Structure design and multi-objective optimization of a novel NPR bumper system

Wang, Chunyan; Wang, Weiwei; Zhao, Wanzhong; Wang, Yuanlong; Guan, Zailin

doi:10.1016/j.compositesb.2018.07.024

Cited by 71 publications

(17 citation statements)

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“…As previously pointed out nano‐Cu particles in alkaline media can electrocatalytically oxidize a wide range of organic compounds mainly responsible for the COD of water samples and glycine was used as a standard for the determination of COD . Figure shows linear sweep voltammograms acquired from the oxidation of different concentrations of glycine at optimal conditions.…”

Section: Resultsmentioning

confidence: 99%

“…So far, number of novel electrode materials have been utilized to oxidize organic compounds. For instance, the following electrodes were reported for the electrochemical detection of COD: copper electrode modified with copper nanoparticles ; activated copper electrode ; glassy carbon electrode (GCE) coated with Ni nanoparticles , (NiCu) alloy , or cobalt oxide film ; boron‐doped diamond electrode (BDD) ; Pt electrodes modified with PbO 2 , or F‐PbO 2 ; Ti electrodes coated with nano‐TiO 2 , Rh 2 O 3 , or TiO 2 /PbO 2 ; carbon nanotube‐polystyrene composite electrode containing CuO/AgO ; gold electrode coated with micro‐nano structured Cu−Co film .…”

Section: Introductionmentioning

confidence: 99%

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Sensitive and Green Method for Determination of Chemical Oxygen Demand Using a Nano‐copper Based Electrochemical Sensor

et al. 2017

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Copper nanoparticles (nano‐Cu) were electrodeposited on the surface of glassy carbon electrode (GCE) potentiostatically at −0.6 V vs. Ag/AgCl for 60 s. The developed nano‐copper modified glassy carbon electrode (nano‐Cu/GCE) was optimized and utilized for electrochemical assay of chemical oxygen demand (COD) using glycine as a standard. The surface morphology and chemical composition of nano‐Cu/GCE were investigated using scanning electron microscope (SEM) and energy dispersive X‐ray spectrometer (EDX), respectively. The electrochemical behavior was investigated using linear sweep voltammetry (LSV) which is characterized by a remarkable anodic peak at ∼0.6 V, compared to bare GCE. This indicates that nano‐Cu enhances significantly the electrochemical oxidation of glycine. The effect of different deposition parameters, such as Cu2+ concentration, deposition potential, deposition time, pH, and scan rate on the response of the developed sensor were investigated. The optimized nano‐Cu/GCE based COD sensor exhibited a linear range of 15 to 629.3 ppm, and a lower limit of detection (LOD) of 1.7 ppm (S/N=3). This developed method exhibited high tolerance level to chloride ion (0.35 M chloride ion has minimal influence). The analytical utility of the prepared COD sensor was demonstrated by investigating the COD recovery (99.8±4.3) and the assay of COD in different water samples. The results obtained were verified using the standard dichromate method.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensitive and Green Method for Determination of Chemical Oxygen Demand Using a Nano‐copper Based Electrochemical Sensor

et al. 2017

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“…Multi-objective optimization methods are proposed to select the Pareto solutions in many engineering fields. Wang et al [12] designed a new bumper system composed of negative Poisson's ratio (NPR) beam and NPR absorber, and used a multi-objective optimization algorithm to search for the optimal structural parameters. The results show that the performance of pedestrian protection and vehicle crashworthiness was improved.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Reliability-Based Optimization of Control Arm Using MCS and NSGA-II Coupled with Entropy Weighted GRA

et al. 2021

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Lightweight design is one of the important ways to reduce automobile fuel consumption and exhaust emissions. At the same time, the fatigue life of automobile parts also greatly affects vehicle safety. This paper proposes a multi-objective reliability optimization method by integrating Monte Carlo simulation (MCS) with the NSGA-II algorithm coupled with entropy weighted grey relational analysis (GRA) for lightweight design of the lower control arm of automobile Macpherson suspension. The dynamic load histories of the control arm were extracted through dynamic simulations of a rigid-flexible coupling vehicle model on virtual proving ground. Then, the nominal stress method was used to predict its fatigue life. Six design variables were defined to describe the geometric dimension of the control arm, while mass and fatigue life were taken as optimization objectives. The multi-objective optimization design of the control arm was carried out based on the Kriging surrogate model and NSGA-II algorithm. Aiming at the uncertainty of design variables, the reliability constraint was added to the multi-objective optimization to improve the reliability of the fatigue life of the control arm. The optimal design of the control arm was determined from Pareto solutions by entropy weighted grey relational analysis (GRA). The optimization results show that the mass of the control arm was reduced by 4.1% and the fatigue life was increased by 215.8% while its reliability increased by 7.8%. The proposed multi-objective reliability optimization method proved to be feasible and effective for lightweight design of a suspension control arm.

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mentioning

confidence: 99%

“…3,4 Besides, auxetic metamaterials have many engineering advantages, such as increased indentation resistance, shear resistance, synclastic curvature, superior energy absorption capability and acoustic properties. 5,6 Therefore, auxetic materials have broad applications in many areas, including the civil and aeronautical engineering, 7 vehicle crashworthiness, 8 defensive equipment, 9,10 smart sensors, [11][12][13] filter cleaning, 5 biomechanics 14,15 and protective seat pads. 16 Recently, three-dimensional (3D) printing technology has gained significant attention for inventing auxetic metamaterials, since it offers unparalleled flexibility in achieving controlled composition, geometric shape, function and arbitrary complex geometry with low cost compared with traditional manufacturing methods.…”

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confidence: 99%

Analysis of the mechanical properties of double arrowhead auxetic metamaterials under tension

Zheng

et al. 2020

Textile Research Journal

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In order to study the deformation behavior of double arrowhead (DAH) auxetic metamaterials under different forces with different directions as well as the effects of the geometry parameters on the Poisson's ratio, this paper assembled an advanced researching method by combining the industrial design of SolidWorks software, the finite element analysis of Abaqus software and three-dimensional printed technology. Results show that the DAH structure expanded in the direction perpendicular to the force first and contracted with the strain increasing when it was pulled by the uniaxial force, no matter which direction the force is applied. Besides, the auxetic effect of the DAH structure under the tensile force in the X direction is longer than that under the tensile force in the Y direction. It is more resistant to compression when the DAH structure is subjected to transverse tensile forces than when it is subjected to longitudinal tensile forces. The angle of the V-shaped short truss has a significant impact on the negative Poisson's ratio of the DAH structure, while the angle of the V-shaped long truss angle has little influence on its auxetic performance. Specifically, the smaller the angles, the better the auxetic effect.

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Structure design and multi-objective optimization of a novel NPR bumper system

Cited by 71 publications

References 50 publications

Sensitive and Green Method for Determination of Chemical Oxygen Demand Using a Nano‐copper Based Electrochemical Sensor

Sensitive and Green Method for Determination of Chemical Oxygen Demand Using a Nano‐copper Based Electrochemical Sensor

Multi-Objective Reliability-Based Optimization of Control Arm Using MCS and NSGA-II Coupled with Entropy Weighted GRA

Analysis of the mechanical properties of double arrowhead auxetic metamaterials under tension

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