A new approach for optimizing automotive crashworthiness: concurrent usage of ANFIS and Taguchi method

Abbasi, Milad; Ghafarinazari, A.; Reddy, Sekhar; Fard, Mohammad

doi:10.1007/s00158-013-0986-6

Cited by 27 publications

(17 citation statements)

References 29 publications

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“…The Taguchi method [17][18][19][20] is a useful method in the design of experiments, which decreases the number of required experiments based on the given control factors. Each experiment is composed of a level of each control factor.…”

Section: Grey-taguchi Designmentioning

confidence: 99%

Selecting the Optimal Configuration for a Solar Air Heater Using the Grey–Taguchi Method

2020

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In this study, a typical Grey-Taguchi method has been applied in order to select the optimal configuration of a solar air heater to achieve optimum performance. The analysis is performed for different system configurations in terms of collector type, mass flow rate, and cover type. The Grey-Taguchi method, which requires the minimum possible numbers of the demanded experiments for accomplishing a robust statistical decision for a given experimental problem, has been employed, and temperature difference and thermal performance have been used as the two main criteria. It is found that by considering the temperature difference criterion, at a mass flow rate of 0.011 kg/s, the best configuration is the double-pass solar collector owning a one-fourth pierced Plexiglas cover with a distance of 60 mm between the centers of the holes. On the other hand, by considering the thermal performance as the criterion, the best configuration at a mass flow rate of 0.032 kg/s is found to be the double-pass solar collector holding a half-pierced Plexiglas cover and a distance of 60 mm distance between the centers of the holes. Finally, once both factors are taken into consideration, the optimal configuration suggested by the method is the double-pass collector with a one-quarter pierced Plexiglas cover. The method also suggests keeping a 30 mm distance between the centers of the holes and applying 0.032 kg/s of the mass flow rate to achieve the highest performance.

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Section: Grey-taguchi Designmentioning

confidence: 99%

Selecting the Optimal Configuration for a Solar Air Heater Using the Grey–Taguchi Method

2020

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“…Thus, design of experiments (DOE) approach is normally adopted by researchers to construct surrogate models such as radial basis functions (RBF) [238], response surface (RS) [129], support vector regression (SVR) [222], artificial neural network (ANN) [230], [231], [239], and kriging (KRG) [90] models which relate the crushing and energy absorption responses to various design variables for analysis and optimisation purposes.…”

Section: Mathematical Formulations Of Crashworthiness Metricsmentioning

confidence: 99%

“…The advantage of employing the surrogate model as an analysis and optimisation tool in the field of energy absorption systems is that the energy absorbing behaviour of a structure in a particular design space can be identified by performing a limited number of experiments at the sampling design points or training points. DOE offers a set of methods to construct the sampling design points such as factorial, Box-Behnken (BBD) [129], [142], central-composite (CCD), fractional factorial design (FFD) [240], D-optimal [45], the optimal Latin Hypercube sampling (OLHS) [113], Taguchi or orthogonal arrays (OA) [239], and so on.…”

Section: Mathematical Formulations Of Crashworthiness Metricsmentioning

confidence: 99%

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On the crashworthiness performance of thin-walled energy absorbers: Recent advances and future developments

Baroutaji

Sajjia

Olabi

2017

Thin-Walled Structures

496

135

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Over the past several decades, a noticeable amount of research efforts has been directed to minimising injuries and death to people inside a structure that is subjected to an impact loading.\ud \ud Thin-walled (TW) tubular components have been widely employed in energy absorbing structures to alleviate the detrimental effects of an impact loading during a collision event and thus enhance the crashworthiness performance of a structure.\ud \ud Comprehensive knowledge of the material properties and the structural behaviour of various TW components under various loading conditions is essential for designing an effective energy absorbing system.\ud \ud In this paper, based on a broad survey of the literature, a comprehensive overview of the recent developments in the area of crashworthiness performance of TW tubes is given with a special focus on the topics that emerged in the last ten years such as crashworthiness optimisation design and energy absorbing responses of unconventional TW components including multi-cells tubes, functionally graded thickness tubes and functionally graded foam filled tubes.\ud \ud Due to the huge number of studies that analysed and assessed the energy absorption behaviour of various TW components, this paper presents only a review of the crashworthiness behaviour of the components that can be used in vehicles structures including hollow and foam-filled TW tubes under lateral, axial, oblique and bending loading

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“…Antony et al (2006) used a neuro-fuzzy model and the Taguchi method of experimental design to solve a multi-response optimization problem. Abbasi et al (2014) showed that parametric method optimization coupled with a neuro-fuzzy investigation applied to a nonlinear dynamic FE simulation model lead to an efficient and effective optimization approach for crashworthiness applications and significantly minimizes overall testing time and cost.…”

Section: Introductionmentioning

confidence: 99%

The incorporation of the Taguchi and the VIKOR methods to optimize multi-response problems in intuitionistic fuzzy environments

Peng¹,

Yeh²,

Lai

et al. 2015

Journal of the Chinese Institute of Engineers

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The Taguchi method is a powerful method of solving quality problems in various fields of engineering. However, this method was developed to optimize single-response processes. In many multi-response optimization problems, the important response is determined subjectively, based on knowledge or experience. However, using only exact numbers to represent this importance is problematic, because there is uncertainty and vagueness. The concept of intuitionistic fuzzy sets (IFSs) is a powerful method for characterization, using a membership function and a non-membership function. This paper proposes an efficient VIKOR method that optimizes multi-response problems in intuitionistic fuzzy environments. The importance weights of various responses are evaluated in terms of IFSs. In the proposed method, the similarity measure between IFSs is used to determine the crisp weights of the responses. This scheme eliminates the need for complicated intuitionistic fuzzy arithmetic operations and increases efficiency in solving multi-response optimization problems in intuitionistic fuzzy environments. Two case studies: plasma-enhanced chemical vapor deposition and a double-sided surface mount technology electronic assembly operation are used to demonstrate the effectiveness of the proposed method.

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A new approach for optimizing automotive crashworthiness: concurrent usage of ANFIS and Taguchi method

Cited by 27 publications

References 29 publications

Selecting the Optimal Configuration for a Solar Air Heater Using the Grey–Taguchi Method

Selecting the Optimal Configuration for a Solar Air Heater Using the Grey–Taguchi Method

On the crashworthiness performance of thin-walled energy absorbers: Recent advances and future developments

The incorporation of the Taguchi and the VIKOR methods to optimize multi-response problems in intuitionistic fuzzy environments

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