Results in Engineering最新文献

英文中文

VINO_EffiFedAV: VINO with efficient federated learning through selective client updates for real-time autonomous vehicle object detection

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2024-12-14 DOI: 10.1016/j.rineng.2024.103700

K. Vinoth, P. Sasikumar

The advancement of autonomous vehicle technology relies heavily on sophisticated machine-learning models that facilitate real-time object detection and classification. To address this requirement, we propose VINO_EffiFedAV, a novel federated learning framework specifically designed for autonomous vehicles. By leveraging NVIDIA T4 GPUs and integrating camera sensor data, this framework develops and trains customized YOLOv8 models directly within each vehicle, ensuring localized processing and enhanced data privacy and security. YOLOv8′s superior real-time performance, lightweight and scalable architecture, and improved accuracy in detecting small objects make it an ideal choice. Our approach effectively manages Non-Independent and Identically Distributed (Non-IID) data from diverse environmental conditions through an efficient selective client update mechanism integrated with the Federated Averaging (FedAvg) algorithm. This strategy strategically filters and aggregates client contributions, reducing the impact of outlier data and maintaining a robust global model. The system's versatility and effectiveness are validated across various datasets, including KITTI for IID conditions and Nuimages and Cityscapes for Non-IID scenarios, enhancing the model's ability to generalize across different driving environments. Notably, our framework reduces average communication cost by up to 50 % and 64 % and computational complexity by 72 % and 84 % for IID and Non-IID scenarios. Moreover, consistent latency performance ensures reliable real-time object detection, achieving impressive mean average precision scores of 84.3 % and 61.6 %. These results underscore the potential of VINO_EffiFedAV to enhance object detection systems in autonomous vehicles, contributing to safer and more efficient navigation.

{"title":"VINO_EffiFedAV: VINO with efficient federated learning through selective client updates for real-time autonomous vehicle object detection","authors":"K. Vinoth, P. Sasikumar","doi":"10.1016/j.rineng.2024.103700","DOIUrl":"10.1016/j.rineng.2024.103700","url":null,"abstract":"<div><div>The advancement of autonomous vehicle technology relies heavily on sophisticated machine-learning models that facilitate real-time object detection and classification. To address this requirement, we propose VINO_EffiFedAV, a novel federated learning framework specifically designed for autonomous vehicles. By leveraging NVIDIA T4 GPUs and integrating camera sensor data, this framework develops and trains customized YOLOv8 models directly within each vehicle, ensuring localized processing and enhanced data privacy and security. YOLOv8′s superior real-time performance, lightweight and scalable architecture, and improved accuracy in detecting small objects make it an ideal choice. Our approach effectively manages Non-Independent and Identically Distributed (Non-IID) data from diverse environmental conditions through an efficient selective client update mechanism integrated with the Federated Averaging (FedAvg) algorithm. This strategy strategically filters and aggregates client contributions, reducing the impact of outlier data and maintaining a robust global model. The system's versatility and effectiveness are validated across various datasets, including KITTI for IID conditions and Nuimages and Cityscapes for Non-IID scenarios, enhancing the model's ability to generalize across different driving environments. Notably, our framework reduces average communication cost by up to 50 % and 64 % and computational complexity by 72 % and 84 % for IID and Non-IID scenarios. Moreover, consistent latency performance ensures reliable real-time object detection, achieving impressive mean average precision scores of 84.3 % and 61.6 %. These results underscore the potential of VINO_EffiFedAV to enhance object detection systems in autonomous vehicles, contributing to safer and more efficient navigation.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"25 ","pages":"Article 103700"},"PeriodicalIF":6.0,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166840","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}

引用次数: 0

Analysis of wind power generation potential and wind turbine installation economics: A correlation-based approach

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2024-12-14 DOI: 10.1016/j.rineng.2024.103743

Amit Kumar Yadav , Vibha Yadav , Ujawal Kumar , Adarsh Ranjan , Talluru Sai Vinil Kumar , Rohit Khargotra , Gusztáv Fekete , Tej Singh

