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Effect of specimen profile radius of brass, aluminium and PVC materials on predicted fatigue life

AIP Conference Proceedings 2023年第1期2531卷

作者： Syamsul Hadi Anggit Murdani Sudarmadji Sza Sya Monica Valeria Andhika Erlangga Setiawan Putra Hendri Irwanto Prabowo Khairul Muzaka Department of Mechanical Engineering State Polytechnic of Malang Jl. Soekarno Hatta 9 Malang 65141 Indonesia Department of Mechanical Engineering Ship Manufacture Engineering Study Program State Polytechnic of Banyuwangi Indonesia

The problem lies in the inefficient fatigue test at the larger minimum diameter at the center of the specimen. The purpose of this research is to increase the efficiency of the fatigue test time. The methods used include turning specimens from Brass, Aluminium and Polyvinyl chloride (PVC) with 254 mm radius profile (minimum specimen diameter of 8.6 mm) and 240 mm (minimum specimen diameter of 7.3 mm), fatigue testing, and analysis of the results. The results showed that the difference in the duration of fatigue life between the radius profile of 240 mm and 254 mm was faster for the three materials, for Brass at flexure strength (S) of 182 MPa is 70.9 %, for Aluminium at S of 124 MPa is 5.9%, and for PVC at S of 69 MPa is 8.1 % which means that reducing the rail profile radius of copy lathe tool post for specimen preparation increases time efficiency on the integrated rotating bending fatigue test machine.

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Analysis of Three-Dimensional Anatomical Variance and Fit of the Distal Radius to Current Volar Locking Plate Designs

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Journal of Hand Surgery Global Online 2020年第5期2卷 277-285页

作者： Perrin, Madeline Badre, Armin Suh, Nina Lalone, Emily A. Department of Mechanical and Materials Engineering The University of Western Ontario London Canada Department of Surgery The University of Western Ontario London Canada School of Biomedical Engineering Faculty of Engineering The University of Western Ontario London Canada Roth–McFarlane Hand and Upper Limb Centre St. Joseph's Health Care London ON Canada

Purpose: Distal radius fractures are the most common upper-extremity fracture and are increasingly being treated surgically with precontoured volar locking plates. It is not currently known whether existing implant designs are anatomically accurate and whether this has clinical implications. The objective of this study was to determine whether anatomic alignment of the distal radius corresponds accurately to modern volar locking plate designs, including any sex-linked differences in morphology of the distal radius. It was hypothesized that the 2 plates examined would show differences in watershed line (WSL) overlap and that female specimens would have a larger overlap compared with males owing to a decrease in plate-WSL border distances. Methods: We used 3-dimensional models of 20 cadaver arms (10 female: mean age, 88.7 ± 4.6 years [range, 82–97 years];and 10 male: mean age, 86 ± 3.6 years [range, 81–91 years]) to create 3-dimensional computed tomography models of the distal radius. Virtual models of 2 common volar plates were created and were used to place the plate virtually onto the distal radii. Outcome measures included the volar cortical angle of the bone and plate, the definition of the WSL subsequently followed by quantitative distance and overlap measures, and percent contact between the plate and the distal radius. Results: Both sexes showed an decrease (approximately 7°) in average volar cortical angle measure from medial to lateral columns that was statistically significantly smaller on the lateral column (males: 38°;females: 29°) compared with the medial column (males: 45°;females: 36°). Watershed line overlap ranged from 0% to 34.8% with statistically significant differences between sexes. Average border distance for females was 2.7 mm, compared with 3.8 mm for males. Maximum percent contact of 22.0% was observed at a 0.3-mm threshold. Conclusions: Distal radius fractures are common in elderly female patients, yet clinically available plates have impor

关键词： Distal radius Percent contact Volar cortical angle Volar locking plate Watershed line

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Automatic Plant Disease Classification and Agriculture Monitoring Robot

SSRN

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SSRN 2024年

作者： Raza, Ali Saeed, Zubair Johar, Ahmed Husnain Asgher, Umer Ayaz, Yasar Nazir, Salman Li, Yunwang Yang, Kehu Socha, Vladimir Department of Computer Engineering University of Engineering and Technology Taxila47080 Pakistan H-12 Islamabad44000 Pakistan H-12 Islamabad44000 Pakistan Horska 2040/3 Prague12800 Czech Republic H-12 Islamabad44000 Pakistan Faculty of Technology Natural Sciences and Maritime Sciences University of South-Eastern Norway Horten Norway Nord University Business School Nord University BodÃ Norway School of Mechanical Electronic and Information Engineering China University of Mining and Technology-Beijing Beijing100083 China Key Laboratory of Intelligent Mining and Robotics Ministry of Emergency Management China Department of Information and Communication Technology in Medicine Faculty of Biomedical Engineering Czech Technical University in Prague Studnickova 7/2028 Prague128 00 Czech Republic

