Engineering reports : open access最新文献

{"title":"m5C-TNKmer: Identification of 5-Methylated Base Cytosine of Ribonucleic Acid Using Supervised Machine Learning Techniques","authors":"Shahid Qazi,&nbsp;Dilawar Shah,&nbsp;Mohammad Asmat Ullah Khan,&nbsp;Shujaat Ali,&nbsp;Mohammad Abrar,&nbsp;Asfandyar Khan,&nbsp;Muhammad Tahir","doi":"10.1002/eng2.13073","DOIUrl":"https://doi.org/10.1002/eng2.13073","url":null,"abstract":"<p>5-Methylcytosine (m⁵C) is a widely recognized epigenetic modification in ribonucleic acid (RNA), catalyzed by methyltransferases. This modification is crucial for various biological functions. While the role of m⁵C in deoxyribonucleic acid (DNA) has been extensively studied, its role in RNA is still in its early stages of exploration. Accurate and systematic detection and classification of m⁵C sites in RNA remain challenging tasks. Machine learning techniques offer an efficient alternative to traditional laboratory methods for identifying m⁵C sites in <i>Homo sapiens</i>. This study introduces a novel computational model m⁵C-TNKmer, which utilizes k-mer feature extraction to enhance the identification of m⁵C sites in RNA sequences. Four sub-datasets derived from the primary dataset Di-nucleotide (DNC), Tri-nucleotide (TNC), Tetra-nucleotide (Tetra-NC), and Penta-nucleotide (Penta-NC) were used to train the model. The results demonstrated that m⁵C-TNKmer achieved an impressive accuracy of 96.15%. This model provides a powerful tool for scientists to accurately identify RNA m⁵C sites, contributing to a deeper understanding of genetic functions and regulatory mechanisms.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.13073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Process Parameters and Tool Design in Friction Stir Extrusion: A Sustainable Recycling Technique","authors":"Mostafa Akbari,&nbsp;Parviz Asadi,&nbsp;Reza Abdi Behnagh,&nbsp;Fevzi Bedir,&nbsp;Naghdali Choupani,&nbsp;Tomasz Sadowski","doi":"10.1002/eng2.13060","DOIUrl":"https://doi.org/10.1002/eng2.13060","url":null,"abstract":"<p>Friction stir extrusion (FSE) is a versatile technique that plays a dual role in sustainable recycling and shaping of materials. This method involves a rotating mandrel and a fixed matrix within a mold, where compressed waste metal chips or primary bulk materials are introduced. The rotating mandrel exerts continuous axial pressure, generating frictional heat that softens and bonds the materials together. As the mandrel advances, the materials are reshaped and extruded through the cavity inside the mandrel or the space between the mandrel and the matrix, resulting in the desired product, such as wires or pipes. FSE finds applications in recycling machining wastes, improving powder metallurgy products, producing wire raw materials, creating structures with fine microstructures, and developing new alloys and composites. The resulting materials exhibit refined grains, leading to enhanced mechanical and metallurgical properties. This review article compiles experimental studies exploring the mechanical and microstructural characteristics of samples manufactured using FSE for recycling, reshaping, alloying, or bilayer production. Additionally, it discusses various tool, mold, and machine designs proposed by researchers. Beyond its unique properties, FSE is highlighted as an energy-efficient, sustainable, and eco-friendly process.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.13060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring and Analysis of Circumferential Pressure for Long-Distance Pipe Jacking Construction in Composite Strata","authors":"Yunfei Zhao,&nbsp;Feilun Luo,&nbsp;Liang Xiong","doi":"10.1002/eng2.13066","DOIUrl":"https://doi.org/10.1002/eng2.13066","url":null,"abstract":"<p>At present, the monitoring methods of mechanical parameters of pipe in the process of pipe jacking construction generally have the disadvantages of low data reliability and poor timeliness. Especially in the jacking construction in complex strata, if the jacking parameters and lubrication grouting parameters cannot be adjusted in real time according to the circumferential pressure, it is easy to cause pipe sticking accident. Based on the Inner Mongolia Water Diversion Project from ChaorHe to Liaoning, this paper adopts the LPWA low-power wide-area network wireless sensing system based on 5G and IOT technology to realize the real-time wireless monitoring of the contact pressure and lubrication grouting pressure of the underground pipe jacking pipe. Through the parameters obtained by the wireless sensing system, the stress characteristics of a specific pipe traversing different strata and under different working conditions were studied, and the change rule of circumferential contact pressure of the pipe and the influence of various factors on it were analyzed. The results show that: by analyzing the circumferential contact pressure obtained by the wireless sensing system, the pressure distribution of the pipe in the top soft and bottom hard strata is right&gt;left&gt;bottom&gt;top; in the full-section strata, the destruction of the lubricating mud sleeve will lead to the same contact pressure on one side and the bottom of the pipe; when the pipe traverse the interfaces of different rock strata, the stability of the lubricating mud sleeve will be affected, and thus the circumferential contact pressure will be altered. The above results are consistent with the theoretical prediction and can provide reference for the actual project. In conclusion, the wireless sensing system can accurately reflect the distribution of circumferential contact pressure of the pipe under different strata, and provide reliable data support for improving construction efficiency and safety.