Topology optimization for lightweight cellular material and structure simultaneously by combining SIMP with BESO

Huang, Qiao; Wang, Shijie; Zhao, Tiejun; Tang, H.N.

doi:10.1007/s12206-019-0127-2

Cited by 15 publications

(6 citation statements)

References 24 publications

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“…The first method is density-based approach, which also known as generative design and achieves optimal mass distribution employing sophisticated algorithms, such as SIMP and BESO. [8] Generative design is mainly employed to lightweight applications and to applications where the aesthetic of the product needs to be improved. [9,10] The other method of TO is named as truss-based approach and attain the optimal mass distribution replacing solid regions of a part with lattice structures with specific relative density.…”

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confidence: 99%

Effective Mechanical Properties of Additive Manufactured Strut‐Lattice Structures: Experimental and Finite Element Study

et al. 2021

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Last decade, the scientific interest concerning the additive manufacturing (AM) technologies, as also known 3D printing, has been spiked leading to a rapid progress in this specific scientific field. Today, there are at least eight different AM techniques according to the ASTM F2792-12A standardization, [1] which are capable to fabricate products with a vast variety of materials, such as polymers, resins, metals, etc. Therefore, AM methods currently are employed in various applications, that is, in automotive, aeronautic, and biomechanical industries. [2][3][4] The rapid fabrication of prototypes (rapid prototyping, PR), the fast production of hard and soft tools (rapid tooling) and even the manufacture of fully functional components in a short-time period (direct manufacturing, DM) have been achieved through the utilization of these processes. [5,6] However, the major advantage of AM procedures is the ability to deliver complex structures without geometrical restrictions. This facilitated the development of TO processes and removed the structural constrains that occurred in traditional manufacturing techniques, such as machining, injection molding, etc. TO term stands for the procedure that achieves the optimum mass distribution to handle the applying loads in an already defined volume domain. [7] There are two distinct methods for TO. The first method is density-based approach, which also known as generative design and achieves optimal mass distribution employing sophisticated algorithms, such as SIMP and BESO. [8] Generative design is mainly employed to lightweight applications and to applications where the aesthetic of the product needs to be improved. [9,10] The other method of TO is named as truss-based approach and attain the optimal mass distribution replacing solid regions of a part with lattice structures with specific relative density. [11] A numerous of additional advantages may be acquired employing this approach besides the lightweight applications. More specifically, with truss-based methods it is possible to fabricate items with high porosity and high surface area to volume ratio, suitable for biomechanical and mechanical application, such as synthetic bones, turbine blades, etc. [12,13] Due to the aforementioned comprehensive advantages of the truss-based approach, extensive research has been performed on cellular materials and lattice structures. One of the first indepth researches on the topic has been performed by Gisbon and Ashby. [14] In their studies, they investigated 2D and 3D strut-lattice structures, such as honeycomb, octet, etc., in terms

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confidence: 99%

Effective Mechanical Properties of Additive Manufactured Strut‐Lattice Structures: Experimental and Finite Element Study

et al. 2021

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“…maximum stiffness). Taking compliance minimization as the objective, the density of the structure unit as the design variable and the volume fraction as the constraint condition, the mathematical model of singlecondition topology optimization based on the solid isotropic material with penalization theory (SIMP) is described as follows [28][29][30][31]:…”

Section: B Multi-objective Topology Optimization Methodsmentioning

confidence: 99%

Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process

Qiao¹,

Xu²,

Wu³

et al. 2020

IEEE Access

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The electric truck frame as a vital load-bearing component has aroused growing attentions due to its enormous potential in lightweight. However, few systematic studies have been performed on the multi-objective topological design of the frame attributable to its complexity on loading and conflicting objectives. This paper aims to develop a multi-objective topology optimization strategy of the electric truck frame based on the hybrid decision making method combining orthogonal test design (OTD) and analytic hierarchy process (AHP). The hybrid strategy is performed to obtain a new set of weight ratio combination from objective data and subjective judgment. The topological results show that the overall performance of the optimal frame is better than any of the methods applied alone. By comparing, it is found that the strength and stiffness of the optimal frame is higher than that of the original frame from the perspective of static conditions, and the low-order natural frequency of the optimal frame is significantly improved. It demonstrates that the proposed approach could be as an effective tool for multi-objective topology optimization of the electric truck frame in seeking lightweight and comprehensive mechanical performance. The hybrid strategy might be expected to provide some guidance for more complicated engineering problems. INDEX TERMS Electric truck frame, multi-objective design, topology optimization, orthogonal test, analytic hierarchy process.

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“…An improved topology optimization approach named adaptive bubble method (ABM) was proposed to overcome the shortcomings of the traditional bubble method, such as the frequent remeshing operation and the tedious merge process of holes [91]. Recently, an algorithm [92] combining solid isotropic material with penalty (SIMP) and bidirectional evolutionary structure optimization (BESO) was proposed, while topological optimization of lightweight cellular materials and structures. An example of a simple support beam and a cantilever beam demonstrates the effectiveness of the method, but the method assumes the uniqueness of the microstructure of the lightweight porous material, which is somewhat idealized and is not conducive to actual demand.…”

Section: Topology Lightweightmentioning

confidence: 99%

Lightweight Research in Engineering: A Review

Jiao

et al. 2019

Applied Sciences

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In the field of mechanical equipment manufacturing, the focus of research and development is not on weight reduction, but on how to choose between the rigidity and performance of components (such as strength or flexibility). For this contradiction, lightweight is one of the best solutions. The problems associated with lightweight were initially considered and systematically studied in aircraft manufacturing in engineering. Therefore, lightweight has been greatly developed in aviation research and has played an increasingly important role in construction machinery. This paper presents a brief description of the current status of lightweight in machinery by reviewing some significant progress made in the last decades. Potential research topics are also discussed from the four aspects of material, structure, bionics, and manufacturing, and they forecast the development trend of lightweight in the future construction machinery. The entire body of literature about the field is not covered due to the limitation of the length of paper. The scope of this review is limited and closely related to the development of lightweight technology in engineering applications.

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Topology optimization for lightweight cellular material and structure simultaneously by combining SIMP with BESO

Cited by 15 publications

References 24 publications

Effective Mechanical Properties of Additive Manufactured Strut‐Lattice Structures: Experimental and Finite Element Study

Effective Mechanical Properties of Additive Manufactured Strut‐Lattice Structures: Experimental and Finite Element Study

Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process

Lightweight Research in Engineering: A Review

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