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A Portable Noncontact Profile Scanning System for Aircraft Assembly

Bing Liang, Wei Liu, Kun Liu, Mengde Zhou, Yang Zhang, Zhenyuan Jia

Engineering 2022, Volume 15, Issue 8,   Pages 207-214 doi: 10.1016/j.eng.2020.09.017

Abstract:

Three-dimensional (3D) profile scanning plays a crucial role in the inspection of assembled largeautomatic measurements of the high-reflective profiles of large-scale curved parts and components, an automatedThen, a profile-driven 3D automated scanning method and strategy are designed to rapidly scan and reconstructThe automated scanning process is completed in a timeframe of 208 s with an average error of less than

Keywords： Aircraft testing     Three-dimensional measurement     Profile reconstruction     Automated scanning     Scanning strategy    

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New kind of subarea-parallel scanning mode for laser metal deposition shaping

BIAN Hongyou, LIU Weijun, ZHAO Jibin

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4,   Pages 417-422 doi: 10.1007/s11465-007-0071-1

Abstract: A scanning mode is the key technology in a laser metal deposition shaping (LMDS) fabrication process.On the basis of the analysis of existing scanning modes and their influences on the fabrication efficiencyA new kind of subarea-parallel scanning mode for LMDS based on a subdividing profiled outline into monotonousSecond, the parallel scanning paths of all monotonous polygon subareas are finished, which diminishesthe length of the scanning line.

Keywords： scanning     parallel scanning     practical application     fabrication efficiency     LMDS    

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Analysis and comparison of laser cutting performance of solar float glass with different scanning modes

Wenyuan LI, Yu HUANG, Youmin RONG, Long CHEN, Guojun ZHANG, Zhangrui GAO

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 97-110 doi: 10.1007/s11465-020-0600-8

Abstract: Laser scanning modes have two kinds, namely, the spiral and concentric circle scanning modes.The mechanism of the glass laser cutting under these two different scanning modes has been described.Results indicate that compared with the spiral scanning mode, the minimum area of edge chipping (218340Moreover, the best cutting efficiency scanning mode is 14.2% faster than that in the spiral scanningThe best parameter combination for the concentric circle scanning mode is as follows: Scanning speed:

Keywords： laser cutting     solar float glass     scanning mode     surface quality     cutting efficiency    

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Review of MEMS differential scanning calorimetry for biomolecular study

Shifeng YU, Shuyu WANG, Ming LU, Lei ZUO

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 4,   Pages 526-538 doi: 10.1007/s11465-017-0451-0

Abstract:

Differential scanning calorimetry (DSC) is one of the few techniques that allow direct determinationbovine serum albumin denaturation study, the relationship between the melting point of lysozyme and the scanning

Keywords： differential scanning calorimetry     biomolecule     MEMS     thermodynamic    

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Automated synthesis of steady-state continuous processes using reinforcement learning

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 288-302 doi: 10.1007/s11705-021-2055-9

Abstract: Automated flowsheet synthesis is an important field in computer-aided process engineering.The present work demonstrates how reinforcement learning can be used for automated flowsheet synthesis

Keywords： automated process synthesis     flowsheet synthesis     artificial intelligence     machine learning     reinforcement    

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Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 227-239 doi: 10.15302/J-FEM-2018071

Abstract: Construction is considered among the most dangerous industries and is responsible for a large portion of total worker fatalities. A construction worker has a probability of 1-in-200 of dying on the job during a 45-year career, mainly due to fires, falls, and being struck by or caught between objects. Hence, employers must ensure their workers wear personal protective equipment (PPE), in particular hardhats, if they are at risk of falling, being struck by falling objects, hitting their heads on static objects, or coming in proximity to electrical hazards. However, monitoring the presence and proper use of hardhats becomes inefficient when safety officers must survey large areas and a considerable number of workers. Using images captured from indoor jobsites, this paper evaluates existing computer vision techniques, namely object detection and color-based segmentation tools, used to rapidly detect if workers are wearing hardhats. Experiments are conducted and the results highlight the potential of cascade classifiers, in particular, to accurately, precisely, and rapidly detect hardhats under different scenarios and for repetitive runs, and the potential of color-based segmentation to eliminate false detections.

