Browsing NTNU Open by Author "Sun, Li"
Now showing items 1-10 of 10
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A new method to estimate the residual stresses in additive manufacturing characterized by point heat source
Sun, Li; Ren, Xiaobo; He, Jianying; Olsen, Jim Stian; Pallaspuro, Sakari; Zhang, Zhiliang (Journal article; Peer reviewed, 2019)Residual stress in additive manufacturing (AM) is one of the key challenges in terms of structural integrity and finish quality of printed components. Estimating the residual stress distribution on additively manufactured ... -
A bead sequence-driven deposition pattern evaluation criterion for lowering residual stresses in additive manufacturing
Sun, Li; Ren, Xiaobo; He, Jianying; Zhang, Zhiliang (Peer reviewed; Journal article, 2021)Deposition patterns can significantly influence the distribution and magnitude of residual stress in additively manufactured parts. Time-consuming thermal-mechanical simulations and costly experimental studies are often ... -
Comparative study of deposition patterns for DED-Arc additive manufacturing of Al-4046
Köhler, Markus; Sun, Li; Hensel, Jonas; Pallaspuro, Sakari; Kömi, Jukka; Dilger, Klaus; Zhang, Zhiliang (Peer reviewed; Journal article, 2021)Quality assurance is one of the largest challenges to the widespread adoption of metal additive manufacturing technology. Printing pattern can significantly impact the temperature distribution during manufacturing process ... -
Grain refinement of Ti6Al4V by incorporating in-situ TiB nanowhiskers in laser melting deposition
Fu, Ke; liu, yuyu; Wang, Yeqing; Xu, Zhe; Jiang, Wei; Chen, Zheng; Liu, Siqi; Sun, Li; Zhang, Zhiliang; He, Jianying (Journal article; Peer reviewed, 2023)One of the known problems in laser melting deposition (LMD) of alloys is columnar grain morphology and large grain size. Adding reinforcements is generally suggested as a viable approach to tailor the microstructure and ... -
Melting cell based compensated design method for improving dimensional accuracy of additively manufactured thin channels
Sun, Li; Ren, Xiaobo; He, Jianying; Zhang, Zhiliang (Peer reviewed; Journal article, 2020)Powder-bed fusion additive manufacturing technology makes it possible to produce parts with complicated geometry and high accuracy. However, dimensional deviation caused by powder overmelting and dross formation is still ... -
Numerical investigation of a novel pattern for reducing residual stress in additive manufacturing
Sun, Li; Ren, Xiaobo; He, Jianying; Zhang, Zhiliang (Journal article; Peer reviewed, 2020)Deposition patterns can significantly affect residual stress distribution in additive manufacturing processes. In this paper, a novel deposition pattern, the S-pattern, is proposed for the additive manufacturing process. ... -
Predicting Thermal Fields in Additive Manufacturing by FEM simulations and Machine Learning
Ness, Kari Lovise (Master thesis, 2021)Additiv tilvirkning ("3D-printing") er en type produksjonsteknologi i kraftig vekst som gir nye muligheter for produksjon av 3D-produkter i industrien. Produktene produseres ved å tilføye tynne lag med råstoff som blir ... -
Repetitive control-based phase voltage modulation amendment for FOC-based five-phase PMSMs under single-phase open fault
Tian, Bing; Sun, Li; Molinas Cabrera, Maria Marta; An, Quntao (Peer reviewed; Journal article, 2020)This article investigates the most elementary phase voltage modulation (PVM) for a more generic five-phase permanent magnet synchronous motor drive under a single-phase open fault. Most works on this topic are intended for ... -
Residual stresses and dimensional deviation in metal additive manufacturing: prediction and mitigation methods
Sun, Li (Doctoral theses at NTNU;2020:411, Doctoral thesis, 2020)Additive manufacturing (AM) has attracted wide attention over the past years due to its various advantages, such as design freedom, less production cost, and short production cycles. However, residual stresses and dimensional ... -
Towards a generic physics-based machine learning model for geometry invariant thermal history prediction in additive manufacturing
Ness, Kari Lovise; Paul, Arindam; Sun, Li; Zhang, Zhiliang (Peer reviewed; Journal article, 2022)Additive manufacturing (AM) is an emerging manufacturing technology that constructs complex parts through layer-by-layer deposition. The prediction and control of thermal fields during production of AM parts are of crucial ...