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Geometry Optimization of PET Regrind Plastic Dust Separator Machine Moh. hartono; R.N. Akhsanu Takwim; Subagiyo Subagiyo; Etik Puspitasari; Nila Alia; Radhi Nurvian Amrullah
Evrimata: Journal of Mechanical Engineering Vol. 02 No. 02, 2025
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/evrmata.vi.76

Abstract

This study aims to analyze the effect of various operational factors on the weight of dust collected by a dust collector machine. Using a multilevel factorial design, this study evaluates the interaction between frequency (Hz), hose length (m), and tube height (m). Analysis of variance shows that all three factors have a significant effect on the dust weight response (P-Value <0.05). The regression model with an R² of 99.15% shows a very high prediction accuracy. Parameter optimization was carried out to maximize the weight of dust collected, resulting in optimal conditions at a frequency of 50 Hz, a hose length of 2 m, and a tube height of 0.3 m with a dust weight of 72.75 g.
Analysis of Maintenance Planning and Scheduling of Plastic Packaging Production Machine Spout Products with RCM, RAM, and Preventive Maintenance Methods at PT. X Daniel Chrisnanda; Etik Puspitasari
Nusantara Journal of Multidisciplinary Science Vol. 1 No. 12 (2024): NJMS - Juli 2024
Publisher : PT. Inovasi Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PT. X is a plastic packaging manufacturing company, based on machine comparison in 2023, the spout assembly machine is the most critical machine because of the high frequency of downtime, which is 106 times. With the RCM method and RAM determination of critical components determined by FMEA, the RPN value at the very high-risk level (> 200) is; line feeder (681), gear (608), electric sensor (440) and pneumatic (224). Reliability value electrical sensor component 0.5 at (t) = 96 operating hours, transmission (t) = 108 operating hours, line feeder (t) = 120 operating hours, and pneumatic (t) = 729 operating hours. Maintainability of line feeder components maximally maintained for 3 hours = 81.1%, transmission 5.5 hours = 82%, electrical sensor 1.5 hours = 84.6%, pneumatic 2.5 hours = 83%. The results of maintainability value have been included in the IVARA standard (80%). Inherent Availability (AI) and Operational Availability (AO). AI of line feeder = 98%, transmission = 98%, electric sensor = 99%, and pneumatic = 99%. While the AO value of the line feeder component = 94%, transmission = 92%, electric sensor = 94%, and pneumatic = 85%. AI percentage reached IVARA level, but AO percentage did not reach IVARA level (95%). Maintenance schedule planning is: line feeder repair = 15 days, replacement = 8 weeks, gear; repair = 8 days, replacement = 9 weeks, electric sensor; repair = 178 days, replacement = 50 weeks, pneumatic; repair = 118 days, replacement = 33 weeks. Through the predetermined maintenance cost savings for the company with the comparison results, the estimated savings is Rp83,881,208 or 51.9%