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Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting Article

Jia Shi, Jinchun Song, Bin Song, Wen F. Lu

Engineering 2019, Volume 5, Issue 3,   Pages 586-593 doi: 10.1016/j.eng.2018.12.009

Abstract:

Drop-on-demand (DOD) bioprinting has been widely used in tissue engineering due to its highthroughputThese challenges reduce the stability and precision of DOD printing, disorder cell arrays, and henceIn this paper, a multi-objective optimization (MOO) design method for DOD printing parameters throughThe proposed method can improve both printing precision and stability, and is useful in realizing preciseFurthermore, it can be used to obtain guidelines for the setup of cell-printing experimental platforms

Keywords： Drop-on-demand printing     Inkjet printing     Gradient descent multi-objective optimization     Fully connected    

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Flocculation behaviors of a novel papermaking sludge-based flocculant in practical printing and dyeing

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-021-1390-x

Abstract:

•PSBF performed better than PAC and PAM in CODCr removals.

Keywords： treatment     Commercial coagulant/flocculant     Secondary coagulation-flocculation process     Chemical oxygen demand    

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CFD evaluation of pressure drop across a 3-D filter housing for industrial gas turbine plants

Fidelis I. ABAM,Samuel O. EFFIOM,Olayinka S. OHUNAKIN

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 192-202 doi: 10.1007/s11708-016-0406-x

Abstract: This paper investigated the flow distribution and total pressure drop across a designed 3-D filter housingThe results obtained indicated an acceptable total pressure drop of 7.2% for the entire filter housing

Keywords： computational fluid dynamics (CFD)     pressure drop     flow distribution     filter housing     gas turbine    

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A biofilter model for simultaneous simulation of toluene removal and bed pressure drop under varied inlet

Jinying XI,Insun KANG,Hongying HU,Xian ZHANG

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3,   Pages 554-562 doi: 10.1007/s11783-014-0671-z

Abstract: developed to simultaneously predict the Volatile Organic Compounds (VOCs) removal and filter bed pressure dropspecific surface area of the filter bed and the thickness of water layer, while the filter bed pressure dropThe calculated toluene removal efficiency and bed pressure drop satisfactorily fit the experimental dataloadings, which indicates the model in this study can be used to predict VOCs removal and bed pressure drop

Keywords： Volatile Organic Compounds (VOCs)     biofilters     modelling     biomass accumulation     pressure drop    

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A potentiometric cobalt-based phosphate sensor based on screen-printing technology

Lei ZHU,Xiaohong ZHOU,Hanchang SHI

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6,   Pages 945-951 doi: 10.1007/s11783-013-0615-z

Abstract: A potentiometric cobalt-based screen-printing sensor was fabricated by electroplating cobalt on the surfaceof a screen-printing electrode as the sensitive layer for the determination of dihydrogenphosphate (

Keywords： phosphate     cobalt     screen-printing technology     electroplate     wastewater    

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forces on rheological properties, and resulting extrudability and constructability of three-dimensional printing

Frontiers of Structural and Civil Engineering   Pages 1295-1309 doi: 10.1007/s11709-023-0999-1

Abstract: are two important, yet contradictory issues pertaining to the construction of three-dimensional (3D) printingExtrudability is easily achieved when 3D printing cement mortar has a high water content and low cohesionHowever, a 3D printing cement mortar with a low water content and high cohesion has a relatively stableThis study proposes a particle-based method to simulate 3D printing mortar extrusion and constructionbridge forces on rheological properties and the resulting extrudability and constructability of 3D printing

Keywords： particle-based simulation     liquid bridge force     rheological property     3D printing mortar     extrudability    

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Ultrasound-assisted emulsification solidified floating organic drop microextraction for the determination

Qingyun CHANG, Jingwen ZHANG, Xin DU, Jingjun MA, Jingci LI,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 2,   Pages 187-195 doi: 10.1007/s11783-010-0030-7

Abstract: (LPME) technique was developed using ultrasound-assisted emulsification solidified floating organic drop

Keywords： ultrasound-assisted emulsification     solidified floating organic drop microextraction     flame atomic absorption    

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Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 184-191 doi: 10.1007/s11465-009-0034-9

Abstract: A location system is very important for solder paste printing in the process of surface mount technologyThis paper presents an integrated visual location system for solder paste printing based on machine visionThe working principle of solder paste printing is introduced and then the design and implementation of

Keywords： machine vision     visual location     solder paste printing     VisionPro    

