Article
Computer Science, Interdisciplinary Applications
DaiZhu Yuan, ZhanYu Wu, Long Yang, Qiang Zou, DaWei Hua, ZiHao Zou, Chuan Ye
Summary: This study investigated the effects of different core decompression drilling locations and diameters on mechanical stability using finite element analysis. It was found that femoral stiffness decreased with increasing drilling diameters, while maximum equivalent stress increased. A safe drilling parameter range suitable for most patients was proposed.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Computer Science, Interdisciplinary Applications
Pei-Ching Kung, Mahtab Heydari, Nien-Ti Tsou, Bruce L. Tai
Summary: The objective of this study is to develop and test a framework for immediate visualization of bone drilling temperature based on a neural network and a linear time-invariant model. The results show that the framework can accurately predict the temperature distribution during bone drilling, with an average error of less than 5%. Future improvements include strategies for training data selection and formatting.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Chemistry, Analytical
Yinuo Zhang, Hongchao Qiao, Jibin Zhao, Zhihe Cao
Summary: This study investigated the transient thermal effects and material removal mechanisms of water jet-guide laser processing technology on different metal materials. The analysis of processing characteristics for different materials showed that each metal material exhibited different behaviors during the processing.
Article
Engineering, Mechanical
Lei Shi, Kai Luo, Jiangang Wang, Ding Feng, Hong Zhang, Xinjian Cao
Summary: The study found that large-scale oxide metallurgical inclusions near the casing caused the casing to crack, while the casing was subjected to stress exceeding its strength limit resulting in fracture. Recommendations include controlling heat treatment processes, optimizing material structure, rigorous testing of casing performance, and establishing a real-time analysis system.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Materials Science, Composites
Gianluca Parodo, Felice Rubino, Luca Sorrentino, Sandro Turchetta
Summary: The aim of this study is to monitor the temperature during the dry drilling of fiber metal laminates used in the aviation field and analyze the influence of cutting speed on temperature trends. Experimental results show that increasing the spindle speed can reduce the temperatures on the tool and flank, and the thermal properties of carbon and glass fibers play a significant role in temperature distribution.
POLYMER COMPOSITES
(2022)
Article
Engineering, Mechanical
Milan Zdravkovic, Nikola Korunovic
Summary: Mass-customization is important for customer-focused industries, but the traditional methods for product design and validation are time-consuming and expensive. This paper proposes a real-time structural analysis assistance using a compiled Finite Element Analysis (FEA) model. The model consists of dataset of product parameters, ML algorithms, and associated hyperparameters. A case study of internal orthopedic fixator is provided.
FACTA UNIVERSITATIS-SERIES MECHANICAL ENGINEERING
(2023)
Article
Mathematics, Applied
Tamas Orosz, David Panek, Miklos Kuczmann
Summary: Optimization is crucial in electrical machine and device design. Accounting for uncertainties and tolerances from the early stages of design can result in more robust designs and minimize waste during manufacturing. However, robust design optimization problems have high computational demands. This study investigates how computational demand and robustness are influenced by the sensitivity metric used, using the multi-objective TEAM 35 benchmark problem. Plackett-Burman and Central Composite Design metrics provide more accurate and consistent estimates of sensitivity compared to the original worst-case metric, with slightly higher computational demands.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Kai-Hung Yu, Shiau-Cheng Shiu, Chun-Wei Liu
Summary: In this study, the clamping stress and force involved in the centering of optical glass lens were evaluated and quantified. Surrogate models were established to predict clamping stress based on key parameters, reducing the time required for finite element analysis.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Agronomy
Wenqi Zhou, Kai Song, Xiaobo Sun, Qiang Fu, Yijia Wang, Qi Wang, Dongwei Yan
Summary: This study innovatively designed a water jet-based rice inter-plant weed control device, which can erode and excavate the soil layer on which weeds depend, achieving inter-plant weed control in paddy fields. The optimal structural parameters of the device were a jet angle of 31 degrees and a nozzle opening diameter of 4 mm, which can achieve the best operational performance. This study provides a technical reference for promoting the development of inter-plant weed control technology in paddy fields.
Article
Automation & Control Systems
Mohammad Ali Ansari, Reza Abdi Behnagh, Alberto Salvadori
Summary: The study uses numerical analysis to optimize the water jet spot welding process, explore the influencing factors, and evaluate the quality of the weld. This can help avoid high-cost post-production inspections, making it suitable for mass production.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Energy & Fuels
Sergey Krivoshchekov, Alexander Kochnev, Evgeny Ozhgibesov
Summary: This paper studies the applicability of machine-learning algorithms, specifically neural networks, in forecasting the effectiveness of Improved recovery methods, focusing on the case operation of radial jet drilling. The target variable is the liquid flow rate after radial jet drilling, and geological and process parameters are taken as features. The effect of various network parameters on learning quality has been assessed, and conclusions have been made on the applicability of neural networks in evaluating the radial jet drilling potential of wells in various geological conditions of carbonate reservoirs.