Wind energy production is rapidly expanding worldwide, yet studies on wind energy potential in India remain limited. This study evaluates the wind power potential and conducts an economic cost analysis of wind turbine generator installations at varying hub heights (10m to 150 m) across 21 locations in India, representing a novel contribution to the field. The selected locations include 11 sites in Gujarat (Location-1), 10 sites in Tamil Nadu (Location-2), and one site in Ravangla, Sikkim (Location-3). Cubic factors methods are implemented to estimate Weibull parameters. Results reveal that at 150 m hub height, wind power density ranges from 123.17 to 308.86 W/m² in Gujarat, 80.64 to 427.12 W/m² in Tamil Nadu, and 183.24 W/m² in Sikkim. Kaluneerkulam in Tamil Nadu demonstrates excellent wind category potential, with energy costs ranging from $0.0165 to $0.0076 per kWh, decreasing as hub height increases. Sites across all three locations exhibit moderate to steady wind speeds, making them suitable for wind energy exploitation. An economic analysis of nine wind turbine types shows that Tamil Nadu achieves the lowest energy cost variation, followed by Gujarat and Sikkim. This study provides valuable insights for optimizing wind energy utilization in India.

{"title":"Analysis of wind power generation potential and wind turbine installation economics: A correlation-based approach","authors":"Amit Kumar Yadav , Vibha Yadav , Ujawal Kumar , Adarsh Ranjan , Talluru Sai Vinil Kumar , Rohit Khargotra , Gusztáv Fekete , Tej Singh","doi":"10.1016/j.rineng.2024.103743","DOIUrl":"10.1016/j.rineng.2024.103743","url":null,"abstract":"<div><div>Wind energy production is rapidly expanding worldwide, yet studies on wind energy potential in India remain limited. This study evaluates the wind power potential and conducts an economic cost analysis of wind turbine generator installations at varying hub heights (10m to 150 m) across 21 locations in India, representing a novel contribution to the field. The selected locations include 11 sites in Gujarat (Location-1), 10 sites in Tamil Nadu (Location-2), and one site in Ravangla, Sikkim (Location-3). Cubic factors methods are implemented to estimate Weibull parameters. Results reveal that at 150 m hub height, wind power density ranges from 123.17 to 308.86 W/m² in Gujarat, 80.64 to 427.12 W/m² in Tamil Nadu, and 183.24 W/m² in Sikkim. Kaluneerkulam in Tamil Nadu demonstrates excellent wind category potential, with energy costs ranging from $0.0165 to $0.0076 per kWh, decreasing as hub height increases. Sites across all three locations exhibit moderate to steady wind speeds, making them suitable for wind energy exploitation. An economic analysis of nine wind turbine types shows that Tamil Nadu achieves the lowest energy cost variation, followed by Gujarat and Sikkim. This study provides valuable insights for optimizing wind energy utilization in India.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"25 ","pages":"Article 103743"},"PeriodicalIF":6.0,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167383","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}

引用次数: 0

Enhanced perspectives on silica aerogels: Novel synthesis methods and emerging engineering applications

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2024-12-14 DOI: 10.1016/j.rineng.2024.103615

Ali Akbar Firoozi , Ali Asghar Firoozi , Ahmed A. El-Abbasy , Khaled Aati

Silica aerogels are renowned for their ultralight structure and superior insulative properties, sparking significant interest across a multitude of engineering fields. Developed over a century ago, these materials continue to be pivotal in advancing both academic and industrial applications due to their unparalleled thermal and acoustic insulation properties. This systematic review delves into the latest advancements in silica aerogel technology, particularly focusing on innovative synthesis techniques and novel applications that extend beyond the traditional scopes of use. We critically examine recent breakthroughs that enhance the mechanical strength and production scalability of aerogels, addressing their known limitations such as brittleness and manufacturing complexities. By integrating recent research findings with a comprehensive review of historical advancements, this paper highlights unique contributions to the field, sets forth new avenues for future research, and outlines the growing role of aerogels in sectors like sustainable construction, aerospace, and biomedical engineering.

{"title":"Enhanced perspectives on silica aerogels: Novel synthesis methods and emerging engineering applications","authors":"Ali Akbar Firoozi , Ali Asghar Firoozi , Ahmed A. El-Abbasy , Khaled Aati","doi":"10.1016/j.rineng.2024.103615","DOIUrl":"10.1016/j.rineng.2024.103615","url":null,"abstract":"<div><div>Silica aerogels are renowned for their ultralight structure and superior insulative properties, sparking significant interest across a multitude of engineering fields. Developed over a century ago, these materials continue to be pivotal in advancing both academic and industrial applications due to their unparalleled thermal and acoustic insulation properties. This systematic review delves into the latest advancements in silica aerogel technology, particularly focusing on innovative synthesis techniques and novel applications that extend beyond the traditional scopes of use. We critically examine recent breakthroughs that enhance the mechanical strength and production scalability of aerogels, addressing their known limitations such as brittleness and manufacturing complexities. By integrating recent research findings with a comprehensive review of historical advancements, this paper highlights unique contributions to the field, sets forth new avenues for future research, and outlines the growing role of aerogels in sectors like sustainable construction, aerospace, and biomedical engineering.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"25 ","pages":"Article 103615"},"PeriodicalIF":6.0,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166776","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}

