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ZENODO
Part of book or chapter of book . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Part of book or chapter of book . 2025
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2025
License: CC BY
Data sources: Datacite
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Automated Design of 3D Printed Biomedical Products with Use of Knowledge-Based Engineering (KBE)

Authors: Górski, Filip; Żukowska, Magdalena; Wierzbicka, Natalia; Wichniarek, Radosław; Comsa, Dan-Sorin; Smolarek, Emilia;

Automated Design of 3D Printed Biomedical Products with Use of Knowledge-Based Engineering (KBE)

Abstract

The chapter presents an integrated approach to the design of anatomically customized biomedical products, combining the principles of Knowledge-Based Engineering (KBE) with additive manufacturing technologies. The rapid advancement of digital engineering tools and the growing demand for patient-specific treatment necessitate a shift from traditional, manually driven workflows toward automation grounded in formalized expert knowledge. Key CAD modelling methodologies, both parametric and non-parametric, are discussed, alongside their applications in the design of prostheses, orthoses, implants, and surgical models. The chapter outlines the development of intelligent CAD models, automated design systems, and the progressive transition from conventional to fully automated design environments. Particular attention is given to the structure and classification of engineering knowledge, its capture, representation, and implementation within KBE systems that enable large-scale mass customization of biomedical products. The use of Finite Element Analysis (FEA) for evaluating and optimizing the mechanical performance of additively manufactured orthopedic devices is also presented. Ultimately, the chapter emphasizes that digital transformation and knowledge-based automation reconcile individual patient needs with industrial-scale production, defining a new paradigm of innovation in biomedical engineering.

Keywords

prosthetic devices, anatomically shaped devices, Biomedical Engineering, CAD, 3D printing, knowledge-based engineering, FOS: Medical engineering, automated design

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green