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Pengaruh Temperatur Pemanasan dan Pendinginan Terhadap Sifat Mekanik Pada Proses Annealing Baja AISI410 Setelah Pengerasan BAYU PRANOTO; Subagiyo Subagiyo; Samsul Hadi
Jurnal Energi dan Teknologi Manufaktur Vol 5 No 02 (2022)
Publisher : Polinema Press, Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jetm.v5i02.132

Abstract

Stainless steel has good mechanical properties compared to other materials for strength and hardness, usually will experience an increase in hardness after hardening. The purpose of this study was to obtain information about: Value of hardness and strength Impact of martensitic stainless steel annealed with variations in temperature and cooling. The research method used is an experimental method, namely by annealing martensitic stainless steel with variations in temperature and cooling rate. The results were tested for Impact and hardness using the Rockwell C (HRC) method with the category of Research Infrastructure development and science and technology in the field of Mechanical Engineering. The research results are expected to be used as an alternative to improve the mechanical properties of materials, especially in the annealing process. The level of technological readiness to be achieved: 2, because in this study a model is made to test the truth of the basic principle that the hardness level of martensitic steel in annealing is influenced by varying temperatures and cooling.
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.