引用次数: 0

Promoting surgical pin performance: Chitosan and hydroxyapatite -based nano-composite coatings for antimicrobial and corrosion protection

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2024-12-13 DOI: 10.1016/j.rineng.2024.103714

Muhammad Shoaib Butt , Romana Afsheen , Hina Saeed , Nauman Javed , Abdul Ghaffar

This study aims to develop and coat a multifunctional composite coating onto the stainless-steel staple pins (SS-316 L) to impart antibacterial and anticorrosive characteristics. The polymeric nanocomposite coating is comprised of chitosan/Zinc oxide-nanohydroxyapatite (Ch/ZnO-nHA). Electrophoretic deposition (EPD) was used to coat the Surgical staple pins (SSPs) with ZnO nanoparticles while nHA was encapsulated in the Ch matrix. Scanning electron microscope (SEM) analysis was performed to evaluate the morphology of the polymeric composite as well as to analyze the uncoated and coated SSPs. FTIR analysis was used to verify the presence of newly added polymeric functional groups. An X-ray Diffraction analysis was carried out to determine the size of crystallites. The electrochemical corrosion test demonstrated that the CS/ZnO-nHA coating significantly increased the corrosion resistance because of the shielding effect of the polymeric coating in the Simulated body fluid solution lowering the Icorr value from (3.160 µA) all the way down to (1.040 µA). In terms of antibacterial inhibition properties, the polymeric composite coating on staple pins showed a promising (1.023 log) reduction against Escherichia coli and (0.986 log) reduction against Staphylococcus aureus in just second dilution. These results confirmed that an increase in the corrosion resistance of the SSP and a reduction in surgical site infections can be achieved using the multifunctional chitosan-based nHA/ZnO nanocomposites for biomedical applications.

{"title":"Promoting surgical pin performance: Chitosan and hydroxyapatite -based nano-composite coatings for antimicrobial and corrosion protection","authors":"Muhammad Shoaib Butt , Romana Afsheen , Hina Saeed , Nauman Javed , Abdul Ghaffar","doi":"10.1016/j.rineng.2024.103714","DOIUrl":"10.1016/j.rineng.2024.103714","url":null,"abstract":"<div><div>This study aims to develop and coat a multifunctional composite coating onto the stainless-steel staple pins (SS-316 L) to impart antibacterial and anticorrosive characteristics. The polymeric nanocomposite coating is comprised of chitosan/Zinc oxide-nanohydroxyapatite (Ch/ZnO-nHA). Electrophoretic deposition (EPD) was used to coat the Surgical staple pins (SSPs) with ZnO nanoparticles while nHA was encapsulated in the Ch matrix. Scanning electron microscope (SEM) analysis was performed to evaluate the morphology of the polymeric composite as well as to analyze the uncoated and coated SSPs. FTIR analysis was used to verify the presence of newly added polymeric functional groups. An X-ray Diffraction analysis was carried out to determine the size of crystallites. The electrochemical corrosion test demonstrated that the CS/ZnO-nHA coating significantly increased the corrosion resistance because of the shielding effect of the polymeric coating in the Simulated body fluid solution lowering the Icorr value from (3.160 µA) all the way down to (1.040 µA). In terms of antibacterial inhibition properties, the polymeric composite coating on staple pins showed a promising (1.023 log) reduction against <em>Escherichia coli</em> and (0.986 log) reduction against <em>Staphylococcus aureus</em> in just second dilution. These results confirmed that an increase in the corrosion resistance of the SSP and a reduction in surgical site infections can be achieved using the multifunctional chitosan-based nHA/ZnO nanocomposites for biomedical applications.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"25 ","pages":"Article 103714"},"PeriodicalIF":6.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167386","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}

引用次数: 0

Ultra-low power Ka-band phase noise optimized LCVCO with enhanced FOM of −197.300 dBc/Hz

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2024-12-13 DOI: 10.1016/j.rineng.2024.103718

N.R. Sivaraaj, Abdul Majeed K.K.

