A Comparative Study of Non-traditional Methods for Vehicle Crashworthiness and NVH Optimization

Kiani, Morteza; Yıldız, Ali Rıza

doi:10.1007/s11831-015-9155-y

Cited by 141 publications

(50 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various heuristic search evolutionary algorithm techniques are also used in the different fields of engineering and system modeling for the solution of complex, nonlinear, irregular, and nondifferentiable optimization problems. [31][32][33][34][35][36][37][38][39][40][41][42][43][44] In this paper, 16-element TMLAA and nine-ring TMCCAA are designed for the improvement of radiation characteristics by applying a metaheuristic optimization technique called the grey wolf optimization (GWO). The following constraints of TMLAA and TMCCAA designs are considered: reduced SLL, narrow FNBW for the improvement of directivity, impose nulls on the peak of side lobes at a central frequency in the radiation pattern.…”

Section: Introductionmentioning

confidence: 99%

An optimal far‐field radiation pattern synthesis of time‐modulated linear and concentric circular antenna array

Das

Mandal

Kar

2019

Int J Numerical Modelling

View full text Add to dashboard Cite

In this paper, an optimal far‐field radiation pattern synthesis by using time modulation technique is carried out for linear antenna array (LAA), and concentric circular antenna array (CCAA) designs using a stochastic optimization method called grey wolf optimization (GWO). An improved far‐field radiation characteristic mainly depends on the synthesis of low side lobe level (SLL) and narrow first null beam width (FNBW). A low SLL is a requirement to reduce the interference by the other systems operating in the same frequency band. A narrow FNBW is necessary to obtain a high directivity. In time modulation technique, “time” has a most significant role. It is considered as the fourth‐dimensional parameter as it plays the role of an additional degree of freedom to achieve an improved radiation pattern. The time‐modulated antenna array (TMAA) radiates at various harmonic frequencies for the periodic switching time sequence. In this paper, the generation of radiation pattern only at the fundamental/central frequency and at its first two harmonic frequencies are considered. The GWO algorithm is a flexible and robust search algorithm and is applied here to find out the optimum sets of switching on‐time duration for each array element and to determine the optimum inter‐element separation between two array elements of the 16‐element time‐modulated linear antenna array (TMLAA) and the nine‐ring time‐modulated concentric circular antenna array (TMCCAA). The GWO algorithm‐based results show a substantial improvement in far‐field radiation pattern synthesis compared with the uniform radiation pattern and those of the methods reported in state‐of‐the‐art literature.

show abstract

Section: Introductionmentioning

confidence: 99%

An optimal far‐field radiation pattern synthesis of time‐modulated linear and concentric circular antenna array

Das

Mandal

Kar

2019

Int J Numerical Modelling

View full text Add to dashboard Cite

show abstract

“…−800 and −200 kN, respectively. The same maximum number of iterations (20,000), number of population (30), and algorithm parameters (except HS) of Structure 1 is used for the analysis of 25-bar truss system.…”

Section: Structure 2: 25-bar Space Trussmentioning

confidence: 99%

Advanced energy‐based analyses of trusses employing hybrid metaheuristics

Bekdaş

Kayabekir

Niğdeli

et al. 2019

Structural Design Tall Build

View full text Add to dashboard Cite

Summary Total potential optimization using metaheuristic algorithm (TPO/MA) is an alternative method in structural analyses, and it is a black‐box application for nonlinear analyses. In the study, an advanced TPO/MA using hybridization of several metaheuristic algorithms is investigated to solve large‐scale structural analyses problems. The new generation algorithms considered in the study are flower pollination algorithm (FPA), teaching learning‐based optimization, and Jaya algorithm (JA). Also, the proposed methods are compared with methodologies using classic and previously used algorithms such as differential evaluation, particle swarm optimization, and harmony search. Numerical investigations were carried out for structures with four to 150 degrees of freedoms (design variables). It has been seen that in several runs, JA gets trapped into local solutions. For that reason, four different hybrid algorithms using fundamentals of JA and phases of other algorithms, namely, JA using Lévy flights, JA using Lévy flights and linear distribution, JA with consequent student phase, and JA with probabilistic student phase (JA1SP), are developed. It is observed that among the variants tried, JA1SP is seen to be more effective on approaching to the global optimum without getting trapped in a local solution.

show abstract

“…SA algorithm uses the analogy between the minimization of the cost function of an optimization problem and the slow procedure of gradually cooling a metal until it reaches its "freezing" point, at which the energy of the system has acquired a globally minimal value. This algorithm is based on an iterative method proposed by Kiani and Yildiz that simulates the transition of atoms in equilibrium at a given temperature [21].…”

Section: Factorsmentioning

confidence: 99%

Optimal Design for an Extruder Head Runner Based on Response Surface Method and Simulated Annealing Algorithm

Zhou

Jiang

et al. 2018

International Journal of Polymer Science

View full text Add to dashboard Cite

The head runner of a rubber extruder is important for controlling rubber flow and improving extrudate quality. To clarify the effect of the structure parameters of the head runner of a doubleplex tread extruder on extrudate quality and obtain high-quality rubber extrusions, a finite element model of the down head runner was established. The extrusion process was analyzed through numerical simulations, wherein the Bird-Carreau constitutive equation and Navier slip law were used along with some computational methods, such as quadratic interpolation of velocity and linear interpolation of pressure and viscosity. The Newton iteration algorithm was used for numerical calculations. The mean-square deviation of velocity (SDV) of rubber flow in the outlet cross section was selected as the evaluation objective. A Placket-Burman design was used to select three key factors-angles A and B and outlet width D-from among eight runner structure parameters affecting the velocity variance. By using central composite design (CCD), the quadratic response surface model using the three key factors was established, and the influence law of a combination of the three key factors on SDV was obtained. The response surface model was optimized using the simulated annealing (SA) algorithm, and the optimal key factors of the head runner were obtained. The optimal runner design realizes a more uniform velocity distribution in the outlet cross section. Furthermore, a comparison of the simulated flow velocities of the original and optimal head runners at different inlet flow ratios and temperatures indicates that the optimal head runner flow velocity improves the extrusion quality. Thus, an optimal runner with optimal key factors was manufactured. Test results of the rubber flow state indicated that the flow is regular and that warping disappears. The proposed optimization strategy can be used practically for improving the head runner design, shortening the product development cycle, and reducing the production cost.

show abstract

A Comparative Study of Non-traditional Methods for Vehicle Crashworthiness and NVH Optimization

Cited by 141 publications

References 35 publications

An optimal far‐field radiation pattern synthesis of time‐modulated linear and concentric circular antenna array

An optimal far‐field radiation pattern synthesis of time‐modulated linear and concentric circular antenna array

Advanced energy‐based analyses of trusses employing hybrid metaheuristics

Optimal Design for an Extruder Head Runner Based on Response Surface Method and Simulated Annealing Algorithm

Contact Info

Product

Resources

About