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.13066","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetohydrodynamic Effects on Double Diffusion of Non-Newtonian Hybrid Nanofluid in Circular Eccentric Annuli","authors":"Israt Jahan Supti,&nbsp;Md. Mamun Molla,&nbsp;Preetom Nag,&nbsp;Sadia Siddiqa,&nbsp;Souhail Souai","doi":"10.1002/eng2.13072","DOIUrl":"https://doi.org/10.1002/eng2.13072","url":null,"abstract":"&lt;p&gt;The numerical investigation conducted in this study focuses on the heat and mass transfer in magnetohydrodynamic non-Newtonian power-law fluid flow of temperature-dependent Al&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt;–Fe&lt;sub&gt;3&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt;–water hybrid nanofluid within cylindrical annuli across four different eccentricities. This type of problem finds widespread application in various engineering contexts, where hybrid non-Newtonian fluids offer enhanced efficiency for cooling and insulation purposes. In this configuration, the inner circle of the geometry is hot while the outer circle is cold, with the nanofluid filling the space between the cylinders. The governing equations are simulated using the Galerkin weighted residual finite element method. Various parameters are controlled in the study, including the Rayleigh number ranging from &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msup&gt;\u0000 &lt;mn&gt;10&lt;/mn&gt;\u0000 &lt;mn&gt;4&lt;/mn&gt;\u0000 &lt;/msup&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {10}^4 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; to &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msup&gt;\u0000 &lt;mn&gt;10&lt;/mn&gt;\u0000 &lt;mn&gt;6&lt;/mn&gt;\u0000 &lt;/msup&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {10}^6 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;, power-law index ranging from &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;0.7&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 0.7 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; to &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;1.4&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 1.4 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;, nanoparticle volume fraction ranging from &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;0&lt;/mn&gt;\u0000 &lt;mo&gt;%&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 0% $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; to &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;4&lt;/mn&gt;\u0000 &lt;mo&gt;%&lt;/mo&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 4% $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;, Hartmann number ranging from &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;0&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 0 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; to &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mn&gt;30&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ 30 $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;, Buoyancy ratio ranging from &lt;span&gt;&lt;","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.13072","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of Silane-Treated Jute/Kenaf Fibers on the Mechanical Properties of Polymer Composites for Biomedical Applications: Optimization Using RSM and ANN Approaches","authors":"R. Saravanan,&nbsp;S. Jothi Arunachalam,&nbsp;T. Sathish,&nbsp;Jayant Giri,&nbsp;Muhammad Imam Ammarullah","doi":"10.1002/eng2.13059","DOIUrl":"https://doi.org/10.1002/eng2.13059","url":null,"abstract":"<p>This study investigates the effect of silane-treated jute/kenaf fibers on the flexural and hardness properties of polymer composites for potential biomedical applications, such as prosthetics and bio-implants. Using response surface methodology (RSM) and artificial neural network (ANN), the optimal combination of nanoparticle percentage, silane concentration, and silane dipping duration was identified to enhance the mechanical properties of the composites. RSM, coupled with analysis of variance (ANOVA), evaluated the influence of these variables on composite performance, revealing that silane treatment significantly improved flexural strength, while all fiber-related variables impacted both flexural strength and hardness. The silane dipping duration emerged as the most influential factor, with nanoparticle addition enhancing fiber–matrix interactions and promoting better agglomeration. The ANN model accurately predicted the composite's properties, with results strongly correlating to experimental data. The optimized formulation, consisting of 5% nanoparticle content, 10% silane treatment, and a 20-min silane dipping duration, demonstrated a 26.22% increase in flexural strength and a 33.15% improvement in hardness. This optimized composite formulation holds promise for use in biomedical applications requiring high mechanical strength and durability, such as in prosthetic materials and orthopedic implants, where enhanced flexural strength and hardness are critical for longevity and performance.