Agriculture is a critical sector for economic development in countries like Pakistan, where the Gross Domestic Product (GDP) is largely dependent on it. However, traditional methods used by farmers to detect plant diseases, such as visual inspection, are inaccurate and lead to low productivity. In this study, we present an autonomous Unmanned Ground Vehicle (UGV) that can detect and classify diseases in plants, as well as monitor environmental factors such as humidity, air pressure, light intensity, and rain using Internet of Things (IoT) techniques on the ThingSpeak platform. Our robot system is equipped with sensors and can move through the potato field to send sensory data in real-time to a Graphical User Interface (GUI). In addition, we remotely monitor the field using a cellphone camera. By combining robotics, IoT, and deep learning, we achieved an accuracy of 98.88\% in the detection and classification of potato leaf diseases, surpassing the accuracy reported in previous literature. Our system provides a means to improve agricultural productivity in Pakistan by enabling accurate and timely disease detection and monitoring of environmental factors. © 2024, The Authors. All rights reserved.

关键词： Agricultural robots

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A self-powered multifunctional dressing for active infection prevention and accelerated wound healing

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Science Advances 2023年第4期9卷 eadc8758页

作者： Barman, Snigdha Roy Chan, Shuen-Wen Kao, Fu-Cheng Ho, Hsuan-Yu Khan, Imran Pal, Arnab Huang, Chih-Ching Lin, Zong-Hong Institute of Biomedical Engineering National Tsing Hua University Hsinchu30013 Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu30013 Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu30013 Taiwan Department of Orthopaedic Surgery Spine Section Chang Gung Memorial Hospital Taoyuan33305 Taiwan College of Medicine Chang Gung University Taoyuan33302 Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu30013 Taiwan Institute of NanoEngineering and Microsystems National Tsing Hua University Hsinchu30013 Taiwan Department of Bioscience and Biotechnology National Taiwan Ocean University Keelung202301 Taiwan Center of Excellence for the Oceans National Taiwan Ocean University Keelung202301 Taiwan School of Pharmacy College of Pharmacy Kaohsiung Medical University Kaohsiung80708 Taiwan Department of Chemistry National Tsing Hua University Hsinchu30013 Taiwan Frontier Research Center on Fundamental and Applied Sciences of Matters National Tsing Hua University Hsinchu30013 Taiwan Department of Biomedical Engineering National Taiwan University Taipei10617 Taiwan

Interruption of the wound healing process due to pathogenic infection remains a major health care challenge. The existing methods for wound management require power sources that hinder their utilization outside of clinical settings. Here, a next generation of wearable self-powered wound dressing is developed, which can be activated by diverse stimuli from the patient’s body and provide on-demand treatment for both normal and infected wounds. The highly tunable dressing is composed of thermocatalytic bismuth telluride nanoplates (Bi2Te3 NPs) functionalized onto carbon fiber fabric electrodes and triggered by the surrounding temperature difference to controllably generate hydrogen peroxide to effectively inhibit bacterial growth at the wound site. The integrated electrodes are connected to a wearable triboelectric nanogenerator (TENG) to provide electrical stimulation for accelerated wound closure by enhancing cellular proliferation, migration, and angiogenesis. The reported self-powered dressing holds great potential in facilitating personalized and user-friendly wound care with improved healing outcomes. Copyright © 2023 The Authors, some rights reserved.

关键词： Patient treatment

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The effect of twist drill angle and spindle speed on surface roughness in S45C steel drilling process 3

The effect of twist drill angle and spindle speed on surface...

