scholarly journals THERMAL TOPOLOGY OPTIMIZATION DESIGN OF SPINDLE STRUCTURE WITH A HYBRID CELLULAR AUTOMATON METHOD

2019 ◽  
Vol 13 ◽  
Author(s):  
Xiaolei Deng ◽  
Jin Wang ◽  
Hongcheng Shen ◽  
Jinyu Zhou ◽  
Jianchen Wang ◽  
...  
Keyword(s):  
Topology Optimization ◽  
Cellular Automaton ◽  
Optimization Design ◽  
Cellular Automaton Method ◽  
Spindle Structure

Topology Optimization Using a Hybrid Cellular Automaton Method With Local Control Rules

2006 ◽  
Vol 128 (6) ◽  
pp. 1205-1216 ◽  
Author(s):  
Andrés Tovar ◽  
Neal M. Patel ◽  
Glen L. Niebur ◽  
Mihir Sen ◽  
John E. Renaud
Keyword(s):  
Topology Optimization ◽  
Cellular Automaton ◽  
Optimization Problems ◽  
Control Loop ◽  
Structural Adaptation ◽  
Computationally Efficient ◽  
Element Analysis ◽  
Control Rules ◽  
Numerical Instabilities ◽  
Cellular Automaton Method

The hybrid cellular automaton (HCA) algorithm is a methodology developed to simulate the process of structural adaptation in bones. This methodology incorporates a distributed control loop within a structure in which ideally localized sensor cells activate local processes of the formation and resorption of material. With a proper control strategy, this process drives the overall structure to an optimal configuration. The controllers developed in this investigation include two-position, proportional, integral and derivative strategies. The HCA algorithm combines elements of the cellular automaton (CA) paradigm with finite element analysis (FEA). This methodology has proved to be computationally efficient to solve topology optimization problems. The resulting optimal structures are free of numerical instabilities such as the checkerboarding effect. This investigation presents the main features of the HCA algorithm and the influence of different parameters applied during the iterative optimization process.

Research on Techniques of Structural Topology Optimization Using Cellular Automaton

2011 ◽  
Vol 308-310 ◽  
pp. 987-993
Author(s):  
Yi Xian Du ◽  
Wei Wang ◽  
Qi Hua Tian ◽  
Jin Run Hu
Keyword(s):  
Topology Optimization ◽  
Cellular Automaton ◽  
Optimization Design ◽  
Mechanical Response ◽  
Optimization Problems ◽  
Structural Topology Optimization ◽  
Structural Topology ◽  
Computationally Efficient ◽  
Local Rule ◽  
Loaded Structure

By integrating cellular automaton (CA) theory into topology optimization of continuum, the local rule is defined for sensitivity analysis and updating of the design variable, according to the analysis of the structural mechanical response. Topology optimization design of loaded structure is conducted using minimal compliance as the optimization objective. The optimal distribution of material in the design domain is finally obtained. Comparing to other algorithms, the local rule has proved to be computationally efficient to solve structural topology optimization problems. The resulting optimal structures are free of numerical instabilities such as the checkerboard patterns and mesh dependency.

The Finite Element Analysis and the Multi-Objective Optimization Design of Spindle Systems of CNC Gantry Machine Tools

2016 ◽  
Vol 693 ◽  
pp. 243-250
Author(s):  
Zhi Zhong Guo ◽  
Yun Shun Zhang ◽  
Shi Hao Liu
Keyword(s):  
Machine Tools ◽  
Optimization Design ◽  
Multi Objective Optimization ◽  
Element Analysis ◽  
Multi Objective ◽  
Vibration Resistance ◽  
Design Variables ◽  
Force Coupling ◽  
The Finite Element Analysis ◽  
Spindle Structure

It is discovered that the vibration resistance of spindle systems needs to be improved based on the statics analysis, modal analysis and heating-force coupling analysis of spindle systems of CNC gantry machine tools. The design variables of optimization are set according to sensitivity analysis, multi-objective and dynamic optimization design is realized and its designing scheme is gained for spindle structure. The research results show that vibration resistance can be improved without change of the quality and static property of spindle systems of CNC gantry machine tools.

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