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Scaling Laser Shock Peening process Towards High Repetition Rates: a Demonstration on Industrial Grade Al2024-T351 9

Scaling Laser Shock Peening Process Towards High Repetition ...

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conference on High-Power Laser Materials processing - Applications, diagnostics, and Systems IX part of SPIE LASE conference

作者： Lafoy, G. Bergon, J. Aouati, K. Kling, R. Palin-Luc, T. ALPhANOV Technol Ctr F-33400 Talence France Univ Bordeaux CNRS Arts & Metiers ParisTech Bordeaux INPI2M Bordeaux F-33400 Talence France

ISBN: (纸本)9781510633100;9781510633094

Micro laser shock peening (mu LSP) with pulse energies well below 1 J proved to be a useful technique to obtain fatigue-life performances similar to those reported for traditional LSP processes on metallic bulk materials [1, 2]. However, it suffers from a lack of productivity as spot sizes are reduced and pulse overlaps are increased in order to obtain compressive residual stresses, deep below the surface of the bulk material. To overcome these limitations of mu LSP, we have investigated strategies to scale up the productivity by increasing laser repetition rate while keeping constant the total amount of energy deposited on the peened surface [3-5]. We have built a laser processing cell to meet industrial grade applications. Complex surfaces are mounted on a KUKA robot to control the laser orientation and pulse overlap on the 3D workpiece surface. The pulse energy is provided by an 8 ns, Nd:YAG Laser, operating at 1064 nm, with a variable repetition rate from 10 to 100 Hz and delivering a maximum energy of 450 mJ/pulse on Al 2024-T351 samples with a thickness of 10 mm. We present high speed video analysis as diagnostic tool illustrating limitations in upscaling of repetition rates. As a proof of the mu LSP effectiveness we present compressive residual stress profiles with up to -500 MPa peak and a return to zero down to 1.8 mm below the surface. This represents a 5-times improvement of the maximum stress depth, when compared to conventional peening processes widely used in the aeronautic industry.

关键词： micro laser shock peening Aluminum alloy high repetition rate confinement layer residual stresses

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Metasurface Sensing Platforms for Medical diagnostics 1

Metasurface Sensing Platforms for Medical Diagnostics

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1st ACM International Workshop on Nanoscale Computing, Communication, and Applications, NanoCoCoA 2020, held in conjunction with the 18th ACM conference on Embedded Networked Sensor Systems, SenSys 2020

作者： Durant, Antoine Lacoste, Célia Donnelly, Erin Lalegani, Zahra Spada, Luigi La IUT1 Université Grenoble Alpes Grenoble France INP-ENSEEIHT University of Toulouse Toulouse France School of Engineering and the Built Environment Edinburgh Napier University Edinburgh United Kingdom School of Metallurgy and Materials University of Tehran Tehran Iran

ISBN: (纸本)9781450381161

The demand for medical follow-up is rising worldwide. Ensuring fast, reliable and efficient diagnostics would help meeting the demand by avoiding delays and errors. A promising technology in molecule and compound detection are the electromagnetic sensors, which received a huge attention in the last few years;mainly due to the increasing demand of devices able to improve quality, performance and safety in different industrial sectors. Despite reliable diagnostic technologies have been developed, some drawbacks are still present with the most common technologies: bandwidth, large dimensions and limited response control. Metasurfaces, bi-dimensional engineered materials exhibiting exotic electromagnetic properties, are representing an optimal solution to overcome these issues, permitting to enhance the existing diagnostic systems. However, they suffer from uneven design and manufacture processes. Therefore, in this paper, metasurface-based sensors are proposed and realized by using a new uniformized design method and an additive manufacturing process. The structures are finally experimentally tested and verified in different medical diagnostic applications, namely: cancer stage recognition and glucose/sugar levels measurement. The high performances shown by such meta-sensors, in terms of selectivity and sensibility, pave a new way to realize advanced platforms for non-invasive, high quality and faster patient diagnosis. © 2020 ACM.

关键词： Diagnosis

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All-in-one digital microfluidic system for molecular diagnosis based on the loop-mediated isothermal amplification 24

All-in-one digital microfluidic system for molecular diagnos...

