The paper presents a tool path generation methodology for roughing operation based on the oriented graph theory. The cutting areas are identified using an original method that is based on a bicolor and binary map. The toolpath is generated using the searching Dijkstra algorithm inside a graph in order to find the single-source shortest path. The method was employed in order to be applied on ordered and/or unordered point clouds. The entire algorithm was implemented into a mathematic calculus solution which allows the import of point clouds and its processing until the final NC code is generated.
This paper represents the focus on developing efficient algorithms that reduce the operations required to be employed in order to obtain complex surfaces milling finishing toolpaths for the three axis NC (Numerical Control) machine within the reverse engineering chain of processes. Direct machining is the process of generating efficient toolpaths directly from the digitized data, meaning the point cloud. The entire research is focused on determining the mathematical calculus able to interpret the data collected through the contact/noncontact 3D scanning process. In this direction, two algorithms were developed to generate ball-end mill finishing toolpaths for freeform surfaces using ordered/unordered point clouds. Practical work that validates author’s employed algorithms of obtaining finishing milling toolpaths uses the point cloud stored from the 3D scanning process in matrix found in ASCII files, which makes data interpreting easy.
The development of low-cost desktop versions of three-dimensional (3D) printers has made these devices widely accessible for rapid prototyping and small-scale manufacturing in home and office settings. Many desktop 3D printers rely fused deposition modeling process, that it is based on heated thermoplastic filiform material that it is extrused through a nozzle and deposited afterwards onto a heated building platform. The extruding accuracy in part fabrication is subject to transmission machinery and filament diameter on one hand and the technological parameters that are used in the manufacturing process (raster angle, tool path, slice thickness, build orientation, deposition speed, building temperature, etc.) on the other hand. The presented work try to investigate by using the finite element method, how the building temperature in close connection with the material characteristics is influencing the accuracy of a test part that has been designed in order to callibrate an Desktop 3D Printer machine that has been originally designed and produced at the Technical University of Cluj-Napoca (TUC-N).
Abstract. In this paper it is analyzed a product machined at the S.C. ULMA PACKAGING S.A. company, which is a "Thermoforming mold" used in order to obtain plastic containers in which the food or non-food product is packed, making part of a thermoforming machine called TFS 200. The aims of this paper are to determine the optimal technological parameters and to study the effects of the DFM principles and the optimal tool path strategy usage on manufacturing time of the "Thermoforming mold". A redesign of the thermoforming mold is presented based on the failed rules and recommendations given by the DFM program and followed by the analysis of the DFM's benefic effect on the manufacturing time.
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