Article
Engineering, Biomedical
Kai Cao, Fucheng Zhang, Ahmadreza Zaeri, Ralf Zgeib, Robert C. Chang
Summary: The printing accuracy of polymer melt electrowriting is negatively affected by residual charge entrapped within fibers in three-dimensional structured materials or multilayered scaffolds with small interfiber distances. To investigate this effect, an analytical charge-based model is proposed, which calculates the electric potential energy of the jet segment based on the residual charge amount and distribution. Different modes of energy surface evolution are identified based on the impact of various parameters. The interplay between fiber morphologies and residual charge is analyzed using the lateral characteristic curve and characteristic surface. This model provides insights into improving printing accuracy by understanding the complex interactions between fiber morphologies and residual charge.
INTERNATIONAL JOURNAL OF BIOPRINTING
(2023)
Article
Nanoscience & Nanotechnology
Minami Yoshida, Paul R. Turner, M. Azam Ali, Jaydee D. Cabral
Summary: Melt electrowriting (MEW) is a promising technique for fabricating microfibrous scaffolds ideal for tissue engineering; the addition of chitosan to polycaprolactone (PCL) can enhance the bioactivity of the scaffold; experiments showed that chitosan-containing scaffolds significantly increase stem cell proliferation.
ACS APPLIED BIO MATERIALS
(2021)
Article
Engineering, Industrial
Y. Mizutani, S. Kataoka, Y. Nagai, T. Uenohara, Y. Takaya
Summary: The structure of deep neural networks (DNNs) used in triangulation displacement sensors was investigated through numerical and experimental analysis. A numerical model was constructed by adding noise to the ideal waveform of the measurements, and the major components of the DNNs were optimized through numerical calculations. The optimized DNNs were then applied in a measurement system for distance measurement with sub-pixel accuracy.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Geological
Chunlai Wang, Xiaolin Hou, Yubo Liu
Summary: Identifying macrocracks in rock fracturing using a three-dimensional crack model and unsupervised machine learning algorithm, along with data obtained from triaxial loading tests and acoustic emission technique, provides insights into the formation and distribution of rock fractures. This approach combines experimental data and advanced technology to understand the behavior of fractures in rocks, demonstrating potential for further research and applications.
ROCK MECHANICS AND ROCK ENGINEERING
(2021)
Review
Environmental Sciences
Su Yang, Miaole Hou, Songnian Li
Summary: This paper provides a comprehensive literature review on the acquisition of point cloud data and semantic segmentation algorithms in the cultural heritage field. It discusses the current trends, advantages, disadvantages, and applications of various algorithms, including region growing, model fitting, unsupervised clustering, supervised machine learning, and deep learning. Additionally, it summarizes the public benchmark datasets related to cultural heritage and presents the problems and future development trends of 3D point cloud semantic segmentation in this field.
Article
Engineering, Biomedical
Lauren E. E. Jansen, Hyuna Kim, Christopher L. Hall, Thomas P. McCarthy, Michael J. Lee, Shelly R. Peyton
Summary: Three-dimensional hydrogels made from synthetic polymers can mimic the extracellular matrix (ECM) of real tissues, but they have limitations in terms of the diversity and specificity of bioactive peptides. To overcome these limitations, researchers have developed a bone marrow hydrogel that incorporates the complex and specific protein signature of bone marrow. This tissue-centric approach allows for better replication of the elasticity and structure of bone marrow, and provides a wide range of bone marrow-specific and cell-instructive peptides.
Article
Engineering, Chemical
Xin Zhou, Ning Dai, Xiaosheng Cheng, Adam Thompson, Richard Leach
Summary: This paper presents a method for automatic shape-based classification of metal powder particles. By using X-ray computed tomography and machine learning network, the accuracy of the classification method reaches 93.8%.
