Topology optimization using solid isotropic material with penalization technique for additive manufacturing

Krishna, L. Siva Rama; Mahesh, Natrajan; Sateesh, N.

doi:10.1016/j.matpr.2017.01.163

Cited by 37 publications

(15 citation statements)

References 5 publications

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“…For instance, the need for sustaining increased mechanical stress in some parts of a construct more than in others can result in a porous structure with variable density. Among the most used TO approaches, SIMP [92], BESO [93], and level-set [94] can support the design of differentially dense and stiff structures. In [95] authors leverage TO on the performance of a chitosan hydrogel bioprinted soft actuator while maintaining the material's volume fraction.…”

Section: Scaffoldsmentioning

confidence: 99%

Computational Methods for Biofabrication in Tissue Engineering and Regenerative Medicine - a literature review

Bardini

Carlo

2023

Preprint

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Biofabrication is the generation of biologically functional products from living cells and biomaterials through bioprinting and subsequent maturation processes. Technological and scientific domains are underlying biofabrication ranging from biology to automated manufacturing and culture systems. Among its application domains, Tissue Engineering and Regenerative Medicine poses strict quality requirements for biofabrication, requiring fast and disruptive innovation for processes and products to comply. Innovation in biofabrication is slow and incremental, relying on R&D processes that are inefficient (slow, risky, and costly), ineffective (products have sub-optimal quality), and challenging to replicate. While automation and digitalization support process execution, design, and innovation, they often work as tools for empirical, problem-specific, and operator-dependent approaches. On the other hand, computational approaches support biofabrication process modeling, design, and optimization of experimental activity to improve the quality of processes and products. To express their full potential, computational methods must factor in the biological complexity underlying biofabrication. This review analyzes computational approaches to biofabrication process modeling, design, and optimization with a focus on solutions explicitly accounting for biological complexity.

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Section: Scaffoldsmentioning

confidence: 99%

Computational Methods for Biofabrication in Tissue Engineering and Regenerative Medicine - a literature review

Bardini

Carlo

2023

Preprint

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“…There are various computer simulations for the AM processes-particularly on the different manufacturing stages. These include simulations for (i) part design (38)(39)(40)(41)(42) , (ii) determining the placement of multiple parts in the building space (i.e., build envelope), and (iii) the design of supports (43) . There are also simulations for (iv) the analysis of residual strain caused by thermal stress (44) , (v) the feeding of raw materials such as wire and powder, (vi) the process of melting and fusing the powder using LBs (45) , and electron beams (EBs) (46)(47)(48) , and (vii) microstructure formation through crystal growth and phase transformation during solidification and subsequent cooling processes (28,(48)(49)(50)(51) (52) .…”

Section: Computer Simulations Of the Pbf Processmentioning

confidence: 99%

Digital Twin Science of Metal Powder Bed Fusion Additive Manufacturing: A Selective Review of Simulations for Integrated Computational Materials Engineering and Science

Okugawa

2022

ISIJ Int.

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A digital twin (DT) is a cyberspace replica of a system, such as manufacturing equipment. A DT consists of statistical models and computer simulations of physical phenomena occurring in the system. The modeling is adjusted to the system based on signals from sensors attached to the system and their temporal changes. In general, a DT is utilized to (i) predict phenomena occurring in the system, (ii) optimize control parameters, and (iii) estimate part replacement schedules. We propose to use a DT to elucidate the unique solidification phenomena occurring in a type of metal 3D printing (i.e., additive manufacturing: AM) process. Thus, we propose that applications of DT that obtain scientific data be referred to as "digital twin science (DTS)." This paper first reviews the fundamental of the AM process, particularly powder bed fusion (PBF) and relevant computer simulations, and then studies on computer simulations conducted to elucidate the relationship between the extreme conditions characteristic of the PBF process and solidification microstructures. The findings achieved by the DTS approach indicate that the combination of experimental and simulation data aid the future development of techniques to obtain required microstructures exhibiting desired properties.

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“…For structural topology optimization, a common method is called the solid isotropic material with penalization (SIMP) approach [31]. Material properties are modeled as the relative material density.…”

Section: Binary Topology Optimization Of the Pmpicmentioning

confidence: 99%

Binary-Like Topology Optimization of Piezoelectric Metamaterial Plate with Interface Circuits Using Extended Plane Wave Expansion Method

2021

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Piezoelectric metamaterial plate (PMP) is being investigated for structural vibration energy harvesting (SVEH), in which an interface circuit is often used. Thus, it is a challenge to perform bandgap optimization of such an elastic–electro–mechanical coupling system. This paper presents a binary-like topology optimization scheme by dividing the unit cell into identical pieces, where a {0, 1} matrix is optimized to indicate material distribution. Firstly, a unified motion equation is derived for the elastic plate and the piezoelectric patch, and an electromechanical coupling model is built for a self-powered synchronized charge extraction circuit. Then, an extended plane wave expansion method is presented to model the bandgap character of the PMP with interface circuits (PMPICs), and the numerical solution of the dispersion curves is derived based on the Bloch theorem. Next, an extended genetic algorithm is applied for the topology optimization of the PMPIC. In the end, numerical and finite element simulations are performed to validate the proposed method. The results demonstrate that both the structure and the circuit can be optimized simultaneously to obtain the maximum first-order bandgap at a given central frequency. Therefore, the proposed method should provide an effective solution for the topology optimization of a PMPIC for broadband SVEH.

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Topology optimization using solid isotropic material with penalization technique for additive manufacturing

Cited by 37 publications

References 5 publications

Computational Methods for Biofabrication in Tissue Engineering and Regenerative Medicine - a literature review

Computational Methods for Biofabrication in Tissue Engineering and Regenerative Medicine - a literature review

Digital Twin Science of Metal Powder Bed Fusion Additive Manufacturing: A Selective Review of Simulations for Integrated Computational Materials Engineering and Science

Binary-Like Topology Optimization of Piezoelectric Metamaterial Plate with Interface Circuits Using Extended Plane Wave Expansion Method

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