ArticleACS omega2025
Optimization of the Mechanical Response in MEX Additive Manufacturing of Thermoplastic Polyimide (PI): The Impact of Key Process Control Settings.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Optimization of Silicon Nitride Nanopowder Content in Polyamide 12 (PA12) in Extrusion-Based Additive Manufacturing.Nanomaterials (Basel, Switzerland) · 2025Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-performance polymers have made significant progress in the field of three-dimensional (3D) printing. An increasing number of investigations have exploited these unique properties. In this context, polyimide (PI) optimization efforts for the mechanical response of 3D printed samples were performed. Such an endeavor remains unexplored thus far because of the high processing temperature required, high material cost, and complex rheological behavior. The PI filament was extruded for the 3D printing of the specimens (material extrusion, MEX). The specimens were used for mechanical and morphological examinations. The L16 Taguchi design was employed with the raster orientation, hot-end temperature (HT), printhead velocity (PV), internal fill ratio, and deposition width as generic variable control parameters. The output metrics were the ultimate yield strength, Young's modulus, and toughness (tensile test). Reduced quadratic regression (RQRM) and linear regression models were applied and compared. RQRM was found to be the most beneficial. The ranks indicated a significant influence of the PV parameter on the majority of the responses. HT was not highly ranked. High determination coefficients (
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