Optimization of Additive Manufacturing Process Parameters for Locally Sourced Polymer Composites in Nigeria's Small-Scale Production Industries

Fused deposition modelling (FDM) holds considerable promise for small-scale manufacturing enterprises across sub-Saharan Africa, yet the high cost of imported filament materials continues to obstruct widespread adoption. Nigeria's agricultural economy generates substantial quantities of agro-waste byproducts — notably cassava starch and palm kernel shell (PKS) — whose conversion into printable polymer composites has received limited systematic investigation, particularly with respect to print parameter optimisation. This study investigated the combined effects of three critical FDM process parameters — nozzle temperature (190–230 °C), infill density (40–100%), and layer thickness (0.1–0.4 mm) — on the tensile strength and surface roughness (Ra) of cassava starch-reinforced polylactic acid (CS/PLA) and palm kernel shell/PLA (PKS/PLA) composite filaments fabricated from locally sourced Nigerian materials. A central composite design (CCD) under response surface methodology (RSM) was employed, yielding 20 experimental runs per composite system. Tensile specimens were prepared in accordance with ASTM D638 Type I geometry, and surface roughness was measured using a contact profilometer. For the CS/PLA composite (10 wt% cassava starch), optimum tensile strength of 47.3 MPa was achieved at 215 °C, 80% infill, and 0.15 mm layer thickness — representing a 23.4% improvement over non-optimised baseline conditions. For the PKS/PLA composite (15 wt% PKS), optimum tensile strength reached 44.8 MPa under comparable parameter settings. Surface roughness was minimised at Ra = 2.14 µm for CS/PLA and Ra = 2.87 µm for PKS/PLA at the lowest layer thickness tested (0.1 mm). Analysis of variance (ANOVA) confirmed that layer thickness exerted the most statistically significant influence on surface roughness (p < 0.001), while infill density was the dominant factor governing tensile performance (p < 0.001). These results demonstrate that agro-waste polymer composites sourced entirely within Nigeria can achieve mechanical and surface quality properties that are broadly comparable to commercial PLA grades, offering a viable cost-reduction pathway for local small-to-medium enterprises (SMEs).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-01
DOI
https://doi.org/10.5281/zenodo.21099382
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
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article

Optimization of Additive Manufacturing Process Parameters for Locally Sourced Polymer Composites in Nigeria's Small-Scale Production Industries

Ogagavwodia Ejovi Okuma
Zenodo (CERN European Organization for Nuclear Research)
Additive Manufacturing and 3D Printing Technologies
article

Optimization of Additive Manufacturing Process Parameters for Locally Sourced Polymer Composites in Nigeria's Small-Scale Production Industries

Ogagavwodia Ejovi Okuma
article en

Abstract

Fused deposition modelling (FDM) holds considerable promise for small-scale manufacturing enterprises across sub-Saharan Africa, yet the high cost of imported filament materials continues to obstruct widespread adoption. Nigeria's agricultural economy generates substantial quantities of agro-waste byproducts — notably cassava starch and palm kernel shell (PKS) — whose conversion into printable polymer composites has received limited systematic investigation, particularly with respect to print parameter optimisation. This study investigated the combined effects of three critical FDM process parameters — nozzle temperature (190–230 °C), infill density (40–100%), and layer thickness (0.1–0.4 mm) — on the tensile strength and surface roughness (Ra) of cassava starch-reinforced polylactic acid (CS/PLA) and palm kernel shell/PLA (PKS/PLA) composite filaments fabricated from locally sourced Nigerian materials. A central composite design (CCD) under response surface methodology (RSM) was employed, yielding 20 experimental runs per composite system. Tensile specimens were prepared in accordance with ASTM D638 Type I geometry, and surface roughness was measured using a contact profilometer. For the CS/PLA composite (10 wt% cassava starch), optimum tensile strength of 47.3 MPa was achieved at 215 °C, 80% infill, and 0.15 mm layer thickness — representing a 23.4% improvement over non-optimised baseline conditions. For the PKS/PLA composite (15 wt% PKS), optimum tensile strength reached 44.8 MPa under comparable parameter settings. Surface roughness was minimised at Ra = 2.14 µm for CS/PLA and Ra = 2.87 µm for PKS/PLA at the lowest layer thickness tested (0.1 mm). Analysis of variance (ANOVA) confirmed that layer thickness exerted the most statistically significant influence on surface roughness (p < 0.001), while infill density was the dominant factor governing tensile performance (p < 0.001). These results demonstrate that agro-waste polymer composites sourced entirely within Nigeria can achieve mechanical and surface quality properties that are broadly comparable to commercial PLA grades, offering a viable cost-reduction pathway for local small-to-medium enterprises (SMEs).

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Additive Manufacturing and 3D Printing Technologies
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