An integrated method of multi-objective optimization for complex mechanical structure

Xu, Bin; Chen, Nan; Huajun, Che

doi:10.1016/j.advengsoft.2009.07.004

Cited by 15 publications

(5 citation statements)

References 19 publications

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“…The results indicated that this integrated method is effective and shows a potential in engineering applications. The authors concluded that this integrated method of multi-objective optimization has solved a practical problem successfully, and its efficiency has been improved greatly compared with enumerative methods [9]. Based on the work of this thesis, a scientific paper was written and oral presented on VI…”

Section: About Optimization Methodsmentioning

confidence: 97%

Determination of Material/Geometry of the Section Most Adequate for a Static Loaded Beam Subjected to a Combination of Bending and Torsion

Silva

Meireles

2012

MSF

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The acceleration of industrial machines mobile parts has been increasing over the last few years, due to the need of higher production in a short period of time. The machines were dimensioned for a lower value of acceleration, which means there is not enough rigidity for the correct operation at much higher accelerations. Nowadays, the accelerations can be near 12 times the acceleration of gravity. There is the need of improving rigidity to make possible the correct machine operation without undesired vibrations that can ultimately lead to failure. The main applications of this work are plotters and laser cutting machines. To improve rigidity, one must improve the relevant material properties, and the relevant geometric variables of the model.[1] A novel Finite Element Model Updating methodology is presented in this paper. The considered models were : a ribbed plate and a tubular beam. The models were built by means of the Finite Element Method (FEM), and MATLAB was used to control the optimization process, using a programming code. Both material properties and geometric parameters were optimized. The main aim of the materials modeling is to know how the value of the objective function changes with the value of the material properties. Materials selection was performed, using material selection charts, to select the best material for the application. The value of these properties was not in the catalogue, and the properties used to perform the material selection were related to a material sub-class, Eg. Steel. The final material selection determined the best specific material for the application, and that material was mechanically tested. The mechanical tests performed were: Tensile Test and Extensometry Test, to obtain the relevant material properties, mainly Young Modulus, Poisson Coefficient and Yield Stress. The deflection of the optimized models reduced strongly in comparison to the initial models.

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Section: About Optimization Methodsmentioning

confidence: 97%

Determination of Material/Geometry of the Section Most Adequate for a Static Loaded Beam Subjected to a Combination of Bending and Torsion

Silva

Meireles

2012

MSF

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“…Step 1: Determine the length of the code for (i=1, ..., n): ( 1 ) where is the precision needed(10 , 10 , 10 , . .…”

Section: ) Individual Representationmentioning

confidence: 99%

“…But along with the rapid development in technology design, these challenges can be overcome by involving the multi-objectiveoptimization techniques. These techniques can help the designerto solve various problems in the field of engineering design.With these advantages, multiobjectiveoptimization techniques have been used to solve the design problems in some recent studies which are applied for the complex mechanical structures [1], mold of the automotive interior component [2], geometry of the groove micro-mixer [3], boiler combustion process of power plant [4], heating/cooling channels of injection molding [5], geometry of heat exchanger system [5], and airfoil of wind turbine [7].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of the structural design of double end beam load cell

Bahrudin

Soetraprawata

2015

2015 International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Techno

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Multi-objective optimization of the structural design of double end beam load cell had been performed using a genetic algorithm. Two design variables were used to minimize the structural mass, to maximize the structural strength, and to maximize the level of measurement accuracy. Based on the optimal results, the weight reduction of the structure was successfully achieved of about 8.6%. The design safety factor reached 24 % larger than the yield failure criterion. Therefore, the structure will certainly secure against the plastic deformation. The accuracy of measurement of the load cell was predicted to reach the category of high accuracy due to the amount of strain on the strain gauge cavity managed to exceed ± 1600 με.

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“…The FEM has some limitations in the results accuracy when modelling complex structures [2]; however, there have been many developments in this field. For instance, Bin has modelled an aerial working vehicle with good correlation between results [3]. Several optimization procedures have been proposed presently with application to structural static analysis [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Structural Optimization Coupled with Materials Selection for Stiffness Improvement

Silva

Meireles

Wojewoda

2018

Mechanics and Mechanical Engineering

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An application of a Finite Element Model updating is presented in this paper. Two Finite Element models were considered: a reinforced plate and a thin-walled beam. The two parts were numerically calculated in ANSYS Mechanical APDL and MATLAB programs. ANSYS performs Finite Element calculations, and a MATLAB programming code was used to control the optimization procedure. Geometric variables were chosen, to evaluate the value of the defined objective function. The material was picked using available selection charts, to find the most adequate one for the study. It has been concluded that the transveral displacement of the models modified by the optimization process decreased sharply in relation to the original state.

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An integrated method of multi-objective optimization for complex mechanical structure

Cited by 15 publications

References 19 publications

Determination of Material/Geometry of the Section Most Adequate for a Static Loaded Beam Subjected to a Combination of Bending and Torsion

Determination of Material/Geometry of the Section Most Adequate for a Static Loaded Beam Subjected to a Combination of Bending and Torsion

Multi-objective optimization of the structural design of double end beam load cell

Structural Optimization Coupled with Materials Selection for Stiffness Improvement

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