Pub Date : 2022-08-08DOI: 10.1109/3M-NANO56083.2022.9941522
Junhao Ouyang, Z. Qiu, Sinan Yuan
Injection molding is a multi-field interacted process with high pressure, high speed and high temperature, which leads to that the deformation and its microcosmic distribution of molded part are intractable to measure and describe accurately. In this paper, a deformation reconstruction method based on the stratified Iterative Closed Point (ICP) registration and B-spline fitting was proposed. In the method, an adaptive smoothing filtering algorithm was presented to process the measured point cloud, and the registration considering the impact of the deformation was applied to align the measured to the ideal point clouds to get accurate deformation, and the cubic B-spline surface interpolation algorithm was utilized for the deformation reconstruction. The experiment results showed that the developed adaptive filtering could better smooth the data than the traditional mean, median, and Gaussian filtering algorithms, and the error of the stratified ICP was about 13% less than that of the traditional ICP and the transformation reliabilities were improved, furthermore, the deformation values, corresponding positions, and microcosmic distribution of deformation were completely supplemented.
{"title":"Deformation Reconstruction of Injection Molded Part Based on Stratified ICP Registration and B-spline Fitting","authors":"Junhao Ouyang, Z. Qiu, Sinan Yuan","doi":"10.1109/3M-NANO56083.2022.9941522","DOIUrl":"https://doi.org/10.1109/3M-NANO56083.2022.9941522","url":null,"abstract":"Injection molding is a multi-field interacted process with high pressure, high speed and high temperature, which leads to that the deformation and its microcosmic distribution of molded part are intractable to measure and describe accurately. In this paper, a deformation reconstruction method based on the stratified Iterative Closed Point (ICP) registration and B-spline fitting was proposed. In the method, an adaptive smoothing filtering algorithm was presented to process the measured point cloud, and the registration considering the impact of the deformation was applied to align the measured to the ideal point clouds to get accurate deformation, and the cubic B-spline surface interpolation algorithm was utilized for the deformation reconstruction. The experiment results showed that the developed adaptive filtering could better smooth the data than the traditional mean, median, and Gaussian filtering algorithms, and the error of the stratified ICP was about 13% less than that of the traditional ICP and the transformation reliabilities were improved, furthermore, the deformation values, corresponding positions, and microcosmic distribution of deformation were completely supplemented.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122126089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-08DOI: 10.1109/3M-NANO56083.2022.9941535
Yanjie Yuan, Jiangyun Zhu, Kunkun Yu
An innovative 3D (three-dimensional) ultrasonic vibrator using one longitudinal vibration mode and two bending resonant vibration modes is presented in this paper. A sandwich structure is used to ensure the high working frequency and high stiffness. The electromechanical equivalent model of the 3D ultrasonic vibrator is built to determine initial parameters of the 3D ultrasonic vibrator. Then, finite element method is used to optimize the longitudinal vibration frequency coupled with the bending vibration frequency. The simulation results show that the resonant frequency difference of longitudinal and bending vibration is around 0.067%, demonstrating the longitudinal and bending vibration modes of the 3D ultrasonic vibrator are well coupled. Thus, the 3D ultrasonic vibrator has the ability of generating 3D ultrasonic vibrations at the coupled resonant frequency.
{"title":"Development of an Innovative 3D Ultrasonic Vibrator for Ultrasonic Vibration Cutting","authors":"Yanjie Yuan, Jiangyun Zhu, Kunkun Yu","doi":"10.1109/3M-NANO56083.2022.9941535","DOIUrl":"https://doi.org/10.1109/3M-NANO56083.2022.9941535","url":null,"abstract":"An innovative 3D (three-dimensional) ultrasonic vibrator using one longitudinal vibration mode and two bending resonant vibration modes is presented in this paper. A sandwich structure is used to ensure the high working frequency and high stiffness. The electromechanical equivalent model of the 3D ultrasonic vibrator is built to determine initial parameters of the 3D ultrasonic vibrator. Then, finite element method is used to optimize the longitudinal vibration frequency coupled with the bending vibration frequency. The simulation results show that the resonant frequency difference of longitudinal and bending vibration is around 0.067%, demonstrating the longitudinal and bending vibration modes of the 3D ultrasonic vibrator are well coupled. Thus, the 3D ultrasonic vibrator has the ability of generating 3D ultrasonic vibrations at the coupled resonant frequency.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"5 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116789498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-08DOI: 10.1109/3M-NANO56083.2022.9941549
Huan Yang, Zuobin Wang
In this paper, the formation of electric field in optically-induced dielectrophoresis with different light patterns was simulated, which provided a theoretical basis for experiments, and the influence of frequency on the manipulation results was found through simulations and experiments. We simulated the corresponding non-uniform electric field generated by the light patterns of dot, ring and strip arrays respectively, and obtained the intuitive electric field distribution and the distribution curve of the gradient of the square of the electric field strength directly related to the light induced dielectrophoresis force, which provided a theoretical basis for the experiment. The experiments verified the accuracy of the simulation. Fromg simulations and experiments, it is found that even if the crossover frequency is not involved, the frequency change of the electrical signal can also affect the position of the cells being manipulated.
