Topology optimization of energy absorbers under crashworthiness using modified hybrid cellular automata (MHCA) algorithm

2019 ◽  
Vol 60 (3) ◽  
pp. 1021-1034 ◽  
Author(s):  
Masoud Afrousheh ◽  
Javad Marzbanrad ◽  
Dietmar Göhlich
Keyword(s):  
Topology Optimization ◽  
Cellular Automata ◽  
Hybrid Cellular Automata ◽  
Energy Absorbers

Topology optimization for crashworthiness of thin-walled structures under axial impact using hybrid cellular automata

2016 ◽  
Vol 54 (3) ◽  
pp. 415-428 ◽  
Author(s):  
Fabian Duddeck ◽  
Stephan Hunkeler ◽  
Pablo Lozano ◽  
Erich Wehrle ◽  
Duo Zeng
Keyword(s):  
Topology Optimization ◽  
Cellular Automata ◽  
Axial Impact ◽  
Hybrid Cellular Automata ◽  
Thin Walled Structures ◽  
Thin Walled

Topology Optimization for Polymeric Foam Shock-Absorbing Structure Using Hybrid Cellular Automata

2014 ◽  
Vol 8 (3) ◽  
pp. 365-375 ◽  
Author(s):  
Wonho Lee ◽  
◽  
Jinhoon Kim ◽  
Changbae Park
Keyword(s):  
Topology Optimization ◽  
Cellular Automata ◽  
Computational Simulation ◽  
Optimization Method ◽  
Optimization Techniques ◽  
Mechanical Shock ◽  
Shock Absorption ◽  
Polymeric Foam ◽  
Hybrid Cellular Automata ◽  
Topology Optimization Method

Foam shock-absorbing structures such as cushioned packages are often utilized to protect various products from mechanical shock and vibration during transportation. The goal of packaging design engineers is to design a cushioned package structure that improves the shock-absorbing performance and minimizes the volume of the package. Some optimization techniques, combined with computational simulation, provide engineers with a way to design an optimal structure. In this paper, we propose a modified topology optimization method suitable for a polymeric foam shock-absorbing structure under dynamic drop loads in multiple directions. Our approach uses a heuristic topology optimization method, known as the Hybrid Cellular Automata (HCA). The HCA algorithm uniformly distributes internal energy density and controls the relative density of Cellular Automata (CAs) making up the design space. This allows the algorithm to maintain or increase the performance of shock absorption and to decrease the amount of material. In particular, this paper presents a modified Solid IsotropicMaterial with Penalization (SIMP) model for foam materials, which parameterizes the design region and interpolates the material properties. We attempt to optimize a simple bottom-cushioned package for a refrigerator by using the proposed foam SIMP model with commercial software: LS-DYNA for drop dynamic simulation and LS-OPT/Topology for the HCA algorithm. Drop simulation and topology optimization are performed considering multiple drop-directions. As a result, our method removes elements that are not related to the shock-absorption performance and provide an optimal cushioning structure using foam material.

scholarly journals Convergence analysis of hybrid cellular automata for topology optimization

2009 ◽  
Vol 40 (1-6) ◽  
pp. 271-282 ◽  
Author(s):  
C. L. Penninger ◽  
L. T. Watson ◽  
A. Tovar ◽  
J. E. Renaud
Keyword(s):  
Topology Optimization ◽  
Cellular Automata ◽  
Convergence Analysis ◽  
Hybrid Cellular Automata

Multi-Material Topology Optimization for Crashworthiness Using Hybrid Cellular Automata

2019 ◽  
Author(s):  
Sajjad Raeisi ◽  
Prasad Tapkir ◽  
Andres Tovar ◽  
Chandan Mozumder ◽  
Simon Xu
Keyword(s):  
Topology Optimization ◽  
Cellular Automata ◽  
Hybrid Cellular Automata

Topology Optimization of Piezoelectric Energy Harvesting Skin Using Hybrid Cellular Automata

