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Development of flexible capacitive sensor for three-dimensional force measurement

AIP Conference Proceedings 2022年第1期2670卷

作者： E Jim Steeves P. Anantha Christu Raj P. Rajalakshmy R. Jegan C. Bazil Wilfred P. Ramesh Kumar 1Department of Robotics Engineering Karunya Institute of Technology and Sciences Coimbatore Tamil Nadu 641114 India 2Department of Biomedical Engineering Karunya Institute of Technology and Sciences Coimbatore Tamil Nadu 641114 India 3Department of Mathematics Karunya Institute of Technology and Sciences Coimbatore Tamil Nadu 641114 India 4Department of Agriculture Karunya Institute of Technology and Sciences Coimbatore Tamil Nadu 641114 India

This paper presents the development of flexible capacitive sensor for measuring three dimensional forces to monitor and early detection of pressure ulcers. The wide range of capacitive sensors can be used for many industrial applications which include the measurement of applied pressure and force. The accurate measurement of pressure becomes essential key parameters to analyses the behavior of sensor based biomedical measurement system for different applications. In most situations, people with severe motor impairments have very low sensitivity in parts of the body that come into contact with supporting surfaces such as beds and wheel chairs. As a result of the pressure surpassing the tissue for an extended period of time, tissues are deprived of oxygen and necessary nutrient which leads to the development of pressure ulcers. Monitoring three-axis force that people with severe motor impairments exert on supporting surfaces is one technique to reduce the risk of pressure ulcer formation. This paper proposed the novel design of capacitive sensor to monitor three axis forces in all dimensions. Here, a custom developed sensor with capacitance to digital converter is used to convert the sensor's capacitance to a digital value. The proposed converter can be used to measure the capacitance in the range of 0 to 260pF and stored in device memory for easy access and processing. The low power ARM Cortex M3 processor with serial communication protocol is configured in embedded programming environment to acquire the signal from the proposed sensor and the capacitance variation is displayed on the OLED.

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Computational study on the dynamics of drop generation under different ambient conditions

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AIP Conference Proceedings 2021年第1期2341卷

作者： Pardeep Bishnoi Mayank Srivastava Abhijeet Singh Mukesh Kumar Sahu M. K. Sinha 1Department of Mechanical Engineering Chandigarh Engineering College Mohali India 4Department of Mechanical Engineering National Institute of Technology Jamshedpur India 2Department of Mechanical and Automation Engineering AMITY University Jharkhand Ranchi India 3Department of Mechanical Engineering Cambridge Institute of Technology Ranchi India

This research paper explains the generation and evolution of a Newtonian fluid droplet through the computational simulation. The volume of fluid method is adopted to capture the dynamic mechanism of the droplet. The results show how the physical properties of the continuous phase affect the drop formation, breakup length and volume of droplet. The pressure variation at the detachment stages is also examined. Also, studies the difference in the vorticity distribution around the droplet generated in two different phase conditions.

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Position tracking for continuum robots with joint limit constraints

Position tracking for continuum robots with joint limit cons...

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2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence, ICUSAI 2019

作者： Lin, Dengliang Dong, Xin Yang, Chenguang Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and Engineering South China University of Technology Guangzhou China Nottingham University Department of Mechanical Materials and Manufacturing Engineering NottinghamNG7 2RD United Kingdom Bristol Robotics Laboratory University of the West of England BristolBS16 1QY United Kingdom

ISBN: (纸本)9781728158594

This paper presents a novel tip-following approach for real-time position tracking and avoiding obstacle of continuum robots with joint limit constraints. This type of hyper-redundant robot, which is more flexible and compliant to explore in complex and constrained environments, such as in pipeline or narrow entrance. However, tradictional method based on inverse kinematic model is difficult to control the end-effector of continuum robot to avoid abstcales in the constrained circumstance. Therefore a new tip-following method based on forward kinematic model is proposed to control the robot and make it inspect the environment. For the method, we use nonliner progamming approach to solve the optimization problem, which is used to find minimum of constrained nonlinear objective function to ensure that the end-effector of the robot follow the desired position with minimal error. In this paper, we employ a 24 DoF continuum robot with continuous backbone and compliant joint to the simulation, and it is testified that the proposed approch can ensure joint limit avoidance, track the end postion in real time and minimize the tracking errors. © 2019 IEEE.

