Review
Engineering, Biomedical
Mohd Faizal Ali Akhbar, Akmal Wani Sulong
Summary: Research has shown that improving drill bit design is a feasible and cost-effective solution to reduce bone drilling damage. This review emphasizes the importance of systemizing information on drill design and provides insights into advances in drill bit design and their impacts on bone damage.
ANNALS OF BIOMEDICAL ENGINEERING
(2021)
Article
Energy & Fuels
Jiajia Chen, Dongdong Yuan, Huafei Jiang, Liyong Zhang, Yong Yang, Yucan Fu, Ning Qian, Fan Jiang
Summary: This study proposed a new rotating heat pipe drill for thermal management in bone drilling operations. The experiment results showed that the drill had good heat transfer performance and could control the bone temperature within an acceptable range.
Article
Engineering, Manufacturing
Shihao Li, Liming Shu, Toru Kizaki, Wei Bai, Makoto Terashima, Naohiko Sugita
Summary: Bone drilling is a crucial procedure in surgery, and its thermal characteristics directly affect bone damage and recovery. This study conducted an experimental investigation using advanced tools to analyze the thermal characteristics during cortical bone drilling in detail. The results show variations in maximum temperature at different locations, but no anisotropy in temperature distribution was observed. Processing parameters have a significant impact on thermal characteristics and may determine the extent of thermal damage.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Engineering, Manufacturing
E. Shakouri, Haghighi H. Hassanalideh, S. Fotuhi
Summary: The study successfully reduced the impact of drill bit wear on bone temperature rise and lowered the risk of thermal necrosis by using the internal CO2 gas cooling method.
ADVANCES IN PRODUCTION ENGINEERING & MANAGEMENT
(2021)
Article
Materials Science, Multidisciplinary
Lingfei Ji, Litian Zhang, Lijie Cao, Jincan Zheng, Junqiang Wang, Wei Han, Honglong Zhang
Summary: Traditional mechanical bone drilling can cause tissue damage due to heat generation and debris accumulation. Contactless laser bone drilling has become a mainstream trend in orthopedic surgery. This study presents a laser rapid drilling strategy with dynamic focusing and spreading droplet cooling to minimize thermal osteonecrosis and debris. The comprehensive results prove the effectiveness of this technology in realizing rapid and debris-free orthopedic surgery.
MATERIALS & DESIGN
(2022)
Article
Engineering, Mechanical
Kadir Gok, Mehmet Erdem, Yasin Kisioglu, Arif Gok, Mert Tumsek
Summary: During orthopedic surgery, overheating can occur during the bone drilling process, leading to heat damage in bones and surrounding tissues. This study investigates the effects of processing parameters on bone chip formation, temperature levels, and chip-vacuuming performances during drilling. A bone chip collecting system is developed to collect and store bone chips using a vacuuming technique, with optimal processing parameters identified for both vacuumed and non-vacuumed conditions.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2021)
Article
Engineering, Manufacturing
Jie Chen, Qinglong An, Fan Zou, Dedong Yu, Ming Chen
Summary: The study confirmed the effectiveness of low-frequency vibration-assisted drilling (LFVAD) in reducing thermal injury during bone drilling, effectively reducing the maximum temperature rise and thermal injury factor.
MATERIALS AND MANUFACTURING PROCESSES
(2021)
Article
Chemistry, Analytical
Citlalli Jessica Trujillo-Romero, Juan Dionisio Merida, Texar Javier Ramirez-Guzman, Raquel Martinez-Valdez, Lorenzo Leija-Salas, Arturo Vera-Hernandez, Genaro Rico-Martinez, Jose Jesus Agustin Flores-Cuautle, Josefina Gutierrez-Martinez, Emilio Sacristan-Rock
Summary: Microwave ablation is limited in its application for bone tumor treatment, but newly designed antenna arrays can treat bone tumors larger than 3 cm(3). By evaluating and studying various antenna configurations, lower standing wave ratios and higher ablated tissue volumes can be achieved.
Article
Automation & Control Systems
Kaikai Guo, Youguang Guo
Summary: In order to improve the drilling efficiency and accuracy of a drilling robot, a new linear rotary drilling motor (LRDM) is proposed with U-type stator and toroidal winding structure. The LRDM exhibits an asymmetric air gap flux density (AGFD) phenomenon, which is analyzed using the finite-element method and the variation law is derived for optimization design purposes. By considering various objective functions such as cogging torque, detent force, torque, and thrust, the optimal values of structure and electromagnetic parameters are obtained and verified experimentally.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Review
Materials Science, Composites
Mahmoud Abusrea, Keivan Ahmadi, Ahmad Sadek
Summary: Hybrid polymer composites are used in biomechanical design and orthopedic surgery training to mimic the thermomechanical behavior of human bones. However, there is limited information on their thermomechanical response during orthopedic drilling operations. This study presents a new experimental investigation on the force and temperature generated during the drilling of hybrid composites that simulate human bones. Empirical models are developed to predict the force and temperature during drilling, using multivariate polynomial regression (MPR) and artificial neural network (ANN).
