Ultrasonic-assisted micro-electro-discharge machining (μEDM) has the potential to enhance processing responses such as material removal rate (MRR) and surface finish. To understand the reasons for this enhancement, the physical mechanisms responsible for the individual discharges and the craters that they form need to be explored. This work examines features of craters formed by single discharges at various parameter values in both conventional and ultrasonic-assisted μEDM of Ti6Al4V. High-speed imaging of the plasma channel is performed, and data on the individual discharges are captured in real-time. A 2D axisymmetric model using finite element software is established to model crater formation. On the basis of simulation and experimental results, a comparative study is then carried out to examine the effects of ultrasonic vibrational assistance on crater geometry. For every set of μEDM parameters, the crater diameter and depth from a single discharge are found to be higher in ultrasonic-assisted μEDM than in conventional μEDM. The improved crater geometry and the reduced bulge formation at the crater edges are attributed to the increased melt pool velocity and temperature predicted by the model.
{"title":"Comparative analysis of single-crater parameters in ultrasonic-assisted and unassisted micro-EDM of Ti6Al4V using discharge plasma imaging","authors":"S. Raza, C. Nirala","doi":"10.1063/10.0023965","DOIUrl":"https://doi.org/10.1063/10.0023965","url":null,"abstract":"Ultrasonic-assisted micro-electro-discharge machining (μEDM) has the potential to enhance processing responses such as material removal rate (MRR) and surface finish. To understand the reasons for this enhancement, the physical mechanisms responsible for the individual discharges and the craters that they form need to be explored. This work examines features of craters formed by single discharges at various parameter values in both conventional and ultrasonic-assisted μEDM of Ti6Al4V. High-speed imaging of the plasma channel is performed, and data on the individual discharges are captured in real-time. A 2D axisymmetric model using finite element software is established to model crater formation. On the basis of simulation and experimental results, a comparative study is then carried out to examine the effects of ultrasonic vibrational assistance on crater geometry. For every set of μEDM parameters, the crater diameter and depth from a single discharge are found to be higher in ultrasonic-assisted μEDM than in conventional μEDM. The improved crater geometry and the reduced bulge formation at the crater edges are attributed to the increased melt pool velocity and temperature predicted by the model.","PeriodicalId":35428,"journal":{"name":"Nami Jishu yu Jingmi Gongcheng/Nanotechnology and Precision Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139447983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yan Yang, Shihong Xu, Yu Deng, Yaoyao Liu, Kui Zhang, Shiya Lv, Longze Sha, Qi Xu, Xinxia Cai, Jinping Luo
To enable the detection and modulation of modularized neural networks in vitro, this study proposes a microfluidic microelectrode array chip for the cultivation, compartmentalization, and control of neural cells. The chip was designed based on the specific structure of neurons and the requirements for detection and modulation. Finite-element analysis of the chip’s flow field was conducted using the COMSOL Multiphysics software, and the simulation results show that the liquid within the chip can flow smoothly, ensuring stable flow fields that facilitate the uniform growth of neurons within the microfluidic channels. By employing MEMS technology in combination with nanomaterial modification techniques, the microfluidic microelectrode array chip was fabricated successfully. Primary hippocampal neurons were cultured on the chip, forming a well-defined neural network. Spontaneous electrical activity of the detected neurons was recorded, exhibiting a 23.7% increase in amplitude compared to neuronal discharges detected on an open-field microelectrode array. This study provides a platform for the precise detection and modulation of patterned neuronal growth in vitro, potentially serving as a novel tool in neuroscience research.
