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Tellurium Effect on ASTM A 220 Graphite Malleable Cast Iron Mohammad Nur Hidajatullah; Achmad Sambas; Khansa Sarah Puspita
Logic : Jurnal Rancang Bangun dan Teknologi Vol 19 No 1 (2019): March
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1525.921 KB) | DOI: 10.31940/logic.v19i1.1274

Abstract

The result of investigation of tellurium malleable cast iron are presented in the paper. Various small quantity of tellurium are added in the ladle before pouring molten metal. The main aim of investigation was determination of the influence composition of tellurium on graphite microstructure and mechanical properties. In addition, the final mechanical property of composition determined by hardness measurements. The favourable influence of the addition of tellurium into malleable cast iron molten metal on the tested properties after annealing as well as an percentation of graphite structure from 2% up to 6.5% and increase hardness from 38 HRc up to 43 HRc
OPTIMASI PARAMETER PEMBUBUTAN PADA MATERIAL AISI 4340 MENGGUNAKAN METODE TAGUCHI DAN GREY RELATIONAL ANALYSIS Otto Purnawarman; Achmad Sambas; Bella Rukmana
Jurnal Teknologi Terapan Vol 10, No 1 (2024): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v10i1.510

Abstract

In the turning process, the parameters of cutting speed (Vc), feed rate (f), and nose radius (rε) are things that influence the quality of the product. This study aims to optimize the relationship between the parameters of tool wear and surface roughness. AISI 4340 low alloy steel workpiece material and carbide insert cutting tools are used. The method used is a statistical application approach with the Taguchi method, gray relational analysis (GRA) techniques to get the best level combination for multi-response results and Analysis of variance (ANOVA) to determine factors that affect tool wear and surface roughness. The factor used is cutting speed. (Vc), feed rate (f), and nose radius (rε) with three levels and the responses are surface roughness (Ra) and tool wear (VB). The results of the ANOVA show that cutting speed (Vc) and feed rate (f) are significant factors for surface roughness and tool wear. The optimal factor level values for obtaining surface roughness (Ra) and minimum tool wear (VB) were Vc level 1 = 73.73 m/min, f level 1 = 0.1 mm/rev, and rε level 1 = 1.2 mm.
Analisa Keseragaman Distribusi Kekerasan Material AISI 4140 pada Produk Coran Crusher Tip Reza Yadi Hidayat; Achmad Sambas; Epan Abdulah
JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Vol 4 No 2 (2022): Volume: 4 | Nomor: 2 | Oktober 2022
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v4i2.98

Abstract

Crusher Tip is one component in a shredder machine which has a primary function as a destroyer of mined rock as raw material for cement. The function requires Crusher Tip has toughness and high wear resistance. Several ways have been made ranging from reconditioning by welding and the development of manufacturing components with a suitable material. AISI 4140 material selection is the result of previous studies which concluded that the material is suitable as a material component Crusher Tip. However, the value in the study of violence reaches 25 HRC, where the value is still below the desired hardness value. The expected value of hardness for AISI 4140 material is above 40 HRC. The study was conducted on existing castings product, by reviewing previous research data and will make the process of re-heat treatment (Repair Heat treatment), with a variation of tempering temperature 205oC and 380oC. Then analyzed the mechanical properties and microstructure of materials, shows the increase in hardness. Results of the study can be used as a reference for a suitable heat treatment process on AISI 4140 material.
Developing Algorithm for Security System in Smart Door Lock and Fire Extinguishing Spray System Utilizing the CtrlX Platform Yuliadi Erdani; Mochammad Naufal; Muhammad Giriarda Abrari; Herman Budi Harja; Achmad Sambas; Siti Aminah
Informatik : Jurnal Ilmu Komputer Vol 22 No 1 (2026): April 2026
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v22i1.12293

Abstract

Industries face high risks from unauthorized access and fire hazards, necessitating reliable and responsive safety systems. This research presents the design and evaluation of an IIoT-based smart door lock and fire extinguishing system utilizing the CtrlX Automation platform. The system integrates RFID and fingerprint-based access control with temperature, gas, and flame sensors supported by edge-AI processing. Experimental results from 12 trials demonstrated an average fire detection time of 344.25 ms, smoke detection accuracy of 92.21%, sprinkler actuation delay of 515.58 ms, evacuation door unlocking time of 811.50 ms, and cloud log reliability of 99.70%, with a 14.42% reduction in false alarms. Extended scenarios using various fire sources (paper, plastic, oil), sensing distances (1–3 m), and environmental interferences (airflow, smoke particles) confirmed the robustness of the system. Communication security was validated using MQTT over TLS with AES encryption, resulting in a latency overhead of only 8 ms, while the IDS demonstrated 96.2% detection accuracy against simulated DoS attacks. These findings indicate that the proposed system achieves fast detection, high accuracy, and reliable communication compared to conventional systems, thereby enhancing industrial and smart building safety.