JOURNAL OF COMPOSITE MATERIALS
(2023)
Article
Medicine, General & Internal
Sofia Soler-Alcaraz, Yolanda Guerrero-Sanchez, Mario Perez-Sayans, Juan Carlos Bernabeu-Mira, David Penarrocha-Oltra, Fabio Camacho-Alonso
Summary: The research aimed to compare the influence of different drilling methods on implant success and osseointegration process. The study found no significant differences in the trabecular architecture between biological and conventional drilling techniques. Therefore, the drilling technique does not affect the success of the procedure or the osseointegration process.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Engineering, Biomedical
Kutay Aydin, Korhan OKten, Levent Ugur
Summary: This study focuses on the effect of different cutting conditions on temperature distribution and necrosis zones during drilling of human cortical bone. By selecting variable drill geometry and cutting parameters, it was found that drill diameter and cutting speed did not have a significant effect on temperatures and the feed rate and drill point angle had an indeterminate effect on the temperatures at high cutting speeds. The lowest temperature values were obtained at specific cutting speeds and feed rates, and the narrowest necrosis zones were obtained at specific cutting speeds and feed rates for both drill diameters.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Mechanical
Yunsong Lian, Xiande Chen, Chaoping Xie, Yangyang Long, Fengtian Lin, Wei Zhou, Xuyang Chu
Summary: In recent years, there has been an increase in the number of patients with orthopedic diseases, leading to a higher demand for orthopedic surgery. However, the occurrence of thermal necrosis and bone cracks during surgery has hindered the development of orthopedic procedures. This study designed a bionic drill based on the microstructure of the dung beetle's head and back, optimizing the microstructure configuration parameters. By establishing a mathematical model using infrared thermal imaging and acoustic emission signal technology, the cooling mechanism and crack suppression strategy were studied, resulting in improved cooling effects and crack suppression with the bionic drill.
CHINESE JOURNAL OF MECHANICAL ENGINEERING
(2023)
Article
Orthopedics
Kyle Stoops, Jeffrey Mark Brown, Brandon Santoni, John Groundland
Summary: This study investigates the thermal properties of commonly used PMMA formulations and explores their clinical implications. Some formulations exceeded the thresholds for potential thermal bone necrosis.
JOURNAL OF ORTHOPAEDIC RESEARCH
(2023)
Article
Engineering, Petroleum
Shahram Chamankhah, Mohsen Bazargan, Ali Forouzandeh, Siavash Riahi
Summary: Managed pressure drilling (MPD) is a drilling method that allows for more precise control of wellbore pressure compared to conventional drilling. This study investigated the impact of high power fiber laser heat tension on the carbonate rock body and proposed the use of MPD as an effective technology to control induced anomalies during laser-assisted drilling (LAD).
Article
Engineering, Multidisciplinary
Engin Unal, Faruk Karaca, Furkan Sarsilmaz
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
(2019)
Article
Engineering, Biomedical
Bunyamin Aksakal, Mehtap Demirel, Zeynep A. Sinirlioglu
BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK
(2018)
Article
Materials Science, Ceramics
Y. Say, B. Aksakal
JOURNAL OF SOL-GEL SCIENCE AND TECHNOLOGY
(2019)
Article
Optics
Mumin Mehmet Koc, Naim Aslan, Mustafa Erkovan, Bunyamin Aksakal, Orhan Uzun, W. Aslam Farooq, Fahrettin Yakuphanoglu
Article
Materials Science, Ceramics
Mehtap Uemirel, Ali Kaya, Bunyamin Aksakal
INTERNATIONAL JOURNAL OF APPLIED CERAMIC TECHNOLOGY
(2020)
Article
Materials Science, Multidisciplinary
Y. Say, B. Aksakal
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2020)
Article
Materials Science, Characterization & Testing
Faruk Karaca, Ilhan Can
Summary: International organizations have urged for the end of asbestos use due to its negative impact on health and the environment. Studies have focused on the development and research of nonasbestos linings, looking at factors like material content, production, cost, and mechanical properties. It is important to consider various parameters in designing lining materials for safe vehicle braking.
