Intelligent Design Optimization System for Additively Manufactured Flow Channels Based on Fluid–Structure Interaction

Abstract

Based on expert system theory and fluid–structure interaction (FSI), this paper suggests an intelligent design optimization system to derive the optimal shape of both the fluid and solid domain of flow channels. A parametric modeling scheme of flow channels is developed by design for additive manufacturing (DfAM). By changing design parameters, a series of flow channel models can be obtained. According to the design characteristics, the system can intelligently allocate suitable computational models to compute the flow field of a specific model. The pressure-based normal stress is abstracted from the results and transmitted to the solid region by the fluid–structure (FS) interface to analyze the strength of the structure. The design space is obtained by investigating the simulation results with the metamodeling method, which is further applied for pursuing design objectives under constraints. Finally, the improved design is derived by gradient-based optimization. This system can improve the accuracy of the FSI simulation and the efficiency of the optimization process. The design optimization of a flow channel in a simplified hydraulic manifold is applied as the case study to validate the feasibility of the proposed system.

Wear Analysis of Additively Manufactured Slipper-Retainer in the Axial Piston Pump

“…Despite all the above-mentioned strengths of AM of final products and its usage in supply chains, the application of this technology in hydraulic solutions is still marginalized. There are only a few works related to the additively manufactured parts dedicated to hydraulic solutions [ 28 , 29 , 30 , 31 ]. The main reason for this phenomenon is wearing products generation, due to significant surface roughness directly after the process [ 32 ].…”