The NMOS cross-coupled LC Voltage-Controlled Oscillator (LCVCO) is considered an indispensable element in modern wireless communication systems. This research explores the design and implementation of a cross-coupled NMOS LCVCO using the UMC 65 nm CMOS process. The primary objective of this work is to achieve low Phase Noise for ka-band frequency applications with less power consumption. This article proposes Thermal and High frequency noise suppressed LCVCO (TH-LCVCO) technique. The TH-LCVCO technique incorporates a parallel capacitive filter to get rid of thermal noise at high frequencies and an LC tail filter to reduce the second-order harmonics. These techniques help to achieve low phase noise in all 16 tuning bands. The proposed TH-LCVCO technique consumes only 3.29 mW of power, achieving a frequency span from 32.17 GHz to 35.55 GHz with a Phase Noise of -112.6 dBc/Hz at 1 MHz and an Figure of Merit (FoM) of -197.300 dBc/Hz.

引用次数: 0

Enhanced remote sensing and deep learning aided water quality detection in the Ganges River, India supporting monitoring of aquatic environments

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2024-12-13 DOI: 10.1016/j.rineng.2024.103604

Lavanya Kandasamy , Anand Mahendran , Sai Harsha Varma Sangaraju , Preksha Mathur , Soham Vijaykumar Faldu , Manuel Mazzara

Water pollution is a pressing global concern, impacting numerous communities across the world. Existing water quality monitoring systems rely on static or periodically collected data, presenting limitations in their ability to provide real-time dynamic insights. This research introduces an innovative approach to address this gap—a dynamic data intake system capable of identifying contamination sources, employing remote sensing techniques to track temporal changes, and issuing timely alerts for safeguarding crucial water resources. The proposed system adopts a hybrid methodology, integrating the QAA-v5 algorithm to derive essential parameters. These parameters serve as input for a pre-trained CatBoost model, which facilitates real-time calculations of chlorophyll-a concentrations at specified geographical coordinates. For future forecasting, the system leverages two distinct models: NBeats and CatBoost Time-Series. Notably, the CatBoost model achieves a commendable regression score of 0.985. For a comprehensive assessment and validation of the system's performance, the research draws upon the dataset provided by the International Ocean-Color Coordinating Group (IOCCG). The innovative framework introduced in this study exhibits considerable promise in advancing water quality protection and monitoring, making a significant contribution to the field of environmental research and management.

{"title":"Enhanced remote sensing and deep learning aided water quality detection in the Ganges River, India supporting monitoring of aquatic environments","authors":"Lavanya Kandasamy , Anand Mahendran , Sai Harsha Varma Sangaraju , Preksha Mathur , Soham Vijaykumar Faldu , Manuel Mazzara","doi":"10.1016/j.rineng.2024.103604","DOIUrl":"10.1016/j.rineng.2024.103604","url":null,"abstract":"<div><div>Water pollution is a pressing global concern, impacting numerous communities across the world. Existing water quality monitoring systems rely on static or periodically collected data, presenting limitations in their ability to provide real-time dynamic insights. This research introduces an innovative approach to address this gap—a dynamic data intake system capable of identifying contamination sources, employing remote sensing techniques to track temporal changes, and issuing timely alerts for safeguarding crucial water resources. The proposed system adopts a hybrid methodology, integrating the QAA-v5 algorithm to derive essential parameters. These parameters serve as input for a pre-trained CatBoost model, which facilitates real-time calculations of chlorophyll-a concentrations at specified geographical coordinates. For future forecasting, the system leverages two distinct models: NBeats and CatBoost Time-Series. Notably, the CatBoost model achieves a commendable regression score of 0.985. For a comprehensive assessment and validation of the system's performance, the research draws upon the dataset provided by the International Ocean-Color Coordinating Group (IOCCG). The innovative framework introduced in this study exhibits considerable promise in advancing water quality protection and monitoring, making a significant contribution to the field of environmental research and management.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"25 ","pages":"Article 103604"},"PeriodicalIF":6.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167430","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}

引用次数: 0

Flow and mixing characteristics of single-pulsed dual parallel plane jets

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2024-12-13 DOI: 10.1016/j.rineng.2024.103741

