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Automatic Generation of 3D Machining Surfaces With Tool Compensation

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Presentation on theme: "Automatic Generation of 3D Machining Surfaces With Tool Compensation"— Presentation transcript:

1 Automatic Generation of 3D Machining Surfaces With Tool Compensation
From Graylevel Image Models Theodor BORANGIU, Anamaria DOGAR, Alexandru DUMITRACHE,

2 Summary Height Map images
Modelling the machining surface and tool shape Performing tool compensation Generating roughing and finishing toolpaths Error analysis Future plans

3 Height Map Images

4 Obtaining Height Map Images
3D Model in POV-Ray Height Map Model

5 Obtaining Height Map Images
Remove light sources Remove material textures Use an ortographic camera Apply a pigment with brightness proportional to the distance from the camera plane: farthest point: pure black (brightness 0)‏ closest point: pure white (brightness 1)‏

6 2.5D Surface Modelling Pixel graylevel at (i,j) encodes surface height at (x,y)‏ Pixel-to-millimeter ratio: x = R i y = R j Minimum Z of the surface: black pixel Maximum Z of the surface: white pixel Graylevel value: 8-bit integer: low precision, low storage space 16-bit integer: good precision Floating point: best precision, high storage space

7 Simplest Case: 2 Dimensions
Part model: Tool model: Tool compensation:

8 Simplest Case: 2 Dimensions
Offsetting is done by image dilation For efficiency, only contour pixels need to be processed Tool path is generated by extracting the contour By image erosion we obtain the machined shape

9 Tool Shape Modelling Conic Mill Round End Mill Bull End Mill

10 Tool Compensation Objective: Generating gouge-free tool paths
Idea: For each (x,y) position, find the maximum depth at which the end mill can go down without cutting extra material Algorithm: Graysale image dilation Image: Surface model Structural element: Tool model

11 Tool Compensation Result
A surface on which tool's end point can move safely

12 Advantages Gouge-free tool paths for many tool shapes
Immediate generation of basic roughing and finishing tool paths Simple implementation, no need for complex 3D geometry computations

13 Disadvantages High computation time
(Example: image 1000x1000 pixels, tool 50x50 pixels, running time: 11 seconds on a Pentium 4-M 2.00 GHz)‏ High storage space for the image model Compromise between precision and speed!

14 Increasing Speed It is not always necessary to compute the entire surface The algorithm can be parallelized

15 The Software

16 Software Features Grayscale model support Tool shape editor
Roughing toolpath generation Finishing toolpath generation ISO CNC (G-Code) output

17 Tool Shape Editor

18 Tool Shape Editor Predefined tool shapes: User defined tool shapes
spherical end mill conical end mill flat end mill bull end mill User defined tool shapes

19 Roughing Each roughing stage is performed at constant Z level
At a given Z level, selecting the region where the cutter should clean up is an image thresholding operation For flat endmill cutters we use 2D offset compensation

20 Roughing

21 Finishing – First Method
In XY plane, the tool moves parallel with either one axis or an arbitrary direction The tool moves on the “safe surface” There is no need to compute the whole “safe surface”

22 Finishing – Second Method
Tool paths are at constant Z levels Because of the tool shape, we cannot use 2D compensation any more The whole surface needs to be computed!

23 Finishing - Combined

24 Semi-Finishing

25 Finishing

26 Error Analysis A tool can be too big to machine the fine details
At first, we can use a bigger tool to machine surfaces without fine details, and then a smaller tool to machine only the small details We can simulate one cutting operation and see what could not be machined

27 Final Touch

28 ISO CNC Output Toolpaths are made of linear segments and circular arcs
G0 X80 Y7.75 G1 Z-40 F100 G1 X65.5 G0 Z0 G0 X71.75 Y10.75 G1 X80 G1 Y13.75 G1 X73 G1 Y16.75 G1 Y19.75 G1 X73.25 M05 Toolpaths are made of linear segments and circular arcs Succesive segments may be approximated with circular arcs Toolpath optimization: reduce the time for moving the head without cutting

29 Sample Workpiece

30 Technical Data Dimensions: Material: Cutters used: Image size:
Roughing: Semifinishing: Finishing: Final Touch: 100 x 50 x 20 mm Wood: Beech (Fagus)‏ Flat 5mm, Round 6mm and 3mm 1000 x 500 379 instructions, 22 minutes, 200 mm/min 2034 instructions, 36 minutes, 200 mm/min 7131 instructions, 53 minutes, 400 mm/min 88 instructions, 1 minute, 300 mm/min

31 Other Example: Semifinished Workpiece

32 Other Algorithms Used Contour Detection: Moore Neighbourhood Search
Simplifying Polylines: Douglas – Peucker Generating Discrete Line Segments: Bresenham

33 Future Plans: Collision Detection
The whole tool shape can be modelled, including the tool holder, to check if a tool path will cause a collision with the workpiece At every moment the amount of material can be computed; this is useful to check if the maximum allowed cutting depth of a tool is not exceeded.

34 Future Plans: Better Milling Strategies
Roughing example

35 Future Plans: CNC Simulator
Input: a file with RS274 G-Code Realtime 3D Simulation for CNC Mill Engine based on height map images Collision detection Possibility of exporting animations

36 Thank You!

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