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research-article

Accelerated Thermal Simulation for 3D Interactive Optimization of CNC Sheet Metal Laser Cutting

[+] Author and Article Information
Daniel Mejia

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

Aitor Moreno

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

Ander Arbelaiz

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

Jorge Posada

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

Oscar E. Ruiz-Salguero

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

Raul Chopitea

Lantek Investigación y Desarrollo, Parque Tecnológico de Álava, Ferdinand Zeppelin, 2, 01510 Minãno (Araba/Álava), Spain
r.chopitea@lantek.es

1Corresponding author.

ASME doi:10.1115/1.4038207 History: Received May 12, 2017; Revised October 05, 2017

Abstract

In the context of CNC-based (Computer Numeric Control) 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 manuscript presents: (1) an analytic solution to the laser heating problem of rectangular plates for curved laser trajectories and convective cooling, (2) a 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 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 FEA in temperature prediction descends as low as 3.5 %.

Copyright (c) 2017 by ASME
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