Article
Engineering, Marine
Fengyuan Jiang, Enjin Zhao
Summary: This study demonstrates the significant impact of interacting effects on the failure risk of corroded pipelines, highlighting a non-linear relationship between failure probability and interval space. The uncertainties of stochastic variables also play an important role in determining failure risk.
Article
Biology
Seyed Shayan Sajjadinia, Bruno Carpentieri, Duraisamy Shriram, Gerhard A. Holzapfel
Summary: This study proposes a hybrid machine learning method that utilizes a simplified model to generate a dataset of low-fidelity results, aiming to improve the accuracy and efficiency of surrogate modeling for soft tissues.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Engineering, Multidisciplinary
Christopher P. Kohar, Lars Greve, Tom K. Eller, Daniel S. Connolly, Kaan Inal
Summary: This paper introduces a novel framework for predicting CAE simulation results using machine learning, which utilizes virtual design of experiments to generate training data for FE models and employs 3D-CNN autoencoders combined with LSTM-NN for prediction.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Chemistry, Analytical
Xijin Shi, Sheng-Jen Hsieh, Roseli Aparecida Francelin Romero
Summary: This study uses infrared imaging and finite element analysis model to investigate plant root system architecture and non-visible bubbles in plexiglass, and develops machine learning models to predict the characteristics of these hidden structures, confirming their validity.
Article
Surgery
Suleyman Altun, Mehmet Sukru Sahin, Gokhan cakmak, Kemal Gokkus, Aysen Terzi
Summary: This study investigated the effects of different doses of nadroparin calcium and rivaroxaban on Achilles tendon healing. The results showed that both drugs had beneficial effects on Achilles tendon healing.
JOURNAL OF HAND AND MICROSURGERY
(2023)
Article
Thermodynamics
Antoine Metsue, Romain Debroeyer, Sebastien Poncet, Yann Bartosiewicz
Summary: Thermodynamic models are essential for designing supersonic ejectors, but current models struggle to fully integrate the physics within the device, with the compound-choking theory potentially better suited for predicting the behavior of double choked ejectors.
Article
Thermodynamics
Mohamad Cheayb, Mylene Marin Gallego, Mohand Tazerout, Sebastien Poncet
Summary: The study focuses on the economic aspect of T-CAES by coupling an economic model to the thermodynamic model to investigate and optimize design parameters, analyzing and discussing plant costs and economic benefits compared to electrochemical batteries. The optimal range of storage pressure and the impact of power scale on unit cost are key factors affecting the economic competitiveness of T-CAES.
Article
Thermodynamics
Raphael Oberti, Junior Lagrandeur, Sebastien Poncet
Summary: A numerical benchmark is conducted to evaluate the performance of a Ranque-Hilsch vortex tube using subcritical carbon dioxide as the working fluid. Different thermodynamic and turbulence models are compared to experimental data, and the k-? SST model demonstrates superior performance in terms of cold and hot outlet total temperature predictions. The accuracy is further improved by considering real-gas equations of state, particularly with the multi-parameter Span-Wagner equation at high operating pressure. The study examines internal flow features and discusses the validity of common assumptions made in one-dimensional thermodynamic models, and quantifies the exergy efficiency of the vortex tube at various cold mass fractions.
Article
Thermodynamics
V. Tamimi, M. J. Esfehani, M. Zeinoddini, M. S. Seif, S. Poncet
Summary: The unbounded linearly increasing responses in galloping instability make sharp-edge oscillators a beneficial solution for bladeless energy harvesting. While the performance of single square oscillators has been the subject of several studies in the past, there is still little knowledge about their hydrokinetic energy performance in tandem configurations. The synergy of tandem configuration at close spacing improves the maximum efficiency of the energy harvester by 97% as compared to two separate isolated oscillators.
Review
Orthopedics
Balgovind S. Raja, Manit Arora, Aditya K. S. Gowda, Vikas K. Maheshwari, Anil Regmi
Summary: This systematic review analyzes the biomechanical construct and clinical outcomes of suture tapes in ACL repairs and reconstructions, finding that suture tapes provide better biomechanical support and stability, with similar clinical outcomes compared to traditional methods.
INDIAN JOURNAL OF ORTHOPAEDICS
(2023)
Article
Thermodynamics
Ahmed Mansour, Raphael Oberti, Hakim Nesreddine, Sebastien Poncet
Summary: A thermodynamic model is used to analyze a transcritical carbon dioxide heat pump cycle integrating a vortex tube. The objective is to prove that a vortex tube is beneficial in raising heat pump efficiency. The study found that the heating coefficient of performance of the vortex tube heat pump is improved by a maximum of 43.7% compared to that of the conventional heat pump when parameters such as hot exit pressure and desuperheater glycol mass flow rate are optimized.
