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Additive manufacturing erases the distance between design ideas and finished parts. However, designers must use several software tools to use these advantages. Moreover, these tools operate with different representations of geometry. This paper describes the architecture of a new CAD/CAM system that uses only the function representation of the geometry (FRep). It provides all widely used design operations and allows an engineer to employ robust and efficient topology optimization algorithms. The developed CAD/CAM system consists of 3D modeling, simulation, topology optimization, and direct manufacturing modules. We successfully printed designed parts and performed mechanical tests of printed parts. The results of tests show good agreement with simulation data. The system makes it possible to create structures with the desired properties in a fast and flexible way. The proposed approach significantly helps in designing additive manufacturing process and saves time for its users.
Dmitry Popov; Yulia Kuzminova; Evgenii Maltsev; Stanislav Evlashin; Alexander Safonov; Iskander Akhatov; Alexander Pasko. CAD/CAM System for Additive Manufacturing with a Robust and Efficient Topology Optimization Algorithm Based on the Function Representation. Applied Sciences 2021, 11, 7409 .
AMA StyleDmitry Popov, Yulia Kuzminova, Evgenii Maltsev, Stanislav Evlashin, Alexander Safonov, Iskander Akhatov, Alexander Pasko. CAD/CAM System for Additive Manufacturing with a Robust and Efficient Topology Optimization Algorithm Based on the Function Representation. Applied Sciences. 2021; 11 (16):7409.
Chicago/Turabian StyleDmitry Popov; Yulia Kuzminova; Evgenii Maltsev; Stanislav Evlashin; Alexander Safonov; Iskander Akhatov; Alexander Pasko. 2021. "CAD/CAM System for Additive Manufacturing with a Robust and Efficient Topology Optimization Algorithm Based on the Function Representation." Applied Sciences 11, no. 16: 7409.
Complex 3D objects with microstructures can be modelled using the function representation (FRep) approach and then manufactured. The task of modelling a geometric object with a sophisticated microstructure based on unit cell repetition is often too computationally expensive for CAD systems. FRep provides efficient tools to solve this problem. However, even for FRep the slicing step required for manufacturing can take a significant amount of time. An accelerated slicing algorithm for FRep 3D objects is proposed in this paper. This algorithm allows the preparation of FRep models for 3D printing without surface generation stage. The spatial index is employed to accelerate the slicing process. A novel compound adaptive criterion and a novel acceleration criterion are proposed to speed up the evaluation of the defining function of an FRep object. The use of these criteria is significantly reducing the computational time for contour construction during the slicing process. The K-d tree and R-tree data structures are used as spatial indexes. The performance of the accelerated slicing algorithm was tested. The contouring time was reduced 100-fold due to using the novel compound adaptive criterion with the novel acceleration criterion.
Evgenii Maltsev; Dmitry Popov; Svyatoslav Chugunov; Alexander Pasko; Iskander Akhatov. An Accelerated Slicing Algorithm for Frep Models. Applied Sciences 2021, 11, 6767 .
AMA StyleEvgenii Maltsev, Dmitry Popov, Svyatoslav Chugunov, Alexander Pasko, Iskander Akhatov. An Accelerated Slicing Algorithm for Frep Models. Applied Sciences. 2021; 11 (15):6767.
Chicago/Turabian StyleEvgenii Maltsev; Dmitry Popov; Svyatoslav Chugunov; Alexander Pasko; Iskander Akhatov. 2021. "An Accelerated Slicing Algorithm for Frep Models." Applied Sciences 11, no. 15: 6767.
3D printing allows the fabrication of ceramic implants, making a personalized approach to patients’ treatment a reality. In this work, we have tested the applicability of the Function Representation (FRep) method for geometric simulation of implants with complex cellular microstructure. For this study, we have built several parametric 3D models of 4 mm diameter cylindrical bone implant specimens of four different types of cellular structure. The 9.5 mm long implants are designed to fill hole defects in the trabecular bone. Specimens of designed ceramic implants were fabricated at a Ceramaker 900 stereolithographic 3D printer, using a commercial 3D Mix alumina (Al2O3) ceramic paste. Then, a single-axis compression test was performed on fabricated specimens. According to the test results, the maximum load for tested specimens constituted from 93.0 to 817.5 N, depending on the size of the unit cell and the thickness of the ribs. This demonstrates the possibility of fabricating implants for a wide range of loads, making the choice of the right structure for each patient much easier.
Alexander Safonov; Evgenii Maltsev; Svyatoslav Chugunov; Andrey Tikhonov; Stepan Konev; Stanislav Evlashin; Dmitry Popov; Alexander Pasko; Iskander Akhatov. Design and Fabrication of Complex-Shaped Ceramic Bone Implants via 3D Printing Based on Laser Stereolithography. Applied Sciences 2020, 10, 7138 .
AMA StyleAlexander Safonov, Evgenii Maltsev, Svyatoslav Chugunov, Andrey Tikhonov, Stepan Konev, Stanislav Evlashin, Dmitry Popov, Alexander Pasko, Iskander Akhatov. Design and Fabrication of Complex-Shaped Ceramic Bone Implants via 3D Printing Based on Laser Stereolithography. Applied Sciences. 2020; 10 (20):7138.
