In this study, the emissivity values of metal powder were examined by measuring reference temperature values using thermocouples, an infrared camera and aluminium foil to determine the reflection temperature. This enabled the testing of a methodology for determining emissivity in order to implement an intelligent control approach in additive manufacturing. The research established emissivity values for the surface of 316L powder steel that range from 0.33 to 0.46 in the temperature range from 50 to 600°C. The proposed approach allows the calibration of an infrared camera to accurately determine the temperature values of metal surfaces, which opens up the possibility of using the measurement results for intelligent control of laser power in additive manufacturing.
This article illustrates the problem ensuring homogeneity and uniformity of nanoscale coatings obtained in vacuum by carbon vapor deposition. Carbon vapors are obtained by heating in a vacuum with one or more electron beams from a water-cooled crucible, which is covered with a molten layer of refractory metal. Due to the peculiarities of the trajectory of the movement of carbon vapors from the crucible to the substrate, a situation may arise with the formation of a "visor" type defect on the coating, which prevents the uniformity of the coating.
The developed method of optimal design of flexible optical networks takes into account various factors and goals to ensure efficient use of resources, high performance, scalability, and adaptability. A mathematical model is developed to determine the key parameters of the fiber optic linear network route. The topology of the route of a fiber-optic linear network based on the proposed matrix model is proposed. An algorithm for using the matrix model of parameters based on the proposed variant of the fiber-optic linear network route is developed. The application of a systematic approach using the proposed method will allow network designers to achieve optimal design of flexible optical networks that efficiently use resources, provide high performance, as well as scalability and adaptability necessary for future growth and technological progress.
KEYWORDS: 3D modeling, Bone, Image segmentation, Data modeling, Skull, Visual process modeling, 3D printing, Tomography, Rapid manufacturing, Manufacturing
The article is devoted to the development of a method for manufacturing models of cranial implants using full-scale prototyping by means of extrusion 3D printing. According to the results, specialized software was developed that allows building a geometric model of cranial implants with the maximum degree of automation, performing spatial visualization of the volume model of the implant and generating initial data to create the corresponding full-scale model.
This work is the result of research and modeling of a set of forces that create the movement of the object with acceleration in a certain direction. The proposed analytical dependences determine the values of the coordinates of spatial locations of technological object, for example, when machining or in the medical diagnosis of pathological formations. An analytical model of maintaining stable spatial coordinates of the object, taking into account the peculiarities of the object's motion, is presented. Further research on the creation of analytical dependences that take into account the influence of external forces on the stability of the object’s spatial coordinates is proposed. This will increase the accuracy of determining the location of the object, which is very important in determining the positioning of the workpiece in the processing of parts, and in determining the spatial coordinates of pathology in the mass of a living organism.
KEYWORDS: Control systems, Mathematical modeling, Sensors, Switching, Process modeling, Systems modeling, Differential equations, MATLAB, Simulink, Automatic control
Dynamic stability of the adaptive hydraulic drive of the belt conveyor is studied with the help of an improved mathematical model constructed taking into account the physical processes that occur during the mechanical system of the conveyor under load changes. The parameters of the adaptive drive, which provide stable operation of the mechanical system in conditions of its overload, are determined.
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