To solve the mobile robot path planning in uncertain environments, a new path planning algorithm is presented on the basis of the biological immune network. The environment surrounding the robot is taken as the antigen, and the behavior strategy of robot is taken as the antibody. The selection model of antibody concentration is defined based on the Jernes idiotypic immune network hypothesis, and the mobile robot path planning is realized through the selection of the antibody concentration. The simulation of path planning for mobile robot in multi-obstacle environments shows that the robot can find a safe path in complicated environments, which verifies the better adaptivity of proposed planning model. The simulation in dynamic environments shows that the robot can safely avoid all dynamic obstacles, which verifies the better flexility of new algorithm.
For the purpose of weight saving, the heavy metal articulated platform, which is used in Bus Rapid Transit (BRT) vehicles to connect the front and rear compartments, is replaced with carbon fiber composite material. Composites articulated plates are designed based on the requirements of shape, size, positioning, connection and load of steel articulated platform. Optimization design is applied to high stress region in the articulated plates to provide references for the improvement and lightweight design of the articulated platform.
Transverse compaction and in-plane shear deformartion are the dominative deformation mode for woven preform during forming process. A full finite element model of the 2.5D woven composites has been established by the computed tomography (CT) in this paper. Based on the energy method, the effective orthotropic/anisotropic stiffness coefficientsCijare calculated by performing a finite element analysis (FEA) of this full cell model. Using this model, the effects of the compaction and shear deformation of the 2.5D woven preform on the composites stiffness are investigated in detail. Compared the results of the static tensile tests, the rationality of the model and the method is verified.
Transverse compaction is an important pattern of deformation during the composite resin transfer molding (RTM) process. Reasonable compaction rate is related to both the composite mould design and the fiber volume fraction of the final composite. In this paper, a mesoscopic geometry model based on CT scanning of 2.5D preform reinforcements is presented. Applying this model to the FEM simulation of transverse compaction, we prove the validation on simulating transverse compaction property of 2.5D preform by comparing to results of compaction test. Orientation angle during the progressive compaction is studied. Using this geometry structure, we build internal and surface RUC respectively then combining together to predict the in-plane mechanical property of 2.5D preform composite. Prediction result is acceptable corresponding to the mechanical properties calculated by homogenized method and compressive stiffness tested by combined loading compression (CLC) experiment.
Metal nanostructures can be used to control light transmission on the nanometer scale. In this paper, we propose a ladder-type comb-like metal nano-grating structure, based on optical filtering properties of the comb-like nanostructures and surface plasmon resonance effect of the metal nano-structures. The comb part of the structure is the silver nano-grating with the width of 20nm and a depth difference of 5nm between the adjacent gratings. We use the 532nm CW laser as the incident light source to study the reflective properties of the P polarized light and calculate the reflected power spectrum of the structure in three different parameters, which are the silver nano-grating, the silver-air nano-grating (silver grating are separated by air) and silver-SiO2 nano-grating. The experimental results show that the light wave oscillation modes are closely related to the comb-like structure parameters (including the depth and width) on the power spectrum. Meanwhile, we also draw conclusions that different intervention media does not change the position of the light wave oscillation modes, but only a significant effect on the reflection intensity of the different modes. Furthermore, we also noted that the depth of silver nano-gratings can affect the position of the resonance peak. As the waveguide depth of the silver nano-gratings increasing, the spacing of different modes’ oscillation peak is becoming larger. Based on the finding, we can modulate the light wave oscillation modes in a very wide spectral range. The results of this paper will promote the development of the optical filter, light wave mode selection and random laser excitation.
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