Article
Materials Science, Multidisciplinary
William H. Zhang, Graham J. Day, Ioannis Zampetakis, Michele Carrabba, Zhongyang Zhang, Ben M. Carter, Norman Govan, Colin Jackson, Menglin Chen, Adam W. Perriman
Summary: A facile route to synthesize enzymatically active highly fabricable plastics is described, where the enzyme is an intrinsic component of the material. Through the formation of an electrostatically stabilized enzyme-polymer surfactant nanoconstruct, stable macromolecular dispersions can be achieved in a wide range of organic solvents, enabling the fabrication of bespoke 3D enzyme plastic nanocomposite structures using various techniques. The resulting constructs comprising active enzymes can detoxify organophosphates with persistent activity over repeated cycles, demonstrating compatibility with state-of-the-art 3D fabrication techniques.
ACS APPLIED POLYMER MATERIALS
(2021)
Article
Materials Science, Multidisciplinary
Sofia E. Arevalo, Markus J. Buehler
Summary: Biological systems provide inspiration and knowledge for scientists in various fields, as their material architectures often exhibit complex structures and functional interactions. By utilizing molecular-based multiscale modeling, machine learning, and artificial intelligence, along with experimental approaches, researchers can analyze, predict, and design materials with improved properties. This article explores materiomic graph-based modeling frameworks for materials-focused studies in a biological context, and provides an overview of methods applicable to bottom-up manufacturing.
Article
Engineering, Industrial
Zhaohui Geng, Arman Sabbaghi, Bopaya Bidanda
Summary: Three-dimensional (3-D) point cloud data is increasingly used to describe physical objects in detail, but the variation of acquired point clouds creates challenges in manufacturing practices such as Reverse Engineering (RE) and metrology in additive manufacturing. In this study, we propose an automated variance modeling algorithm that uses local geometric descriptors and Bayesian Extreme Learning Machines (BELMs). Our algorithm trains ensemble and residual BELM-variants using a scanning history of different objects and identifies geometrically similar objects using a new empirical Kullback-Leibler divergence. The algorithm demonstrates its capability to model the variance of point cloud data for arbitrary freeform shapes in a case study on additively manufactured products.
Article
Biochemistry & Molecular Biology
Hyeongjin Lee, Wook Chun, GeunHyung Kim
Summary: Researchers have developed a new composite biomaterial ink using decellularized extracellular matrices (dECM) from tilapia and cod fish. The biocomposite exhibited higher cellular activities compared to the controls. Based on these results, the fish-skin-based biocomposite construct is considered a potential biomaterial ink for skin regeneration.
Article
Materials Science, Composites
Ibrahim M. Alarifi
Summary: In this study, artificial bones made of HA/PAN and PLA were developed as potential replacements for natural bone. Composite filaments were fabricated using HA/PAN and PLA and applied to produce reentrant artificial bone materials. Scanning electron microscopy and energy-dispersive X-ray spectroscopy were used to analyze the scaffold morphology and elemental composition. Compressive tests were conducted to determine the optimal scaffolding prototype and assess the mechanical behavior of the cellular structure. The results showed that the auxetic cells influenced the bone macrostructure and PLA/HA scaffoldings exhibited excellent potential for bone deficiency restoration.
POLYMER COMPOSITES
(2023)
Review
Chemistry, Multidisciplinary
Egemen Umur, Emirhan Bayrak, Fahriye Arslan, Safiye Betuel Bulut, Engin Baysoy, Gizem Kaleli-Can, Bugra Ayan
Summary: This review examines the state-of-the-art 3D bioprinting for hydrogel-based dressings, discussing their advantages and limitations, as well as their potential applications in vitro and in vivo and adaptability to clinical settings. It also presents a roadmap for advancing wound dressings fabricated with 3D bioprinting.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Zitong Huang, Takeshi Kurotori, Ronny Pini, Sally M. Benson, Christopher Zahasky
Summary: This article presents a method for quantifying the heterogeneous multiscale permeability in geologic porous media using positron emission tomography (PET) imaging. By utilizing a trained convolutional neural network (CNN) based on experimental data, accurate and computationally efficient permeability inversion maps can be generated. The results demonstrate the effectiveness of this approach by comparing the network-predicted permeability maps with experimental data.
