Research Papers

Direct Digital Subtractive Manufacturing of a Functional Assembly Using Voxel-Based Models

[+] Author and Article Information
Roby Lynn

George W. Woodruff School of
Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: roby.lynn@gatech.edu

Mahmoud Dinar, James Collins, Jing Yu, Clayton Greer, Thomas Kurfess

George W. Woodruff School of
Mechanical Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332

Nuodi Huang

School of Power and Mechanical Engineering,
Wuhan University,
Wuhan 430072, China

Tommy Tucker

Tucker Innovations, Inc.,
Charlotte, NC 28105

1Corresponding author.

Manuscript received March 23, 2017; final manuscript received August 7, 2017; published online December 18, 2017. Assoc. Editor: Tony Schmitz.

J. Manuf. Sci. Eng 140(2), 021006 (Dec 18, 2017) (14 pages) Paper No: MANU-17-1163; doi: 10.1115/1.4037631 History: Received March 23, 2017; Revised August 07, 2017

Direct digital manufacturing (DDM) is the creation of a physical part directly from a computer-aided design (CAD) model with minimal process planning and is typically applied to additive manufacturing (AM) processes to fabricate complex geometry. AM is preferred for DDM because of its minimal user input requirements; as a result, users can focus on exploiting other advantages of AM, such as the creation of intricate mechanisms that require no assembly after fabrication. Such assembly free mechanisms can be created using DDM during a single build process. In contrast, subtractive manufacturing (SM) enables the creation of higher strength parts that do not suffer from the material anisotropy inherent in AM. However, process planning for SM is more difficult than it is for AM due to geometric constraints imposed by the machining process; thus, the application of SM to the fabrication of assembly free mechanisms is challenging. This research describes a voxel-based computer-aided manufacturing (CAM) system that enables direct digital subtractive manufacturing (DDSM) of an assembly free mechanism. Process planning for SM involves voxel-by-voxel removal of material in the same way that an AM process consists of layer-by-layer addition of material. The voxelized CAM system minimizes user input by automatically generating toolpaths based on an analysis of accessible material to remove for a certain clearance in the mechanism's assembled state. The DDSM process is validated and compared to AM using case studies of the manufacture of two assembly free ball-in-socket mechanisms.