Chicago/Turabian StyleAlexander Safonov; Evgenii Maltsev; Svyatoslav Chugunov; Andrey Tikhonov; Stepan Konev; Stanislav Evlashin; Dmitry Popov; Alexander Pasko; Iskander Akhatov. 2020. "Design and Fabrication of Complex-Shaped Ceramic Bone Implants via 3D Printing Based on Laser Stereolithography." Applied Sciences 10, no. 20: 7138.
The method of the objective evaluation of the satellite images based on the calculation of the geometrical concentration using triangulation Delaunay is proposed. Such assessment allows to estimate the degree of the image distortion and can be used for indexing and filtration data in the satellite images catalogues.
Evgenii A. Maltsev; Yurii A. Maglinets; Ruslan V. Brezhnev. The objective assessment of the image quality based on the geometrical concentration. E3S Web of Conferences 2020, 149, 02013 .
AMA StyleEvgenii A. Maltsev, Yurii A. Maglinets, Ruslan V. Brezhnev. The objective assessment of the image quality based on the geometrical concentration. E3S Web of Conferences. 2020; 149 ():02013.
Chicago/Turabian StyleEvgenii A. Maltsev; Yurii A. Maglinets; Ruslan V. Brezhnev. 2020. "The objective assessment of the image quality based on the geometrical concentration." E3S Web of Conferences 149, no. : 02013.
This work describes the technology to identify firebreak plowing objects of agriculture fields based on the satellite data of the Earth Remote Sensing within the medium and high spatial resolution. The technology uses a model of the firebreak plowing object, vegetation indexes and spatial relations between objects.
Evgenii A. Maltsev; Yuri A. Maglinets; Gennady M. Tsibulskii. The Technology to Identify Firebreak Plowing Objects Based on the Satellite Data of the Earth Remote Sensing. E3S Web of Conferences 2019, 75, 01006 .
AMA StyleEvgenii A. Maltsev, Yuri A. Maglinets, Gennady M. Tsibulskii. The Technology to Identify Firebreak Plowing Objects Based on the Satellite Data of the Earth Remote Sensing. E3S Web of Conferences. 2019; 75 ():01006.
Chicago/Turabian StyleEvgenii A. Maltsev; Yuri A. Maglinets; Gennady M. Tsibulskii. 2019. "The Technology to Identify Firebreak Plowing Objects Based on the Satellite Data of the Earth Remote Sensing." E3S Web of Conferences 75, no. : 01006.
A detailed overview is given of an ontological spatial monitoring system (OSMS) based on the multiagent approach to complex tasks and focused on the end user. The main benefits of the combined use of the ontological and multiagent approaches are discussed. Agricultural land monitoring is used as an example to consider the main aspects involved in designing a team of agents engaged in the monitoring of spatial objects.
R. V. Brezhnev; E. A. Mal’Tsev. An ontological spatial monitoring system for agricultural land monitoring. Pattern Recognition and Image Analysis 2015, 25, 201 -208.
AMA StyleR. V. Brezhnev, E. A. Mal’Tsev. An ontological spatial monitoring system for agricultural land monitoring. Pattern Recognition and Image Analysis. 2015; 25 (2):201-208.
Chicago/Turabian StyleR. V. Brezhnev; E. A. Mal’Tsev. 2015. "An ontological spatial monitoring system for agricultural land monitoring." Pattern Recognition and Image Analysis 25, no. 2: 201-208.
In this paper, rules of the segmentation of cloud cover for SPOT-4 satellite images, which permit reducing the segmentation error of cloud cover to 10%, and a method of measurement of a cluster of clouds as image regions are proposed.
E. A. Maltsev; D. A. Perfil’Ev; E. E. Sirotin; G. M. Tsibul’Skii. Extracting a cluster of clouds in the SPOT-4 satellite images. Pattern Recognition and Image Analysis 2011, 21, 522 -525.
AMA StyleE. A. Maltsev, D. A. Perfil’Ev, E. E. Sirotin, G. M. Tsibul’Skii. Extracting a cluster of clouds in the SPOT-4 satellite images. Pattern Recognition and Image Analysis. 2011; 21 (3):522-525.
Chicago/Turabian StyleE. A. Maltsev; D. A. Perfil’Ev; E. E. Sirotin; G. M. Tsibul’Skii. 2011. "Extracting a cluster of clouds in the SPOT-4 satellite images." Pattern Recognition and Image Analysis 21, no. 3: 522-525.
The structures of metafiles for describing satellite images of the Earth we analyze in this article. We describe the architecture of interaction among the satellite images database components at the automated registration of new-type sensors. We offer the technology of dynamic extension of the attribute set for the search of satellite images in a database.
E. Maltsev; Y. Maglinets; R. Brejnev; A. Sosnin; V. Kurnosov. The technology of dynamic extension of attribute set for the search of satellite images in a database. Pattern Recognition and Image Analysis 2011, 21, 35 -40.
AMA StyleE. Maltsev, Y. Maglinets, R. Brejnev, A. Sosnin, V. Kurnosov. The technology of dynamic extension of attribute set for the search of satellite images in a database. Pattern Recognition and Image Analysis. 2011; 21 (1):35-40.
Chicago/Turabian StyleE. Maltsev; Y. Maglinets; R. Brejnev; A. Sosnin; V. Kurnosov. 2011. "The technology of dynamic extension of attribute set for the search of satellite images in a database." Pattern Recognition and Image Analysis 21, no. 1: 35-40.