Y.A. Altaharwah , C.M. Hsu

The flow and mixing characteristics of single-pulsed dual parallel plane jets were experimentally investigated in this study. The smoke flow visualization approach with laser-light sheet assistance was used to analyze the flow evolution processes. The binary boundary edge detection method was used to quantify the jet flow's visual spread. The instantaneous and mean velocities, turbulence intensities, Lagrangian integral time, and length scales were all measured with a hotwire anemometer. The tracer-gas concentration detection approach was utilized to assess the jet fluid's dispersion properties. The lateral distribution of mean velocity vectors and vorticity were assessed using PIV technique. Based on Jets Reynolds number ratio and pulsation intensity two distinct flow modes, the pulsed jet dominating flow and the non-pulsed jet dominating flow could be categorized. The characteristic flow mode at R < 1.0, and I_p < 2.0, is the pulsed jet dominating flow, in which the pulsed jet's vortex drives the non-pulsed jet's vortex. The characteristic flow mode at about 1.0 < R < 2.0, and about I_p < 1.0, is the non-pulsed jet dominating flow, in which the non-pulsed jet's vortex drives the pulsed jet's vortex. The characteristic flow mode reassemble pulsed jet dominating flow at about 1.0 < R < 2.0, and about 1.0 < I_p < 2.0. In the non-pulsed jet dominant flow mode, the overall spread width and concentration reduction index are greater than in the pulsed jet dominant flow mode. With increased pulsation intensity in the pulsed jet dominating flow mode, the spread width, and Lagrangian integral length scale increases, while the Lagrangian integral time scale decrease.

{"title":"Flow and mixing characteristics of single-pulsed dual parallel plane jets","authors":"Y.A. Altaharwah , C.M. Hsu","doi":"10.1016/j.rineng.2024.103741","DOIUrl":"10.1016/j.rineng.2024.103741","url":null,"abstract":"<div><div>The flow and mixing characteristics of single-pulsed dual parallel plane jets were experimentally investigated in this study. The smoke flow visualization approach with laser-light sheet assistance was used to analyze the flow evolution processes. The binary boundary edge detection method was used to quantify the jet flow's visual spread. The instantaneous and mean velocities, turbulence intensities, Lagrangian integral time, and length scales were all measured with a hotwire anemometer. The tracer-gas concentration detection approach was utilized to assess the jet fluid's dispersion properties. The lateral distribution of mean velocity vectors and vorticity were assessed using PIV technique. Based on Jets Reynolds number ratio and pulsation intensity two distinct flow modes, the <em>pulsed jet dominating flow</em> and the <em>non-pulsed jet dominating flow</em> could be categorized. The characteristic flow mode at <em>R</em> < 1.0, and <em>I</em><sub>p</sub> < 2.0, is the <em>pulsed jet dominating flow</em>, in which the pulsed jet's vortex drives the non-pulsed jet's vortex. The characteristic flow mode at about 1.0 < <em>R</em> < 2.0, and about <em>I</em><sub>p</sub> < 1.0, is the non-<em>pulsed jet dominating flow</em>, in which the non-pulsed jet's vortex drives the pulsed jet's vortex. The characteristic flow mode reassemble <em>pulsed jet dominating flow</em> at about 1.0 < <em>R</em> < 2.0, and about 1.0 < <em>I</em><sub>p</sub> < 2.0. In <em>the non-pulsed jet dominant flow</em> mode, the overall spread width and concentration reduction index are greater than in the <em>pulsed jet dominant flow</em> mode. With increased pulsation intensity in the <em>pulsed jet dominating flow</em> mode, the spread width, and Lagrangian integral length scale increases, while the Lagrangian integral time scale decrease.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"25 ","pages":"Article 103741"},"PeriodicalIF":6.0,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167381","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}

引用次数: 0

Aerial assistive payload transportation using quadrotor UAVs with nonsingular fast terminal SMC for human physical interaction

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2024-12-12 DOI: 10.1016/j.rineng.2024.103701

Hussein N. Naser, Hashim A. Hashim, Mojtaba Ahmadi

This paper presents a novel approach to utilizing underactuated quadrotor Unmanned Aerial Vehicles (UAVs) as assistive devices in cooperative payload transportation task through human guidance and physical interaction. The proposed system consists of two underactuated UAVs rigidly connected to the transported payload. This task involves the collaboration between human and UAVs to transport and manipulate a payload. The goal is to reduce the workload of the human and enable seamless interaction between the human operator and the aerial vehicle. An Admittance-Nonsingular Fast Terminal Sliding Mode Control (NFTSMC) is employed to control and asymptotically stabilize the system while performing the task, where forces are applied to the payload by the human operator dictate the aerial vehicle's motion. The stability of the proposed controller is confirmed using Lyapunov analysis. Extensive simulation studies were conducted using MATLAB, Robot Operating System (ROS), and Gazebo to validate robustness and effectiveness of the proposed controller in assisting with payload transportation tasks. Results demonstrate feasibility and potential benefits utilizing quadrotor UAVs as assistive devices for payload transportation through intuitive human-guided control.