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24th International conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020

作者： Hu, Siyi Yang, Chao Jie, Yuhan Yang, Haifei Su, Yang Ma, Hanbin CAS Key Laboratory of Bio-Medical Diagnostics Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Suzhou215163 China ACXEL TECHLTD Unit 184 Cambridge Science Park CambridgeCB4 OGA United Kingdom

ISBN: (纸本)9781733419017

An integrated multiplex digital microfluidic system combines magnetic bead-based DNA extraction, digital microfluidic chip (DMF), heater, and optical detection together in one system, creating an "All-in-one" system. In this experiment, only 5μL of *** samples were required. The full-automatic DNA extraction process needs 25 minutes on the chip, in the end, about 8ng/μL of pure DNA sample is obtained. Then 1μL of the DNA sample is transferred from the extraction region to the amplification region, combined with the temperature control module for Loop-mediated Isothermal Amplification (LAMP), only need 15-20min, and combined with the optical detection module for real-time amplification detection. © 2020 CBMS-0001

关键词： Digital microfluidics

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Lifetime improvement of digital microfluidic biochips based on the improved whale optimization algorithm for protein analysis instrument system

Lifetime improvement of digital microfluidic biochips based ...

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2020 IEEE International Instrumentation and Measurement Technology conference, I2MTC 2020

作者： Shi, Jinlong Fu, Ping Zheng, Wenbin Yin, Hongtao Jiaqing, Qiao Liu, Bing Harbin Institute of Technology School of Electronics and Information Engineering Harbin150080 China Department of Automatic Test and Control Harbin Institute of Technology Heilongjiang Harbin China

ISBN: (纸本)9781728144603

Digital micro-fluidic biochips (DMFBs) are revolutionizing laboratory procedures for point-of-care clinical diagnostics, environmental monitoring, and protein analysis. Those procedures require high precision of the output for every operation so it need to ensure the chip reliability and the chip lifetime. Because the electrodes on the chip may be reused at different experimental stages, a degraded electrode may be reused for many times. So the lifetime of the chips is closely related to the total actuating time of an electrode. Thus, the electrode total actuating time needs to be considered carefully in an efficient DMFBs design process. This paper proposed an improved whale optimization algorithm (IWOA), which can reduce excessive use of an electrode and reuse electrodes in average manner to optimal the longest lifetime of DMFBs during the design process. Firstly, the position mass of individual whales was improved to solve the problem that the data, calculated by the WOA, cannot be directly used to represent the sequence of operations. Secondly, the inertial weight was added to enhance the local search ability of WOA. The simulation experimental results showed that this algorithm was able to solve lifetime optimization problems. The maximum electrode time used was reduced by 10% to 20%. The performance of efficiency and convergence of algorithm were very good. © 2020 IEEE.

关键词： Electrodes

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Transiting Target Value Based Path Following control of Unmanned Surface Vessel

Transiting Target Value Based Path Following Control of Unma...

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International conference on Sensing, diagnostics, Prognostics, and control (SDPC)

作者： Jiangfeng Zeng Yangliu Xie Xiaoye Guo Xingchen Liu Wei Han CSSC System Engineering Research Ilnstitute Beijing China

ISBN: (数字)9781728170503

ISBN: (纸本)9781728170510

This paper presents a transiting target value-based control method for the path following of unmanned surface vessel (USV). The target heading angle is arranged through a transiting process, and the transited target heading angle is treated as the real desired heading angle for the heading controller. This can alleviate the overshoot problem caused by the target heading angle abrupt change during broken line path following. To eliminate the steady state error, an integral type S plane speed controller is employed. Broken line path following field experiment is carried out to validate the rationality of the designed control scheme.

关键词： Velocity control process control Steady-state Sensors Surface treatment

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Online framework of prognostic and health management for cmg under multiphysics 30

Online framework of prognostic and health management for cmg...

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30th European Safety and Reliability conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management conference, PSAM15 2020

作者： Tian, Limei Yu, Jinsong Han, Danyang Zhang, Liwen Zhang, Qiang Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China School of Instrumentation Science and Opto-electronics Engineering Beihang University Beijing China

ISBN: (纸本)9789811485930

control moment gyroscope (CMG) is the key actuator of satellite and it is critical for monitoring health condition and maintenance. However, there are three challenges in health management. Firstly, the environment where a CMG works is complex and is hard to be decomposed into the receiver and the affected, which brings difficulty to estimate the performance of CMG. Secondly, because of design requirement and installation cost, the vibration sensor, which is regarded as a key health indication other industrial background, is unavailable. Finally, missing data is a big data with unconnected base stations for transforming collected sensor data, decreasing the accuracy of online CMG health condition estimation and rest useful life (RUL) prediction. To face these challenges, this paper proposed a system framework of prognostic and health management considering environment. The contributions in this paper include: 1) introducing a relationship between temperature, current and speed of high-speed bearing to depict the degeneration process. 2) considering the environmental effect on system and designing a duel-flow deep learning model to detect abnormal time serial data. 3) proposing a workflow before data training for estimate missing data. 4) Describing software architecture for spacecraft diagnostics and health management. Finally, experiments and an application example will demonstrate the efficiency of proposed method and framework. © ESREL2020-PSAM15 Organizers. Published by Research Publishing, Singapore.