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.13059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Calculation Model of Cutterhead Resistance for Pipe Jacking in Rock Strata and Soil–Rock Composite Strata","authors":"Yulong Cao,&nbsp;Ran Zhong,&nbsp;Rongdong Tao,&nbsp;Feilun Luo,&nbsp;Liang Xiong,&nbsp;Yue Fan,&nbsp;Jiahao Mei,&nbsp;Peng Zhang","doi":"10.1002/eng2.13071","DOIUrl":"https://doi.org/10.1002/eng2.13071","url":null,"abstract":"<p>Jacking force is one of the most important parameters in the design and construction of pipe jacking engineering, and cutterhead resistance is an important part of jacking force. Pipe jacking is increasingly applied to rock strata, but there are few calculation models for the jacking force in rock strata and soil–rock strata. For this reason, this article, under the assumption of stable conditions of pipe jacking face, summarizes the cutterhead resistance of soil strata. The rock-breaking mechanism, stress model, and influence law of cutterhead of rock pipe jacking machine are analyzed. And on this basis, the calculation formula of cutterhead resistance of pipe jacking in rock strata is deduced. And the cutterhead resistance of soil–rock composite strata is determined according to the proportion of strata. Finally, the field measured values and code calculation results are compared with the formula values in this article. The results show: in rock pipe jacking, the compressive and shear strengths of the rock and the depth of the pipe jacking cutter cut into the rock directly determine the value of the cutterhead resistance; and the calculated value of cutterhead resistance of soil–rock composite strata determined according to the strata ratio is consistent with the measured cutterhead resistance, which proves its applicability.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.13071","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced Lung Cancer Prediction via Integrated Multi-Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning","authors":"Abigail Kawama,&nbsp;Ronald Waweru Mwangi,&nbsp;Lawrence Nderu","doi":"10.1002/eng2.13069","DOIUrl":"https://doi.org/10.1002/eng2.13069","url":null,"abstract":"<p>Lung cancer, marked by the rapid and uncontrolled proliferation of abnormal cells in the lungs, continues to be one of the leading causes of cancer-related deaths globally. Early and accurate diagnosis is critical for improving patient outcomes. This research presents an enhanced lung cancer prediction model by integrating Adaptation Multiple Spaces Feature and L1-norm Regularization (AMSF-L1ELM) with Primitive Generation with Collaborative Relationship Alignment and Feature Disentanglement Learning (PADing). Initially, the AMSF-L1ELM model was employed to address the challenges of feature alignment and multi-domain adaptation, achieving a baseline performance with a test accuracy of 83.20%, precision of 83.43%, recall of 83.74%, and an F1-score of 83.07%. After incorporating PADing, the model exhibited significant improvements, increasing the test accuracy to 98.07%, precision to 98.11%, recall to 98.05%, F1-score to 98.06%, and achieving a ROC-AUC of 100%. Cross-validation results further validated the model's robustness, with an average precision of 99.73%, recall of 99.55%, F1-score of 99.64%, and accuracy of 99.64% across five folds. The study utilized four distinct datasets covering a range of imaging modalities and diagnostic labels: the Chest CT-Scan dataset from Kaggle, the NSCLC-Radiomics-Interobserver1 dataset from TCIA, the LungCT-Diagnosis dataset from TCIA, and the IQ-OTH/NCCD dataset from Kaggle. In total, 4085 images were selected, distributed between source and target domains. These results demonstrate the effectiveness of PADing in improving the model's performance and enhancing lung cancer prediction accuracy across multiple domains in complex medical imaging data.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.13069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Question of Thermoelectric Devices (TEDs) In/Efficiency—A Practical Investigation Considering Thermoelectric Heaters (TEHs)","authors":"Nganyang Paul Bayendang,&nbsp;Mohamed Tariq Kahn,&nbsp;Vipin Balyan","doi":"10.1002/eng2.13061","DOIUrl":"https://doi.org/10.1002/eng2.13061","url":null,"abstract":"<p>Thermoelectricity is a promising technology; however, though clean and versatile, its efficiency has been questionable and consequently limiting its extensive utilization. Many published research on thermoelectricity have been on power generation and cooling applications, with few publications on heating, especially practically. Thus, this article practically focuses on thermoelectric devices (TEDs) when used as thermoelectric heaters (TEHs). Sixteen identical TEDs (TEC-12706) were operated as TEHs under