关键词： End effectors

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Optimal process parameter selection for pressure die casting of clutch hub using desirability approach

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AIP Conference Proceedings 2021年第1期2395卷

作者： G. Mahendran M. A. Sai Balaji D. Dinakaran A. Eakambaram 1Department of Mechanical Engineering B S Abdur Rahman Crescent Institute of Science and Technology Chennai India 2Centre for Automation and Robotics Hindustan Institute of Technology and Science Chennai India 3Department of Automobile Engineering Arunai Engineering College Thiruvannaamalai Tamil Nadu India

Clutch hub is a vital component connected between pressure plate and clutch basket and requires better mechanical properties. In the clutch hub casting, porosity, blow holes, hardness and compression strength are the main factors that affect the quality. A Taguchi based desirability approach is presented in this paper to find the optimal process parameters fordie casting of ADC 12 aluminium alloy. The effect of the Ls Velocity, Hs Velocity, Intensification Velocity, Intensification Pressure, Hs Change Position, Accumulator Pressure, Metal Temperature and Fixed Die Temperature were investigated using the L18 orthogonal array. The desirability functions were calculated for the individual parameters and also the overall process. The overall desirability helps in finding the effective casting parameters which results in reduced porosity, blow holesand increased hardness and compression strength. The results showed that the selected parameters reduce the porosity, blow holes and improves the mechanical properties.

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Roadmap on soft robotics: multifunctionality, adaptability and growth without borders

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Multifunctional Materials 2022年第3期5卷 032001-032001页

作者： Mazzolai, Barbara Mondini, Alessio Del Dottore, Emanuela Margheri, Laura Carpi, Federico Suzumori, Koichi Cianchetti, Matteo Speck, Thomas Smoukov, Stoyan K. Burgert, Ingo Keplinger, Tobias Siqueira, Gilberto De Freitas Vanneste, Felix Goury, Olivier Duriez, Christian Nanayakkara, Thrishantha Vanderborght, Bram Brancart, Joost Terryn, Seppe Rich, Steven I. Liu, Ruiyuan Fukuda, Kenjiro Someya, Takao Calisti, Marcello Laschi, Cecilia Sun, Wenguang Wang, Gang Wen, Li Baines, Robert Patiballa, Sree Kalyan Kramer-Bottiglio, Rebecca Rus, Daniela Fischer, Peer Simmel, Friedrich C Lendlein, Andreas Bioinspired Soft Robotics Laboratory Istituto Italiano di Tecnologia Italy Department of Industrial Engineering University of Florence Via di S. Marta 3 Florence50139 Italy Department of Mechanical Engineering Tokyo Institute of Technology Ookayama Meguro Tokyo152-8550 Japan The BioRobotics Institute Scuola Superiore Sant’Anna Pisa56025 Italy Department of Excellence in Robotics & AI Scuola Superiore Sant’Anna Pisa56025 Italy Plant Biomechanics Group & Botanic Garden and Cluster of Excellence livMatS @ FIT University of Freiburg Germany Active and Intelligent Materials Laboratory Queen Mary University of London LondonE1 4NS United Kingdom Wood Materials Science Institute for Building Materials ETH Zurich Zurich8093 Switzerland Cellulose and Wood Materials Laboratory Empa Swiss Federal Laboratories for Materials Science and Technology Dübendorf8600 Switzerland University of Lille Inria CNRS Centrale Lille UMR 9189 CRIStAL LilleF-59000 France Dyson School of Design Engineering Imperial College London United Kingdom Vrije Universiteit Brussel and imec Brussels Belgium Thin-Film Device Laboratory RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Center for Emergent Matter Science RIKEN 2-1 Hirosawa Saitama Wako351-0198 Japan Electrical and Electronic Engineering and Information Systems The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan The BioRobotics Institute Scuola Superiore Sant’Anna Italy Lincoln Institute for Agri-food Technology University of Lincoln Lincoln United Kingdom Department of Mechanical Engineering National University of Singapore Singapore School of Mechanical Engineering and Automation Beihang University Beijing100191 China Department of Mechanical Engineering and Materials Science Yale University New HavenCT06511 United States CSAIL MIT Schwarzman College of Computing United States Max Planck Institute for Intelligent Systems Heisenbergstr. 3 Stuttgart70569 Germany Institute of Physical Chemistry

