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ANALISA EFEKTIVITAS MESIN STEEL CALENDER MENGGUNAKAN METODE TOTAL PRODUCTIVE MAINTENANCE (TPM): ANALYSIS OF EFFECTIVENESS OF STEEL CALENDER MACHINE USING TOTAL PRODUCTIVE MAINTENANCE (TPM) METHOD Ahmad Zohari
Jurnal Teknologi dan Terapan Bisnis Vol. 2 No. 1 (2019): Vol 2 No 1 (2019): Jurnal Teknologi dan Terapan Bisnis
Publisher : UPPM Akademi Komunitas Semen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.0301/jttb.v2i1.58

Steel calendar machine is a machine that combines compound and steel became steel treatment and then will be processed on a steel cutting machine to make a steel belt. The steel calender machine used in this process has a high losstime. Therefore, the study was conducted using the total productive maintenance (TPM) method to determine its effectiveness by measuring the Overall Equipment Effectiveness (OEE) and the six big losses. Data collection is taken from barcode sistem material that is carried out for 3 months from January 2018 to March 2018. Given the value of OEE in January 2018 of 43%, February 2018 of 41%, and in March 2018 was 58% for six big losses value is equipment failure losses of 3.32%, set up and adjustment of 22.37%, reduce Speed losses of 2.35%, idling minor and stoppages by 2.01%, defect losses by 0.45%. Based on the analysis, the most dominant losstime for 3 months resulted in low value of OEE is losing size and six big losses in set up and adjustment. In April the engine improves the 4M barcode sistem and the wire up schedule on the machine, and got the OEE value in April of 51% with six big losses of 30%.

Analisa Desain Rangka Alat Compact Heat Induction Press Menggunakan Metode Finite Element Analysis Ilham Taufik Maulana; Ahmad Zohari; Adik Susilo Wardoyo; Pilar Adhana Heryanto
Jurnal Engine: Energi, Manufaktur, dan Material Vol 5, No 2 (2021)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v5i2.894

In manufacturing technology, accuracy, effectiveness, and efficiency are important factors because the use of technology is expected to maximize quality and quantity with existing resources. The manufacturing process is the process of making products starting with the selection of raw materials and the machining process following the design to suit the needs. In other words, design is the main thing before carrying out manufacturing activities. Meanwhile, in designing a machine, it is necessary to have a material selection procedure according to the application conditions. The strength of the material can be obtained by simulating it using the Finite Element Analysis (FEA) method. This simulation aims to determine the maximum safe load limit on the tool frame design. In this study, the design of the tool frame made was given 5 loading treatments, the minimum loading was 50kg and the maximum loading was 200kg. Based on the simulation results, the maximum safety factor occurs at 50 kg loading of 10,019 ul and the minimum safety factor occurs at 200 kg loading with a value of 3.60064 ul. Based on the analysis of the load given to the frame of the compact press and sintering tool that the designed tool is safe.

ANALISA EFEKTIVITAS MESIN STEEL CALENDER MENGGUNAKAN METODE TOTAL PRODUCTIVE MAINTENANCE (TPM): ANALYSIS OF EFFECTIVENESS OF STEEL CALENDER MACHINE USING TOTAL PRODUCTIVE MAINTENANCE (TPM) METHOD Ahmad Zohari
Jurnal Teknologi dan Terapan Bisnis Vol. 2 No. 1 (2019): Vol 2 No 1 (2019): Jurnal Teknologi dan Terapan Bisnis
Publisher : UPPM Akademi Komunitas Semen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.0301/jttb.v2i1.58

Steel calendar machine is a machine that combines compound and steel became steel treatment and then will be processed on a steel cutting machine to make a steel belt. The steel calender machine used in this process has a high losstime. Therefore, the study was conducted using the total productive maintenance (TPM) method to determine its effectiveness by measuring the Overall Equipment Effectiveness (OEE) and the six big losses. Data collection is taken from barcode sistem material that is carried out for 3 months from January 2018 to March 2018. Given the value of OEE in January 2018 of 43%, February 2018 of 41%, and in March 2018 was 58% for six big losses value is equipment failure losses of 3.32%, set up and adjustment of 22.37%, reduce Speed losses of 2.35%, idling minor and stoppages by 2.01%, defect losses by 0.45%. Based on the analysis, the most dominant losstime for 3 months resulted in low value of OEE is losing size and six big losses in set up and adjustment. In April the engine improves the 4M barcode sistem and the wire up schedule on the machine, and got the OEE value in April of 51% with six big losses of 30%.