{"title":"Simulation and fabrication of in vitro microfluidic microelectrode array chip for patterned culture and electrophysiological detection of neurons","authors":"Yan Yang, Shihong Xu, Yu Deng, Yaoyao Liu, Kui Zhang, Shiya Lv, Longze Sha, Qi Xu, Xinxia Cai, Jinping Luo","doi":"10.1063/10.0023849","DOIUrl":"https://doi.org/10.1063/10.0023849","url":null,"abstract":"To enable the detection and modulation of modularized neural networks in vitro, this study proposes a microfluidic microelectrode array chip for the cultivation, compartmentalization, and control of neural cells. The chip was designed based on the specific structure of neurons and the requirements for detection and modulation. Finite-element analysis of the chip’s flow field was conducted using the COMSOL Multiphysics software, and the simulation results show that the liquid within the chip can flow smoothly, ensuring stable flow fields that facilitate the uniform growth of neurons within the microfluidic channels. By employing MEMS technology in combination with nanomaterial modification techniques, the microfluidic microelectrode array chip was fabricated successfully. Primary hippocampal neurons were cultured on the chip, forming a well-defined neural network. Spontaneous electrical activity of the detected neurons was recorded, exhibiting a 23.7% increase in amplitude compared to neuronal discharges detected on an open-field microelectrode array. This study provides a platform for the precise detection and modulation of patterned neuronal growth in vitro, potentially serving as a novel tool in neuroscience research.","PeriodicalId":35428,"journal":{"name":"Nami Jishu yu Jingmi Gongcheng/Nanotechnology and Precision Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139390538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Arivarasi, D. Thiripurasundari, A. Selvakumar, B. Kumaar, T. Aghil, S. Rahul, R. Kannan
Stroke represents a severe, widespread, and widely acknowledged health crisis on both national and international levels. It is one of the most prevalent life-threatening conditions. Despite impressive advances in treating stroke, in addition to a need for effective patient care services, many sufferers still rely solely on physical interventions. The present paper describes and explains the use of a newly designed gadget for stroke survivors who cannot move their fingers. This is a sophisticated mobile device that enables stroke patients to regain their muscle memory and thus their ability to perform repetitive actions by continuing to tighten and stretch their muscles without the intervention of a physiotherapist. Gamification methodology is used to encourage patients to become involved in the process of rehabilitation. The device also has sensors that take information and transmit it to an app through an ESP32 connection. This enables physicians to view glove usage information remotely and keep track of an individual patient’s health. Communication between app and glove is facilitated by a broker in the Amazon Web Service IoT. With the robotic glove presented here, the recovery rate is found to be 90.23% over four weeks’ duration, which represents a significant improvement compared with existing hospital-based rehabilitation techniques.
{"title":"An advanced cost-efficient IoT method for stroke rehabilitation using smart gloves","authors":"A. Arivarasi, D. Thiripurasundari, A. Selvakumar, B. Kumaar, T. Aghil, S. Rahul, R. Kannan","doi":"10.1063/10.0020290","DOIUrl":"https://doi.org/10.1063/10.0020290","url":null,"abstract":"Stroke represents a severe, widespread, and widely acknowledged health crisis on both national and international levels. It is one of the most prevalent life-threatening conditions. Despite impressive advances in treating stroke, in addition to a need for effective patient care services, many sufferers still rely solely on physical interventions. The present paper describes and explains the use of a newly designed gadget for stroke survivors who cannot move their fingers. This is a sophisticated mobile device that enables stroke patients to regain their muscle memory and thus their ability to perform repetitive actions by continuing to tighten and stretch their muscles without the intervention of a physiotherapist. Gamification methodology is used to encourage patients to become involved in the process of rehabilitation. The device also has sensors that take information and transmit it to an app through an ESP32 connection. This enables physicians to view glove usage information remotely and keep track of an individual patient’s health. Communication between app and glove is facilitated by a broker in the Amazon Web Service IoT. With the robotic glove presented here, the recovery rate is found to be 90.23% over four weeks’ duration, which represents a significant improvement compared with existing hospital-based rehabilitation techniques.","PeriodicalId":35428,"journal":{"name":"Nami Jishu yu Jingmi Gongcheng/Nanotechnology and Precision Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49547574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ultrasonic peen forming (UPF) is an emerging technology that exhibits great superiority in both its flexible operating modes and the deep residual stress that it produces compared with conventional plastic forming methods. Although ultrasonic transducers with longitudinal vibration have been widely studied, they have seldom been incorporated into UPF devices for machining in confined spaces. To meet the requirements of this type of machining, a sandwich-type piezoelectric transducer with coupled longitudinal–flexural vibrational modes is proposed. The basic structure of the transducer is designed to obtain large vibrational amplitudes in both modes. Experimental results obtained with a prototype device demonstrate the feasibility of the proposed transducer. The measured vibrational amplitude for the working face in the longitudinal vibrational mode is 1.0 μm, and electrical matching increases this amplitude by 40%. The flexural vibration characteristics of the same prototype transducer are also tested and are found to be slightly smaller than those of longitudinal mode. The resultant working strokes of the UPF impact pins reach 1.7 mm and 1.2 mm in the longitudinal and flexural modes, respectively. The forming capability of the prototype has been evaluated via 15-min machining on standard 2024-T351 aluminum plates. After UPF, an improved surface morphology with lower surface roughness is obtained. The aluminum plate test piece has an apparent upper deformation with an arc height of 0.64 mm. The measured peak value of the compressive residual stress is around 250 MPa, appearing at a depth of 100 μm. The proposed longitudinal–flexural hybrid transducer thus provides a high-performance tool for plate peen forming in confined spaces.