2013 ◽  
Vol 135 (3) ◽  
Author(s):  
Soobum Lee ◽  
Andrés Tovar
Keyword(s):  
Topology Optimization ◽  
Energy Harvesting ◽  
Cellular Automata ◽  
Optimization Method ◽  
Piezoelectric Energy Harvesting ◽  
High Fidelity ◽  
Element Analysis ◽  
Hybrid Cellular Automata ◽  
Piezoelectric Energy ◽  
Interpolation Functions

An earlier study introduced the concept of piezoelectric energy-harvesting skin (EHS) to harvest energy by attaching thin piezoelectric patches onto a vibrating skin. This paper presents a methodology for the optimum design of EHS with the use of an efficient topology optimization method referred to as the hybrid cellular automaton (HCA) algorithm. The design domain of the piezoelectric material is discretized into cellular automata (CA), and the response of each CA is measured using high-fidelity finite-element analysis of a vibrating structure. The CA properties are parameterized using nonlinear interpolation functions that follow the principles of the SIMP model. The HCA algorithm finds the optimal densities and polarizing directions at each CA that maximize the output power from the EHS. The performance of this approach is demonstrated for the optimal design of EHS in two real-world case studies.

Multiscale topology optimization for non-uniform microstructures with hybrid cellular automata

2020 ◽  
Vol 62 (2) ◽  
pp. 757-770 ◽  
Author(s):  
Jiao Jia ◽  
Daicong Da ◽  
Cha-Liang Loh ◽  
Haibin Zhao ◽  
Sha Yin ◽  
...  
Keyword(s):  
Topology Optimization ◽  
Cellular Automata ◽  
Hybrid Cellular Automata

The Convergence and Algorithm Factors Analysis of Topology Optimization for Crashworthiness Based on Hybrid Cellular Automata

2012 ◽  
Author(s):  
LianShui Guo ◽  
Jun Huang ◽  
Xuan Zhou ◽  
Andres Tovar
Keyword(s):  
Topology Optimization ◽  
Cellular Automata ◽  
Structural Adaptation ◽  
Element Analysis ◽  
Hybrid Cellular Automata ◽  
Complex Interactions ◽  
Control Rules ◽  
Factors Analysis ◽  
Cantilevered Beam ◽  
Crashworthiness Design

Structural design for crashworthiness is a challenging area of research due to large plastic deformations and complex interactions among diverse components of the vehicle. A notable idea in topology optimization is the hybrid cellular automaton (HCA) method capable of topology synthesis for crashworthiness design. The HCA algorithm was inspired by the structural adaptation of bones to their ever changing mechanical environment. This methodology has been shown to be an effective topology synthesis tool. The objective of this investigation is to examine the convergence and algorithm factors analysis of topology optimization for crashworthiness based on hybrid cellular automata paradigm. The orthogonal test is also proposed to study the effects of the algorithm factors on the dependent variables of the structure with new optimized topology. To demonstrate the convergence properties influenced by factors of the HCA algorithm in dynamic problems, the HCA framework is developed to a methodology for crashworthiness, which combines transient, non-linear finite-element analysis and local control rules acting on cells, and some simple cantilevered beam examples are utilized.

Topology Optimization of Thermo-Mechanical Structure Using the Hybrid Celluar Automata Method

2013 ◽  
Vol 365-366 ◽  
pp. 111-116
Author(s):  
Jin Qing Zhan
Keyword(s):  
Topology Optimization ◽  
Cellular Automata ◽  
Optimization Problem ◽  
Control Law ◽  
Local Rule ◽  
Hybrid Cellular Automata ◽  
Material Volume ◽  
The Mean ◽  
Mean Compliance ◽  
Single Material

Topology optimization of thermo-elastic structures using the hybrid cellular automata method is investigated in this paper. The objective is to minimize the mean compliance of a structure with a single material volume constraint. The hybrid cellular automata method is used to solve the optimization problem. The local change in the design variable is determined by a local rule based on the proportional control law. The numerical example is presented to show the feasibility of the present approach.

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