The Analysis effectiveness of heat rate in 1000℃ furnace by considering the dimensions of walls melting container Ahmad Zohari; Ilham Taufik Maulana; Eka Bima Saputra; Adik Susilo Wardoyo
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 10 No 1 (2023): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v10i1.395

The metal smelting business is expanding, moving from combustion-based to electric-powered smelts. By adjusting the quantity of electrical power that enters the heater to be transformed into heat, the temperature of the melting chamber can quickly approach 1000°C. But if the thermal resistance is unable to slow down the rate of heat transfer from the smelting chamber to the outside, the temperature inside the smelting chamber can likewise fall quickly. If that keeps happening, the furnace machine's temperature of 1000°C cannot be reached, which makes the smelting process less than ideal. So that the temperature of the smelting chamber can be maximized, an examination of the thermal resistance factor is required in order to estimate the value of the thermal resistance on the wall. To obtain information on wall dimension fluctuation, the procedure involves gathering data from references and actual measurements of the furnace. Based on the findings, it was determined that the temperature of the environment had an impact on the heat resistance values measured. (T2 = 25.8°C), the melting chamber's temperature (T1 = 1000°C), the fire brick's thermal conductivity at k=4.78 J/s m° C, as well as the variation area and wall thickness the resultant resistance increases with increasing wall thickness. The highest resistance rating is 4.389R with a 150 mm wall thickness. Otherwise, the resistance is higher when a smaller portion of the wall is employed. On a 3600 mm2 wall area, the resistance value with the highest value is 2.905R. In order to increase the temperature of the smelting chamber, a furnace with wall dimensions that have a significant thickness value and a compact area can generate the best thermal resistance

ANALISA EFEKTIVITAS MESIN STEEL CALENDER MENGGUNAKAN METODE TOTAL PRODUCTIVE MAINTENANCE (TPM): ANALYSIS OF EFFECTIVENESS OF STEEL CALENDER MACHINE USING TOTAL PRODUCTIVE MAINTENANCE (TPM) METHOD Ahmad Zohari
Jurnal Teknologi dan Terapan Bisnis Vol. 2 No. 1 (2019): Vol 2 No 1 (2019): Jurnal Teknologi dan Terapan Bisnis
Publisher : Program Studi Teknologi Informasi

Steel calendar machine is a machine that combines compound and steel became steel treatment and then will be processed on a steel cutting machine to make a steel belt. The steel calender machine used in this process has a high losstime. Therefore, the study was conducted using the total productive maintenance (TPM) method to determine its effectiveness by measuring the Overall Equipment Effectiveness (OEE) and the six big losses. Data collection is taken from barcode sistem material that is carried out for 3 months from January 2018 to March 2018. Given the value of OEE in January 2018 of 43%, February 2018 of 41%, and in March 2018 was 58% for six big losses value is equipment failure losses of 3.32%, set up and adjustment of 22.37%, reduce Speed losses of 2.35%, idling minor and stoppages by 2.01%, defect losses by 0.45%. Based on the analysis, the most dominant losstime for 3 months resulted in low value of OEE is losing size and six big losses in set up and adjustment. In April the engine improves the 4M barcode sistem and the wire up schedule on the machine, and got the OEE value in April of 51% with six big losses of 30%.

ANALYSIS EFFECT OF WALL DIMENSIONS ON THERMAL RESISTANCE IN FURNACE INDUCTION 1200 ⁰C Ahmad Zohari; Eka Bima Saputra; Rivaldo Rivaldo; Sigit Ariyanto; Andriansyah Andriansyah
Jurnal Dinamika Vokasional Teknik Mesin Vol 8, No 1 (2023)
Publisher : Department of Mechanical Engineering Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/dinamika.v8i1.53747

The development of metal hardening industry using electrical induction to increase the hardening temperature chamber is very quick. The temperature can reach 1200 °C in short time by adjusting the electricity input to heater. However, the temperature can also decrease significantly, if the thermal resistance of room cannot prevent heat transfer to outside. The research method uses analysis of other research and direct measurements on induction furnace machine. The machine specifications have maximum room temperature (T1= 1200 ℃), surrounding temperature (T2= 25.8 °C), and the firebrick thermal conductivity (k= 4.78 J/s m°C). Researchers focused on testing variations dimensions (breadth and thickness) of walls. Based on calculation results, the best thermal resistance is 1.1308 in dimension 2 with breadth of 259 cm2 and thickness of 14 cm. This is in accordance with theory of thermal resistance that the higher thermal resistance produced, the higher ability of material to inhibit rate of heat flow.

The Analysis Static of Chassis Robot Arm as Design Modification Induction Melting Furnace Machine Using FEA Method Eka Bima Saputra; Ahmad Zohari; Andriansyah; Wahyu Bambang Sulistyo
Journal of Renewable Energy and Mechanics Vol. 6 No. 02 (2023): REM VOL 6 NO 02 2023
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/rem.2023.vol6.no02.14344

Induction furnace is a metal melting furnace that uses heater. The high temperatures can cause work accidents if not carefully. The cause of work accidents, especially machines is had mistake when initially machine designed. An alternative solution is to make improvements the machine. The researcher made a robot arm design that functions to transfer melting products and reduce work accidents like being exposed to melted metal. The researcherâ€™s purpose is to analyze the design static of robot arm as modification induction melting furnace machine. The method is to study previous research literature related to static simulation. Researchers use the SolidWork premium 2018 software which consists of stress (von mises), displacement, and FOS (factor of safety) calculations. Based on the static simulation results, it can be concluded that the highest values â€‹â€‹of simulated stress (von mises) at 5N, 10N, and 15N loads were 13.926Mpa, 27.728Mpa, and 41.531Mpa which categorized as feasible because they were below yield strength value of 64.205Mpa. Simulation displacement, the design experienced the most significant deformation at 15N load with value of 0.337 mm. The FOS (factor of safety) value each loading were 4.610; 2.315; and 1.474 which fulfills the static load safety requirement 1.25.

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