{"title":"Formation of Electric Fields in Optically-induced Dielectrophoresis","authors":"Huan Yang, Zuobin Wang","doi":"10.1109/3M-NANO56083.2022.9941549","DOIUrl":"https://doi.org/10.1109/3M-NANO56083.2022.9941549","url":null,"abstract":"In this paper, the formation of electric field in optically-induced dielectrophoresis with different light patterns was simulated, which provided a theoretical basis for experiments, and the influence of frequency on the manipulation results was found through simulations and experiments. We simulated the corresponding non-uniform electric field generated by the light patterns of dot, ring and strip arrays respectively, and obtained the intuitive electric field distribution and the distribution curve of the gradient of the square of the electric field strength directly related to the light induced dielectrophoresis force, which provided a theoretical basis for the experiment. The experiments verified the accuracy of the simulation. Fromg simulations and experiments, it is found that even if the crossover frequency is not involved, the frequency change of the electrical signal can also affect the position of the cells being manipulated.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123587339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-08DOI: 10.1109/3M-NANO56083.2022.9941643
Yuqi Sheng, H. Qi, Liu Yang, Wensheng Yu, Guixia Liu, Xiang-ting Dong
Up-conversion luminescent-conductive bi-functional core-shell yarns (shorted as CSYs) were successfully synthesized utilizing conjugation electrospinning technology. This specially designed CSYs are composed of two kinds of electrospun fibers. The up-conversion luminescent electrospun fibers (ULEFs) containing NaYF4: Yb3+, Er3+ up-conversion luminescent nanoparticles (ULNPs) are located in the shell layer and conductive electrospun fibers (CEFs) containing polyaniline (PANI) composes the shell layer. The diameters of CSYs and the nanofibers therein are ca. $475 mumathrm{m}$ and 735.5±1.19 nm respectively. The EDS element mapping indicates obvious core-shell structure of the obtained CSYs. CSYs exhibit tunable up-conversion luminescent intensity and conductivity by modulating the doping mass of ULNPs and PANI respectively. CSYs synthesized in this work are one of the excellent candidates for intelligent fabrics, anti-counterfeiting materials and electrical devices. Additionally, the particular designing concept and the assembling mechanism of the CSYs are widely expanded to other poly-functional yarns.
利用共轭静电纺丝技术成功合成了上转换发光导电双功能芯壳纱(简称CSYs)。这种特殊设计的CSYs由两种静电纺纤维组成。含有NaYF4: Yb3+、Er3+的上转换发光纳米粒子(ULNPs)位于壳层，含有聚苯胺(PANI)的导电静电纺纤维(CEFs)构成壳层。CSYs及其纳米纤维的直径分别约为$475 mu mathm {m}$和735.5±1.19 nm。EDS元素映射表明所得到的CSYs具有明显的核壳结构。通过调节ULNPs和PANI的掺杂质量，CSYs具有可调谐的上转换发光强度和电导率。本工作合成的CSYs是智能织物、防伪材料和电气器件的优秀候选材料之一。此外，CSYs独特的设计理念和装配机理也被广泛推广到其他多功能纱线中。
{"title":"Facile Conjugation Electrospinning Construction of Core-shell Structured Nanofiber Yarns Displaying Synchronous Up-conversion and Conduction Bi-functionality","authors":"Yuqi Sheng, H. Qi, Liu Yang, Wensheng Yu, Guixia Liu, Xiang-ting Dong","doi":"10.1109/3M-NANO56083.2022.9941643","DOIUrl":"https://doi.org/10.1109/3M-NANO56083.2022.9941643","url":null,"abstract":"Up-conversion luminescent-conductive bi-functional core-shell yarns (shorted as CSYs) were successfully synthesized utilizing conjugation electrospinning technology. This specially designed CSYs are composed of two kinds of electrospun fibers. The up-conversion luminescent electrospun fibers (ULEFs) containing NaYF4: Yb3+, Er3+ up-conversion luminescent nanoparticles (ULNPs) are located in the shell layer and conductive electrospun fibers (CEFs) containing polyaniline (PANI) composes the shell layer. The diameters of CSYs and the nanofibers therein are ca. $475 mumathrm{m}$ and 735.5±1.19 nm respectively. The EDS element mapping indicates obvious core-shell structure of the obtained CSYs. CSYs exhibit tunable up-conversion luminescent intensity and conductivity by modulating the doping mass of ULNPs and PANI respectively. CSYs synthesized in this work are one of the excellent candidates for intelligent fabrics, anti-counterfeiting materials and electrical devices. Additionally, the particular designing concept and the assembling mechanism of the CSYs are widely expanded to other poly-functional yarns.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127950414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-08DOI: 10.1109/3M-NANO56083.2022.9941637
