In the field of reverse engineering, data quality assessment is a very important work in the detection, the result of data quality assessment will directly or indirectly affect the detection and the following manufacturing process quality. Data quality assessment can be used in the camera calibration, the model and model reconstruction comparison, and so on. In this paper, on the basis of the existing method of calculating each point error, and multipurpose use of average and standard error and some other concepts of mathematical statistics, and then improve a novel and simple calculating error method. This method is applicable to many groups of one-to-one ideal data and the measured data comparison, and it can be more intuitive to reflect the error of overall data, as well as the error distribution, and it can be more efficient to determine the measured data is reasonable or not. In this paper, the data point quality which is collected in the reverse engineering is assessed, and it can see that the method which is proposed in this article has some advantages in the data point quality assessment field.
Three-dimensional measuring instrument has high precision, high efficiency, convenience, and the stability characteristics, and is widely used in many manufacturing industries. In the process of equipment purchases and transportation, there is the need for precision test equipment. Reference to the VDI/VDE 2634 standard developed by German and equipments of other manufacturers, make reasonable accuracy test method, according to measurement data maximum error, minimum error, average error, standard deviation concept, calculate the measurement comprehensive system error, and calculate its accuracy for foreign equipment.
Porous metals are applied in many more fields than other porous materials. Pores in porous metal parts manufactured by selective laser melting (SLM) should not be regarded as defects but favorable characters because they are the main composition of porous metal parts. Therefore, fully densification is not the only target in forming metal parts via SLM. The formation mechanism of pores in SLM is studied mathematically in this article, and mathematical model is built to describe the formation mechanism. It is concluded that the shape of pores and the porosity of parts are the function of SLM processing parameters and the diameter of powder particles. Pores can be controlled and estimated by adjusting processing parameters and the nature of forming materials. Porous metal parts produced by SLM can be applied in many more fields owing that SLM technology is flexible to change the shape of these part and the nature of materials.
The core of this paper is the visualization of the multi-source data of the storm surge. The multi-source data includes the flow-field, water level, sea temperature, wave, wind-field and some other prediction factors. Around the visualization, some creative work has been done in this paper. Firstly, for the large amount and high density dynamic field data such as the flow field, wave direction, the wind-field, etc. In this paper, a uniform discretization algorithm is designed according to the elements of its characters. On one hand, it controls the display range of the factors. On the other hand, it controls the scale calibration. This algorithm is to make the power-field data to zoom steplessly. Secondly, as the storm surge data are almost long-time series data, this paper form the perspective of different design with two different solutions in order to better reflect the variation of storm surge with time, and the dynamic visualization of the prediction factors within a certain time sequence are realized.
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