APPLIED THERMAL ENGINEERING
(2023)
Review
Orthopedics
Souvik Paul, Manit Arora, Lakhsmana Das, Balgovind S. Raja, Roop Bhusan Kalia
Summary: A systematic review found that the glenoid dimensions in the Indian population are smaller compared to European and American populations. The average glenoid maximum width of the Indian population is 1.3 mm smaller than the minimum glenoid baseplate size available in reverse shoulder arthroplasty. Therefore, there is a need to design glenoid components specific to the Indian market to reduce glenoid failure.
INDIAN JOURNAL OF ORTHOPAEDICS
(2023)
Article
Thermodynamics
Alla Eddine Benchikh Le Hocine, Sebastien Poncet, Hachimi Fellouah
Summary: In this study, a powerful double-intake and rotor squirrel cage fan was designed and optimized using open source libraries: Dakota, Salome and OpenFoam. By maximizing and minimizing the total efficiency and the force applied on the impeller, the performance of the fan was improved. A coupling was achieved between CFD, Latin Hypercube Sampling, Kriging metamodel and Efficient Global Optimization to find the optimal design. Configuration 2 improved the efficiency by 7.64% and reduced the force by 33.36% compared to Configuration 1. The Kriging and EGO models accurately predicted the objective functions of the optimal design with a maximum error of 4.50%. Based on the optimal design of Configuration 2, a blade trimming was applied, which improved the initial efficiency by 7.86%. The optimal prototype was successfully built and validated against experimental data with a maximum error of 1.10%.
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
(2023)
Article
Thermodynamics
Alexandre Coulombe, Mouna Rahal, Hachimi Fellouah, Sebastien Poncet
Summary: In this study, a 1D frost formation model is improved and validated using experimental data. It is found that larger plate spacing is less affected by frost growth, and the heat recovery efficiency decreases from 87% to 77% for a 2.5 mm spacing after 25 minutes.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Engineering, Marine
Sergio Croquer, Pilar Diaz-Carrasco, Vahid Tamimi, Sebastien Poncet, Jay Lacey, Ioan Nistor
Summary: Climate change and rising sea levels pose a challenge for predicting wave-coastal structure interactions due to their stochastic nature, coexistence of various phenomena, and wave transformations. This study presents a validated two-phase model to study wave dynamic interactions with impermeable structures, considering air compressibility and turbulence effects. The model is applied to analyze wave interactions with vertical walls in Saint-Lawrence Bay, Canada, using statistical data of wave conditions. Results provide insights into hydrodynamic loads and overtopping for different wave scenarios.
Article
Engineering, Multidisciplinary
Mahmoud A. Alzoubi, Oraib Al-Ketan, Jayaveera Muthusamy, Agus P. Sasmito, Sebastien Poncet
Summary: This paper introduces innovative T-shape micromixers equipped with various 3D printed Gyroid matrices aiming to boost the mixing performance. A numerical model has been derived and validated to investigate the impact of various Gyroid matrices on the mixing index, pressure drop, and performance index of T-shape micromixers at various Reynolds and Schmidt numbers. The results indicate that the twisted Gyroid matrix provides the highest enhancement in the mixing performance by boosting the mixing index up to 172% and shortening the mixing channel by 41%.
RESULTS IN ENGINEERING
(2023)
Article
Thermodynamics
Daryoush Dadpour, Mohammad Gholizadeh, Mohammad Estiri, Sebastien Poncet
Summary: Waste heat recovery systems are proposed as a promising solution to reduce energy consumption. This paper introduces a novel waste heat recovery system installed on a ship using supercritical/transcritical CO2 waste heat recovery, capable of generating power and cooling. The system is optimized to achieve high energy efficiency, exergy efficiency, and low capital cost, with a net power output of 9.061 kW and cooling output of 19.522 kW at design condition.
Article
Orthopedics
Murat Saylik, Kemal Gokkus
Summary: Neglected bilateral posterior shoulder dislocation, usually caused by epileptic seizure, is rare. The modified McLaughlin technique can be used to treat reverse Hill-Sachs lesions affecting 20-40% of the articular surface. This article presents a case of neglected bilateral posterior shoulder dislocation that was overlooked for 15 months. The patient underwent the modified McLaughlin procedure, resulting in moderately functional shoulders without recurrence.
JOINT DISEASES AND RELATED SURGERY
(2023)
Letter
Orthopedics
Manit Arora
INDIAN JOURNAL OF ORTHOPAEDICS
(2023)
