1. Field
The present disclosure generally relates to automated machining techniques, and deals more particularly with a method of optimizing toolpaths used by automatically controlled cutting tools.
2. Background
CAD/CAM (computer aided design/computer aided manufacturing) systems may be integrated with CNC (computer numerically controlled) systems to provide rapid, efficient machining of workpieces. CAM systems use various toolpath strategies to guide a cutting tool during rough machining operations in which the workpiece is machined to near net-shape. In one toolpath strategy, commonly referred to as constant-offset or parallel-offset, the degree of radial engagement of the cutting tool with the workpiece varies as the cutting tool moves along the toolpath. While the material removal rate (MRR) may be optimized along straight cuts, the feed rate must be reduced when the tool enters sharp curves or corners where the radial engagement increases.
In order to increase machining efficiency and reduce tool wear/breakage, adaptive type toolpath strategies have been developed in which full radial engagement of the cutting tool with the workpiece is maintained substantially throughout the rough machining operation. Based on full radial engagement of the cutting tool, the CAM system may calculate an axial cutting depth and feed rate that result in higher utilization of the available machine tool power. Although adaptive toolpath strategies may significantly increase cutting efficiency, the machine utilization rate is still not fully optimized. This is because, while a toolpath program may call for constant cutting tool feed rate, the machine may not be able to actually achieve a constant feed rate due to its inertial mass. For example, when the cutting tool reaches an outer cut area boundary, the machine is required to decelerate, stop, reverse direction and re-accelerate. The loss of efficiency due to these frequent changes in toolpath velocity and direction may be particularly severe along narrow or tight regions of a workpiece. In these regions, numerous, short back-and-forth passes of the cutting tool are necessary, each of which requires the cutting tool to decelerate, change direction and reaccelerate.
Accordingly, there is a need for a method of rough machining a workpiece using an adaptive toolpath strategy that increases machining efficiency, particularly along narrow or tight regions of an area being machined. There is also a need for a machining method that maintains the feed rate of a cutting tool at a substantially constant velocity while the cutting tool remains in substantially full engagement with the workpiece.
According to the disclosed embodiments, an automated machining method is provided using an adaptive toolpath strategy that utilizes a greater amount of a machine tool's available power in order to increase material removal rate and reduce machining time. The need to decelerate, change direction and reaccelerate a cutting tool is significantly reduced. Long, smooth toolpaths are generated which allow a substantially constant feed rate to be maintained during substantially the entire rough machining operation. The method creates a pre-roughed condition that can be used as a starting point for rough machining that employs substantially 100 percent tool engagement and a feed rate matched to the maximum operating constraint the machine.
According to another embodiment, a method is provided of rough-machining a workpiece using a numerically controlled machine tool. The method comprises selecting a boundary defining the shape of an area of the workpiece to be machined, determining a medial axis of the shape, using the medial axis to generate a first set of toolpath data for guiding the movement of a cutting tool, machining a pre-roughing slot in the workpiece using the first set of toolpath data, generating a second set of toolpath data based on the geometry of the slot, and rough machining the workpiece using the second set of toolpath data. Determining the medial axis of the shape is performed using a computer implemented medial axis transform algorithm, and determining the medial axis includes generating multiple curves representing the shape, and then thinning the multiple curves by deselecting at least certain of the multiple curves. Generating the second set of toolpath data is performed using an adaptive toolpath algorithm. The medial axis transform algorithm includes a scaled medial axis transform. Deselecting the at least certain multiple curves is automatically performed using a programmed computer. Alternatively, deselecting the at least certain multiple curves includes visually presenting the multiple curves to a human, and the deselection is performed by the human. Rough machining the workpiece is commenced by locating the cutting tool within the slot and moving the cutting tool spirally outward from the slot in generally smooth curves. Generating the second set of toolpath data includes selecting a toolpath pattern that spirals outwardly from the slot. The rough machining includes moving the cutting tool spirally outward from the slot.
According to still another embodiment, a method is provided of rough-machining a workpiece having at least one narrow region. The method includes inputting a cut boundary to a computer that defines the shape of an area of the workpiece to be machined, using the computer to perform a medial axis transformation of the shape, including generating a set of medial axis curves describing the shape, selecting certain of the medial axis curves for use in generating a pre-roughing toolpath, using the computer to generate the pre-roughing toolpath based on the selected medial axis curves, automatically machining a pre-roughing slot in the workpiece using the pre-roughing toolpath to guide the cutting tool, using the computer to generate a roughing toolpath based on the geometry of the pre-roughing slot, automatically machining a remainder of the area of the workpiece using the roughing toolpath to guide the cutting tool. Using the computer to perform a medial axis transformation of the shape includes performing a scalar medial axis transformation. Automatically machining the remainder of the area of the workpiece includes using the roughing toolpath to guide the cutting tool in generally smooth curves spiraling outward from the pre-roughing slot. Selecting certain of the medial axes is performed automatically by the computer. Automatically machining the remainder of the area of the workpiece includes maintaining a substantially constant radial depth of cut throughout the roughing toolpath.
The features, functions, and advantages can be achieved independently in various embodiments of the present disclosure or may be combined in yet other embodiments in which further details can be seen with reference to the following description and drawings.
