Taguchi L9 Orthogonal Array for Wood-PLA Composite Tensile Testing

A 2026 study by Biplab Bhattacharjee presents a Taguchi L9 orthogonal array design of experiments for optimizing Fused Deposition Modelling parameters. The dataset explores three printing factors—layer thickness, infill density, and nozzle temperature—across three infill patterns to enhance the tensile strength of a wood-PLA composite. The optimized configuration achieved a maximum tensile strength of 46.41 MPa, representing a 28% improvement over non-optimized settings.

Use Cases

• Optimize layer thickness, infill density, and nozzle temperature settings to maximize tensile strength in wood-PLA 3D printing.
• Analyze the effect of infill patterns (Triangular, Cubic, Zig-zag) on the tensile performance of bio-composite materials.
• Validate process-property relationships using Analysis of Variance (ANOVA) results from the experimental design.
• Apply the Taguchi L9 orthogonal array framework to replicate the study's optimization for other sustainable composite materials.

Strengths

• Experimental design is a structured Taguchi L9 orthogonal array, a standard for efficient multi-factor testing.
• Results are validated by Analysis of Variance (ANOVA) and report a specific 28% improvement in tensile strength.
• Includes microstructural insights from Scanning Electron Microscopy (SEM) on fibre distribution and bonding.
• Dataset is openly shared under a CC BY 4.0 license, facilitating reuse.

Limitations

• The dataset is very small (5.5 KB), indicating it likely contains only summary or experimental design data, not raw measurements.
• Scope is limited to a specific material composition (80% PLA, 20% wood fibres) and may not generalize to other composites.
• Sample size for each experimental run is not specified, limiting statistical power assessment.

Provenance

Source

figshare, authored by Biplab Bhattacharjee.

Collection Method

Data generated from a controlled Design of Experiments (DOE) study using ISO 527 tensile testing and SEM analysis.

Time Range

Study published in 2026.

Freshness

Last updated in March 2026.