Tianyu Huang
Northwestern University
Nonparametric statisticsSmoothing spline3D reconstructionDigital image correlationOrientation tensorRobot weldingFiller metalSheet moulding compoundFinite element methodMultiscale modelingFlash weldingHeat-affected zoneNanoparticleGroove (music)Nonlinear systemComposite materialRepresentative elementary volumeFailure rateWelding power supplyNanotechnologyNanocrystalMicroscale chemistryStructured-light 3D scannerLap jointBiological systemCompression moldingMetallurgyMaterials scienceModulusWeldingMethyl methacrylateWelding jointCelluloseStiffnessReconstruction algorithmModelling methodsMaterial propertiesUncertainty quantificationDesign elements and principlesHomogenization (chemistry)Computer scienceElectric resistance weldingMolding (process)Reliability (statistics)LaserPolymerFiber-reinforced compositeMolecular dynamicsFriction weldingCluster analysisProcess modelingDatabaseGrayscaleMechanical engineeringMotion planningLaser beam weldingSampling (statistics)NanocompositeToughness
9Publications
4H-index
82Citations
Publications 9
Newest
#1Tianyu Huang (NU: Northwestern University)H-Index: 4
#2Jiaying Gao (NU: Northwestern University)H-Index: 8
Last. Wei Chen (NU: Northwestern University)H-Index: 128
view all 7 authors...
Abstract We present a data-driven nonlinear uncertainty quantification and propagation framework to study the microstructure-induced stochastic performance of unidirectional (UD) carbon fiber reinforced polymer (CFRP) composites. The proposed approach integrates (1) microscopic image characterization, (2) stochastic microstructure reconstruction, and (3) efficient multiscale finite element simulations enabled by self-consistent clustering (SCA) analysis. To model the complex microstructural vari...
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In the paper, we present an integrated data-driven modeling framework based on process modeling, material homogenization, mechanistic machine learning, and concurrent multiscale simulation. We are interested in the injection-molded short fiber reinforced composites, which have been identified as key material systems in automotive, aerospace, and electronics industries. The molding process induces spatially varying microstructures across various length scales, while the resulting strongly anisotr...
2 Citations
#1Ke Zhang (SJTU: Shanghai Jiao Tong University)H-Index: 10
#2Minzhi Yan (SJTU: Shanghai Jiao Tong University)H-Index: 1
Last. Zhuguo Li (SJTU: Shanghai Jiao Tong University)H-Index: 28
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Abstract As to improve the accuracy, efficiency and flexibility of welding process, intelligent welding is an inevitable trend in the future. To realize the modeling of autonomous welding path planning to the spatial complex weld of large workpiece, we designed a weld path autonomous programming system based on laser structure light, which effectively obtained three-dimensional (3D) information of workpiece by multiple segment scanning, then extracted weld features by grayscale image processing,...
15 CitationsSource
#1Nitin K. Hansoge (NU: Northwestern University)H-Index: 4
#2Tianyu Huang (NU: Northwestern University)H-Index: 4
Last. Sinan Keten (NU: Northwestern University)H-Index: 34
view all 6 authors...
Matrix-free polymer-grafted nanocrystals, called assembled hairy nanoparticles (aHNPs), can significantly enhance the thermomechanical performance of nanocomposites by overcoming nanoparticle dispersion challenges and achieving stronger interfacial interactions through grafted polymer chains. However, effective strategies to improve both the mechanical stiffness and toughness of aHNPs are lacking given the general conflicting nature of these two properties and the large number of molecular param...
13 CitationsSource
#1Zhangxing Chen (Chongqing University)H-Index: 5
#2Tianyu Huang (NU: Northwestern University)H-Index: 4
Last. Xuming Su (Ford Motor Company)H-Index: 18
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Abstract Predicting the mechanical behavior of the chopped carbon fiber Sheet Molding Compound (SMC) due to spatial variations in local material properties is critical for the structural performance analysis but is computationally challenging. Such spatial variations are induced by the material flow in the compression molding process. In this work, a new multiscale SMC modeling framework and the associated computational techniques are developed to provide accurate and efficient predictions of SM...
24 CitationsSource
#1Nitin K. Hansoge (NU: Northwestern University)H-Index: 4
#2Tianyu Huang (NU: Northwestern University)H-Index: 4
Last. Sinan Keten (NU: Northwestern University)H-Index: 34
view all 6 authors...
#1Zhangxing Chen (Chongqing University)H-Index: 7
#2Yi Li (SJTU: Shanghai Jiao Tong University)H-Index: 2
Last. Xuming Su (Ford Motor Company)H-Index: 18
view all 11 authors...
2 CitationsSource
#1Tianyu Huang (SJTU: Shanghai Jiao Tong University)H-Index: 4
#2Li-Wen Fan (SJTU: Shanghai Jiao Tong University)H-Index: 1
Last. Ke Zhang (SJTU: Shanghai Jiao Tong University)H-Index: 10
view all 5 authors...
Laser welding with filler wire, performed by welding robots, provides high stability and efficiency for welding thick plates used in shipbuilding, electrical engineering and nuclear industry. The route planning methodology is of central importance in this process. Firstly, build a welding system suitable for thick plate laser building with filler wire. Then, establish a strategy on the principle that the cross section areas of the welding beads are equal under same welding parameters, parallelog...
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#1Hao Shi (SJTU: Shanghai Jiao Tong University)H-Index: 3
#2Ke Zhang (SJTU: Shanghai Jiao Tong University)H-Index: 10
Last. Weining Bao (SJTU: Shanghai Jiao Tong University)H-Index: 1
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Laser welding of thick plates has been used in automobile and shipping industry owing to its focusing heat input, little welding deformation, and high productivity. Using narrow-gap technique can decrease the filling volumes of wire and increase the welding efficiency. However, its process is more complicated since it introduces filler wire to narrow-gap weld configurations. Usually the welding path, planning mainly depends on man’s experiences. Human factors have big influences on the quality o...
21 CitationsSource