Abstract
Abstract Although computer-aided engineering (CAE) software has been used for many years in the plastic industry, identifying the most appropriate mesh geometry and density remains a challenge. It can affect the accuracy of the simulation, the time and the costs. The evaluation of the most suitable mesh is not easy because the difficulties to obtain the real the values of the pressure and temperature inside the mold. The current work investigates this issue. A mold was manufactured and sensors were installed in its interior. CAE simulations using different mesh geometries and densities were evaluated against the experimental data. The results showed that the computational time was mostly influenced by the mesh geometry. The use of 2D mesh and lower density can lead to a faster and more precise simulation of pressure inside the mold and 3D mesh with lower density can provide a faster and precise simulation of the temperature.
Highlights
Plastics have been used for many years to manufacture technical products to supply the automotive, aeronautic, ii) Simulating the molding process: To evaluate the computer-aided engineering (CAE) simulation of the plastic injection molding process, an medical and electrometric industries
The results showed that the computational time was mostly influenced by the mesh geometry
Plastics have been used for many years to manufacture technical products to supply the automotive, aeronautic, ii) Simulating the molding process: To evaluate the CAE simulation of the plastic injection molding process, an medical and electrometric industries
Summary
Plastics have been used for many years to manufacture technical products to supply the automotive, aeronautic, ii) Simulating the molding process: To evaluate the CAE simulation of the plastic injection molding process, an medical and electrometric industries. The higher the mesh density the higher the i) Simulating the plastic product: In CAE, defects in the plastic parts, such as, welding lines and shrinkage, can be simulated[3]. CAE can be used to detect critical regions with heat accumulation, sink marks, residual stress built-up and product warpage[4,5]. In such cases, the accuracy of the CAE simulation can be verified by comparison, accessing the distortion of the manufactured plastic part using a CAD/CAI/ 3D scanner or microscopy for structural analysis and measuring the residual stress. Padilla et al.[6] evaluated the warpage and shrinkage of a product and compared the alterations observed in the experimental injected part with the simulation results
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