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3rd International Conference on Vocational Education of mechanical and Automotive Technology, ICoVEMAT 2020

作者： Saputro, R.D.A. Sukardi, T. Wibowo, Y.E. Hardiyanta, R.A.P. Graduate Program of Technology and Vocational Education Universitas Negeri Yogyakarta Yogyakarta Indonesia Department Mechanical Engineering Education Universitas Negeri Yogyakarta Indonesia

The purpose of this research is to determine the effect of twist drill angle variations and spindle rotational speed on the surface roughness of S45C steel in the drilling process. The method used in this research is the experimental method. The independent variables used in this study are variations in twist drill angle (118°, 122°, 125°) and spindle rotational speed variations (1036 rpm, 1340 rpm, 1630 rpm). The dependent variable used is the result of surface roughness in S45C steel. While the control variable used is a feed rate of 0.18 mm/round. The results showed the highest surface roughness was obtained at 125° twist drill angle variation and spindle rotational speed of 1630 rpm with a roughness value of 8.590 μm, while the lowest surface roughness value was obtained at 118° twist drill angle variation and spindle rotational speed of 1036 rpm with a roughness value of 2.898 μm. This research can be developed to find standards from other aspects that affect the results of the drilling process. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Surface roughness

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The effect of curing and leaves cutting in longterm storage of shallot 3

The effect of curing and leaves cutting in longterm storage ...

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3rd International Conference on Agricultural engineering for Sustainable Agriculture Production, AESAP 2019

作者： Kusmali, M. Ahmad, U. Darmawati, E. Postharvest Technology Study Program Graduate School Ipb University Bogor Indonesia Mechanical and Biosystem Engineering Department Ipb University Bogor Indonesia

Shallot is important as one of the spices for cooking various foods, as raw materials for the food industry, and as one of the ingredients for Indonesian traditional herbs. Postharvest handling is needed to extend its shelf life and to maintain its quality during storage. The aims of this research are: 1) to evaluate the effect of curing and leaves cutting on the quality changes of shallots during storage, and 2) to get the best pre-storage procedure in maintaining the quality of shallots during storage. Shallots leaves were cut before drying while the others are stored with leaves as control. Then, half of the samples were cured for three days, and sundried for four days, while other samples were sundried directly for seven days without curing them first. Then samples were stored for 16 weeks in two different conditions. The results showed that the treatment of curing without leaves cutting and stored at 5°C with 65-70% RH gave the best quality than other treatments. It could minimize damage and weight loss, maintaining hardness, color, and important ingredients until 12 weeks of storage. However, there were drastic decreases in some quality parameters, 32.0% damage and 38.7% weight loss after 16 weeks of storage. © Published under licence by IOP Publishing Ltd.

关键词： Curing

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Model-based estimation of Frank-Starling curves at the patient bedside

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IFAC-PapersOnLine 2021年第15期54卷 287-292页

作者： Rachel Smith J. Geoffrey Chase Christopher G. Pretty Shaun Davidson Geoffrey M. Shaw Thomas Desaive Department of Mechanical Engineering University of Canterbury New Zealand Institute of Biomedical Engineering University of Oxford United Kingdom Christchurch Hospital Intensive Care Unit New Zealand IGA Cardiovascular Science University of Liège Liège Belgium

Determining physiological mechanisms contributing to circulatory failure can be challenging, contributing to the difficulties of delivering effective hemodynamic management in critical care. Measured or estimated Frank-Starling curves could potentially make it much easier to assess patient response to interventions, and thus to manage circulatory failure. This study combines non-additionally invasive model-based methods to estimate left ventricle end-diastolic volume (LEDV) and stroke volume (SV) during hemodynamic interventions in a pig trial. Frank-Starling curves are created using these metrics and Frank-Starling contractility (FSC) is identified as the gradient. Bland-Altman median bias [limits of agreement (2.5th, 97.5th percentile)] are 0.14[-0.56, 0.57] for model-based FSC agreement with measured reference method FSC using admittance catheter LEDV and aortic flow probe SV. This study provides proof-of-concept Frank-Starling curves could be non-additionally invasively estimated clinically for critically ill patients to provide clearer insight into cardiovascular function than is currently possible.

关键词： Frank-Starling curves Hemodynamic monitoring Intensive care unit Preload End-diastolic volume Stroke volume

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Deep learning-augmented T-junction droplet generation

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iScience 2024年第4期27卷 109326页

作者： Ahmadpour, Abdollah Shojaeian, Mostafa Tasoglu, Savas Mechanical Engineering Department School of Engineering Koç University Istanbul 34450 Turkey Koç University Arçelik Research Center for Creative Industries (KUAR) Koç University Istanbul 34450 Turkey Koç University Is Bank Artificial Intelligence Lab (KUIS AILab) Koç University Sariyer Istanbul 34450 Turkey Koç University Translational Medicine Research Center (KUTTAM) Koç University Istanbul 34450 Turkey Boğaziçi Institute of Biomedical Engineering Boğaziçi University Istanbul 34684 Turkey

