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All Journal Rotasi Jurnal Polimesin
Paryanto, P.
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Automotive Engineering Control & Systems Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

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Application of Polishing AISI 316L Stainless Steel Ball Bearing with A Magnetic Abrasive Finishing Process: A Review Munyensanga, Patrick; Paryanto, P.; Aziz, Moh Nor Ali
ROTASI Vol 20, No 4 (2018): VOLUME 20, NOMOR 4, OKTOBER 2018
Publisher : Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.228 KB) | DOI: 10.14710/rotasi.20.4.249-257

Abstract

Advanced machining process telah terbukti dalam teknologi proses rekayasa untuk surface finishing dan proses material removal, atau dengan proses traditional finishing: fase fundamental, unrestrained, dan permintaan tinggi dalam fase tenaga kerja selama produksi. Finishing abrasif magnetik, pada polishing dalam proses non-konvensional mampu menyelesaikan dengan presisi dengan proses pemesinan yang dikontrol oleh medan magnet dan itu tidak berlaku untuk beberapa proses kompleks di mana teknik penyelesaian konvensional dapat dengan mudah diterapkan. Makalah ini mengulas teknik praktis untuk memoles bantalan AISI 316L ST Ball dengan proses finishing abrasif magnetik untuk menyelesaikan desain permukaan bola eksternal. Parameter input yang berbeda dari proses ditinjau seperti kecepatan elektromagnetik, arus dan tegangan langsung yang diinduksi, kepadatan fluks magnetik, jumlah ukuran partikel abrasif, lingkungan kerja, dan bahan benda kerja. Input yang terjadi untuk proses finishing bantalan bola stainless steel dapat memvalidasi kinerja laju material removal rate dan surface roughness.
Comparative time analysis of digital photogrammetry software using AI methods for design recovery in digital manufacturing Paryanto, P.; Faizin, M.; Rusnaldy, R.
Jurnal Polimesin Vol 23, No 6 (2025): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i6.6846

Abstract

This research aimed to investigate the time efficiency of integrating traditional digital photogrammetry software compared to Artificial Intelligence (AI) in Reverse Engineering (RE). The investigation was conducted through a systematic comparison of the selected digital photogrammetry software and an AI-based method, using various objects for evaluation. Although high accuracy can be achieved with traditional photogrammetry software, the process is time-consuming, particularly for complex or large objects. Therefore, this research presents a timing analysis that demonstrates the efficiency advantages of AI-based methods over traditional digital photogrammetry software. The results showed that AI, by automating the reconstruction process, has the potential to reduce the time required for RE significantly. Moreover, the results of the 3D piston model using AI Google Colab™ were close to Agisoft Metashape, showing the potential use of alternative software as a solution in the RE process. These results suggested that AI-based methods could reshape the RE landscape, offering crucial efficiency gains for industries with rapid prototyping and just-in-time product development.
Co-Authors Faizin, M. Moh. Nor Ali Aziz Munyensanga, Patrick Rusnaldy, R.