Fivel, Peter A. Lynch
Summary: The elastic-plastic transition in magnesium alloy Mg-4.5Zn exhibits bursts of deformation, which are characterized by sudden changes in grain orientation. These bursts occur in a coordinated manner among nearby grains, with the highest burst rate observed at the onset of full plasticity. The most significant burst events are associated with twinning, supported by the observation of twinned structures using electron microscopy. The bursts are often preceded and followed by a stasis in peak movement, indicating a certain "birth size" for twins upon formation and subsequent growth at a later stage.
Article
Materials Science, Multidisciplinary
Vaidehi Menon, Sambit Das, Vikram Gavini, Liang Qi
Summary: Understanding solute segregation thermodynamics is crucial for investigating grain boundary properties. The spectral approach and thermodynamic integration methods can be used to predict solute segregation behavior at grain boundaries and compare with experimental observations, thus aiding in alloy design and performance control.
Article
Materials Science, Multidisciplinary
Feiyu Qin, Lei Hu, Yingcai Zhu, Yuki Sakai, Shogo Kawaguchi, Akihiko Machida, Tetsu Watanuki, Yue-Wen Fang, Jun Sun, Xiangdong Ding, Masaki Azuma
Summary: This study reports on the negative and zero thermal expansion properties of Cd2Re2O7 and Cd1.95Ni0.05Re2O7 materials, along with their ultra-low thermal conductivity. Through investigations of their structures and phonon calculations, the synergistic effect of local structure distortion and soft phonons is revealed as the key to achieving these distinctive properties.
Article
Materials Science, Multidisciplinary
Thomas Beerli, Christian C. Roth, Dirk Mohr
Summary: A novel testing system for miniature specimens is designed to characterize the plastic response of materials for which conventional full-size specimens cannot be extracted. The system has an automated operation process, which reduces the damage to specimens caused by manual handling and improves the stability of the test results. The experiments show that the miniature specimens extracted from stainless steel and aluminum have high reproducibility, and the results are consistent with those of conventional-sized specimens. A correction procedure is provided to consider the influence of surface roughness and heat-affected zone caused by wire EDM.
Article
Materials Science, Multidisciplinary
Rani Mary Joy, Paulius Pobedinskas, Nina Baule, Shengyuan Bai, Daen Jannis, Nicolas Gauquelin, Marie-Amandine Pinault-Thaury, Francois Jomard, Kamatchi Jothiramalingam Sankaran, Rozita Rouzbahani, Fernando Lloret, Derese Desta, Jan D'Haen, Johan Verbeeck, Michael Frank Becker, Ken Haenen
Summary: This study investigates the influence of film microstructure and composition on the Young's modulus and residual stress in nanocrystalline diamond thin films. The results provide insights into the mechanical properties and intrinsic stress sources of these films, and demonstrate the potential for producing high-quality nanocrystalline diamond films under certain conditions.