{"title":"Design and analysis of longitudinal–flexural hybrid transducer for ultrasonic peen forming","authors":"Wuqin Li, Yongyong Zhu, Xiaolong Lu, Huafeng Li, Ying Wei, Pengwei Shang, B. Feng","doi":"10.1063/10.0020345","DOIUrl":"https://doi.org/10.1063/10.0020345","url":null,"abstract":"Ultrasonic peen forming (UPF) is an emerging technology that exhibits great superiority in both its flexible operating modes and the deep residual stress that it produces compared with conventional plastic forming methods. Although ultrasonic transducers with longitudinal vibration have been widely studied, they have seldom been incorporated into UPF devices for machining in confined spaces. To meet the requirements of this type of machining, a sandwich-type piezoelectric transducer with coupled longitudinal–flexural vibrational modes is proposed. The basic structure of the transducer is designed to obtain large vibrational amplitudes in both modes. Experimental results obtained with a prototype device demonstrate the feasibility of the proposed transducer. The measured vibrational amplitude for the working face in the longitudinal vibrational mode is 1.0 μm, and electrical matching increases this amplitude by 40%. The flexural vibration characteristics of the same prototype transducer are also tested and are found to be slightly smaller than those of longitudinal mode. The resultant working strokes of the UPF impact pins reach 1.7 mm and 1.2 mm in the longitudinal and flexural modes, respectively. The forming capability of the prototype has been evaluated via 15-min machining on standard 2024-T351 aluminum plates. After UPF, an improved surface morphology with lower surface roughness is obtained. The aluminum plate test piece has an apparent upper deformation with an arc height of 0.64 mm. The measured peak value of the compressive residual stress is around 250 MPa, appearing at a depth of 100 μm. The proposed longitudinal–flexural hybrid transducer thus provides a high-performance tool for plate peen forming in confined spaces.","PeriodicalId":35428,"journal":{"name":"Nami Jishu yu Jingmi Gongcheng/Nanotechnology and Precision Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45579098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of simulated zero gravity on adhesion, cell structure, proliferation, and growth behavior, in glioblastoma multiforme","authors":"Saifaldeen Altaie, A. Alrawi","doi":"10.1063/10.0019867","DOIUrl":"https://doi.org/10.1063/10.0019867","url":null,"abstract":"","PeriodicalId":35428,"journal":{"name":"Nami Jishu yu Jingmi Gongcheng/Nanotechnology and Precision Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42711274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mingshan Wu, Luxiang Xu, Zhou Yanbo, L. Liang, Yelong Zheng
{"title":"Characteristics of the pressure profile in the accelerator on the RF negative ion source at ASIPP","authors":"Mingshan Wu, Luxiang Xu, Zhou Yanbo, L. Liang, Yelong Zheng","doi":"10.1063/10.0019383","DOIUrl":"https://doi.org/10.1063/10.0019383","url":null,"abstract":"","PeriodicalId":35428,"journal":{"name":"Nami Jishu yu Jingmi Gongcheng/Nanotechnology and Precision Engineering","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49189751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}