Soft robotics aims at creating systems with improved performance of movement and adaptability in unknown, challenging, environments and with higher level of safety during interactions with humans. This Roadmap on Soft robotics covers selected aspects for the design of soft robots significantly linked to the area of multifunctional materials, as these are considered a fundamental component in the design of soft robots for an improvement of their peculiar abilities, such as morphing, adaptivity and growth. The roadmap includes different approaches for components and systems design, bioinspired materials, methodologies for building soft robots, strategies for the implementation and control of their functionalities and behavior, and examples of soft-bodied systems showing abilities across different environments. For each covered topic, the author(s) describe the current status and research directions, current and future challenges, and perspective advances in science and technology to meet the challenges. © 2022 The Author(s). Published by IOP Publishing Ltd.

关键词： Machine design

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A comparative study on fracture parameters of friction stir welded AA5083 using NCORR

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AIP Conference Proceedings 2021年第1期2341卷

作者： Abhijeet Singh Pravin Kumar Singh Rajiv Ranjan Kumar Pardeep Bishnoi Shalendra Kumar Hira Lal Yadav 1Mechanical and Automation Engineering AMITY University Jharkhand Ranchi India 2Department of Mechanical Engineering Maryland institute of technology and management Jharkhand India 3Department of Mechanical Engineering Chandigarh Engineering College Mohali Punjab India 4Department of Mechanical Engineering National Institute of Technology Jamshedpur Jharkhand India 5Department of Physics National Institute of Technology Jamshedpur Jharkhand India

Friction stir welding has been constantly used to join both similar and dissimilar aluminum alloy. Since aluminum has a vast application in almost every sector, it becomes very important to study the change in the mechanical and fracture parameters of the alloy before it is being employed into making a part. The current article deals with the comparison of the fracture parameters for the base plate and friction stir welded AA5083 using Digital Image Correlation. An open source 2D MATLAB program ‘NCORR’ has been used to determine the crack mouth opening displacement and the crack tip opening displacement when the specimen cut from the welded plate and base plate is subjected to three-point bend at different loads. The results obtained gives a very clear indication that the welded portion can withstand a bit of higher load before fracture as compared to the base plate.

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REFUGE2 CHALLENGE: A TREASURE TROVE FOR MULTI-DIMENSION ANALYSIS AND EVALUATION IN GLAUCOMA SCREENING

arXiv

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arXiv 2022年

作者： Fang, Huihui Li, Fei Wu, Junde Fu, Huazhu Sun, Xu Son, Jaemin Yu, Shuang Zhang, Menglu Yuan, Chenglang Bian, Cheng Lei, Baiying Zhao, Benjian Xu, Xinxing Li, Shaohua Fumero, Francisco Sigut, José Almubarak, Haidar Bazi, Yakoub Guo, Yuanhao Zhou, Yating Baid, Ujjwal Innani, Shubham Guo, Tianjiao Yang, Jie Orlando, José Ignacio Bogunović, Hrvoje Zhang, Xiulan Xu, Yanwu The REFUGE2 Challenge Australia State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat-Sen University Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science Guangzhou China Intelligent Healthcare Unit Baidu Inc. Beijing China The Institute of High Performance Computing Agency for Science Technology and Research Singapore Yatiris Group PLADEMA Institute CONICET UNICEN Tandil Argentina Christian Doppler Lab for Artificial Intelligence in Retina Department of Ophthalmology and Optometry Medical University of Vienna Vienna Austria VUNO Inc Seoul Korea Republic of Tencent HealthCare Tencent Shenzhen China Computer Vision Institute College of Computer Science and Software Engineering of Shenzhen University Shenzhen China School of Biomedical Engineering Health Science Center Shenzhen University China Xiaohe Healthcare ByteDance Guangdong Guangzhou510000 China School of Biomedical Engineering Shenzhen University China College of Computer Science & Software Engineering Shenzhen University China Department of Computer Science and Systems Engineering Universidad de La Laguna Spain Saudi Electronic University Saudi Arabia King Saud University Saudi Arabia Institute of Automation Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China SGGS Institute of Engineering and Technology India Institute of Medical Robotics Shanghai Jiao Tong University China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China