Mingyu Li, Jinkai Xu, Yonggang Hou
The surface quality and material removal rate of NiTi shape memory alloy (NiTi-SMA) wire electrical discharge machining (WEDM) are affected by discharge current, pulse width, flushing pressure and other factors. In this paper, a series of univariate experimental analyses were carried out. Based on the theory of heat transfer field and flow field, a numerical model for the machining process of NiTi-SMA WEDM is established. Combining experimental and simulation results, the law that the material removal rate and surface quality are affected by each process parameter is obtained. Discharge current and pulse width are the main factors affecting surface quality and material removal rate. Flushing pressure is the cause of the asymmetric distribution of the discharge pits.
{"title":"Numerical Simulation and Experimental Research on Wire Electrical Discharge Machining of NiTi Shape Memory Alloy","authors":"Mingyu Li, Jinkai Xu, Yonggang Hou","doi":"10.1109/3M-NANO56083.2022.9941637","DOIUrl":"https://doi.org/10.1109/3M-NANO56083.2022.9941637","url":null,"abstract":"The surface quality and material removal rate of NiTi shape memory alloy (NiTi-SMA) wire electrical discharge machining (WEDM) are affected by discharge current, pulse width, flushing pressure and other factors. In this paper, a series of univariate experimental analyses were carried out. Based on the theory of heat transfer field and flow field, a numerical model for the machining process of NiTi-SMA WEDM is established. Combining experimental and simulation results, the law that the material removal rate and surface quality are affected by each process parameter is obtained. Discharge current and pulse width are the main factors affecting surface quality and material removal rate. Flushing pressure is the cause of the asymmetric distribution of the discharge pits.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"102 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120835437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The continuous mechanical Mini-LED chip mass transfer approach is greatly attractive for the rapidly growing Mini-LED display applications. Compared with the traditional intermittent eject pin transfer method, the continuous method significantly decreases the transfer duration, thus the production efficiency is greatly improved. To this end, a novel continuous ejector pin mechanism with 2-degree of freedom (DOF) and sub-centimeter-scale stroke is designed for continuous mechanical Mini-LED chip mass transfer, which is driven by the piezoelectric actuators and generates the displacement via the compliant mechanism. Specifically, the Continuous Ejector Pin Mechanism (CEPM) provides the decoupled displacements along horizontal and vertical directions such that the ejector pin can keep relatively stationary with the moving chip carrier and achieves chip transfer from the blue film to the substrate. The mechanism consists of a double-bridge cascade structure in the vertical direction, and a bridge-DPFR (double parallel four-reed flexible module) parallel structure in the horizontal direction which is capable of achieving large stroke, high frequency, and high precision motion of the pinning system. Kinetostatic analysis of the mechanism is carried out by using the matrix representation base on Von-Mises beam theory and small deformation assumption. Finally, the performance of the installations is analyzed and evaluated by the finite element analysis (FEA) method.