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Lim, T. S. , Lee, C. M. , Kim, S. W. , and Lee, D. W. , 2002, “ Evaluation of Cutter Orientations in 5-Axis High Speed Milling of Turbine Blade,” J. Mater. Process. Technol., 130–131, pp. 401–406. [CrossRef]
Tournier, C. , Lavernhe, S. , and Lartigue, C. , 2009, “ 5-Axis High Speed Milling Optimisation,” preprint arXiv:0904.1083. https://arxiv.org/abs/0904.1083
Warkentin, A. , Hoskins, P. , Ismail, F. , and Bedi, S. , 2001, “ Computer-Aided 5-Axis Machining,” Systems Techniques and Computational Methods, CRC Press, Boca Raton, FL, pp. 3001–3034. [CrossRef]
Beudaert, X. , Lavernhe, S. , and Tournier, C. , 2012, “ Feedrate Interpolation With Axis Jerk Constraints on 5-Axis NURBS and G1 Tool Path,” Int. J. Mach. Tools Manuf., 57, pp. 73–82. [CrossRef]
Chen, Z. C. , Dong, Z. , and Vickers, G. W. , 2003, “ Automated Surface Subdivision and Tool Path Generation for 31212-Axis CNC Machining of Sculptured Parts,” Comput. Ind., 50(3), pp. 319–331. [CrossRef]
Weaver, A. , and Osterman, P. , 2016, “ Skill Demands and Mismatch in U.S. Manufacturing: Evidence and Implications,” ILR Review, 70(2), pp. 275–307.
Campbell, I. , Bourell, D. , and Gibson, I. , 2012, “ Additive Manufacturing: Rapid Prototyping Comes of Age,” Rapid Prototyping, 18(4), pp. 255–258.
Mellor, S. , Hao, L. , and Zhang, D. , 2014, “ Additive Manufacturing: A Framework for Implementation,” Int. J. Prod. Econ., 149, pp. 194–201. [CrossRef]
Dinar, M. , and Rosen, D. W. , 2017, “ A Design for Additive Manufacturing Ontology,” ASME J. Comput. Inf. Sci. Eng., 17(2), p. 21013. [CrossRef]
Tarbutton, J. A. , Kurfess, T. R. , and Tucker, T. M. , 2010, “ Graphics Based Path Planning for Multi-Axis Machine Tools,” Comput.-Aided Des. Appl., 7(6), pp. 835–845. http://www.tandfonline.com/doi/abs/10.3722/cadaps.2010.835-845?journalCode=tcad20
Tarbutton, J. A. , Kurfess, T. R. , Tucker, T. , and Konobrytskyi, D. , 2013, “ Gouge-Free Voxel-Based Machining for Parallel Processors,” Int. J. Adv. Manuf. Technol., 69(9–12), pp. 1941–1953.
Tucker Innovations, 2017, “ SculptPrint: The Subtractive 3D Printing Application,” Tucker Innovations, Inc., Waxhaw, NC, accessed Aug. 24, 2017, www.sculptprint3d.com
Gibson, I. , Rosen, D. , and Stucker, B. , 2015, Additive Manufacturing Technologies, Springer, New York. [CrossRef] [PubMed] [PubMed]
Mavroidis, C. , DeLaurentis, K. J. , Won, J. , and Alam, M. , 2001, “ Fabrication of Non-Assembly Mechanisms and Robotic Systems Using Rapid Prototyping,” ASME J. Mech. Des., 123(4), pp. 516–524. [CrossRef]
Rengier, F. , Mehndiratta, A. , von Tengg-Kobligk, H. , Zechmann, C. M. , Unterhinninghofen, R. , Kauczor, H.-U. , and Giesel, F. L. , 2010, “ 3D Printing Based on Imaging Data: Review of Medical Applications,” Int. J. Comput. Assisted Radiol. Surg., 5(4), pp. 335–341. [CrossRef]
Lipson, H. , Moon, F. C. , Hai, J. , and Paventi, C. , 2004, “ 3-D Printing the History of Mechanisms,” ASME J. Mech. Des., 127(5), pp. 1029–1033. [CrossRef]
Fuge, M. , Carmean, G. , Cornelius, J. , and Elder, R. , 2015, “ The MechProcessor: Helping Novices Design Printable Mechanisms Across Different Printers,” ASME J. Mech. Des., 137(11), p. 111415. [CrossRef]
Kataria, A. , and Rosen, D. W. , 2001, “ Building Around Inserts: Methods for Fabricating Complex Devices in Stereolithography,” Rapid Prototyping J., 7(5), pp. 253–262. [CrossRef]
Capital, G. E. , 2013, Additive Manufacturing: Redefining What's Possible, QMI Solutions, Springwood, Australia.
Schmelzle, J. , Kline, E. V. , Dickman, C. J. , Reutzel, E. W. , Jones, G. , and Simpson, T. W. , 2015, “ (Re)Designing for Part Consolidation: Understanding the Challenges of Metal Additive Manufacturing,” ASME J. Mech. Des., 137(11), p. 111404. [CrossRef]
Endl, R. , and Jaje, J. , 2012, “ The Challenges for CAM Systems and Users in 5-Axis Machining,” Vero Software, Cheltenham, UK.
Lin, R.-S. , and Ye, C.-B. , 2012, “ Accurate Trajectory Control for Five-Axis Tool-Path Planning,” International Multi Conference of Engineers and Computer Scientists (IMECS), Hong Kong, China, Mar. 14–16, pp. 932–937. http://www.iaeng.org/publication/IMECS2012/IMECS2012_pp932-937.pdf
Xu, X. , Wang, L. H. , and Newman, S. T. , 2011, “ Computer-Aided Process Planning: A Critical Review of Recent Developments and Future Trends,” Int. J. Comput. Integr. Manuf., 24(1), pp. 1–31. [CrossRef]
Turley, S. P. , Diederich, D. M. , Jayanthi, B. K. , Datar, A. , Ligetti, C. B. , and Finke, D. A. , 2014, “ Automated Process Planning and CNC-Code Generation,” Industrial and Systems Engineering Research Conference (ISERC), Montreal, QC, Canada, May 31–June 3, pp. 2138–2145. https://www.researchgate.net/publication/284158979_Automated_Process_Planning_and_CNC-Code_Generation
Bohez, E. L. J. , Ranjith Senadhera, S. D. , Pole, K. , Duflou, J. R. , and Tar, T. , 1997, “ A Geometric Modeling and Five-Axis Machining Algorithm for Centrifugal Impellers,” J. Manuf. Syst., 16(6), pp. 422–436. [CrossRef]