Article
Engineering, Mechanical
Faruk Karaca, Ilhan Can
Summary: The study aimed to investigate the impact of grain size on wear characteristics of linings, discovering that larger grain sizes result in higher wear rates. The change in cashew grain size significantly affects the friction coefficient and braking performance.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2021)
Article
Materials Science, Ceramics
Yakup Say, Bunyamin Aksakal, Zeynep A. Sinirlioglu
Summary: The effects of silver, selenium, and chitosan additives on the antibacterial activity and cell viability of NiTi were investigated. The results showed that silver additive significantly increased antibacterial properties but caused a decrease in cell viability, while selenium and chitosan additives did not have a significant effect on antibacterial properties but increased cell viability.
INTERNATIONAL JOURNAL OF APPLIED CERAMIC TECHNOLOGY
(2022)
Article
Materials Science, Multidisciplinary
N. Aslan, B. Aksakal, B. Dikici, Z. A. Sinirlioglu
Summary: The effect of HA-based coatings reinforced with rGO on porous-Ti6Al4V alloys in terms of electrochemical corrosion and cell viability was investigated. The results showed that rGO reinforcements reduced the corrosion rate of the scaffolds, and the corrosion rate increased as the porosity content of the scaffolds increased. 0.5 and 1.0wt% rGO-HA coating groups had better cell viability.
JOURNAL OF MATERIALS SCIENCE
(2022)
Article
Engineering, Biomedical
N. Aslan, B. Aksakal, M. E. Aksoy
Summary: In this study, boron-doped hydroxyapatite biocomposite coatings were successfully synthesized and characterized. The coatings displayed porous morphologies and showed antibacterial activity against both gram-negative and gram-positive bacteria. Furthermore, the coatings did not exhibit cytotoxic effects on living cells.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE
(2022)
Article
Engineering, Biomedical
M. Demirel, N. Aslan, B. Aksakal, M. E. Arslan
Summary: In this study, the effects of nano-gold (nAu) and nano-silver (nAg) on a synthesized bioceramic bone graft were evaluated. The chemical and morphological properties of the grafts were examined, and cell viability and nuclear abnormality tests were performed. The results showed that nAg contained higher cytotoxicity and led to higher nuclear abnormality compared to nAu.
JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART B-APPLIED BIOMATERIALS
(2023)
Article
Thermodynamics
Engin Unal, Faruk Karaca
Summary: This study investigates the effects of turning parameters on cutting temperature and force in stainless steel machining. It is found that both temperature and cutting force increase as the control parameters increase. Therefore, it is recommended to use AISI 316 as the choice for stainless steel alloy to minimize the temperature generated in the cutting tool.
Article
Thermodynamics
Faruk Karaca, Engin Unal, Ilhan Can
Summary: The study investigates the effects of sintering of Al2O3 additives in composite brake pads on braking performance, and finds that sintered Al2O3 additives improve the braking performance.
Article
Biophysics
Mehtap Demirel, Bunyamin Aksakal
ACTA OF BIOENGINEERING AND BIOMECHANICS
(2018)
Correction
Materials Science, Multidisciplinary
A. D. Boccardo, M. Tong, S. B. Leen, D. Tourret, J. Segurado
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Tao Li, Qing Hou, Jie-chao Cui, Jia-hui Yang, Ben Xu, Min Li, Jun Wang, Bao-qin Fu
Summary: This study investigates the thermal and defect properties of AlN using molecular dynamics simulation, and proposes a new method for selecting interatomic potentials, developing a new model. The developed model demonstrates high computational accuracy, providing an important tool for modeling thermal transport and defect evolution in AlN-based devices.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Shin-Pon Ju, Chao-Chuan Huang, Hsing-Yin Chen
Summary: Amorphous boron nitride (a-BN) is a promising ultralow-dielectric-constant material for interconnect isolation in integrated circuits. This study establishes a deep learning potential (DLP) for different forms of boron nitride and uses molecular dynamics simulations to investigate the mechanical behaviors of a-BN. The results reveal the structure-property relationships of a-BN, providing useful insights for integrating it in device applications.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
M. Salman, S. Schmauder
Summary: Shape memory polymer foams (SMPFs) are lightweight cellular materials that can recover their undeformed shape through external stimulation. Reinforcing the material with nano-clay filler improves its physical properties. Multiscale modeling techniques can be used to study the thermomechanical response of SMPFs and show good agreement with experimental results.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Laura Gueci, Francesco Ferrante, Marco Bertini, Chiara Nania, Dario Duca
Summary: This study investigates the acidity of 30 Bronsted sites in the beta-zeolite framework and compares three computational methods. The results show a wide range of deprotonation energy values, and the proposed best method provides accurate calculations.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
K. A. Lopes Lima, L. A. Ribeiro Junior
