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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 7 Documents
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Search results for , issue "Vol 5 No 2 (2022): Teknomekanik" : 7 Documents clear
Material selection for raw gas pipeline at SBR#2 gas field Rado Riady; Johny Wahyuadi Soedarsono; Rini Riastuti; Iman Adipurnama
Teknomekanik Vol 5 No 2 (2022): Teknomekanik
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.975 KB) | DOI: 10.24036/teknomekanik.v5i2.13372

Abstract

In engineering design, material selection is the process of choosing the best material for a specific process via a systematic material selection approach. This article described the material selection process for SBR#2 pipeline, which will be installed to flow raw gas from SBR#2 field to the nearest tie-in point. The material selection process starts with design requirement analysis to generate primary function and objectives, including its constraints, determine primary criteria to be evaluated, screen materials candidates based on criteria evaluation, and select the most suitable materials based on very specific requirements. The criteria were evaluated by performing value engineering with the performance criteria matrix tool. Materials selection, in this case, was determined by two main criteria: corrosion resistance and construction ability. Corrosion resistance was evaluated semi-quantitatively by applying NORSOK M-506 2005 spreadsheet, and construction ability were evaluated qualitatively based on field experience. Solid Corrosion Resistance Alloy (CRA)-Stainless Steel 316L pipe is the most suitable for this case.
Quality function deployment analysis of smartphones Akhil NSB; Vimal Kumar; Tanmoy De; Suriya Kalangrit
Teknomekanik Vol 5 No 2 (2022): Teknomekanik
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.106 KB) | DOI: 10.24036/teknomekanik.v5i2.14372

Abstract

To utilize the concept of Quality Function Deployment (QFD) and apply it appropriately to address design decisions concerning the quality of cellular phones, a simplified version of the House of Quality (HoQ) will be built. Real customer requirements (CRs) are easier to collect when QFD is employed because it puts the emphasis on the customer and their demands where it should be. After gathering various users' opinions on different smartphone brands and conducting an online survey with mobile users in Taichung, Taiwan, the study highlights the items preferred by most users, such as long-lasting battery life, high-quality camera, reliability, wide screen, ease of use, and lightweight. This aids businesses in translating CRs into primary Design Requirements (DRs) so that they can create superior goods that align with consumer demands.
Numerical analysis of flow characteristics of the oil-water mixture in stratified-annular horizontal pipe Nelvi Erizon; Jasman Jasman; Irzal Irzal; Muhammad Fikhri Aldio; Aprizal Saputra; Chau Trung Tin
Teknomekanik Vol 5 No 2 (2022): Teknomekanik
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (620.401 KB) | DOI: 10.24036/teknomekanik.v5i2.14572

Abstract

The loss of oil fluid flow in the piping system in the petroleum industry due to friction is the cause of low efficiency. To reduce friction loss, the viscosity of petroleum can be lowered by adding water as a mixture. Actually, the flow loss in a piping system is influenced by several factors including flow pattern, fluid type, flow velocity, flow pressure and pipe diameter. This study aims to determine the effect of flow patterns on changes in velocity in the two-phase flow of oil and water in a piping system. This numerical analysis research was carried out using Fluent 6.2 software with variations in the velocity of the oil-water mixture: 0.2, 0.4 and 0.6 m/s. The simulation results show that the greatest pressure loss occurs at a fluid velocity of 0.6 m/s where the flow is stratified mixed. While the smallest pressure loss at a mixture velocity of 0.2 m/s when the flow is stratified smooth. From the results of the study, it can be concluded that the increase in fluid flow velocity has a positive correlation with the increase in the value of flow losses in the pipe.
Cellulose derivative as protection coating: Effect of nanoparticle additives on load capacity Shih-Chen Shi; Xiao-Ning Tsai
Teknomekanik Vol 5 No 2 (2022): Teknomekanik
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (726.948 KB) | DOI: 10.24036/teknomekanik.v5i2.16372

Abstract

The cellulose derivative hydroxypropyl methylcellulose (HPMC) has recently been extensively studied and used in mechanical applications. However, the softness and susceptibility to deformation of HPMC limited its further applications. In this study, metal nanoparticles (nano-aluminum and nano-copper) and nano-metal oxide particles (nano-alumina and nano-copper oxide) were used as additives to HPMC to form a composite film with improved mechanical properties, particularly load capacity. The addition of high levels of additives provided a higher load capacity. Among the nano-additives used in the study, Cu (2 wt.%) provided the composite with the highest load capacity, improving the load capacity of pure HPMC by 250%. The surface treatment of strengthening additives is an important step. Adding specific high-strength and high-modulus metal and metal oxide additives to the soft HPMC matrix can effectively improve the load-bearing capacity of the composite material. This study proposes a simple evaluation method for the load-bearing capability of the coating as well.
Effect of sonication to the stability properties of carboxymethyl cellulose/uncaria gambir extract water-based lubricant Dieter Rahmadiawan; Febrian Ilhamsyah; Hairul Abral; Imtiaz Ali Laghari; Yufrizal A
Teknomekanik Vol 5 No 2 (2022): Teknomekanik
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (367.515 KB) | DOI: 10.24036/teknomekanik.v5i2.16972