{"title":"Design and Analysis of a Novel Continuous Ejector Pin Mechanism for Mini-LED Mass Transfer","authors":"Zhishen Liao, Hongcheng Li, Chengsi Huang, Zhihang Lin, Hui Tang, Yuandong Tian","doi":"10.1109/3M-NANO56083.2022.9941719","DOIUrl":"https://doi.org/10.1109/3M-NANO56083.2022.9941719","url":null,"abstract":"The continuous mechanical Mini-LED chip mass transfer approach is greatly attractive for the rapidly growing Mini-LED display applications. Compared with the traditional intermittent eject pin transfer method, the continuous method significantly decreases the transfer duration, thus the production efficiency is greatly improved. To this end, a novel continuous ejector pin mechanism with 2-degree of freedom (DOF) and sub-centimeter-scale stroke is designed for continuous mechanical Mini-LED chip mass transfer, which is driven by the piezoelectric actuators and generates the displacement via the compliant mechanism. Specifically, the Continuous Ejector Pin Mechanism (CEPM) provides the decoupled displacements along horizontal and vertical directions such that the ejector pin can keep relatively stationary with the moving chip carrier and achieves chip transfer from the blue film to the substrate. The mechanism consists of a double-bridge cascade structure in the vertical direction, and a bridge-DPFR (double parallel four-reed flexible module) parallel structure in the horizontal direction which is capable of achieving large stroke, high frequency, and high precision motion of the pinning system. Kinetostatic analysis of the mechanism is carried out by using the matrix representation base on Von-Mises beam theory and small deformation assumption. Finally, the performance of the installations is analyzed and evaluated by the finite element analysis (FEA) method.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128096614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-08DOI: 10.1109/3M-NANO56083.2022.9941550
Yi Zeng, Li Li, Shengli Zhang, Zuobin Wang, Xianping Liu
Liver cancer is considered to be the main cause of death, and early detection and treatment can reduce the incidence. However, the diagnosis of cancer is not always accurate. In this paper, we use a decision tree machine learning algorithm to classify liver cancer cells based on their nano-features. This is done by extracting nano features to form a dataset after scanning a large number of living cell samples by AFM, including length, height, roughness, adhesion, elastic modulus. After randomly splitting the dataset, a decision tree algorithm was used to judge the nano-information features and classify the liver cancer cells. Finally, the classification performance was evaluated by parameters, such as ROC and AUC and confusion matrix.
{"title":"Classification of Liver Cancer Cell Based on Nano-features Using Decision Tree Algorithm","authors":"Yi Zeng, Li Li, Shengli Zhang, Zuobin Wang, Xianping Liu","doi":"10.1109/3M-NANO56083.2022.9941550","DOIUrl":"https://doi.org/10.1109/3M-NANO56083.2022.9941550","url":null,"abstract":"Liver cancer is considered to be the main cause of death, and early detection and treatment can reduce the incidence. However, the diagnosis of cancer is not always accurate. In this paper, we use a decision tree machine learning algorithm to classify liver cancer cells based on their nano-features. This is done by extracting nano features to form a dataset after scanning a large number of living cell samples by AFM, including length, height, roughness, adhesion, elastic modulus. After randomly splitting the dataset, a decision tree algorithm was used to judge the nano-information features and classify the liver cancer cells. Finally, the classification performance was evaluated by parameters, such as ROC and AUC and confusion matrix.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128221908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-08DOI: 10.1109/3M-NANO56083.2022.9941589
Lan Liu, X. Wang, Zegao Wang
Attributing to their excellent property and superior performance, graphene and graphene-like materials have a wide range of applications and good prospects in the industries of electronics, integrated circuits, energy storage and conversion, medical treatment et al. This paper summarizes the support policies of managements for graphene and graphene-like industry, and finds that support policies for the graphene industry is sufficient, but there is some homogeneity in policies. In addition, specific support policies for graphene-like industry are lagging behind. The management should change the current policy expansion, and give clear direction.