{"title":"Aerial assistive payload transportation using quadrotor UAVs with nonsingular fast terminal SMC for human physical interaction","authors":"Hussein N. Naser, Hashim A. Hashim, Mojtaba Ahmadi","doi":"10.1016/j.rineng.2024.103701","DOIUrl":"10.1016/j.rineng.2024.103701","url":null,"abstract":"<div><div>This paper presents a novel approach to utilizing underactuated quadrotor Unmanned Aerial Vehicles (UAVs) as assistive devices in cooperative payload transportation task through human guidance and physical interaction. The proposed system consists of two underactuated UAVs rigidly connected to the transported payload. This task involves the collaboration between human and UAVs to transport and manipulate a payload. The goal is to reduce the workload of the human and enable seamless interaction between the human operator and the aerial vehicle. An Admittance-Nonsingular Fast Terminal Sliding Mode Control (NFTSMC) is employed to control and asymptotically stabilize the system while performing the task, where forces are applied to the payload by the human operator dictate the aerial vehicle's motion. The stability of the proposed controller is confirmed using Lyapunov analysis. Extensive simulation studies were conducted using MATLAB, Robot Operating System (ROS), and Gazebo to validate robustness and effectiveness of the proposed controller in assisting with payload transportation tasks. Results demonstrate feasibility and potential benefits utilizing quadrotor UAVs as assistive devices for payload transportation through intuitive human-guided control.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"25 ","pages":"Article 103701"},"PeriodicalIF":6.0,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166827","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}

引用次数: 0

Computational and experimental studies on the thermal performance of synthesized composite nanofluid in rectangular microchannel heat sink

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2024-12-12 DOI: 10.1016/j.rineng.2024.103687

Ganesh Veeraraghavan , Pushpavanam Subramaniam , Mathur Rajesh

The current work involves the synthesis of novel composite nanofluid (CNF) and the evaluation of their thermal performance as coolant in a rectangular microchannel heat sink (RMCHS). The research work combines numerical simulations and experimental validation. The RMCHS, designed with 18 channels of 400-micron width, facilitates the laminar flow of synthesized CNF, containing Silver (Ag) – Graphene oxide (GO) and multi-walled carbon nanotubes (CNT). In this study, the flow characteristics and thermal performance of the RMCHS were analyzed using Computational Fluid Dynamics (CFD) and compared with the experimental results. The synthesized CNF was evaluated for its stability and morphology, and its thermophysical properties were appraised. The performance of CNF in the removal of heat from the sink was studied and compared with the conventional hybrid nanofluids (HNF), against key parameters such as convective heat transfer coefficient (HTC), the base temperature, and thermal resistance. The findings reveal CNF to be more effective in heat dissipation with a 24 % enhanced HTC when compared to water, as against the 14 % obtained for HNF. The base temperature was reduced by 10 °C with CNF, whereas HNF led to a 4 °C reduction, both compared to water. The thermal resistance, was significantly lower for CNF (0.0101 K/W), by almost 40 % than the HNF (0.0163 K/W). These results highlight the superior heat dissipation potential of the CNF, making it an assuring choice for use in improved microchannel designs to address electronic chip cooling.

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Investigating strain rate effects on elastoplastic fracture using a variable material properties-based peridynamic model

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY

Results in Engineering

Pub Date : 2024-12-12 DOI: 10.1016/j.rineng.2024.103739

Mohammad-Hadi Safari-Naderi , Ahmad Ghasemi-Ghalebahman , Meisam Shakouri

This study addresses a significant limitation in bond-based peridynamic (BB-PD) models, which have traditionally struggled to predict failure in ductile materials. The research introduces a novel approach to enhance the capabilities of BB-PD by incorporating the Variable Material Property (VMP) method, enabling accurate modeling of elastoplastic behavior. By integrating the Johnson–Cook material model, which accounts for strain rate dependency, the proposed Variable Material Properties-Based Peridynamic (VMPB-PD) method effectively characterizes elastoplastic deformations. Numerical results, validated against experimental data from the literature, demonstrate the accuracy of the model, with a maximum prediction error of 8 %. This new method shows strong agreement with experimental findings, providing a significant improvement in simulating fracture behavior under varying loading rates.

引用次数: 0

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