Keywords： construction     safety     personal protective equipment     hardhat     computer vision    

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hardening performance of three-dimensionally-printed geopolymer based on lunar regolith simulant for automated

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0003-0

Abstract: Using an in situ lunar regolith as a construction material in combination with 3D printing not only reduces the weight of materials carried from the Earth but also improves the automation of lunar infrastructure construction. This study aims to improve the printability of a geopolymer based on a BH-1 lunar regolith simulant, including the extrudability, open time, and buildability, by controlling the temperature and adding admixtures. Rheological parameters were used to represent printability with different water-to-binder ratios, printing temperatures, and contents of additives. The mechanical properties of the hardening geopolymer with different filling paths and loading directions were tested. The results show that heating the printed filaments with a water-to-binder ratio of 0.32 at 80 °C can adjust the printability without adding any additive, which can reduce the construction cost of lunar infrastructure. The printability of the BH-1 geopolymer can also be improved by adding 0.3% Attagel-50 and 0.5% polypropylene fiber by mass at a temperature of 20 °C to cope with the changeable environmental conditions on the Moon. After curing under a simulated lunar environment, the 72-h flexural and compressive strengths of the geopolymer specimens reach 4.1 and 48.1 MPa, respectively, which are promising considering that the acceleration of gravity on the Moon is 1/6 of that on the Earth.

Keywords： geopolymer     lunar regolith simulant     3D printing     rheology     printability    

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Programmable Adaptive Security Scanning for Networked Microgrids Article

Zimin Jiang, Zefan Tang, Peng Zhang, Yanyuan Qin

Engineering 2021, Volume 7, Issue 8,   Pages 1087-1100 doi: 10.1016/j.eng.2021.06.007

Abstract: In this study, a programmable adaptive security scanning (PASS) approach is presented to protect DER

Keywords： Networked microgrids     Programmable adaptive security scanning     Coordinated detection     Software defined    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: Today, the most commonly used civil infrastructure inspection method is based on a visual assessment conducted by certified inspectors following prescribed protocols. However, the increase in aggressive environmental and load conditions, coupled with the achievement of many structures of the life-cycle end, has highlighted the need to automate damage identification and satisfy the number of structures that need to be inspected. To overcome this challenge, this paper presents a method for automating concrete damage classification using a deep convolutional neural network. The convolutional neural network was designed after an experimental investigation of a wide number of pretrained networks, applying the transfer-learning technique. Training and validation were conducted using a database built with 1352 images balanced between “undamaged”, “cracked”, and “delaminated” concrete surfaces. To increase the network robustness compared to images in real-world situations, different image configurations have been collected from the Internet and on-field bridge inspections. The GoogLeNet model, with the highest validation accuracy of approximately 94%, was selected as the most suitable network for concrete damage classification. The results confirm that the proposed model can correctly classify images from real concrete surfaces of bridges, tunnels, and pavement, resulting in an effective alternative to the current visual inspection techniques.

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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Evaluation of automated in-line precision dairy farming technology implementation in three dairy farms

Maria CARIA, Giuseppe TODDE, Antonio PAZZONA

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 2,   Pages 181-187 doi: 10.15302/J-FASE-2019252

Abstract: The automated in-parlour milk analysis and separation is mainly useful to produce low or high quality

Keywords： cheese yield     infrared analysis     milk quality     real-time measurement     sensor    

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Determination of selected semi-volatile organic compounds in water using automated online solid-phase

Yongtao LI, Christina L. MCCARTY, Ed J. GEORGE

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3,   Pages 417-425 doi: 10.1007/s11783-011-0310-x

Abstract: The method used an automated online solid-phase extraction technique coupled with programmed-temperatureThe water samples were extracted by using a fully automated mobile rack system based on x-y-z roboticAs a result, this new automated method can be used as an effective approach for screening and/or compliance

Keywords： automated solid-phase extraction     programmed-temperature vaporization     large-volume injection     gas chromatography    

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Large Scale Scanning Probe Microscope

Lu Xiaobo,Lu Zuhong,Zhou Qing,Wang Guozhu

Strategic Study of CAE 2004, Volume 6, Issue 9,   Pages 50-55

Abstract:

This paper introduces a type of large scale scanning probe microscope, which adopts the scheme ofthe separation of large scale scanning from high precise scanning, and the separation of X - Y scanningThe instrument has the advantages such as good repeatability, large scanning scale as well as high resolutionThe large scale scanning range is 220 mm × 290 mm × 60 mm and the repeatability is 2～3/&muauto-feeding of the probe, the auto-focusing of the optical microscope and the auto-mosaicking of the scanning

