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Noviarianto, Noviarianto
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Pengaruh Quenching Terhadap Sifat Mekanik dan Struktur Mikro Baut Connecting Rod Bekas Untuk Alat Gesek FSW Ari Putranto, Wahyu; Khaeroman; Susanto; Herdawan, Deri; Noviarianto
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2531

Abstract

One method of joining soft metals such as aluminum that is widely used is Friction Stir Welding (FSW). The friction tool is a very important part of FSW. Friction tools are usually made from hardened H13 steel. This research aims to make a friction tool from steel connecting rod bolts used in marine diesel engines. The experimental methods used include FSW tool design, heat treatment of the material at a temperature of 900oC followed by a quenching process with water and salt water cooling media, then continued with material testing (chemical composition test, hardness test, and micrographic test). The test results obtained from the chemical composition test show that the connecting rod bolts include AISI 4145 steel material. The highest hardness value obtained from the connecting rod steel in the saltwater quenching process was 52.67 HRC with a martensite phase, as seen from the micrographic test. Used steel connecting rod bolts from marine diesel engines can be used as FSW friction tool material.
A SIMPLE STRATEGY OF LINEAR REGRESSION ON 8-BIT MICROCONTROLLER ADC TO IMPROVE SENSOR VALUE READING ACCURACY Tur, Turahyo; novi, Noviarianto
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 4 (2025): Vol. 2 No. 4 Edisi Oktober 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i4.1468

Abstract

This study proposes a linear regression-based intelligent calibration approach to improve the accuracy of water turbidity sensor readings in an Arduino microcontroller-based embedded system. The primary objective of this research is to develop a mathematical model capable of converting analog values ​​from the Analog-to-Digital Converter (ADC) into a numerical representation that reflects the actual water turbidity level in Nephelometric Turbidity Units (NTU). The calibration process was performed using a standard Hanna Turbidity Meter with water samples ranging from 0.56 NTU to 500 NTU. Measurement results demonstrated a strong linear relationship between the ADC value (495–686) and NTU, with an average system accuracy level above 90%. Comparison of sensor measurements with the standard instrument showed an error margin below 5%, confirming the reliability of the linear regression model in compensating for optical sensor nonlinearities.
Optimization of CNC Machining Parameters (Cutting Speed and Feed Speed) on 7075 Aluminum Material to Achieve Minimum Surface Roughness Harsono, Prijo; Suyono, Suyono; Noviarianto, Noviarianto; Putranto, Wahyu Ari
Indonesian Research Journal on Education Vol. 5 No. 6 (2025): Irje 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v5i6.3671

Abstract

This study examines the optimization of CNC milling machining parameters on 7075 aluminum material to achieve minimum surface roughness through a qualitative research approach. 7075 aluminum is a high-grade aluminum alloy with superior mechanical properties that is widely used in the aviation and automotive industries. The study was conducted by analyzing the effect of cutting speed (Vc) and feed rate (f) on the surface quality of the machined results. The research method uses a qualitative descriptive approach through in-depth observation data collection techniques, structured interviews with operators and technicians, and documentation of the machining process. Research data were obtained from surface roughness measurements using a surface roughness tester (Ra) and visual analysis using machine vision techniques. The results of the analysis show that the combination of an optimal cutting speed of 300-400 m/min and a feed rate of 0.1-0.15 mm/rev produces the lowest surface roughness on 7075 aluminum material. The use of appropriate coolant and maintenance of carbide cutting tools are very significant in achieving optimal surface results. The findings of this study are expected to provide practical guidance for the manufacturing industry in optimizing the CNC machining process for 7075 aluminum material to improve product quality and productive efficiency while still considering industrial sustainability.
Co-Authors Akhmad Nuriyanis Anwar, Amthori Arif Rakhman Suharso Bayu Wantoro, Widar Deri Herdawan Dwi Retnandari, Septina Eka Firmansyah Fransisco Danang Wijaya Harsono, Prijo Heri Kiswanto Hero Budi Santoso Hero Budi Santoso Hidayat, Ihsan Ilham Putranto, Angga Iqbal Alansyah, Fardian Janes Ginting, Harjun Joko Triyono Khaeroman Khaeroman, Khaeroman Kiswanto, Heri Kiswanto Nugroho, Anang Budhi Nur Kholis Oscar, Yulius P Tony Kusumartono P. Tony Kusumartono P. Tony. Kusumartono Prijantono Dillyanto Purwanto Rahindra Bayu Kumara Rifki Arya Wiguna Santoso, Hero Budi Sekti, Irsat Surya Sri Tutie Rahayu Supardi Supardi SUSANTO Susanto Susanto Susanto Susanto Suyono Suyono Suyono Suyono Tony Kusumartono Tur, Turahyo turahyo, Turahyo Ulum, Rizka Noor Miftakhul Wahyu Ari Putranto Widar Bayu Wantoro