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Teknomekanik
Published by Universitas Negeri Padang
ISSN : 26219980     EISSN : 26218720     DOI : 10.24036/tm.
Core Subject : Engineering,
Mechanical Engineering
Teknomekanik is an international journal that publishes peer-reviewed research in engineering fields (miscellaneous) to the world community. Paper written collaboratively by researchers from various countries is encouraged. It aims to promote academic exchange and increase collaboration among scientists, engineers and researchers to support sustainable development goals.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 3 Documents
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Search results for , issue "Vol. 8 No. 2 (2025): Regular Issue" : 3 Documents clear
SIWEC-R: A rank-sensitive improvement to SIWEC methodology Trung, Do Duc; Özçalıcı, Mehmet; Ersoy, Nazlı; Duc, Duong Van; Bao, Nguyen Chi; Son, Nguyen Hoai
Teknomekanik Vol. 8 No. 2 (2025): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/teknomekanik.v8i2.40172

Abstract

Determining the weights of criteria is a critical step in ranking alternatives characterized by multiple, often conflicting criteria which is a core challenge in Multi-Criteria Decision Making (MCDM). This study introduces the SIWEC-R method, a novel two-stage approach that integrates the SIWEC and R methodology to achieve more accurate and reliable weighting of criteria. Alongside the SIWEC-R method, a new performance metric, the UTAC score, was introduced to capture ranking consistency and strength across various MCDM methods. To ensure a comprehensive evaluation, sensitivity analysis was extended to cover all possible subsets of alternatives, offering an unprecedented level of scrutiny. Comparative assessments across three diverse case studies demonstrated that SIWEC-R consistently outperforms the original SIWEC method, achieving higher Spearman rank correlation coefficients and demonstrating superior robustness under sensitivity analysis. These compelling results firmly establish SIWEC-R as a significant advancement in the field of criteria weighting, delivering enhanced decision-making reliability for complex and uncertain environments.
Investigation of corrosion, hardness, and wear rate of rice husk-zinc composite coating on A36 steel using dual anode electrolytic deposition technique Ajayi, Samuel; Ikubanni, Peter; Onu, Peter; Adekanye, Timothy A.; Oyewo, Abideen T.; Ajide, Olufemi
Teknomekanik Vol. 8 No. 2 (2025): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/teknomekanik.v8i2.42172

Abstract

Zinc-bas ed composite coatings developed from synthetic ceramics (Si3N4, SiC, and Al2O3) have recently been employed as reinforcement to enhance their resistance to deterioration. However, there is limited literature on the utilization of ceramic particles sourced from agro-industrial wastes in the formulation of these coatings. This study investigated the effect of the surface improvement process (SIP) using rice husk (RH) nanoparticles on the hardness and wear rate of A36 steel. The A36 steel, zinc bar, and RH nanoparticles were procured and characterized using Energy Dispersive Spectroscopy (EDS). Four cathode specimens were produced, including an as-received specimen of A36 steel and two anodes of zinc. Four steel specimens coated with Zn-10RH(t25), Zn-10RH(t30), Zn-15RH(t25), and Zn-15RH(t30), denoted as S1, S2, S3, and S4, respectively, were developed with concentrations of 10 or 15 g/L and deposition times of 25 or 30 minutes at a constant cell voltage of 0.5 V. The as-received substrate steel was used as the control specimen (CS). The hardness and wear rate (WR) properties of the deposited samples were examined using Vickers hardness (HV) and a Pin-on-disc tribometer, respectively. All coated specimens exhibited substantial improvements in hardness and wear rate properties compared to CS (Hardness = 85.82±0.45 HV and WR = 2.45±0.34 g/min). For the coated specimens, the hardness and WR values ranged from 188.50 to 288.37 HV, 260.34 to 284.38 MPa, and 0.01 to 0.02 g/min, respectively. The inclusion of the coatings significantly enhanced the mechanical properties of the deposited specimens.
Performance analysis of soybean oil with CuO/Graphene hybrid additive nanoparticles as cutting fluid on CNC machining processes Agus Setiawan; Puspitasari, Poppy; Tauviqirrahman, Mohammad; Pramono, Diki Dwi; Salam, Haipan
Teknomekanik Vol. 8 No. 2 (2025): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/teknomekanik.v8i2.42472

Abstract

This study investigates the performance of soybean oil-based nano-lubricants with CuO, graphene, and CuO/graphene hybrids under MQL-assisted CNC milling of AISI 1045 steel. The research aims to evaluate the thermophysical, rheological, and tribological properties of various lubricant formulations, including pure soybean oil and soybean oil with individual or hybrid nanoparticle additives. Nanoparticles were characterized by SEM, XRD, and FTIR, and fluid samples were evaluated for density, viscosity, thermal conductivity, sedimentation stability, and rheological behavior. Machining performance was assessed through tool wear, surface roughness, cutting temperature, wear debris morphology, and chip color analysis. Results showed that adding graphene nanoparticles significantly improved machining performance, achieving a surface roughness of 1.033 µm, tool wear of 0.0493 mm, and a cutting temperature of 46.1 °C, outperforming both conventional and alternative nanofluid formulations. Among all formulations, the graphene-based nanofluid delivered the lowest cutting temperature, surface roughness, and flank wear under MQL. The CuO/graphene hybrid improved performance relative to the base fluids but did not surpass the graphene formulation, indicating limited synergistic benefits under the present soybean oil-based-MQL conditions.

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