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Research Papers

Accelerated Thermal Simulation for Three-Dimensional Interactive Optimization of Computer Numeric Control Sheet Metal Laser Cutting

[+] Author and Article Information
Daniel Mejia

Laboratory of CAD CAM CAE,
Universidad EAFIT,
Cra 49 no 7-sur-50,
Medellín 050022, Colombia
e-mail: dmejiap@eafit.edu.co

Aitor Moreno

Vicomtech-IK4,
Paseo Mikeletegi 57,
Donostia/San Sebastián 20009, Spain
e-mail: amoreno@vicomtech.org

Ander Arbelaiz

Vicomtech-IK4,
Paseo Mikeletegi 57,
Donostia/San Sebastián 20009, Spain
e-mail: aarbelaiz@vicomtech.org

Jorge Posada

Vicomtech-IK4,
Paseo Mikeletegi 57,
Donostia/San Sebastián 20009, Spain
e-mail: jposada@vicomtech.org

Oscar Ruiz-Salguero

Laboratory of CAD CAM CAE,
Universidad EAFIT,
Cra 49 no 7-sur-50,
Medellín 050022, Colombia
e-mail: oruiz@eafit.edu.co

Raúl Chopitea

Lantek Investigación y Desarroll,
Parque Tecnológico de Álava,
Ferdinand Zeppelin 2,
Miñano (Araba/Álava) 01510, Spain
e-mail: r.chopitea@lantek.es

1Corresponding author.

Manuscript received May 12, 2017; final manuscript received October 5, 2017; published online December 21, 2017. Assoc. Editor: Y. B. Guo.

J. Manuf. Sci. Eng 140(3), 031006 (Dec 21, 2017) (9 pages) Paper No: MANU-17-1318; doi: 10.1115/1.4038207 History: Received May 12, 2017; Revised October 05, 2017

In the context of computer numeric control (CNC)-based sheet metal laser cutting, the problem of heat transfer simulation is relevant for the optimization of CNC programs. Current physically based simulation tools use numeric or analytic algorithms which provide accurate but slow solutions due to the underlying mathematical description of the model. This paper presents: (1) an analytic solution to the laser heating problem of rectangular sheet metal for curved laser trajectories and convective cooling, (2) a graphics processing unit (GPU) implementation of the analytic solution for fast simulation of the problem, and (3) an integration within an interactive environment for the simulation of sheet metal CNC laser cutting. This analytic approach sacrifices the material removal effect of the laser cut in the favor of an approximated real-time temperature map on the sheet metal. The articulation of thermal, geometric, and graphic feedback in virtual manufacturing environments enables interactive redefinition of the CNC programs for better product quality, lower safety risks, material waste, and energy usage among others. The error with respect to finite element analysis (FEA) in temperature prediction descends as low as 3.5%.

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Figures

Grahic Jump Location
Fig. 1

Schematic of the laser heating model. A laser passes an amount of energy f at a sheet location x0, while the sheet cools down due to convection q at the surface.

Grahic Jump Location
Fig. 2

Integration scheme between the physics and geometry modules for interactive simulation of the CNC sheet metal laser cutting

Grahic Jump Location
Fig. 3

Analytic temperature and relative error distribution (with respect to FEA) for the S-shape laser trajectory: (a) analytic temperature distribution at t = 0.12 s and (b) relative error. Analytic versus FEA solution. Relative error below 3.43%.

Grahic Jump Location
Fig. 4

Simulation of the CNC process integrating the physical (512 × 512 Fourier coefficients) and the geometric modules (1024 × 1024 grid points): (a) temperature texture map and (b) visualization of the cutting process in the interactive simulator

Grahic Jump Location
Fig. 5

Central processing unit (CPU) computation times of the Fourier coefficients for a single timestep (as per Eq. (5))

Grahic Jump Location
Fig. 6

The interactive CNC simulator can be used to detect potential problems in the nesting planning due to heat propagation: (a) nesting of the CNC program, (b) overall 3D visualization of the CNC simulation, and (c) detailed inspection near a recent cut. Heat affects posterior cuts

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