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AUSTENIT
Published by Politeknik Negeri Sriwijaya
ISSN : 20851286     EISSN : 26227649     DOI : https://doi.org/10.53893/austenit
Core Subject : Science, Engineering,
Automotive Engineering Control & Systems Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
AUSTENIT (pISSN 2085-1286 and eISSN 2622-7649) is a peer-reviewed open access journal published by Mechanical Engineering Department, Politeknik Negeri Sriwijaya. Focused on original articles in the form of technical and vocational research results or literature review which provides insight in the field of mechanical engineering and machinery that includes Mechanical Structure, Manufacturing, Metallurgy Sciences and Engineering, Design Engineering, Maintenance and Repair Engineering, Fluid Dynamics, HVAC (Heating, Ventilation and Air Conditioning), Heat-Mass Transfer, Sustainable Renewable Energy, Mechatronic and Control Systems or as well as other related Mechanical Engineering field study.
Arjuna Subject : -
Articles 225 Documents
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INVESTIGATION OF FACTORS CAUSING CRACKS IN PRIMARY AIR TUBE BOILERS (CASE STUDY) Putra, Aldony Reco; Syafrullah, Muhammad Deddy; Yuliansyah; Tolusha, Muhammad Rizky; Mahendra, Nanda Yusril
AUSTENIT Vol. 17 No. 1 (2025): AUSTENIT: April 2025
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/austenit.v17i1.10318

Abstract

The primary air tube in the boiler is an important component because it has the function of supplying air that will be used in the combustion process. The reliability of the function of the primary air tube contributes to the quality of the combustion results in the boiler. The purpose of this study is to investigate and analyze the causes of cracks that occur in the primary air tube boiler. The method used in conducting the analysis is using SEM (Scanning Electron Microscope) and microstructure. SEM testing will be used to study the morphology of the crack surface in detail, identify the crack propagation mechanism, and see any indications of corrosion or other elements that may be the cause of damage. Meanwhile, microstructure analysis aims to observe the internal composition of the material to ensure whether there is a structural mismatch that affects the strength and resistance of the material to operational conditions. Based on the test results obtained, there are indications of cracks due to square groove welding found in observations with 100x and 400x magnification only on samples 125 and 126. In the microstructure test with the same sample, indications of cracks were also found that occurred from the outside of the stainless compound due to residual stress and changes in atomic structure at the time of its formation and coupled with the corrosive fuel used, but have not spread to the inner carbon steel material.
PENGARUH PADUAN JENIS PLASTIK PP, HDPE, DAN LDPE DAUR ULANG TERHADAP SIFAT MEKANIK BALOK PLASTIK HASIL INEJCTION MOLDING Hendra; Abdulah, Basuki; Ula, Shofiatul; Septiana, Reski; Hernadewita; Hermiyetti
AUSTENIT Vol. 17 No. 1 (2025): AUSTENIT: April 2025
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/austenit.v17i1.10589

Abstract

The abundant amount of plastic waste and the high environmental problems it caused encourage the efforts to utilize recycled plastic materials in various applications, including the manufacture of plastic block produced using injection molding. This study aimed to analyze the effect of a mixture of recycled plastic types (PP, HDPE, and LDPE) on the mechanical properties of plastic blocks. Two of the three types of recycled plastic used were combined with a 1:1 composition and then molded into plastic blocks. Testing was carried out through tensile tests and impact tests to assess the tensile strength and toughness of the material. The results showed that the PP + HDPE alloy produced a tensile stress value of 26.2 MPa, a strain of 29.2%, and an elastic modulus of 89.6 MPa. While the average impact test value of this alloy reached 0.168 Joules/mm² with a maximum bending load of 3.94 kgf/cm². This alloy can be used as a reference material for manufacturing plastic blocks that have good mechanical properties.
ANALISIS GETARAN DAN KETIDAKSEJAJARAN PADA POMPA SENTRIFUGAL: IDENTIFIKASI KERUSAKAN PADA RUBBER COUPLING Fahlovi, Oldy; Ramadhan, Syahri; Setyawan, Hendra
AUSTENIT Vol. 17 No. 1 (2025): AUSTENIT: April 2025
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/austenit.v17i1.10629