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Liquid metal printing opening the way for energy conservation in semiconductor manufacturing industry

Frontiers in Energy 2022, Volume 16, Issue 4,   Pages 542-547 doi: 10.1007/s11708-022-0834-8

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Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 75-90 doi: 10.1007/s11708-014-0337-3

Abstract: The weight parameters of the neural network were optimized by intelligent water drop (IWD) to improve

Keywords： islanding detection     neuro-wavelet     intelligent water drop (IWD)     non-detection zone (NDZ)     distributed generation    

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The investigation of pressure drop in moving-beds

CHEN Yunhua, ZHU Xuedong, WU Yongqiang, ZHU Zibin

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 2,   Pages 184-189 doi: 10.1007/s11705-007-0034-4

Abstract: The pressure drop of a cross-flow moving-bed was investigated in a two-dimensional rectangular apparatusvelocity, the formation and development of cavity/raceway and voidage of particles on the pressure dropThe experimental results show that the particle velocity has little influence on the pressure drop, whileThe development of a cavity or a raceway can result in three types of variations of pressure drop withOn the basis of experimental results, a model for calculating the pressure drop after a cavity occurs

Keywords： development     cross-flow velocity     superficial     qualitative account     stabilization    

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Additive Manufacture of Ceramics Components by Inkjet Printing Review

Brian Derby

Engineering 2015, Volume 1, Issue 1,   Pages 113-123 doi: 10.15302/J-ENG-2015014

Abstract:

In order to build a ceramic component by inkjet printing, the object must be fabricated through theWe can identify the processes by which these drops interact to form linear features during printing,Despite these uncertainties, there have been a large number of reports on the successful use of inkjet printing

Keywords： additive manufacture     3D printing     inkjet printing     ceramic components    

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Research progress in robust design of products, drop impact strength

Yang Shuyi,Liu Deshun,Zhao Jiyun,Wen Zejun

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 61-66

Abstract:

Drop impact is an phenomena that object movement state arises sharp change

Keywords： drop impact     crashworthiness     robust design    

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Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management   Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSSWhile researchers have mainly focused on improving prediction accuracy and analysing demand-influencingUsing Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified thesome stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demandFindings from this study provide more fundamental understanding of BSS demand prediction, which can help

Keywords： bike share systems     demand prediction     prediction errors     machine learning     entropy    

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Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 204-212 doi: 10.1007/s11783-011-0364-9

Abstract: A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demandIn the demand coverage method, the demand coverage of each set of monitoring stations is calculated byaccumulating their demand coverage under each demand pattern, and the impact of temporal distributionbetween different time periods or demand patterns is ignored.To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method.

Keywords： demand coverage     monitoring     optimization     water distribution network     water quality    

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Title Author Date Type Operation

Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting

Jia Shi, Jinchun Song, Bin Song, Wen F. Lu

Journal Article

Flocculation behaviors of a novel papermaking sludge-based flocculant in practical printing and dyeing

Journal Article

CFD evaluation of pressure drop across a 3-D filter housing for industrial gas turbine plants

Fidelis I. ABAM,Samuel O. EFFIOM,Olayinka S. OHUNAKIN

Journal Article

A biofilter model for simultaneous simulation of toluene removal and bed pressure drop under varied inlet

Jinying XI,Insun KANG,Hongying HU,Xian ZHANG

Journal Article

A potentiometric cobalt-based phosphate sensor based on screen-printing technology

Lei ZHU,Xiaohong ZHOU,Hanchang SHI

Journal Article

forces on rheological properties, and resulting extrudability and constructability of three-dimensional printing

Journal Article

Ultrasound-assisted emulsification solidified floating organic drop microextraction for the determination

Qingyun CHANG, Jingwen ZHANG, Xin DU, Jingjun MA, Jingci LI,

Journal Article

Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Journal Article

Liquid metal printing opening the way for energy conservation in semiconductor manufacturing industry

Journal Article

Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

Journal Article

The investigation of pressure drop in moving-beds

CHEN Yunhua, ZHU Xuedong, WU Yongqiang, ZHU Zibin

Journal Article

Additive Manufacture of Ceramics Components by Inkjet Printing

Brian Derby

Journal Article

Research progress in robust design of products, drop impact strength

Yang Shuyi,Liu Deshun,Zhao Jiyun,Wen Zejun

Journal Article

Understanding the demand predictability of bike share systems: A station-level analysis

Journal Article

Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Journal Article