作者Gobal, Arash
ProQuest Information and Learning Co
University of California, Davis. Mechanical and Aerospace Engineering
書名An Adaptive Discrete Element Method for Physical Modeling of the Selective Laser Sintering Process
出版項2017
說明1 online resource (112 pages)
文字text
無媒介computer
成冊online resource
附註Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B
Adviser: Bahram Ravani
Thesis (Ph.D.) University of California, Davis 2017
Includes bibliographical references
Additive Manufacturing (AM) has recently risen to the forefront of research and development of manufacturing industries as it provides engineers with unique capabilities that are completely unheard of in subtractive manufacturing systems. Properties such as the fabrication of complex, otherwise not-manufacturable, structures and non-expensive low-volume fabrication have helped additive manufacturing to climb the popularity ladder in such a way that it is sometimes even referred to as "The third industrial revolution". The main distinction between AM and subtractive manufacturing technologies (milling, etc.) is that instead of cutting material from a solid block, AM systems fabricate the end-use products directly in an additive, layer-wise fashion
Selective Laser Sintering (SLS) is categorized as a Powder Bed Fusion (PBF) process. PBF processes are a distinct class of AM systems that use powders as their raw material and use a laser/electron beam to fuse the powders together and fabricate the final product. Powdered metals and ceramics are two of the major raw materials used in PBF processes, resulting in a high demand for industry-scale PBF machines. Therefore, characterization of these processes is a research topic worth exploring
This dissertation presents a comprehensive approach for addressing the ongoing issues in the field of physical modeling of powder bed fusion additive manufacturing processes. In this work, an adaptive discrete element method is proposed for thermo-mechanical simulation of powdered material during the selective laser sintering process. By adding adaptive refinement to the conventional particle level discrete element model, the developed model gets equipped with the capability of improving the simulation speed while maintaining the computational accuracy of the conventional DEM. Empirical models for fusion of powder particle under the influence of the laser beam is also included in the simulation. Moreover, a homogenization technique based on the results of the developed thermo-mechanical method is presented that has the potential of calculating the elastic properties of SLS products. The developed models have been validated, showing that their results follow the expected trends
This dissertation is an effort in creating a much needed physical modeling tool for complete virtual manufacturing and testing of SLS products. Further development of this idea could significantly increase the impact of AM technologies in a wide range of industrial applications
Electronic reproduction. Ann Arbor, Mich. : ProQuest, 2018
Mode of access: World Wide Web
主題Mechanical engineering
Management
Electronic books.
0548
0454
ISBN/ISSN9780355151800
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