Blar i NTNU Open på forfatter "Gao, Chao"
-
4D Printing Modeling - Layers structures: Preliminary optimization of shape memory polymers geometric parameters to enhance the thermal loads’ activation range
Cesarano, Francesco (Master thesis, 2022)I løpet av de siste tiårene har 3D-utskrift funnet anvendelser innen alle områder innen ingeniørkunst, alt fra elektronikk til biomedisinsk industri, på grunn av dens effektivitet i bruken av materialet i termer av ... -
Analytical Solutions and Advanced Software Simulation of Vibration Dampers
Guttormsen, Rasmus Møller (Master thesis, 2023)Denne masteroppgaven fokuserer på tre sentrale aspekter ved dempingsfenomener: viskøs væske, fjær/demperelementer i Abaqus og gummi-elementer. Væske-simuleringer analyseres ved hjelp av en teknikk der et objekt kan konverteres ... -
Application of machine learning in the prediction of FDM part distortion based on finite element simulation
Cortés Otero, Miguel (Master thesis, 2022)FDM er den mest utbredte teknologien av alle additive produksjonsteknikker i dag. De siste årene har mye blitt fornyet når det gjelder nye materialer for FDM-trykk og prosessforbedringer. Dette har gjort at FDM ikke bare ... -
Controlling toughness and strength of FDM 3D-printed PLA components through the raster layup
Kiendl, Josef; Gao, Chao (Journal article; Peer reviewed, 2020)We investigate the influence of raster layup on the resulting material properties of FDM 3D-printed materials made of PLA. In particular, we investigate the resulting toughness, strength, and stiffness, with a special focus ... -
Data-driven approach to design fatigue-resistant notched structures
Gao, Chao; Berto, Filippo; Wang, Qingbo (Peer reviewed; Journal article, 2022)Fatigue is the most common failure mode for engineering materials in various industrial applications. Generally, designing new products and components based on typical deterministic fatigue design approaches is slow and ... -
DATA-DRIVEN FATIGUELESS DESIGN OF ADDITIVELY MANUFACTURED NOTCHED COMPONENTS
Piovan, Daniele (Master thesis, 2021)Additive Manufacturing (AM) technologies allow researchers and companies to develop and build components in which the complexity is much higher compared to the components that traditional manufacturing processes, like ... -
Discrete Element Modeling of FDM Printed Specimens
Nisja, Georg Aarnes (Master thesis, 2021)FDM-teknologi har nylig vekket økt oppmerksomhet i industri og blant forbrukere. Det har derimot enda ikke sett utbredt bruk i strukturelle sammenhenger. I denne oppgaven testes discrete element method (DEM), som nylig har ... -
Experimental characterization and modeling of cylindrical CFRP structures under quasi-static multiaxial loading conditions
Duda, Szymon; Smolnicki, Michal; Stabla, Pawel; Zielonka, Pawel; Osiecki, Tomasz; Gao, Chao; Lesiuk, Grzegorz (Peer reviewed; Journal article, 2024)An experimental and numerical investigation of the cylindrical carbon fiber reinforced polymer (CFRP) structures under various loads including tension/torsion loading conditions has been conducted. Various boundary conditions ... -
Experimental Investigation of Thermal Passive-Reactive Sensors Using 4D-Printing and Shape-Memory Biopolymers
Cesarano, Francesco; Maurizi, Marco; Gao, Chao; Berto, Filippo; Penta, Francesco; Bertolin, Chiara (Peer reviewed; Journal article, 2022)The introduction of 4D printing has revolutionized the concept of additive manufacturing; it is a promising technology that can bring immense advantages over classical production and manufacturing techniques, such as ... -
Fracture resistance of 3D nano-architected lattice materials
Gao, Chao; Berto, Filippo; Maurizi, Marco; Greer, Julia R; Edwards, Bryce (Journal article, 2022)Exploiting small scale material effects and structural topology, nano-architected lattices represent a recent novel class of mechanical metamaterials, which exhibit unprecedented combination of mechanical properties. ... -
Interlocking mechanism design based on deep-learning methods
Maurizi, Marco; Gao, Chao; Berto, Filippo (Peer reviewed; Journal article, 2021)Biological structural systems such as plant seedcoats, beak of woodpeckers or ammonites shells are characterized by complex wavy and re-entrant interlocking features. This allows to mitigate large deformations and deflect ... -
Inverse design of truss lattice materials with superior buckling resistance
Maurizi, Marco; Gao, Chao; Berto, Filippo (Peer reviewed; Journal article, 2022)Manipulating the architecture of materials to achieve optimal combinations of properties (inverse design) has always been the dream of materials scientists and engineers. Lattices represent an efficient way to obtain ... -
Leveraging Surface Tension and Capillary Flow: Design Optimization for Exhaled Breath Condensate Transport in Inflammacheck Breathalyzers
Herrmann, Ole Emil; Meløysund, Alexander Norum (Master thesis, 2023)I denne masteroppgaven brukes en utforskende metode for å adressere utfordringen med å samle og transportere kondensert pust (EBC) effektivt i Inflammacheck® pust-analysatoren. Denne enheten, som er utviklet av Zimmer ... -
Leveraging Surface Tension and Capillary Flow: Design Optimization for Exhaled Breath Condensate Transport in Inflammacheck Breathalyzers
Herrmann, Ole Emil; Meløysund, Alexander Norum (Master thesis, 2023)I denne masteroppgaven brukes en utforskende metode for å adressere utfordringen med å samle og transportere kondensert pust (EBC) effektivt i Inflammacheck pust-analysatoren. Denne enheten, som er utviklet av Zimmer og ... -
Machinability of Low-Lead and Lead-Free Brass Alloys
Müller, Magdalena Susanne (Doctoral thesis, 2024) -
Machine learning-guided design of lattice structures
Tessari, Mattia (Master thesis, 2023)For decades, scientists and engineers have been striving to develop materials that are both light-weight and strong, stable, and resilient, with applications ranging from aerospace to the biomedical industry. While ... -
Machine-learning approach to design fatigue-resistant structure inspired by Pogonias cromis
Engen, Katinka (Master thesis, 2022)Atlanterhavsfisken Pagonias cromis har den høyeste bitekraften per vekt, men det nedre svelgkjevebenet som er ansvarlig for å knuse bløtdyr og skalldyr er relativt porøst sammenlignet med kortikalt bein funnet i pattedyr. ... -
Numerical assessment on a novel bio-inspired joint under complex loading.
Damiano, Luigi (Master thesis, 2024)For å møte etterspørselen etter stadig større overflater i arkitektonisk ingeniør- og konstruksjonsindustri (AEC), er forskningsinnsatsen rettet mot utvikling av forskjellige teknologiske løsninger for installasjon av ... -
Numerical investigation on the compressive behaviors of Islamic geometric patterns inspired architectured material
Marcon, Stefano (Master thesis, 2023)De bemerkelsesverdige mekaniske ytelsene til arkitektonerte materialer—komponert av nøye designet byggeklosser - har mottatt økende interesser fra vitenskap og ingeniørfag samfunnet de siste tiårene. Blant arkitektoniske ... -
Predicting stress, strain and deformation fields in materials and structures with graph neural networks
Maurizi, Marco; Gao, Chao; Berto, Filippo (Journal article; Peer reviewed, 2022)