With the rapid development of artificial intelligence (AI) in medical image processing, deep learning in color fundus photography (CFP) analysis is also evolving. Although there are some open-source, labeled datasets of CFPs in the ophthalmology community, large-scale datasets for screening only have labels of disease categories, and datasets with annotations of fundus structures are usually small in size. In addition, labeling standards are not uniform across datasets, and there is no clear information on the acquisition device. Here we release a multi-annotation, multi-quality, and multi-device color fundus image dataset for glaucoma analysis on an original challenge-Retinal Fundus Glaucoma Challenge 2nd Edition (REFUGE2). The REFUGE2 dataset contains 2000 color fundus images with annotations of glaucoma classification, optic disc/cup segmentation, as well as fovea localization. Meanwhile, the REFUGE2 challenge sets three sub-tasks of automatic glaucoma diagnosis and fundus structure analysis and provides an online evaluation framework. Based on the characteristics of multi-device and multi-quality data, some methods with strong generalizations are provided in the challenge to make the predictions more robust. This shows that REFUGE2 brings attention to the characteristics of real-world multi-domain data, bridging the gap between scientific research and clinical application. © 2022, CC BY-NC-ND.

关键词： Color

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Validity of Nikiforov-Uvarove method for relativistic energy of Dirac equations with central potential

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AIP Conference Proceedings 2022年第1期2454卷

作者： Bhishma Karki Saddam Husain Dhobi Mohammed Alzuhairi Digvijay Pandey 1Department of Physics Tri-Chandra Multiple Campus Tribhuvan University Kathmandu-44600 Nepal 2Department of Physics Patan Multiple Campus Tribhuvan University Lalitpur-44700 Nepal 3Robotics Academy of Nepal Lalitpur-44700 Nepal 4Innovative Ghar Nepal Lalitpur-44700 Nepal 5Department of Material Engineering University of Technology Baghdad-10011 Iraq 6Department of Technical Education IET Dr. A.P.J Abdul Kalam Technical University Lucknow U.P India

The different methods are used to calculate the energy eigenvalue of the Dirac equation and limit the energy between 0<E<1 for the relativistic case. The Authors use the Nikiforov-Uvarove method to calculate ene...

The different methods are used to calculate the energy eigenvalue of the Dirac equation and limit the energy between 0

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CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

arXiv

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arXiv 2022年

作者： Nwoye, Chinedu Innocent Alapatt, Deepak Yu, Tong Vardazaryan, Armine Xia, Fangfang Zhao, Zixuan Xia, Tong Jia, Fucang Yang, Yuxuan Wang, Hao Yu, Derong Zheng, Guoyan Duan, Xiaotian Getty, Neil Sanchez-Matilla, Ricardo Robu, Maria Zhang, Li Chen, Huabin Wang, Jiacheng Wang, Liansheng Zhang, Bokai Gerats, Beerend Raviteja, Sista Sathish, Rachana Tao, Rong Kondo, Satoshi Pang, Winnie Ren, Hongliang Abbing, Julian Ronald Sarhan, Mohammad Hasan Bodenstedt, Sebastian Bhasker, Nithya Oliveira, Bruno Torres, Helena R. Ling, Li Gaida, Finn Czempiel, Tobias Vilaça, João L. Morais, Pedro Fonseca, Jaime Egging, Ruby Mae Wijma, Inge Nicole Qian, Chen Bian, Guibin Li, Zhen Balasubramanian, Velmurugan Sheet, Debdoot Luengo, Imanol Zhu, Yuanbo Ding, Shuai Aschenbrenner, Jakob-Anton van der Kar, Nicolas Elini Xu, Mengya Islam, Mobarakol Seenivasan, Lalithkumar Jenke, Alexander Stoyanov, Danail Mutter, Didier Mascagni, Pietro Seeliger, Barbara Gonzalez, Cristians Padoy, Nicolas ICube University of Strasbourg CNRS France IHU Strasbourg France Department of Computer Science University of Chicago United States Lab for Medical Imaging and Digital Surgery Shenzhen Institute of Advanced Technology Chinese Academy of Sciences China School of Management Hefei University of Technology Hefei China Institue of Medical Robotics Shanghai Jiao Tong University Shanghai China Argonne National Laboratory 9700 S Cass Ave LemontIL60439 United States Digital Surgery A Medtronic Company London United Kingdom Institute of Automation Chinese Academy of Sciences China Department of Computer Science School of Informatics Xiamen University Xiamen China Johnson & Johnson Meander Medical Centre Netherlands Indian Institute of Technology Kharagpur India Muroran Institute of Technology Japan Department of Biomedical Engineering National University of Singapore Singapore Department for Translational Surgical Oncology National Center for Tumor Diseases Partner Site Dresden Germany 2Ai School of Technology IPCA Barcelos Portugal School of Medicine University of Minho Braga Portugal Algoritimi Center School of Engineering University of Minho Guimeraes Portugal Technical University of Munich Germany Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong Wellcome EPSRC Center for Interventional and Surgical Science University College London United Kingdom Fondazione Policlinico Universitario Agostino Gemelli IRCCS Rome Italy University Hospital of Strasbourg France