Abstract

Kerusakan pada rubber coupling pompa sentrifugal dapat menyebabkan gangguan serius seperti peningkatan getaran, misalignment, serta penurunan efisiensi operasional. Studi ini bertujuan menganalisis penyebab utama kerusakan rubber coupling dan mengidentifikasi faktor-faktor mekanis yang memengaruhi umur pakainya. Metode yang digunakan meliputi inspeksi visual, pengukuran alignment menggunakan metode rim and face, serta analisis getaran dengan vibration analyzer yang dipasang pada titik strategis sistem pompa. Hasil menunjukkan bahwa rubber coupling mengalami kerusakan akibat kombinasi radial misalignment sebesar +0,25 mm dan angular misalignment sebesar -0,08 mm, melebihi batas toleransi standar. Data getaran juga menunjukkan adanya peningkatan signifikan hingga lebih dari 6,5 mm/s RMS, terutama pada arah horizontal, yang mengindikasikan adanya gangguan dinamis seperti ketidakseimbangan dan ketidaksejajaran poros. Spektrum vibrasi memperlihatkan dominasi frekuensi sekitar 1500–1600 CPM dengan amplitudo tinggi, memperkuat bukti kegagalan mekanis akibat beban dinamis berulang. Intervensi melalui perbaikan alignment terbukti menurunkan nilai vibrasi secara drastis dan mengembalikan kestabilan sistem.
OPTIMALISASI SISTEM VENTILASI MEKANIK UNTUK MENINGKATKAN KENYAMANAN TERMAL DI RUANGAN TERPAPAR PANAS MATAHARI Paramadhony; Setiati, Tri Woro; Turnip, Parngongo; Akbar, Imam; Sampurno, Rachmat Dwi; Rachman, Fadhiil Fuad
AUSTENIT Vol. 17 No. 1 (2025): AUSTENIT: April 2025
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/austenit.v17i1.10711

Abstract

Climate change has increasingly influenced thermal dynamics in both outdoor and indoor environments, leading to elevated indoor temperatures that can significantly compromise occupant thermal comfort. This comfort is intrinsically linked to psychological well-being, sleep quality, and overall productivity. Indoor thermal conditions are governed by multiple parameters, including internal and external heat gains, building envelope characteristics, and the effectiveness of ventilation systems. In response, the deployment and optimization of mechanical ventilation systems have become essential strategies in architectural and HVAC design to ensure better indoor environmental quality (IEQ). Moreover, energy-efficient mechanical systems are critical for minimizing operational energy consumption and also for mitigating greenhouse gas (GHG) emissions associated with building operations. This study employs Computational Fluid Dynamics (CFD) simulations to analyze the influence of mechanical ventilation placement on indoor temperature distribution, with a specific focus on enclosures with solar-exposed walls. The findings aim to inform design strategies for ventilation layout optimization that enhance thermal comfort while supporting energy-efficient and sustainable building practices. The research findings indicate that the position of the exhaust fan plays a crucial factor in thermal comfort. When it’s placed near to the heat source, it provides higher airflow near to the heat source that helps maintain temperature stability and prevent the spread of heat throughout the room.
Prediksi beban pendinginan menggunakan Machine Learning dan parameter data cuaca Sholahudin; Firdaus, Nazwan Hafiz; Bhowmik, Mrinal
AUSTENIT Vol. 17 No. 2 (2025): AUSTENIT: Oktober 2025
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/austenit.v17i2.11332

Abstract

Cooling systems account for a substantial amount of end-use energy consumption in building sector. This system is responsible for removing the heat from the building to maintain the indoor temperature at a certain comfort level standard. Prediction of cooling load in a building is useful to design the HVAC system operation and energy management efficiently. This paper presents a method for predicting instantaneous building cooling load, relying on the inputs extracted from weather data and artificial neural networks. The data sets are generated by simulating cooling load at an educational building located in Indonesia for one year using Energy Plus software. The input parameters include dry-bulb temperature, relative humidity, wind speed, wind direction, horizontal infrared radiation rate, diffuse solar radiation rate, and direct solar radiation rate. Analysis of variance and Pearson coefficient of correlation was applied to analyze the relative contribution of individual input parameters on the cooling load. Both methods have consistently shown that the dry bulb temperature is the most influential parameters, while wind speed and wind direction have less significant effect on cooling loads. The result of this study indicates that the optimized ANN model with selected input parameters has successfully predicted the cooling load with coefficient of variation (CV) of 15.26%.

Page 23 of 23 | Total Record : 225

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