Development of pulse‑electroformed Cu/SiC composite tubes with enhanced mechanical and anti‑corrosion properties

• Autorzy: Rai Prince Kumar , Biswal Hrudaya Jyoti , Gupta Ankur

Identyfikatory

DOI

10.1007/s43452-023-00830-4

• Języki publikacji: EN

Abstrakty

EN

Traditional manufacturing technologies have several limitations to produce precise, small-scale tubular structures while retaining the required functional capabilities. To address this issue, the current work proposes a cost-effective approach for the manufacturing of composite-tubular structures using an “in-house pulse electroforming” setup. With the above-mentioned technique, we have been able to fabricate sustainable composite microtubes with an unprecedented thickness of a mere 20 μm, a feat that has eluded scientific exploration until now. Nanosized SiC particles were also integrated into the Cu matrix to improve the mechanical (via microhardness and compression testing) and corrosion characteristics. The impact of different process variables, such as pulse frequency and duty cycle on surface morphology, microhardness, compression, corrosion, and hydrophobicity were investigated. Cu/SiC microtube exhibits a maximum hardness of 160 HV, which is substantially higher than that of the bare Cu microtubes. The Cu/SiC composite microtubes also exhibit 51% anticorrosion efficiency and approximately two times higher impedance than bare copper microtubes. Furthermore, the compression test confirms the strength of the electroformed Cu/SiC microtubes. Additionally, prediction models for microhardness of structures were developed using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN). Compared to the ANN model, which produced an R2 value of 0.96, the ANFIS model showed more accurate predictions of microhardness values, with an R2 value of 0.99. This fabrication methodology can be envisioned for developing precise, conductive, and anticorrosive tubular structures for various engineering applications.

Słowa kluczowe

EN

pulse-electroforming; Cu microtube; extreme manufacturing; artificial neural network

PL

sztuczna sieć neuronowa; mikrorurka kompozytowa; mikrotwardość

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2024
• Tom: Vol. 24, no. 1
• Strony: art. no. e19, 2024
• Opis fizyczny: Bibliogr. 42 poz., rys., tab., wykr.

Twórcy

autor

Rai Prince Kumar

• Department of Mechanical Engineering, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India

autor

Biswal Hrudaya Jyoti

• Montana Technological University, Butte, MT, USA

autor

Gupta Ankur

• Department of Mechanical Engineering, Indian Institute of Technology Jodhpur, Jodhpur, Rajasthan, India

• https://orcid.org/0000-0001-7855-2145

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025)