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- 저자 : Dejan Lukic (검색결과 2 건)
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The possibilities for application of STEP-NC in actual production conditions
Dejan Lukic,Sasa Zivanovic,Jovan Vukman,Mijodrag Milosevic,Stevo Borojevic,Aco Antic 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.7
With the rapid advancement of internet technologies (IT) and computer numerical control (CNC) technologies, the production environment has significantly changed in the last two decades. The International Organization for Standardization (ISO) standard 6983 (Gcode), which is still being used as a link between computer aided design/computer aided process planning/computer aided manufacturing (CAD/CAPP/CAM) and CNC system, represents an obstacle for the full integration of design and manufacturing. The result of efforts to eliminate these obstacles and shortcomings of developed standards for data exchange and sharing is the development of (STEP-ISO 10303) standard, as well as its extension to numerical control STEP-NC. This paper shows the current possibility of implementing STEPNC in integration of computer aided technologies CAx and CNC systems in actual production conditions. Two scenarios represent a new approach to programming CNC machine tools using the STEP-NC protocol, which is explained in detail with IDEF0 diagrams, with defining necessary equipment and software. Implementation of the STEP-NC protocol described by the integration definition for function modeling (IDEF0) methodology was experimentally verified on specific examples for both scenarios, with the application of available CAD/CAM systems and the STEP-NC machine software, as well as appropriate virtual and physical CNC machine tools.
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Application of Fuzzy Logic in the Analysis of Surface Roughness of Thin-Walled Aluminum Parts
Jovan Vukman,Dejan Lukic,Stevo Borojevic,Dragan Rodic,Mijodrag Milosevic 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.1
This paper presents the development and application of fuzzy logic in the milling of thin-walled parts for the purpose of analyzing surface roughness. Surface roughness is an important performance indicator of finished components. Depending on conditions such as feed ratio and wall thickness, different machining strategies can be applied. The objective was to analyze and determine the influence of the machining conditions on surface roughness. The model for analyzing and determining surface roughness of the aluminum alloy AL 7075 was trained (design rules) and compared by using the experimental data. The average deviation of the compared data for surface roughness was 12.3%. The effect of the feed ratio, wall thickness and machining strategy as well as their interactions in machining are thoroughly analyzed and presented in this study.
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