Multi-Objective Optimization of The Structural Design of Double End Beam Load Cell

被引：0

作者：

Alam, Hilman Syaeful ^{[1
]}

Bahrudin ^{[1
]}

Soetraprawata, Demi ^{[1
]}

机构：

[1] Indonesian Inst Sci, Tech Implementat Unit Instrumentat Dev, Jl SangkuriangKomplek LIPI Gedung 30, Bandung 40135, Indonesia

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, COGNITIVE SCIENCE, OPTICS, MICRO ELECTRO-MECHANICAL SYSTEM, AND INFORMATION TECHNOLOGY (ICACOMIT) | 2015年

关键词：

genetic algorithm; accuracy; safety factor; yield; strain; SHAPE OPTIMIZATION; MODEL;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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 mu epsilon.

引用

页码：52 / 57

页数：6

共 14 条

[1]

[Anonymous], 2010, TN5054 VISH PREC GRO

[2] Y-stiffened panel multi-objective optimization using genetic algorithm [J].

Badran, Sherif Farouk ;

Nassef, Ashraf O. ;

Metwalli, Sayed M. .

THIN-WALLED STRUCTURES, 2009, 47 (11) :1331-1342

[3] An integrated method of multi-objective optimization for complex mechanical structure [J].

Bin, Xu ;

Nan, Chen ;

Huajun, Che .

ADVANCES IN ENGINEERING SOFTWARE, 2010, 41 (02) :277-285

[4] Analysis and multi-criteria design optimization of geometric characteristics of grooved micromixer [J].

Cortes-Quiroz, Cesar A. ;

Azarbadegan, Alireza ;

Zangeneh, Mehrdad ;

Goto, Akira .

CHEMICAL ENGINEERING JOURNAL, 2010, 160 (03) :852-864

[5] Systematic analysis of the heat exchanger arrangement problem using multi-objective genetic optimization [J].

Daroczy, Laszlo ;

Janiga, Gabor ;

Thevenin, Dominique .

ENERGY, 2014, 65 :364-373

[6] Multi-objective design optimization of a micro heat sink for Concentrating Photovoltaic/Thermal (CPVT) systems using a genetic algorithm [J].

Karathanassis, Ioannis K. ;

Papanicolaou, Elias ;

Belessiotis, Vassilios ;

Bergeles, Georgios C. .

APPLIED THERMAL ENGINEERING, 2013, 59 (1-2) :733-744

[7] Machining fixture locating and clamping position optimization using genetic algorithms [J].

Kaya, N .

COMPUTERS IN INDUSTRY, 2006, 57 (02) :112-120

[8] A novel multi-objective optimization method based on an approximation model management technique [J].

Liu, G. P. ;

Han, X. ;

Jiang, C. .

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2008, 197 (33-40) :2719-2731

[9] Integrating multi-objective optimization with computational fluid dynamics to optimize boiler combustion process of a coal fired power plant [J].

Liu, Xingrang ;

Bansal, R. C. .

APPLIED ENERGY, 2014, 130 :658-669

[10]

Monte A. D., 2013, COMPOS STRUCT, V106, P362

← 1 2 →