WATER RESOURCES RESEARCH
(2022)
Article
Automation & Control Systems
Yinhe Wang, Xiangyu Guo, Jungsub Kim, Pengfei Lin, Kuan Lu, Hyunjae Lee, ChaBum Lee
Summary: This paper presents a simple 3D stereoscopic method using a single unit of an imaging device consisting of a CCD and a zoom lens. The method achieves 3D surface imaging through the reconstruction of two images obtained from different camera positions. The proposed method significantly reduces disparity errors in 3D image reconstruction and simplifies the calibration process of the imaging system. The imaging system showed a disparity error of 0.26 in the camera pixel.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Manufacturing
Filippos Tourlomousis, Houzhu Ding, Dilhan M. Kalyon, Robert C. Chang
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2017)
Editorial Material
Mechanics
Y. Wang, J. He, S. Aktas, S. A. Sukhishvili, D. M. Kalyon
JOURNAL OF RHEOLOGY
(2017)
Article
Engineering, Manufacturing
Houzhu Ding, Filippos Tourlomousis, Robert C. Chang
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2018)
Review
Energy & Fuels
Lashun Thomas, Hansong Tang, Dilhan M. Kalyon, Seda Aktas, J. Daniel Arthur, Jens Blotevogel, J. William Carey, Archie Filshill, Pengcheng Fu, Grace Hsuan, Thomas Hu, Daniel Soeder, Subhash Shah, Radisav D. Vidic, Michael H. Young
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2019)
Article
Mechanics
Jing He, Stephanie S. Lee, Dilhan M. Kalyon
JOURNAL OF RHEOLOGY
(2019)
Article
Polymer Science
Alok Kumar, Yiren Zhang, Amalia Terracciano, Xiao Zhao, Tsan-Liang Su, Dilhan M. Kalyon, Sara Katebifar, Sangamesh G. Kumbar, Xiaojun Yu
POLYMERS FOR ADVANCED TECHNOLOGIES
(2019)
Article
Mechanics
Esteban F. Medina-Banuelos, Benjamin M. Marin-Santibanez, Jose Perez-Gonzalez, Dilhan M. Kalyon
JOURNAL OF RHEOLOGY
(2019)
Article
Polymer Science
Jayadurga Iyer Ganapathi, Stephanie S. Lee, Dilhan M. Kalyon, Frank T. Fisher
JOURNAL OF APPLIED POLYMER SCIENCE
(2020)
Article
Engineering, Chemical
Jing He, Stephanie S. Lee, Manuk Colakyan, Dilhan M. Kalyon
Summary: By adding a gelation agent, hydroxypropyl guar gum, at a critical concentration of 0.5wt% or higher, the viscoelastic material functions of cellulosic suspensions can be significantly improved, leading to better dispersive mixing of fibers within the aqueous phase and the elimination of flow instabilities and associated demixing effects.
POLYMER ENGINEERING AND SCIENCE
(2021)
Article
Chemistry, Physical
Li Quan, Stephanie S. Lee, Dilhan M. Kalyon
Summary: Organic solar cells face production and stability issues, and the commonly used spin coating process has limitations. Recent studies on gel formation dynamics of P3HT and o-IDTBR active layers show that shearing conditions can potentially alter gel structure and impact active layer performance.
Article
Multidisciplinary Sciences
Benjamin Jenett, Christopher Cameron, Filippos Tourlomousis, Alfonso Parra Rubio, Megan Ochalek, Neil Gershenfeld
Article
Materials Science, Multidisciplinary
Jing He, Xiaoqing Kong, Yuhao Wang, Michael Delaney, Dilhan M. Kalyon, Stephanie S. Lee
ACS APPLIED POLYMER MATERIALS
(2019)
Article
Nanoscience & Nanotechnology
Anthony Palumbo, Filippos Tourlomousis, Robert C. Chang, Eui-Hyeok Yang
ACS APPLIED BIO MATERIALS
(2018)