Summary: Advancements in nanomaterial synthesis and characterization have led to the discovery of new carbon allotropes, including biphenylene network (BPN). The study finds that BPN lattices with a single-atom vacancy exhibit higher CO2 adsorption energies than pristine BPN. Unlike other 2D carbon allotropes, BPN does not exhibit precise CO2 sensing and selectivity by altering its band structure configuration.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Jay Kumar Sharma, Arpita Dhamija, Anand Pal, Jagdish Kumar
Summary: In this study, the quaternary Heusler alloys LiAEFeSb were investigated for their crystal structure, electronic properties, and magnetic behavior. Density functional theory calculations revealed that LiSrFeSb and LiBaFeSb exhibit half-metallic band structure and 100% spin polarization, making them excellent choices for spintronic applications.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Roman A. Eremin, Innokentiy S. Humonen, Alexey A. Kazakov, Vladimir D. Lazarev, Anatoly P. Pushkarev, Semen A. Budennyy
Summary: Computational modeling of disordered crystal structures is essential for studying composition-structure-property relations. In this work, the effects of Cd and Zn substitutions on the structural stability of CsPbI3 were investigated using DFT calculations and GNN models. The study achieved accurate energy predictions for structures with high substitution contents, and the impact of data subsampling on prediction quality was comprehensively studied. Transfer learning routines were also tested, providing new perspectives for data-driven research of disordered materials.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Zhixin Sun, Hang Dong, Yaohui Yin, Ai Wang, Zhen Fan, Guangyong Jin, Chao Xin
Summary: In this study, the crystal structure, electronic structure, and optical properties of KH2PO4: KDP crystals under different pressures were investigated using the generalized gradient approximate. It was found that high pressure caused a phase transition in KDP and greatly increased the band gap. The results suggest that high pressure enhances the compactness of KDP and improves the laser damage threshold.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Tingting Yu
Summary: This study presents atomistic simulations revealing that an increase in driving force may result in slower grain boundary movement and switches in the mode of grain boundary shear coupling migration. Shear coupling behavior is found to effectively alleviate stress and holds potential for stress relaxation and microstructure manipulation in materials.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Y. Zhang, X. Q. Deng, Q. Jing, Z. S. Zhang
Summary: The electronic properties of C2N/antimonene van der Waals heterostructure are investigated using density functional theory. The results show that by applying horizontal strain, vertical strain, electric field, and interlayer twist, the electronic structure can be adjusted. Additionally, the band alignment and energy states of the heterostructure can be significantly changed by applying vertical strain on the twisted structure. These findings are important for controlling the electronic properties of heterostructures.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Chad E. Junkermeier, Evan Larmand, Jean-Charles Morais, Jedediah Kobebel, Kat Lavarez, R. Martin Adra, Jirui Yang, Valeria Aparicio Diaz, Ricardo Paupitz, George Psofogiannakis
Summary: This study investigates the adsorption properties of carbon dioxide (CO2), methane (CH4), and dihydrogen (H2) in carbophenes functionalized with different groups. The results show that carbophenes can be promising adsorbents for these gases, with high adsorption energies and low desorption temperatures. The design and combination of functional groups can further enhance their adsorption performance.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Y. Borges, L. Huber, H. Zapolsky, R. Patte, G. Demange
Summary: Grain boundary structure is closely related to solute atom segregation, and machine learning can predict the segregation energy density. The study provides a fresh perspective on the relationship between grain boundary structure and segregation properties.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
M. R. Jones, L. T. W. Fey, I. J. Beyerlein
Summary: In this work, a three-dimensional ab-initio informed phase-field-dislocation dynamics model combined with Langevin dynamics is used to investigate glide mechanisms of edge and screw dislocations in Nb at finite temperatures. It is found that the screw dislocation changes its mode of glide at two distinct temperatures, which coincides with the thermal insensitivity and athermal behavior of Nb yield strengths.
COMPUTATIONAL MATERIALS SCIENCE
(2024)
Article
Materials Science, Multidisciplinary
Joshua A. Vita, Dallas R. Trinkle
Summary: This study introduces a new machine learning model framework that combines the simplicity of spline-based potentials with the flexibility of neural network architectures. The simplified version of the neural network potential can efficiently describe complex datasets and explore the boundary between classical and machine learning models. Using spline filters for encoding atomic environments results in interpretable embedding layers that can incorporate expected physical behaviors and improve interpretability through neural network modifications.
COMPUTATIONAL MATERIALS SCIENCE
(2024)