Topology optimization accounting for surface layer effects

Suresh, Shyam; Thore, Carl‐Johan; Torstenfelt, Bo; Klarbring, Anders

doi:10.1007/s00158-020-02644-x

Cited by 7 publications

(3 citation statements)

References 13 publications

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“…If such interactions are not considered until late phases of product development, this may lead to necessary revisions in the design and, thus, to additional costs [37]. Clausen et al [38] and Suresh et al [39] investigated such interactions and integrated these in a topology optimization.…”

Section: Introductionmentioning

confidence: 99%

Process-Specific Topology Optimization Method Based on Laser-Based Additive Manufacturing of AlSi10Mg Components: Material Characterization and Evaluation

Czink

Holoch²,

Renz³

et al. 2023

Processes

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In the laser powder bed fusion process (PBF-LB), components are built up incrementally by locally melting metal powder with a laser beam. This process leads to inhomogeneous material properties of the manufactured components. By integrating these specific material properties into a topology optimization algorithm, product developers can be supported in the early phases of the product development process, such as design finding. For this purpose, a topology optimization method was developed, which takes the inhomogeneous material properties of components fabricated in the PBF-LB process into account. The complex pore architecture in PBF-LB components was studied with micro-computed tomography (µCT). Thereby, three characteristic regions of different porosity were identified and analyzed. The effective stiffness in each of these regions was determined by means of resonant ultrasonic spectroscopy (RUS) as well as finite element analysis. Afterward, the effective stiffness is iteratively considered in the developed topology optimization method. The resulting design proposals of two optimization cases were analyzed and compared to design proposals derived from a standard topology optimization. To evaluate the developed topology optimization method, the derived design proposals were additionally manufactured in the PBF-LB process, and the characteristic pore architecture was analyzed by means of µCT.

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Section: Introductionmentioning

confidence: 99%

Process-Specific Topology Optimization Method Based on Laser-Based Additive Manufacturing of AlSi10Mg Components: Material Characterization and Evaluation

Czink

Holoch²,

Renz³

et al. 2023

Processes

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“…However, this kind of method cannot be reversibly regulated. Active methods are mainly driven by light, heat, magnetic field, and electric field, among which magnetic field and electric field are the most widely studied. − These two methods have been successfully applied in the fields of microfluidics, biomedicine, and so on. − However, they have special requirements for materials, and there are still some shortcomings; for example, the magnetic control method requires the fluid to be magnetic, and electrowetting has large hysteresis. , …”

Section: Introductionmentioning

confidence: 99%

Controllable Flowing of a Dielectric Fluid Droplet under the Action of Corona Discharge

Zhou

Pan²,

Guo

et al. 2021

Langmuir

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Polymer microfluidic technology is widely used in chemistry, biology, medicine, nanoparticles synthesis, and other fields. In this article, we introduce a novel method for the controllable flowing of dielectric fluid droplets. Under the action of corona discharge, the dielectric fluid droplet can be controllably driven to one or more conductive plate electrodes that are connected to the negative electrode on the substrate. Phenomena of polymerization, migration, and separation and merger are experimentally verified in detail, and the spreading speeds and steady-state time are discussed. The experimental results show that the proposed method is accurate and controllable.

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“…6. The work presented in [47] proposes a novel TO approach that incorporates surface layer effects by assigning distinct material properties to bulk and surface regions.…”

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confidence: 99%

Developments of Topology Optimization Methods for Additive Manufacturing involving High-cycle Fatigue

Suresh

2023

Linköping Studies in Science and Technology. Dissertations

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This Doctoral thesis builds upon the research conducted in my Licentiate thesis [45], and was carried out at the division of Solid Mechanics in Linköping University. The work was performed within the Centre for Additive Manufacturing-Metal (CAM 2 ), which was funded by Sweden's Innovation Agency through grant agreement No 2016-05175.I wish to extend my heartfelt appreciation to my primary supervisor, Professor Anders Klarbring and my co-supervisors, Dr. Stefan Lindström, Dr. Carl-Johan Thore, and Dr. Bo Torstenfelt, for their unwavering support, guidance, and expertise throughout this project. Their invaluable feedback, encouragement, and patience were instrumental in my research and writing process.Additionally, I am grateful to all my colleagues at Linköping University for their support and engaging conversations, both related to work and other topics.Finally, I am deeply grateful to my family, my lovely wife Priya and our daughter Rithu, for all their unconditional support and sacrifices they have made for my life in general.

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Topology optimization accounting for surface layer effects

Cited by 7 publications

References 13 publications

Process-Specific Topology Optimization Method Based on Laser-Based Additive Manufacturing of AlSi10Mg Components: Material Characterization and Evaluation

Process-Specific Topology Optimization Method Based on Laser-Based Additive Manufacturing of AlSi10Mg Components: Material Characterization and Evaluation

Controllable Flowing of a Dielectric Fluid Droplet under the Action of Corona Discharge

Developments of Topology Optimization Methods for Additive Manufacturing involving High-cycle Fatigue

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