similar test modalities and powered in succession with 12, 10, 8, 6, and 4 V, to practically examine TEHs energy dynamics and in/efficiency. It was found that all the TEHs used in the research performed relatively inconsistent with each other with the worst-performed TEH (TEH0) having a mean hot-side temperature of 30.276°C with a mean power consumption of 13.826 W; whereas the best-performed TEH (TEH3) had a mean hot-side temperature of 40.4°C with a mean power consumption of 20.822 W. Furthermore, all the TEHs hot-side temperature increased proportionately with the input voltage; though at the specified voltages, the TEHs hot-side temperature increased while its input power decreased over time. The concepts of TEH hot-side mean temperature and TEH mean input power were also introduced.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.13061","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Governing of Melt Pool Solidification Parameters and Microstructure Evolution Indicator During SLM-Ti6Al4V Alloy Through Parametric Sweep Optimization","authors":"Kidu Gebrecherkos Weldeanenia,&nbsp;Samuel Kinde Kassegne,&nbsp;Perumalla Janaki Ramulu","doi":"10.1002/eng2.13040","DOIUrl":"https://doi.org/10.1002/eng2.13040","url":null,"abstract":"<p>Selective laser melting (SLM) process offers a versatile additive manufacturing technology. However, the wide range of process parameters and complex thermophysical phenomenon necessitate optimization of process parameters for obtaining a high-quality finished product. The optimization of process parameters through experiment is expensive and time-consuming. On the other hand, computational approaches offer a fast and economical way to predict the contributions of process parameters. In this article, therefore, a multiphysics finite-element model and phase-filed model of solidification process were used to investigate the effects of process parameters on the melt pool solidification parameters and microstructure evolution of SLM-Ti6Al4V process. Simulations were performed using the single-level setup method followed by a parametric sweep optimization (PSO) approach that helped identify the best-suited process parameters. Through the PSO, reductions in temperature gradient by 9.7% and 13.7%, and cooling rate by 23.6% and 14.3% were found at a fixed laser scan speed and laser power, respectively. The associated solidification morphology factor was found to be 5.8 × 10⁵ Ks/m². In addition, the primary dendrite arm spacing (PDAS) was found to be at 3.6% and 6.8% increments at a fixed laser speed and laser power, respectively. Finally, optimal results of the solidification parameters were compared with the existing data to validate the approach. The simulation results have been shown that reduction in the temperature gradient by 28.5%, cooling rate by 48.6%, and solidification morphology factor by 3.3% tend to minimize fluctuation of melt pool. The comparisons have also shown that the PSO approach is effective and accurate for predicting the solidification behaviors of SLM-Ti6Al4V process.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.13040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Interactive Computational Pipeline to Investigate Ventricular Hemodynamics with Real-Time Three-Dimensional Echocardiography and Computational Fluid Dynamics","authors":"Jan-Niklas Thiel,&nbsp;Daniel Verhülsdonk,&nbsp;Ulrich Steinseifer,&nbsp;Katharina Linden,&nbsp;Ulrike Herberg,&nbsp;Ingeborg Friehs,&nbsp;Daniel Diaz-Gil,&nbsp;Michael Neidlin","doi":"10.1002/eng2.13041","DOIUrl":"https://doi.org/10.1002/eng2.13041","url":null,"abstract":"<p>Blood flow within the ventricle can provide important information on the performance of the heart. The determined blood flow structures are used to extract flow biomarkers to quantify cardiac function. Patient-specific computational fluid dynamics (CFD) models that import segmented ventricular deformations from noninvasive imaging data for an individualized hemodynamical analysis are often used. However, tedious preprocessing of those geometries is often necessary and decisions on the modeling of the valve and the surrounding vessels have to be made on an individual level. This leads to a lack of reproducibility and usability of the existing computational models. In this work, we introduce <i>IP-HEART</i>—an interactive and open-source computational pipeline to perform geometry processing for CFD models of ventricular blood flow. We showcase its use on real-time three-dimensional echocardiography data of three patient datasets from two different clinical centers. We outline how different modeling assumptions of the mitral valve can be implemented and quantify their effect on CFD simulations. The results correspond well with clinical data on transvalvular Doppler ultrasound recordings and distinct flow features such as mitral jet and diastolic vortex formation can be observed. The pipeline is accompanied by an extensive video tutorial and freely available code for further use.</p>","PeriodicalId":72922,"journal":{"name":"Engineering reports : open access","volume":"7 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/eng2.13041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}