{"title":"Overview of Industrial Policies for Graphene and Graphene-like Materials","authors":"Lan Liu, X. Wang, Zegao Wang","doi":"10.1109/3M-NANO56083.2022.9941589","DOIUrl":"https://doi.org/10.1109/3M-NANO56083.2022.9941589","url":null,"abstract":"Attributing to their excellent property and superior performance, graphene and graphene-like materials have a wide range of applications and good prospects in the industries of electronics, integrated circuits, energy storage and conversion, medical treatment et al. This paper summarizes the support policies of managements for graphene and graphene-like industry, and finds that support policies for the graphene industry is sufficient, but there is some homogeneity in policies. In addition, specific support policies for graphene-like industry are lagging behind. The management should change the current policy expansion, and give clear direction.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"355 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125641131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-08DOI: 10.1109/3M-NANO56083.2022.9941551
Jianfei Yao, Yunxuan Gong, Yongzhi Liu, Zhili Long
The basic principle of ultrasonic-based absolute stress detection is to estimate the stress by detecting the propagation time of ultrasound in the medium. Because the change of wave speed caused by stress is very weak, how to obtain the propagation time of ultrasonic waves in the medium stably is the key problem. The commonly used time-of-flight (TOF) extraction methods include the peak value method or the threshold method, these methods are very sensitive to noise and waveform distortion in the signal, and have poor stability when the echo's signal-to-noise ratio (SNR) is low. Therefore, we adopt a TOF extraction method based on wavelet noise reduction algorithm and cross-correlation method. The SNR of the echo is improved by wavelet noise reduction, and the TOF is obtained by the cross-correlation method. Moreover, the acquisition mode of one transmitter and two receivers is adopted to solve the reference signal consistency problem in the cross-correlation method. The experimental results show that compared with the peak value method, the cross-correlation method improves the accuracy and stability of TOF extraction.
{"title":"Time-of-flight Extraction Method Based on Cross-correlation for Stress Measurement","authors":"Jianfei Yao, Yunxuan Gong, Yongzhi Liu, Zhili Long","doi":"10.1109/3M-NANO56083.2022.9941551","DOIUrl":"https://doi.org/10.1109/3M-NANO56083.2022.9941551","url":null,"abstract":"The basic principle of ultrasonic-based absolute stress detection is to estimate the stress by detecting the propagation time of ultrasound in the medium. Because the change of wave speed caused by stress is very weak, how to obtain the propagation time of ultrasonic waves in the medium stably is the key problem. The commonly used time-of-flight (TOF) extraction methods include the peak value method or the threshold method, these methods are very sensitive to noise and waveform distortion in the signal, and have poor stability when the echo's signal-to-noise ratio (SNR) is low. Therefore, we adopt a TOF extraction method based on wavelet noise reduction algorithm and cross-correlation method. The SNR of the echo is improved by wavelet noise reduction, and the TOF is obtained by the cross-correlation method. Moreover, the acquisition mode of one transmitter and two receivers is adopted to solve the reference signal consistency problem in the cross-correlation method. The experimental results show that compared with the peak value method, the cross-correlation method improves the accuracy and stability of TOF extraction.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130598286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The introduction of optical feedback mechanism enhances the cascaded four-wave mixing (CFWM) effect in high nonlinear fiber, and the machine learning algorithm is used to optimize and predict the bandwidth and number of the CFWM products through controlling parameters in high nonlinear fiber, such as fiber length, pump power and feedback coefficient. Compared with the single pass situation, the results show that the bandwidth is increased to 300 nm with up to 41 products, and the products number is also improved by introducing optical feedback strategy. The comparison between the simulation results and machine learning results demonstrated that the neural network model has the potential for analyzing and predicting the CFWM products in the high nonlinear fiber with a feedback system. The model is characterized by MSE below 0.01 and improves the time efficiency by 81.9%. This research can pave the way for realizing cross-over studies bridge between nonlinear fiber optics and machining learning.
{"title":"Accurate Evaluation of Cascaded Four-wave Mixing Products Generation in Fiber with Optical Feedback Based on Multilayer Perceptron","authors":"Jin Wen, Wei Sun, Weijun Qin, Chenyao He, Keyu Xiong, Bozhi Liang","doi":"10.1109/3M-NANO56083.2022.9941668","DOIUrl":"https://doi.org/10.1109/3M-NANO56083.2022.9941668","url":null,"abstract":"The introduction of optical feedback mechanism enhances the cascaded four-wave mixing (CFWM) effect in high nonlinear fiber, and the machine learning algorithm is used to optimize and predict the bandwidth and number of the CFWM products through controlling parameters in high nonlinear fiber, such as fiber length, pump power and feedback coefficient. Compared with the single pass situation, the results show that the bandwidth is increased to 300 nm with up to 41 products, and the products number is also improved by introducing optical feedback strategy. The comparison between the simulation results and machine learning results demonstrated that the neural network model has the potential for analyzing and predicting the CFWM products in the high nonlinear fiber with a feedback system. The model is characterized by MSE below 0.01 and improves the time efficiency by 81.9%. This research can pave the way for realizing cross-over studies bridge between nonlinear fiber optics and machining learning.","PeriodicalId":370631,"journal":{"name":"2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132351889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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