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Pengaruh Penambahan Poli Vinil Alkohol (PVA) pada Enkapsulasi Minyak Kacang Kenari dalam Urea-Formaldehid untuk Aplikasi Self-Healing Coating Reviana Inda Dwi Suyatmo; Abdussalam Topandi; Lathiefah Oktriananda Sari; Lukman Nulhakim
Jurnal Teknologi Vol 10, No 2 (2023): Jurnal Teknologi
Publisher : Universitas Jayabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31479/jtek.v10i2.226

Abstract

Self-healing coating is a method that can be used to minimize the impact of cracks on metal surfaces. Self-healing coating repairs cracks without human intervention. In microcapsule self-healing coating, there is a core material and a shell. The core material is the healing agent for surface damage, while the shell will break if a crack occurs, removing the core material. In this study, the core material used is walnut oil which belongs to the drying oil group while the shell material used was urea-formaldehyde. Poly Vinyl Alcohol (PVA) took a role as a surfactant in the microcapsule reaction. The PVA concentrations used were 0%, 3%, 4%, and 5%. The results of the microcapsule diameter test showed that 5% PVA produced microcapsules with the smallest diameter of 90.1426 microns. Based on the results of observations through a microscope, it was also seen that without the addition of PVA, the formation of microcapsule granules did not occur where the results were still agglomerated. The results of the thermal stability test using Thermo Gravimetry Analyzer (TGA) showed that the addition of PVA had no significant effect on the decomposition temperature of the microcapsule where this decomposition temperature was still under the requirements for coating applications. The results of the Scanning Electron Microscope (SEM) test also strengthen the results of microscope. Microcapsules of 5% PVA was better and do not clump when compared to 4% PVA microcapsules.
The Dynamic Simulation of The Benzene and Toluene Distillation Process Abdussalam Topandi; Khadijah Sayyidatun Nisa; Ibnu Maulana Hidayatulloh
Fluida Vol 16 No 1 (2023): FLUIDA
Publisher : Department of Chemical Engineering, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/fluida.v16i1.4497

Abstract

Benzene and toluene are products of petroleum catalytic fractionation and dehydrogenation, which are massively used for industrial purposes. The mixture of these two compounds forms an azeotropic condition that requires high energy and expensive investment. The separation process simulation is the appropriate way to address this problem. The technique of separating benzene and its derivatives from toluene is crucial if the product is to be reused for the following process. We propose a simulation of the separation of benzene and toluene using Aspen HYSYS with several assumptions (Peng-Robinson Fluid Package and Transfer Function Block) and operating conditions settings (pressure, flow rate, and vapor fraction). The simulation results were analyzed by comparing treatments without and with dynamic system settings (sudden and gradual changes in operational parameters for 30 minutes). The simulation results revealed that the stepwise dynamic system configuration might increase 10% extra moles of benzene. In addition, dynamic system settings also significantly affect the concentration of the bottom product.
Comparison of Ergonomic Assessment Results in the Automotive Polymer Industry: Cornell Musculoskeletal Discomfort Questionnaire (CMDQ) and Rapid Upper Limb Assessment (RULA) Methods Khadijah Sayyidatun Nisa; Abdussalam Topandi; Isma Wulansari; Fauziah Aulia; Bismo Zulfikar Mustofa
Jurnal Inotera Vol. 9 No. 1 (2024): January-June 2024
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol9.Iss1.2024.ID309

Abstract

Musculoskeletal disorders (MSDs) encompass injuries to muscles, nerves, joints, and connective tissues, affecting the neck, back, and limbs. The polymer automotive industry, particularly in manufacturing automotive components using plastic injection tools, involves workers with diverse postures. Non-ergonomic postures can lead to muscle tension and health issues, emphasizing the importance of safety and ergonomics. This study employs the Cornell Musculoskeletal Discomfort Questionnaire (CMDQ) and Rapid Upper Limb Assessment (RULA) methods to assess working postures. In the production sector, the average RULA score is 3.8 (31.67%), indicating moderate risk and suggesting further investigation. Conversely, the non-production sector's average RULA score is 3.4 (28.33%), indicating a lower risk but still necessitating changes. CMDQ analysis on 12 respondents reveals posture variation. In the production sector, the average CMDQ score is 2.5 (20.83%), signaling moderate risk and advocating for further investigation. This study lays groundwork for downstream polymer industries to enhance efficiency, quality, and safety.