Abstract

This study examined the effect of sonication on FTIR and stability at various temperatures in water-based lubricants with a mixture of Carboxymethyl Cellulose (1wt%) and Uncaria Gambir extract (1wt% and 2wt%). The sample was prepared by mixing the two materials into distilled water using a magnetic stirrer and sonicator with time variations of 5 and 10 minutes. Before mixing, the Uncaria Gambir extract solution with water is first centrifuged to remove the dregs in the Uncaria Gambir extract powder. Stability was carried out in an open room (28oC), drying oven (50oC), and refrigerator (5oC). The stability test results showed that the mixture of Carboxymethyl Cellulose and Uncaria Gambir had good stability at all temperatures after sonication for a short duration. The longer sonication duration could fuse the fibrils of Carboxymethyl Cellulose, leading to increasing particle size. FTIR results also show that there is no chemical reaction that occurs. After adding the gambier, there was a new peak at wave 800-1300 cm-1, corresponding to the gambier. The results of this study indicate that the Carboxymethyl Cellulose and Uncaria Gambir solution can be a potential lubricant additive. The Carboxymethyl Cellulose can be a viscosity modifier, while Uncaria Gambir extract for corrosion inhibitor.
Integrating PV plant 689 kWp into Coal-Fired Power Plant (CFPP) 615 MW at Paiton: To reduce auxiliary load and coal consumption Syarief Albar; Jaka Windarta; Asep Yoyo Wardaya; Tarig Elshaarani
Teknomekanik Vol 5 No 2 (2022): Teknomekanik
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.21 KB) | DOI: 10.24036/teknomekanik.v5i2.17072

Abstract

Integrating solar energy into a coal-fired power plant is a promising way to reduce auxiliary load and numerous environmental issues related to the coal-based power generation sector. This paper will discuss the annual performance of PV plant 689 kWp at ash disposal that integrated into 615 MW coal-fired power plant PT xxx, including an estimate of total potential energy that can be generated; analysis of auxiliary load to improve performance and decreasing pollutant emissions by coal consumption reduction. The PV Plant has been operated for at least 2 years, built on an area of 5,000m2, is an On-grid PV Plant system with 11 grid Inverters and has 2,120 solar modules installed. Based on the simulation using Helioscope software, it can generate electrical energy up to 977,442 kWh per year with a performance ratio of 79.3%. The result of the PV plant utilization evaluation shows the amount of electrical energy produced is 1,096,105 kWh in 2021, above the estimation from the simulation. This result means auxiliary power load was decreasing by 0.4932%, It is also considered to be able to save the use of 263.065 kiloliters per year of diesel and also save the use of coal up to 386.634 tons or equivalent to 0.007% coal consumption per year. From an environmental point of view, it is also assessed to reduce CO2 emissions equivalent to 920.729 tons/year and the equivalent of planting 4,602 trees per year.
A Framework of image processing and machine learning utilization for flood disaster management Fazrol Rozi; Indri Rahmayuni; Ardi Syawaldipa; Fitri Nova; Primawati Primawati; Batara Batara
Teknomekanik Vol 5 No 2 (2022): Teknomekanik
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (238.609 KB) | DOI: 10.24036/teknomekanik.v5i2.17372

Abstract

Flood is one of the annual disasters in many places. It has not been well-managed yet both pre-disaster and post-disaster. Image processing and machine learning are commonly utilized for disaster management systems such as forecasting any potential flood by monitoring the water level in rivers and dams. However, it has a limited framework to be implemented as a strategic plan in flood management. Thus, this study aims to develop a framework for image processing and machine learning utilization for flood management. This study involves Padang, West Sumatera, Indonesia as a sample. It was conducted in three stages; 1) categorize the strategic plans and policies; 2) gather relevant literature; 3) analyze data. As findings, this study proposes a framework consisting of enhanced disaster preparedness, improved coping capacity, and completion of post-disaster reconstruction and rehabilitation. Involvement of the government, researchers and industry are mandatory. Government and researchers should collaborate to establish policies and regulations. Researchers should conduct studies with financial support from the industry. Meanwhile, the industry should be a public-private partnership with the government. In addition, the involvement of the private sector and the government are important factors that must exist to support research in this field.

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