Castagnetti, C. , Duc, E. , and Ray, P. , 2008, “ The Domain of Admissible Orientation Concept: A New Method for Five-Axis Tool Path Optimisation,” Comput.-Aided Des., 40(9), pp. 938–950. [CrossRef]
Morishige, K. , Kase, K. , and Takeuchi, Y. , 1997, “ Collision-Free Tool Path Generation Using 2-Dimensional C-Space for 5-Axis Control Machining,” Int. J. Adv. Manuf. Technol., 13(6), pp. 393–400. [CrossRef]
Jun, C.-S. , Cha, K. , and Lee, Y.-S. , 2003, “ Optimizing Tool Orientations for 5-Axis Machining by Configuration-Space Search Method,” Comput.-Aided Des., 35(6), pp. 549–566. [CrossRef]
Wang, N. , and Tang, K. , 2008, “ Five-Axis Tool Path Generation for a Flat-End Tool Based on ISO-Conic Partitioning,” Comput.-Aided Des., 40(12), pp. 1067–1079. [CrossRef]
Huang, Y. , and Oliver, J. H. , 1995, “ Integrated Simulation, Error Assessment, and Tool Path Correction for Five-Axis NC Milling,” J. Manuf. Syst., 14(5), pp. 331–344.
Jang, D. , Kim, K. , and Jung, J. , 2000, “ Voxel-Based Virtual Multi-Axis Machining,” Int. J. Adv. Manuf. Technol., 16(10), pp. 709–713. [CrossRef]
Park, J. W. , Shin, Y. H. , and Chung, Y. C. , 2005, “ Hybrid Cutting Simulation Via Discrete Vector Model,” Comput.-Aided Des., 37(4), pp. 419–430.
Li, F. W. B. , Lau, R. W. H. , and Green, M. , 1997, “ Interactive Rendering of Deforming NURBS Surfaces,” Comput. Graphics Forum, 16(3), pp. C47–C56.
Yu, J. , Lynn, R. , Tucker, T. , Saldana, C. , and Kurfess, T. , 2017, “ Model-Free Subtractive Manufacturing From Computed Tomography Data,” Manuf. Lett., 13, pp. 44–47.
Hossain, M. M. , Tucker, T. M. , Kurfess, T. R. , and Vuduc, R. W. , 2016, “ Hybrid Dynamic Trees for Extreme-Resolution 3D Sparse Data Modeling,” IEEE International Parallel and Distributed Processing Symposium (IPDPS), Chicago, IL, May 23–27, pp. 132–141.
Tarbutton, J. A. , 2011, “ Automated Digital Machining for Parallel Processors,” Clemson University, Clemson, SC.
Carter, J. A. , Tucker, T. M. , and Kurfess, T. R. , 2008, “ 3-Axis CNC Path Planning Using Depth Buffer and Fragment Shader,” Comput.-Aided Des. Appl., 5(5), pp. 612–621. http://www.tandfonline.com/doi/abs/10.3722/cadaps.2008.612-621?journalCode=tcad20
Wu, Z. , Tucker, T. M. , Nath, C. , Kurfess, T. R. , and Vuduc, R. W. , 2016, “ Step Ring Based 3D Path Planning Via GPU Simulation for Subtractive 3D Printing,” ASME Paper No. MSEC2016-8751.
Konobrytskyi, D. , 2013, “ Automated CNC Tool Path Planning and Machining Simulation on Highly Parallel Computing Architectures,” Clemson University, Clemson, SC.
Lynn, R. , Contis, D. , Hossain, M. M. , Huang, N. , Tucker, T. M. , and Kurfess, T. R. , 2017, “ Voxel Model Surface Offsetting for Computer-Aided Manufacturing Using Virtualized High-Performance Computing,” J. Manuf. Syst., 43(Part 2), pp. 296–304. [CrossRef]
Hossain, M. M. , Nath, C. , Tucker, T. M. , Vuduc, R. W. , and Kurfess, T. R. , 2016, “ A Graphical Approach for Freeform Surface Offsetting With GPU Acceleration for Subtractive 3D Printing,” ASME Paper No. MSEC2016-8525.
Hossain, M. M. , 2016, “ Voxel-Based Offsetting at High Resolution With Tunable Speed and Precision Using Hybrid Dynamic Trees,” Ph. D. dissertation, Georgia Institute of Technology, Atlanta, GA https://smartech.gatech.edu/handle/1853/56305.
Hossain, M. M. , Hossain, M. M. , Tucker, T. M. , Tarbutton, J. A. , and Kurfess, T. R. , 2017, “ 5-Axis Tool Path Planning Based On Highly Parallel Discrete Volumetric Geometry Representation—Part I: Contact Point Generation,” Comput. Aided Des. Appl. (accepted).
Tournier, C. , and Duc, E. , 2005, “ ISO-Scallop Tool Path Generation in 5-Axis Milling,” Int. J. Adv. Manuf. Technol., 25(9–10), pp. 867–875. [CrossRef]
Farouki, R. T. , and Li, S. , 2013, “ Optimal Tool Orientation Control for 5-Axis CNC Milling With Ball-End Cutters,” Comput. Aided Geom. Des., 30(2), pp. 226–239. [CrossRef]
Wang, N. , and Tang, K. , 2007, “ Automatic Generation of Gouge-Free and Angular-Velocity-Compliant Five-Axis Toolpath,” Comput.-Aided Des., 39(10), pp. 841–852. [CrossRef]
Lauwers, B. , Dejonghe, P. , and Kruth, J. P. , 2003, “ Optimal and Collision Free Tool Posture in Five-Axis Machining Through the Tight Integration of Tool Path Generation and Machine Simulation,” Comput.-Aided Des., 35(5), pp. 421–432. [CrossRef]
Yang, Z. Y. , Chen, Y. G. , and Sze, W. S. , 2002, “ Layer-Based Machining: Recent Development and Support Structure Design,” Proc. Inst. Mech. Eng., Part B, 216(7), pp. 979–991. [CrossRef]
Zhu, Z. , Dhokia, V. G. , Nassehi, A. , and Newman, S. T. , 2013, “ A Review of Hybrid Manufacturing Processes—State of the Art and Future Perspectives,” Comput. Integr. Manuf., 26(7), pp. 596–615.
Ambriz, R. R. , and Jaramillo, D. , 2014, “ Mechanical Behavior of Precipitation Hardened Aluminum Alloys Welds,” Light Metal Alloys Applications, InTech, Vienna, Austria, pp. 35–59. [CrossRef] [PubMed] [PubMed]
Xu, X. J. , Bradley, C. , Zhang, Y. F. , Loh, H. T. , and Wong, Y. S. , 2002, “ Tool-Path Generation for Five-Axis Machining of Free-Form Surfaces Based on Accessibility Analysis,” Int. J. Prod. Res., 40(14), pp. 3253–3274. [CrossRef]