Droplet generation technology has become increasingly important in a wide range of applications, including biotechnology and chemical synthesis. T-junction channels are commonly used for droplet generation due to their integration capability of a larger number of droplet generators in a compact space. In this study, a finite element analysis (FEA) approach is employed to simulate droplet production and its dynamic regimes in a T-junction configuration and collect data for post-processing analysis. Next, image analysis was performed to calculate the droplet length and determine the droplet generation regime. Furthermore, machine learning (ML) and deep learning (DL) algorithms were applied to estimate outputs through examination of input parameters within the simulation range. At the end, a graphical user interface (GUI) was developed for estimation of the droplet characteristics based on inputs, enabling the users to preselect their designs with comparable microfluidic configurations within the studied range. © 2024 The Author(s)

关键词： Computer science Fluidics Physics

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Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization

arXiv

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arXiv 2025年

作者： Hamrani, Abderrachid Leizaola, Daniela Sousa, Renato Ponce, Jose P. Mathis, Stanley Armstrong, David G. Godavarty, Anuradha Department of Mechanical and Materials Engineering Florida International University MiamiFL33174 United States Optical Imaging Laboratory Department of Biomedical Engineering Florida International University MiamiFL33174 United States White Memorial Medical Group Los AngelesCA90033 United States White Memorial Medical Group Los AngelesCA90033 United States Clemente Clinical Research Los AngelesCA90033 United States Southwestern Academic Limb Salvage Alliance Department of Surgery Keck School of Medicine of University of Southern California Los AngelesCA90033 United States

Diabetic foot ulcers (DFUs) pose a significant challenge in healthcare, requiring precise and efficient wound assessment to enhance patient outcomes. This study introduces the Attention Diffusion Zero-shot Unsupervised System (ADZUS), a novel text-guided diffusion model that performs wound segmentation without relying on labeled training data. Unlike conventional deep learning models, which require extensive annotation, ADZUS leverages zero-shot learning to dynamically adapt segmentation based on descriptive prompts, offering enhanced flexibility and adaptability in clinical applications. Experimental evaluations demonstrate that ADZUS surpasses traditional and state-of-the-art segmentation models, achieving an IoU of 86.68% and the highest precision of 94.69% on the chronic wound dataset, outperforming supervised approaches such as FUSegNet. Further validation on a custom-curated DFU dataset reinforces its robustness, with ADZUS achieving a median DSC of 75%, significantly surpassing FUSegNet’s 45%. The model’s text-guided segmentation capability enables real-time customization of segmentation outputs, allowing targeted analysis of wound characteristics based on clinical descriptions. Despite its competitive performance, the computational cost of diffusion-based inference and the need for potential fine-tuning remain areas for future improvement. ADZUS represents a transformative step in wound segmentation, providing a scalable, efficient, and adaptable AI-driven solution for medical imaging. Copyright © 2025, The Authors. All rights reserved.

关键词： Image segmentation

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Rosen–Zener transition in a nonlinear nonreciprocal two-level system

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Results in Physics 2024年 64卷

作者： Liu, Keyan Zhang, Han Cheng, Haiyu Dai, Ting Zhao, Yejia Su, Jin College of Mechanical and Electrical Engineering Jiaxing Nanhu University Yuexiu South Road 572 Zhejiang Jiaxing 314001 China Jiaxing Key Laboratory of Intelligent Manufacturing and Operation & Maintenance of Automotive Parts Zhonghuan South Road Xinxing Sub-district Nanhu District Zhejiang Jiaxing 314001 China Department of Biomedical Engineering Changzhi Medical College Jiefang East Street 161 Shanxi Changzhi 046000 China

The dynamics of the Rosen–Zener transition (RZT) in interacting two-level systems within nonreciprocal systems is examined, where nonreciprocity stems from asymmetric couplings between energy levels. For the linear case, an analytical expression for the RZT probability is derived. In the nonlinear scenario, numerical experiments are utilized to investigate the impact of various initial states and scanning periods on transition probabilities under adiabatic conditions. Additionally, an equivalent classical Hamiltonian is formulated to elucidate the origin of transition asymmetry under different initial state conditions. The influence of energy level detuning on the RZT is explored, leading to the suggestion of new applications for studying parameters of two-level systems related to nonlinearity and nonreciprocity. This opens avenues for potential Rosen–Zener–Stückelberg interferometry implementations. © 2024 The Author(s)

关键词： Nonlinearity Nonreciprocal systems Rosen–Zener transition Two-level system

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