Weight and cost oriented multi-objective optimisation of impact damage resistant stiffened composite panels

Corvino, M.; Iuspa, Luigi; Riccio, Aniello; Scaramuzzino, F.

doi:10.1016/j.compstruc.2008.04.020

Cited by 11 publications

(4 citation statements)

References 9 publications

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“…It calculates the objective function by a few design variables, and then counts the least-squares between data points. Each optimization loop generates a new data point, and the objective function updates the date [2]. The most complex form that the approximations can take on is a fully quadratic representation with cross terms.…”

Section: Optimization Methodsmentioning

confidence: 99%

The Welding Robot Arm Optimization Based on APDL

Liao

Lin

et al. 2011

AMR

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Ontology stiffness of welding robot has an important effect on its positioning accuracy. Based on the parameterized model of the arm built with the software of ANSYS, this paper optimized the robot arm mass of the welding robot in method of first-order using the ANSYS parametric design language (APDL). The lightest mass of the arm was obtained on the premise of the stiffness requirement of the welding robot. From the results, we could assume that the first-order method was a scientific and accurate optimization method, which provided the theoretical direction of optimization as for the welding robot structure.

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Section: Optimization Methodsmentioning

confidence: 99%

The Welding Robot Arm Optimization Based on APDL

Liao

Lin

et al. 2011

AMR

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“…Thisstudy basically shows a tradeoff between weight and constraining of certain parameters through the use of optimized techniques. M. Corvino [2] presented multi objective techniques for optimization wherein he optimized weight and cost of composite structure using general algorithm. The optimization was not just limited to optimization through algorithm as an already built code was used in conjunction with ANSYS code.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Approach for Optimization of Honeycomb Sandwich Structure under Impact Load

Khan

Vance

Israr

et al. 2012

AMM

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In this paper weight optimization of sandwich structure consisting of a honeycomb core sandwiched between two layers is presented through the use of Sequential Quadratic Programming & Genetic Algorithm by constraining of certain parameters such as buckling stress, cost and geometry. The variables to be optimized are core height, face sheet thickness and cell thickness for an effective design and better performance of the entire structural system. Sequential Quadratic Programming in Matlaband Genetic Algorithm technique with high robustness is performed and comparison between the two results is made for early convergence of the variables to be optimized. In this way, the structure could easily be monitored for any volatility, and avoid probable failure by employing proper remedial action.

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“…the design principles encompassing traditional stiffeners and the intricacies of WAAM path planning, this study introduces a set of four distinct stiffener: blade shaped, T-shaped, J-shaped and hat shaped[25,26]. As shown in Fig.4, these designs are meticulously formulated to cater to the nuanced requirements of HWMM thin-walled structures.…”

mentioning

confidence: 99%

Simultaneous dynamic processing strategies of hybrid wire arc additive-milling subtractive manufacturing based on stability region simulation and stiffeners assistance

Zhang,

Gong,

Gao

2023

Preprint

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Hybrid wire arc additive-milling subtractive manufacturing (HWMM) represents an innovative digital direct manufacturing approach for crafting intricate and low-volume structural components by using the two processes alternately. In order to solve the question that the chatter easily occurs and results in the instability of the milling due to the dynamic deposition of the HWMM, a modelling of HWMM was developed by the finite element modal analysis in this paper. Then, a stability region dynamic lobe diagram was drawn according to the dynamic model of robotic milling system "rigid tool-flexible workpiece", which can predict the optimal parameters. Within this parameter optimization range, milling tests demonstrated an absence of chatter. Furthermore, the prediction results of randomly selected parameters within the stable region are in good agreement with the experimental data. Notably, the milling vibration mean and Ra values for the externally chattered sample were 10.5 times and 4.1 times higher, respectively, than those of the stable milling sample devoid of chatter in the same region. In addressing the challenge of diminishing optimization window width with increasing deposition height, and to enhance stability, the impact of stiffeners on natural frequency was investigated. The study revealed that the T-shaped and J-shaped stiffeners induced the most substantial increase in natural frequency, presenting a promising avenue for expanding the process window. A simultaneous dynamic milling strategy of HWMM is proposed based on the stability region simulation and stiffeners assistance, which can determine quickly, and broaden the milling window, and improve the accuracy and efficiency.

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Weight and cost oriented multi-objective optimisation of impact damage resistant stiffened composite panels

Cited by 11 publications

References 9 publications

The Welding Robot Arm Optimization Based on APDL

The Welding Robot Arm Optimization Based on APDL

An Integrated Approach for Optimization of Honeycomb Sandwich Structure under Impact Load

Simultaneous dynamic processing strategies of hybrid wire arc additive-milling subtractive manufacturing based on stability region simulation and stiffeners assistance

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