Aiming to optimiziong axial chromatic aberration, this paper designed and compared three different dispersion lens configurations for spectral confocal displacement sensor. The designed three-piece dispersion lens exhibited a dispersion range of 6.706 mm, a linear fitting error of 50 nm, and a diffraction limit of 739 μm. The designed four-piece dispersion lens ultilized a dispersion range of 0.992 mm, a linear fitting error of 12 nm, and a diffraction limit of 30 μm. The designed five-piece dispersion lens yielded a dispersion range of 2.174 mm, a linear fitting error of 30 nm, and a diffraction limit of 69 μm. In summary, three-piece lens offered the largest detection range and a smaller linear fitting error. On the other hand, the four-piece lens exhibited the smallest dispersion range, while the fitting error and the diffraction limit were boasted the smallest to that of the three-piece lens. In terms of convenience of assembly and machining, the three-piece lens was superior, with identical glass types that facilitated easier processing and higher cost performance. However, for a balance between resolution and dispersion range, the five-piece dispersion lens should be the better choice.
A distributed flexible tactile sensor based on 2D fiber Bragg grating (FBG) sensing is designed and produced in this study to solve the error of the single FBG flexible tactile sensor in identifying any two pressure positions symmetrical to the z-axis with grating center as the origin. This study also aims to obtain accurate pressure information on the surface of the electronic skin. A new type of tactile sensing application scheme composed of multiple FBG sensing elements with high spatial resolution is determined by analyzing the characteristics of FBG flexible sensing and by using ANSYS software for dynamic simulation. Simulation and experimental results show that the flexible tactile sensor proposed in this study has high linearity and sensitivity. In addition, the spatial resolution of the proposed sensor is increased by 8 times compared with that of a single FBG sensor with the same length. Research results can be applied to the tactile detection of the flexible electronic skin for robots. This application, which provides a feasible solution to develop and promote flexible electronic skin, has a wide range of prospects.
The defect inspection in traditional metal processing usually adopts the manual visual inspection, which is easy to cause problems such as false detection and leakage. Besides, the detection rate of existing metal defect inspection has been affected by the high reflectivity of metal surface. For avoiding the problems of existing detection algorithms, a metal defect detection system based on laser triangulation and laser vision is given. The system is composed of industrial camera and strip light source. In order to avoid the interference of metal reflection on defect detection, the green strip light is used as the light source of the system. Based on the proposed system, this paper presents a metal surface detection algorithm with three primary color channels, that is, metal surface defects are identified by identifying the RGB values of metal surface pixels. Finally, through static experiments, the detection rate of the metal defect surface detection system based on laser vision is 100%. The defect detection method proposed in this paper can effectively avoid the influence of high reflectivity of metal surface on the detection rate, and can be widely used in the field of metal processing.
An irradiance distribution model for laser triangulation displacement sensors is proposed, which is more suitable for practical applications than the geometric optical model (GOM). Based on the irradiance distribution model, a convergence algorithm is developed. Compared with the design parameter optimized method based on the GOM, the convergence algorithm can be used for optimization of not only the traditional design parameters including view angle and object distance but also the waist of the source laser beam. Additionally, using this convergence algorithm, the nonlinearity can be evaluated in the design stage. To validate the convergence algorithm, two example cases are performed. The results show that the nonlinearities are reduced to 6.3098 and 5.7946 μm, respectively.
Laser triangulation displacement sensor using the single point laser or linear laser as the source is widely used in industry. The sensor uses the triangulation principle among light source, tested object and receiver with high speed and non-contact advantages. However, the structure of most of traditional laser triangulation sensors is split that an external amplifier controller is necessary, causing a complicated system. An integrated structure of laser triangulation displacement sensor is put forward in this paper. All signal collection and processing systems are integrated in the probe so that the sensor can be convenient to measure. The limited volume of sensor leads to the change of layout. So the image quality of spots also changes as well. The layout and the principle of the sensor are introduced. The expression of the light spot is also analyzed. A new measurement method of spot processing is also proposed at the same time. Some experimental results are also given to show the efficiency of the new algorithm.
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