AI Insight
Researchers investigated how geometric parameters of 3D-printed PLA honeycomb sandwich panels affect both flexural strength and mass, testing 18 configurations using a Taguchi experimental design. Honeycomb cell size and cell-wall thickness were found to account for approximately 80% of variation in flexural strength and 85% of variation in mass, but optimal settings for strength differed from those for minimal mass. Using a contribution-weighted multi-response selection method, the team identified a compromise configuration that retained over 90% of maximum flexural strength while reducing mass by more than 50% compared to the strongest design.
Why it matters
This work provides practical design guidance for engineers producing lightweight structural components via fused filament fabrication, particularly relevant for aerospace, automotive, and portable applications where both mechanical performance and weight reduction are critical. The multi-response optimization approach offers a systematic method for balancing competing design requirements in additive manufacturing.
Understand the Science
by Balram Yelamasetti, Abhishek Agarwal, Mahender Thotakuri, I. Sri Phani Sushma, Jamyang Choden, Naveen Kumar P, Harikishor Kumar
Lightweight sandwich structures produced by fused filament fabrication (FFF) require geometric designs that provide adequate mechanical performance without excessive material usage. However, the geometric parameters governing flexural response and structural mass can favour different design configurations, making response-specific parameter selection unsuitable when both requirements must be considered simultaneously. This study experimentally investigates the effects of honeycomb cell size (HCS), honeycomb cell-wall thickness (HCT), top face-sheet thickness (TFS), and bottom face-sheet thickness (BFS) on the flexural strength and mass of FFF-printed polylactic acid (PLA) honeycomb sandwich panels. Eighteen geometric configurations were fabricated according to a mixed-level Taguchi L18 orthogonal array and evaluated by three-point bending and mass measurement. Analysis of means (ANOM) was used to identify response-specific factor levels, while analysis of variance (ANOVA) quantified the relative contributions of the geometric parameters. HCS and HCT accounted for 45.9% and 34.1% of the modelled variation in flexural strength, respectively, whereas HCT and HCS accounted for 50.9% and 34.0% of the modelled variation in panel mass. Because the parameter settings favoured by maximum flexural strength differed from those favoured by minimum mass, the ANOM factor levels were combined with normalized ANOVA contributions in a contribution-weighted multi-response selection procedure. The resulting configuration, HCS = 6 mm, HCT = 1.08 mm, TFS = 1.18 mm, and BFS = 1 mm, produced a flexural strength of 13.21 MPa and a mass of 34.367 g in the validation experiment. Compared with the highest-strength L18 configuration, the selected design retained 90.54% of the measured flexural strength while reducing panel mass by 50.29%. The results indicate that the core-related variables accounted for most of the modelled variation in the two measured responses. Within the investigated design space, the contribution-weighted procedure was used as a study-specific means of reconciling the response-specific factor settings and selecting a candidate strength–mass compromise for experimental evaluation.