Statistic evaluation of optimal ABS fused filament fabrication parameters for wear and tensile strength control Show others and affiliations
2026 (English) In: Plastics, rubber and composites, ISSN 1465-8011, E-ISSN 1743-2898, Vol. 55, no 1-2, p. 3-19Article in journal (Refereed) Published
Abstract [en]
Fused filament fabrication is a rapidly growing 3D printing technique with the ability to produce functional components with complex shapes. The mechanical characteristics of 3D-printed parts are significantly influenced by various process parameters such as layer thickness, infill density, and nozzle temperature, which can influence part's parameters in conflicting ways. This research focuses on identifying the optimum settings for fused filament fabrication of acrylonitrile butadiene styrene. Specifically, the dimensional deviations, mechanical and abrasive wear properties of printed specimens are investigated. Experiments were designed using the Taguchi method with an L9 orthogonal array, to vary the three factors systematically. The results were analysed using analysis of variance, the Taguchi signal-to-noise ratio, and the regression analysis, with multi-response optimisation performed via desirability function analysis. The optimal balance of all three properties was achieved with infill density = 23%, layer thickness = 0.25 mm, and nozzle temperature = 240°C. This work provides a systematic, statistically validated method for multi-criteria optimisation in fused filament fabrication, offering practical guidance for producing acrylonitrile butadiene styrene components that meet multiple performance requirements simultaneously.
Place, publisher, year, edition, pages SAGE Publications , 2026. Vol. 55, no 1-2, p. 3-19
Keywords [en]
acrylonitrile butadiene styrene, dimensional deviation, Fused filament fabrication, multi-response optimization, process parameters, specific wear rate, tensile strength
National Category
Mechanical Engineering
Identifiers URN: urn:nbn:se:kth:diva-373144 DOI: 10.1177/14658011251386263 ISI: 001595457200001 Scopus ID: 2-s2.0-105021353457 OAI: oai:DiVA.org:kth-373144 DiVA, id: diva2:2015440
Note QC 20260120
2025-11-212025-11-212026-03-13 Bibliographically approved