关键词： Multiphysics

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Event stream classification with limited labeled data for e-commerce monitoring

Event stream classification with limited labeled data for e-...

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IEEE International conference on Software Quality, Reliability and Security (QRS)

作者： Alexander Zimin Igor Mishchenko Rebecca Steinert Intelligent Cloud Control *** Inc.

ISBN: (纸本)9781665458146

Monitoring and diagnostics of large software systems is crucial to ensure uninterrupted functioning of modern businesses. Reliability engineers have to rely on automatic event processing to identify and mitigate any potential disruptions of the system health from underlying computer networks. As obtaining impact labels for individual events is expensive, systems operators usually maintain only a small rep-resentative dataset, making it hard for machine learning practitioners to train models on large-scale data streams. By formulating the problem within the multiple instance learning framework, we propose an approach to event classification that can be effectively trained using this limited information. Our evaluation results show potential 65% reduction in minutes spent by the network reliability engineers on disruption investigations when the proposed model is used. By automatically quantifying the network impact, the proposed approach streamlines the investigation process and reduces the risk of unnecessary wake-up calls among on-call reliability engineers and resolver personnel.

关键词： Computer network reliability Machine learning Software quality Reliability engineering Software systems Software reliability Electronic commerce

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Identification of ORC unit operation in biomass-fired cogeneration system

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RENEWABLE ENERGY 2019年 142卷 400-414页

作者： Kalina, Jacek Swierzewski, Mateusz Silesian Tech Univ Inst Thermal Technol Konarskiego 22 PL-44100 Gliwice Poland

This paper presents an analysis of operational parameters of the commercial Organic Rankine Cycle (ORC) cogeneration unit integrated with biomass-fired boiler and municipal heating network. The analysis is based on field measurements in real operational conditions using standard industrial sensors installed within the system. Regression based mathematical modelling have been applied to develop robust predictive models of the ORC system for its diagnostics and production planning. Historical data collected within the Supervisory control and Data Acquisition System of the plant have been used to establish correlations between key thermodynamic parameters. Results reveal off-design performance characteristics of the ORC unit and its individual components such as turbine, evaporator and condenser. There are also demonstrated results of application of the model for technical condition and performance monitoring, which can support decisions on maintenance activities. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Biomass Organic rankine cycle Cogeneration process identification diagnostics

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Design, Analysis and Experimental Application of a Fractional Sliding Mode control for a Benchmark process 3

Design, Analysis and Experimental Application of a Fractiona...

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3rd International conference on Applied Automation and Industrial diagnostics (ICAAID)

作者： Ozbek, Necdet Sinan Eker, Ilyas Adana Alparslan Turkes Sci & Technol Univ Fac Engn Dept Elect & Elect Engn Adana Turkey Cukurova Univ Fac Engn Dept Elect & Elect Engn Adana Turkey

ISBN: (纸本)9781728128740

This study investigates the design and real-time application of fractional order sliding mode control (FOSMC) for an industrial air heating process. The closed-loop stability of the system is analysed with Lyapunov theorem. The compensation results of the modelled system are investigated under a sinusoidal tracking reference temperature profile. The physical limitations of the real system are taken into account through experimental applications. Further, the performance evaluation is tabulated with a number of quantitative measures.

关键词： sliding mode control fractional order control stability analysis Lyapunov theorem

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Can you hear me now? A call detail record based end-to-end diagnostics system for mobile networks 15

Can you hear me now? A call detail record based end-to-end d...

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15th Int Conf on Network and Serv Management (CNSM) / 1st Int Workshop on Analyt for Serv and Application Management (AnServApp) / Int Workshop on High-Precision Networks Operat and control, Segment Routing and Serv Function Chaining (HiPNet+SR/SFC)

作者： Tauriainen, Anssi Aalto Univ Dept Comp Sci Helsinki Finland

ISBN: (纸本)9783903176249

Automation of mobile network fault diagnostics and troubleshooting is critical for successful transformation to new network technologies such as 5G and core Network Function Virtualization (NFV). This paper presents a decision tree-based call detail record (CDR) labeling process, which is used to construct an automated end-to-end diagnostics system for mobile network faults. The presented diagnostics system will enable the utilization of automated troubleshooting systems, and the execution of automated corrective actions in third party systems such as Self-Organizing Network (SON) and NFV domain orchestrator.

关键词： Mobile network monitoring service assurance automated end-to-end diagnostics decision tree machine learning call detail record

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