Ply stacking sequence optimization of composite driveshaft using particle swarm optimization algorithm

Manjunath, K.; Rangaswamy, T.

doi:10.1051/smdo/2013001

Cited by 3 publications

(2 citation statements)

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“…Their design variables were damage ratios, the number of damaged elements, and the number of layers. Manjunath and Rangaswamy [54] optimized the stacking sequence of composite drive shafts made of different materials using PSO. The optimum results obtained by PSO are compared with results of GA and found that PSO yields better results than GA. Ghashochi Bargh and Sadr [55] used the PSO algorithm to the lay-up design of symmetrically laminated composite plates for maximization of the fundamental frequency.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimum Design of Infinite Perforated Orthotropic and Isotropic Plates

et al. 2020

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In this study, an attempt was made to introduce the optimal values of effective parameters on the stress distribution around a circular/elliptical/quasi-square cutout in the perforated orthotropic plate under in-plane loadings. To achieve this goal, Lekhnitskii’s complex variable approach and Particle Swarm Optimization (PSO) method were used. This analytical method is based on using the complex variable method in the analysis of two-dimensional problems. The Tsai–Hill criterion and Stress Concentration Factor (SCF) are taken as objective functions and the fiber angle, bluntness, aspect ratio of cutout, the rotation angle of cutout, load angle, and material properties are considered as design variables. The results show that the PSO algorithm is able to predict the optimal value of each effective parameter. In addition, these parameters have significant effects on stress distribution around the cutouts and the load-bearing capacity of structures can be increased by appropriate selection of the effective design variables. The main innovation of this study is the use of PSO algorithm to determine the optimal design variables to increase the strength of the perforated plates. Finite element method (FEM) was employed to examine the results of the present analytical solution. The results obtained by the present solution are in accordance with numerical results.

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Section: Literature Reviewmentioning

confidence: 99%

Optimum Design of Infinite Perforated Orthotropic and Isotropic Plates

et al. 2020

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“…A finite element analysis of carbon-epoxy and glass-epoxy drive shaft was carried out to investigate the effect of fibers winding and layer stacking sequence on the critical speed, buckling torque and fatigue resistance and also showed that shear strength is of minor design importance in tube since the failure mode is dominated by buckling [2]. Analysis of buckling hollow laminated composite drive shafts [3,4] describes the theoretical analysis on torsional buckling of composite drive shafts and predicted the torsional buckling load of composite drive shafts with various lay-ups. Study of shear buckling of composite shafts under Torsion Composite Structures [5] gives the effect of boundary conditions and stacking sequence on the strength of the drive shaft.…”

Section: Introductionmentioning

confidence: 99%

Design to Replace Steel Drive Shaft in Automobiles with Hybrid Aluminium Metal Matrix Composite

Ganesan¹,

James²,

Santhamoorthy³

2015

JAMES

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Many research works have been carried out in automobile industry to optimize the weight of the vehicle, as weight has a significant influence on fuel consumption. It is vital that weight optimization process should be carried out without compromising the dynamic behaviours of the components and its functions. In this paper an attempt has been made to check the suitability of hollow drive shaft (propeller drive shaft) by varying the internal diameter of the shaft. Models were created by varying the internal diameter of drive shaft as 70mm, 60mm, 50mm, 40mm, and 30mm using solid works 2012. Static, model and buckling analysis were carried out in ANSYS 15.0 WORK BENCH. Material chosen for comparison was forged steel SM45C and hybrid aluminum metal matrix composite reinforced with zirconium di boride(ZrB 2 ) and alumina (Al 2 O 3 ). These Finite element analysis results were compared with analytical values. The best design was identified to optimize the weight in order to enhance fuel efficiency.

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