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Fig. 1

Surface representation by voxels

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Fig. 2

WYSIWYG approach to CAM using SculptPrint

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Fig. 3

Part and contact volumes for ball-in-socket assembly: (a) part volume and (b) offset volume

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Fig. 5

Degrees-of-freedom in five-axis machining

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Fig. 6

Surface requiring tool attitude control

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Fig. 7

Configuration of the millturn machine

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Fig. 8

Unsupported ball-in-socket assembly

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Fig. 9

Ball-in-socket assembly with support structures

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Fig. 10

Stress analysis of support structures

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Fig. 11

Progression of toolpaths and volume removal on ball-in-socket assembly: (a) start volume, (b) tool pass 1, (c) tool pass 2, and (d) end volume

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Fig. 12

Accessibility maps along toolpath for ball-in-socket assembly

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Fig. 13

Redesigned ball-in-socket assembly suitable for 4 + 1-axis millturn machine

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Fig. 14

Tool accessibility maps for redesigned ball-in-socket assembly: (a) position along toolpath and resulting map and (b) position along toolpath and resulting map

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Fig. 15

Additively manufactured ball-in-socket assemblies in different orientations

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Fig. 16

Machining process for assembly with 4.762 mm gap

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Fig. 17

Result of machining assembly with 4.762 mm gap: (a) voxel model and (b) resulting part

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Fig. 18

Ball-in-socket assembly with dislodged supports

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Fig. 4

Determination of tool orientation using accessibility maps

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Fig. 19

Machining progression for ball-in-socket assembly with 3.175 mm gap

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Fig. 20

Completed ball-in-socket assembly with 3.175 mm gap

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Fig. 21

Accessibility simulation and physical result: (a) accessibility simulation and (b) physical result at machine tool




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