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Journal : Collaborate Daily Book Series

Welding Training Flux Cored Arc Welding (FCAW) in Improving Welding Skills Firman Husain
Collaborate Engineering Daily Book Series Vol. 1 No. 1 June (2023): Chapter Improve Competence To Complete The Requirements For International
Publisher : Collaborate

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Abstract

The connection method using welding has advantages compared to other methods, including better connection efficiency, can be used in constructions that work at high temperatures, and the results are neater. The connection resulting from the welding process is permanent, and the process is faster. However, the quality of welding results is strongly influenced by the skill and ability to weld welder. Therefore, welding training is very important to improve skills, so welding training is held for the community in Laok Jang-Jang Village, Arjasa District, Sumenep Regency, East Java Province. This training includes providing material on Occupational Health Safety (K3), basic FCAW welding, and welding practices. The training results showed an increase in the skills of the trainees, as seen from the welding results, which had no defects. This shows that the trainees have applied the material provided before carrying out Flux Cored Arc Welding (FCAW) welding processes.
Impact and Failure of Internal Pressure of Pipe Connections C Influenced by Sea Water Firman Husain
Collaborate Engineering Daily Book Series Vol. 1 No. 2 December (2023): Chapter Problems and Solutions for Improving Competence and Quality of
Publisher : Collaborate

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Abstract

The consequences of seawater absorption on the impact behaviour of glass/epoxy composite elbow pipe joints were investigated experimentally. Glass-epoxy elbow pipe connections using E-glass and S-glass are made using hand layup. Pipe connections are soaked in water according to current conditions for 0,3 and 6 months. The relationship between unmanaged and aged samples was studied by calculating contact force, displacement, and absorbed energy values ​​from impact tests. Therefore, it is concluded that seawater increases the ageing period of E-glass/epoxy fibre-reinforced composite pipe elbow joints, resulting in degradation between the fibre and resin interface, which is more prominent in elbow joints made with E-glass than in those made with S-fiber—proposed glass.
Reliability Analysis Of Subsea Pipelines In High Wave Random Conditions Firman Husain
Collaborate Engineering Daily Book Series Vol. 1 No. 2 December (2023): Chapter Problems and Solutions for Improving Competence and Quality of
Publisher : Collaborate

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Abstract

To fulfil human energy needs, offshore oil and gas exploration requires an efficient distribution method for oil and gas products. This is because the operating costs of offshore exploration activities are prohibitive. One of the most efficient distribution methods is using underwater pipes. However, in the system, many obstacles pose a risk to pipe safety during installation. Therefore, pipes need to be designed to remain safe during installation. The pipes that are laid fulfil their design objectives as oil and natural gas distribution lines—the standards used in the design process are DnV OS F101 and DnV RP E305. The design and installation analysis process carried out in this study is a pipe with a diameter of 32 inches on the SSWJ-PGN project phase 1 zone 5. The pipe is designed to deal with design environmental parameters in the form of wave height and significant wave period with a return period of one year for installation conditions and a return period of one hundred years for operating conditions. Installation analysis was carried out through modelling in three directions of wave arrival, namely 0°, 45° and 90°. Next, a simulation is carried out with random variables in the form of wave height and steel yield strength to determine the effect of this randomness on the total stress in the pipe during the installation process. The random wave height variable is generated through a stochastic approach, assuming the waves follow the Rayleigh distribution shape. The random variable steel yield strength is generated based on the Log Normal distribution form [1] with a coefficient mean of 1.05 and a coefficient of variation of 0.1. The simulation process was carried out with 100 units of random data each for three directions of wave arrival.