The novel features believed characteristic of the illustrative embodiments are set forth in the appended claims. The illustrative embodiments, however, as well as a preferred mode of use, further objectives and advantages thereof, will best be understood by reference to the following detailed description of an illustrative embodiment of the present disclosure when read in conjunction with the accompanying drawings, wherein:
3.
Referring first to
Referring to
Attention is now directed to
Referring now to
Attention is now directed to
Attention is now directed to
At step 96, the medial axis skeletal curves are computed for the cut area boundary 50 selected in step 94, and at step 98, the computed medial axis skeletal curves may be displayed to a human user on a display screen. At step 100, medial axis skeletal curves computed at step 96 and displayed at step 98 are selected for use in a pre-roughing operation in which a first set of pre-roughing toolpath data is generated that is used to machine the pre-roughing slot 72. The selection process in step 100 may be performed by a user, or automatically by a computer 23. At step 100, the computed skeletal curves are thinned to a desired set. At step 102, a second set of roughing toolpath data is automatically generated by the computer 23 which define a toolpath for creating the pre-roughing slot 72. Finally, at step 104, an optimized adaptive toolpath 76 is generated by the computer 23 based on the geometry of the pre-roughing slot 72 and the cut area boundary 50 selected at step 94. Following generation of the optimized adaptive toolpath 76 at step 104, the workpiece 24 may be rough machined.
Embodiments of the disclosure may find use in a variety of potential applications, particularly in the transportation industry, including for example, aerospace, marine, automotive applications and other applications requiring machined workpieces. Thus, referring now to
Each of the processes of method 106 may be performed or carried out by a system integrator, a third party, and/or an operator (e.g., a customer). For the purposes of this description, a system integrator may include without limitation any number of aircraft manufacturers and major-system subcontractors; a third party may include without limitation any number of vendors, subcontractors, and suppliers; and an operator may be an airline, leasing company, military entity, service organization, and so on.
As shown in
Systems and methods embodied herein may be employed during any one or more of the stages of the production and service method 106. For example, components or subassemblies corresponding to production process 102 may be fabricated or manufactured in a manner similar to components or subassemblies produced while the aircraft 108 is in service. Also, one or more apparatus embodiments, method embodiments, or a combination thereof may be utilized during the production stages 114 and 116, for example, by substantially expediting assembly of or reducing the cost of an aircraft 108. Similarly, one or more of apparatus embodiments, method embodiments, or a combination thereof may be utilized while the aircraft 108 is in service, for example and without limitation, to maintenance and service 122.
The description of the different illustrative embodiments has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. Further, different illustrative embodiments may provide different advantages as compared to other illustrative embodiments. The embodiment or embodiments selected are chosen and described in order to best explain the principles of the embodiments, the practical application, and to enable others of ordinary skill in the art to understand the disclosure for various embodiments with various modifications as are suited to the particular use contemplated.
Number | Name | Date | Kind |
---|---|---|---|
5023920 | Breu | Jun 1991 | A |
6089743 | McQuinn | Jul 2000 | A |
8000834 | Diehl et al. | Aug 2011 | B2 |
8024159 | Sims, Jr. et al. | Sep 2011 | B2 |
20040091143 | Hu | May 2004 | A1 |
20050246052 | Coleman et al. | Nov 2005 | A1 |
20080182017 | Singh et al. | Jul 2008 | A1 |
20100087949 | Coleman et al. | Apr 2010 | A1 |
Entry |
---|
Yao “A Novel Cutter Path Planning Approach to High Speed Machining” Computer-Aided Design & Applications, vol. 3 Nos. 1-4 2006. pp. 241-248. |
Shaked et al., “Pruning Medial Axes” Computer Vision and Image Understanding vol. 69 No. 2 Feb. 1998. pp. 156-169. |
Quadros et al., “Skeletons for Representation and Reasoning in Engineering Applications” Engineering with Computers, vol. 17 2001 pp. 186-198. |
Persson “NC machining of arbitrarily shaped pockets” Computer-Aided Design. IPC Business Press. vol. 10 No. 3 May 1978. pp. 169-174. |
Kramer “Pocket Milling with Tool Engagement Detection” Journal of Manufacturing Systems. vol. 11, Issue 2, 1992, pp. 114-123. |
Stori et al., “Constant Engagement Tool Path Generation for Convex Geometries” Journal of Manufacturing Systems. vol. 19, Issue 3, 2000, pp. 172-184. |
Held et al., “A smooth spiral tool path for high speed machining of 2D pockets” Computer-Aided Design. vol. 41, pp. 539-550. |
Extended European Search Report, dated Nov. 25, 2014, regarding Application No. EP13173511.0, 8 pages. |
Elber et al., “MATHSM: medial axis transform toward high speed machining of pockets,” Computer Aided Design, vol. 37, No. 2, Feb. 2005, pp. 241-250. |
Held et al., “A smooth spiral tool path for high speed machining of 2D pockets,” Computer-Aided Design, vol. 41, No. 7, Jul. 2009, pp. 539-550. |
Ibaraki et al., “On the removal of critical cutting regions by trochoidal grooving,” Precision Engineering, vol. 34, No. 3, Jul. 2010, pp. 467-473. |
Number | Date | Country | |
---|---|---|---|
20140018953 A1 | Jan 2014 | US |