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1.
Design and construction of the technological process of product production
Marko Drempetić, 2016, magistrsko delo

Opis: Master’s thesis contains technological procedure for developing product which includes design, making of technological documentation, choosing parameters for CNC machining, and measuring of the final product. The product from this master thesis is “Oil control block”. This is one of the parts of the high voltage switchgear GIS „Gas Insulated Switchgear“ which is used for regulation of pressure during switching. The product is made from material C45 (1.0503) according to European norm EN 10277-2-2008. The technological process is shown in spreadsheet view. Also it’s explained the workholding device and the way of using it, then it’s shown the technological documentation which follows the machining process, then the NC program and 3D model. It will be shown the CNC milling machine "Matsuura H.Plus-630 Horizontal Machining Center" and the parameters for machining process. After machining process is done the workpiece is sent to the Quality Control Department where it is checked GD&T. Dimension are controlled on 3D coordinate measurement system “FARO” then the control list is generated with the appropriate software.
Ključne besede: technological process, workpiece, milling process, G and M code, 3D Laser scanner
Objavljeno: 04.04.2016; Ogledov: 872; Prenosov: 112
.pdf Celotno besedilo (3,94 MB)

2.
Computer-based workpiece detection on CNC milling machine tools using optical camera and neural networks
Simon Klančnik, Jernej Šenveter, 2010, izvirni znanstveni članek

Opis: In this paper, system for optical determining the workpiece origin on the CNC machine is presented. Similar high sophisticated systems are commercially available but in most cases they are very expensive and so their purchase is economically unjustified. The purpose of our research is to develop an inexpensive system for non-contact determination of the workpiece origin, which is also sufficiently precise for practical use. The system is implemented on a three-axis CNC milling machine Lakos 150 G, which is primarily designed for good machinability materials. Calibration procedure using feed-forward neural networks was developed. With this method the calibration procedure is simplified and the mathematical derivation of camera model is avoided. Learned neural network represents the camera calibration model. After neural network learning is complete, we can begin using the system for determining the workpiece origin. This developed system was through a number of tests proved to be reliable and suitable for use in practice. In the paper, working of system is illustrated with a practical example, which confirms the effectiveness of the implemented system in actual use on machine.
Ključne besede: neural networks, image processing, milling, workpiece detection
Objavljeno: 01.06.2012; Ogledov: 1378; Prenosov: 31
URL Povezava na celotno besedilo

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