A bioinspired optimization strategy: to minimize the travel segment of the nozzle to accelerate the fused deposition modeling process

• Autorzy: Sridhar Sundarraj , Aditya K. , Venkatraman Ramamoorthi , Venkatesan M.

Identyfikatory

DOI

10.24425/bpasts.2023.146236

• Języki publikacji: EN

Abstrakty

EN

The fused deposition modeling process of digital printing uses a layer-by-layer approach to form a three-dimensional structure. Digital printing takes more time to fabricate a 3D model, and the speed varies depending on the type of 3D printer, material, geometric complexity, and process parameters. A shorter path for the extruder can speed up the printing process. However, the time taken for the extruder during printing (deposition) cannot be reduced, but the time taken for the extruder travel (idle move) can be reduced. In this study, the idle travel of the nozzle is optimized using a bioinspired technique called "ant colony optimization" (ACO) by reducing the travel transitions. The ACO algorithm determines the shortest path of the nozzle to reduce travel and generates the tool paths as G-codes. The proposed method’s G-code is implemented and compared with the G-code generated by the commercial slicer, Cura, in terms of build time. Experiments corroborate this finding: the G-code generated by the ACO algorithm accelerates the FDM process by reducing the travel movements of the nozzle, hence reducing the part build time (printing time) and increasing the strength of the printed object.

Słowa kluczowe

EN

additive manufacturing; fused deposition modeling; extruder path; ant colony optimization; build time

PL

produkcja dodatkowa; modelowanie osadzania stopionego; ścieżka wytłaczarki; optymalizacja kolonii mrówek; czas budowy

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2023
• Tom: Vol. 71, nr 4
• Strony: art. no. e146236
• Opis fizyczny: Bibliogr. 35 poz., rys., tab.

Twórcy

autor

Sridhar Sundarraj

• School of Mechanical Engineering, SASTRA Deemed University, Tamil Nadu, Thanjavur-613401, India

• https://orcid.org/0000-0002-0034-5653

autor

Aditya K.

• School of Mechanical Engineering, SASTRA Deemed University, Tamil Nadu, Thanjavur-613401, India

autor

Venkatraman Ramamoorthi

• School of Mechanical Engineering, SASTRA Deemed University, Tamil Nadu, Thanjavur-613401, India

• https://orcid.org/0000-0003-4026-330X

autor

Venkatesan M.

• School of Mechanical Engineering, SASTRA Deemed University, Tamil Nadu, Thanjavur-613401, India

• https://orcid.org/0000-0002-6513-7556

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).