Keywords： scanning probe microscope     auto-feeding     auto-focusing     image mosaicking    

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Wide-Angle Scanning Antennas for Millimeter-Wave 5G Applications Article

Raj Mittra, Abdelkhalek Nasri, Ravi Kumar Arya

Engineering 2022, Volume 11, Issue 4,   Pages 60-73 doi: 10.1016/j.eng.2021.10.017

Abstract: Next, in the main body of the paper, we discuss two different strategies for designing scanning arrays, both of which circumvent the use of conventional phase shifters to achieve beam scanning.scans by using a reconfigurable metasurface type of panels.Graphical abstractA number of designs for scanningtwo-dimensional scans, by using reconfigurable metasurface type of panels to provide a wide-angle beam-scanningtechniques for enhancing the gain of the array to achieve gain levels as high as 30 dB, to render the scanning

Keywords： Luneburg lens     Scanning arrays     Millimeter-wave antennas     Switchable phase shifters     Reconfigurable metasurfaces    

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Study on retrieval algorithm of ocean parameters for the HY-2 scanning microwave radiometer

Wang Zhenzhan,Bao Jinghua,Li Yun,Shen Hua

Strategic Study of CAE 2014, Volume 16, Issue 6,   Pages 70-82

Abstract: wind speed，atmospheric water vapor content，atmospheric liquid water content and rain rate for the HY-2 scanning

Keywords： HY-2 satellite     scanning microwave radiometer     ocean parameter     retrieval algorithm    

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Crystal modification of rifapentine using different solvents

Kun ZHOU, Jun LI, Jianhong LUO, Dongsheng ZHENG,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 1,   Pages 65-69 doi: 10.1007/s11705-009-0302-6

Abstract: Scanning electron microscopy, X-ray powder diffractometry, infrared spectrometry, and differential scanningX-ray diffraction spectra and differential scanning calorimetry investigation on those developed crystals

Keywords： identical     scanning calorimetry     different     comparative dissolution     structure modification    

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Title Author Date Type Operation

A Portable Noncontact Profile Scanning System for Aircraft Assembly

Bing Liang, Wei Liu, Kun Liu, Mengde Zhou, Yang Zhang, Zhenyuan Jia

Journal Article

New kind of subarea-parallel scanning mode for laser metal deposition shaping

BIAN Hongyou, LIU Weijun, ZHAO Jibin

Journal Article

Analysis and comparison of laser cutting performance of solar float glass with different scanning modes

Wenyuan LI, Yu HUANG, Youmin RONG, Long CHEN, Guojun ZHANG, Zhangrui GAO

Journal Article

Review of MEMS differential scanning calorimetry for biomolecular study

Shifeng YU, Shuyu WANG, Ming LU, Lei ZUO

Journal Article

Automated synthesis of steady-state continuous processes using reinforcement learning

Journal Article

Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Journal Article

hardening performance of three-dimensionally-printed geopolymer based on lunar regolith simulant for automated

Journal Article

Programmable Adaptive Security Scanning for Networked Microgrids

Zimin Jiang, Zefan Tang, Peng Zhang, Yanyuan Qin

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Evaluation of automated in-line precision dairy farming technology implementation in three dairy farms

Maria CARIA, Giuseppe TODDE, Antonio PAZZONA

Journal Article

Determination of selected semi-volatile organic compounds in water using automated online solid-phase

Yongtao LI, Christina L. MCCARTY, Ed J. GEORGE

Journal Article

Large Scale Scanning Probe Microscope

Lu Xiaobo,Lu Zuhong,Zhou Qing,Wang Guozhu

Journal Article

Wide-Angle Scanning Antennas for Millimeter-Wave 5G Applications

Raj Mittra, Abdelkhalek Nasri, Ravi Kumar Arya

Journal Article

Study on retrieval algorithm of ocean parameters for the HY-2 scanning microwave radiometer

Wang Zhenzhan,Bao Jinghua,Li Yun,Shen Hua

Journal Article

Crystal modification of rifapentine using different solvents

Kun ZHOU, Jun LI, Jianhong LUO, Dongsheng ZHENG,

Journal Article