Context-aware decision support in the operating room can foster surgical safety and efficiency by leveraging real-time feedback from surgical workflow analysis. Most existing works recognize surgical activities at a coarse-grained level, such as phases, steps or events, leaving out fine-grained interaction details about the surgical activity;yet those are needed for more helpful AI assistance in the operating room. Recognizing surgical actions as triplets of combination delivers comprehensive details about the activities taking place in surgical videos. This paper presents CholecTriplet2021: an endoscopic vision challenge organized at MICCAI 2021 for the recognition of surgical action triplets in laparoscopic videos. The challenge granted private access to the large-scale CholecT50 dataset, which is annotated with action triplet information. In this paper, we present the challenge setup and assessment of the state-of-the-art deep learning methods proposed by the participants during the challenge. A total of 4 baseline methods from the challenge organizers and 19 new deep learning algorithms by competing teams are presented to recognize surgical action triplets directly from surgical videos, achieving mean average precision (mAP) ranging from 4.2% to 38.1%. This study also analyzes the significance of the results obtained by the presented approaches, performs a thorough methodological comparison between them, in-depth result analysis, and proposes a novel ensemble method for enhanced recognition. Our analysis shows that surgical workflow analysis is not yet solved, and also highlights interesting directions for future research on fine-grained surgical activity recognition which is of utmost importance for the development of AI in surgery. © 2022, CC BY-NC-SA.

关键词： Deep learning

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Effect of channel shapes on fluid flow and heat transfer in microchannel - A numerical study

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AIP Conference Proceedings 2020年第1期2283卷

作者： R. Avinash Kumar M. Kavitha P. Manoj Kumar S. Sriman Adhithya 1Department of Mechanical Engineering PSG Institute of Technology and Applied Research Tamilnadu India 2Department of Metallurgical Engineering PSG College of Technology Tamilnadu India 3Titan Engineering & Automation Solutions Tamilnadu India.

Increase in applications of micro devices in MEMS and NEMS, demands efficient cooling systems. Due to miniaturization, the conventional cooling systems fail to satisfy the required cooling performance. Therefore design and analyses of optimized cooling system for different micro devices are required for its better performance. The present work investigates the conjugate heat transfer analysis in selected configurations of microchannels (rectangular, circular and trapezoidal with two configurations) with water as coolant. Three dimensional numerical simulations were performed using commercially available package ANSYS FLUENT 18.1. This work proposes a way to analyse the conjugate heat transfer properties in different microchannels cross sections. The steady state three-dimensional numerical simulations were carried out for single phase forced convection laminar flow. The present analyses focus on comparative study of heat transfer characteristics in different shape of the channels. The dimensions of microchannels were chosen by considering hydraulic diameter as constant in different geometrical shapes. The inlet velocities were varied as 1m/s, 1.5m/s, 2m/s, 2.25m/s, 2.5m/s and parameters such as Nusselt number, pressure drop and outlet temperature at constant heat input were determined and compared. It is revealed that geometrical shapes of microchannels have significant effects in the heat transfer characteristics.

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