#7723. Fast, lean-and-agile, multi-parameter multi-trending robust quality screening in a 3D-printed product

October 2026publication date
Proposal available till 24-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Mechanical Engineering;
Polymers and Plastics;
Industrial and Manufacturing Engineering;
Mechanics of Materials;
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Abstract:
Additive manufacturing (AM) has revolutionized the local production realization of highly customizable items. However, the high process complexity - inherent to AM operations - renders uncertain the quality performance of the final products. Consequently, there is often a need to assess the unique fabrication capabilities of AM against the reoccurring issues of process instability and end-product inconsistency. Improvement opportunities may be identified by empirically exploring the complex phenomena that regulate the quality performance of the final products. Thus, focused quality-screening and process optimization studies should additionally take into account the special need for speedy, practical and economical experimentation.
Keywords:
3D-product improvement; Data messiness/complexity; Fractional factorial designs; Robust multifactorial screening/optimization; Small sample

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