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All Journal Multitek Indonesia : Jurnal Ilmiah STEAM Engineering : Journal of Science, Technology, Education And Mechanical Engineering JMES The International Journal of Mechanical Engineering and Sciences Journal of Mechanical and Electrical Technology Jurnal Pendidikan Teknik Mesin
Risnawati, Faradilla Fauziyah
Mechanical Engineering Departement, Politeknik Negeri Malang, Indonesia
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Optimasi Parameter Laser Cutting CO₂ untuk Meminimalkan Kekasaran Permukaan dan Meningkatkan Akurasi Dimensi Material PMMA Menggunakan Response Surface Methodology Huda, Muhammad Arif Nur; Risnawati, Faradilla Fauziyah; Hidayatullah, Rizkyansyah Alif; Rakhmaddian, Nicko Nur
Metrotech (Journal of Mechanical and Electrical Technology) Vol 4 No 2: Mei 2025
Publisher : Fakultas Sains dan Teknologi, UNIRA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/metrotech.v4i2.7068

Abstract

Saat ini, teknologi pemotongan non-konvensional, khususnya pemotongan berbasis energi laser, semakin banyak digunakan karena menghasilkan potongan yang halus, akurat dan tanpa ada gaya potong mekanis. Salah satu teknologi laser paling luas diaplikasikan untuk pemotongan non logam adalah laser karbondioksida (CO2). Laser CO₂ ini bekerja dengan panjang gelombang sekitar 10,6 µm, yang efektif diserap oleh berbagai material polimer dan termoplastik, termasuk Polymethyl Methacrylate (PMMA). Penelitian ini bertujuan menganalisis pengaruh daya laser dan kecepatan potong terhadap kekasaran permukaan (Ra) dan akurasi dimensi (DA) pada proses laser cutting CO₂, serta mengoptimalkan parameter tersebut untuk meminimalkan kekasaran dan meningkatkan akurasi. Metode yang dipakai dalam penelitian menggunakan Response Surface Methodology (RSM) dengan pendekatan Central Composite Design (CCD). CCD menghasilkan 13 kombinasi eksperimen yang terdiri dari 4 titik faktorial, 4 titik aksial, dan 5 replikasi di titik pusat. Polymethyl Methacrylate (PMMA) atau akrilik yang digunakan tipe bening dengan ketebalan 3 mm dan dipotong dalam ukuran 25 mm x 25 mm oleh mesin CNC laser cutting CO2 50 watt. Adapun nilai parameter dipilih 35%-55% untuk daya laser dan 5 mm/s – 10 mm/s untuk kecepatan potong. Hasil pengujian menunjukkan bahwa daya laser dan kecepatan potong berpengaruh signifikan terhadap kedua respon, yaitu kekasaran permukaan (Ra) dan akurasi dimensi (DA), dengan kecepatan potong sebagai faktor yang paling dominan, diikuti oleh daya laser. Optimasi parameter menghasilkan kombinasi terbaik pada daya laser 45,99% dan kecepatan potong 6,46 mm/s, dengan prediksi hasil Ra dan DA adalah 0,9209 µm dan 24,7939 mm. Hasil validasi membuktikan bahwa model dapat digunakan untuk pengaturan proses secara optimal dimana nilai aktual hasil optimasi didapatkan 0,851 µm untuk nilai Ra dan 24,78 mm untuk nilai DA yang mana nilai tersebut menghasilkan nilai deviasi yang rendah terhadap nilai prediksi.
ANALISIS KINERJA POROS RODA SEPEDA MOTOR MELALUI PENDEKATAN FINITE ELEMENT METHOD DENGAN DUKUNGAN SOFTWARE SOLIDWORKS Putra, Agus dwi; Galuh Zuhria Kautzar; Nicko Nur Rakhmaddian; Faradilla Fauziyah Risnawati
Jurnal Pendidikan Teknik Mesin Vol. 12 No. 1 (2025): Jurnal Pendidikan Teknik Mesin
Publisher : Program Studi Pendidikan Teknik Mesin Fakultas Keguruan dan Ilmu Pendidikan Universitas Sriwiajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jptm.v12i1.56

Abstract

The motorcycle wheel shaft is a vital component that significantly impacts vehicle performance and rider safety. This study is motivated by the need to ensure an optimal wheel shaft design, considering its critical role in transmitting power, bearing loads, and maintaining the motorcycle's stability. The approach used in this research employs the Finite Element Method (FEM) through SolidWorks software to evaluate Von Mises stress, strain, and the factor of safety, with carbon steel a material known for its strength and corrosion resistance as the primary material. The analysis results reveal a maximum stress of 2.827x108 N/m², a maximum Displacement of 4.252x10-3 mm, and a minimum factor of safety of 5.111x102, indicating a reliable design. The study identifies critical areas prone to failure. Using a simulation-based approach, this research underscores the importance of FEM analysis in the development of safe and efficient mechanical components, contributing to enhanced performance and safety of vehicles.
ANALISIS PENGARUH BEBAN EKSTERNAL TERHADAP DISTRIBUSI REGANGAN PADA PIPA MELALUI PENDEKATAN FINITE ELEMENT METHOD Risnawati, Faradilla Fauziyah; Huda, Muhammad Arif Nur; Kautzar, Galuh Zuhria; Septiawan, Diama Rizky
Steam Engineering Vol. 7 No. 1 (2025): STEAM Engineering, Vol. 7, No. 1, September 2025
Publisher : Program Studi Pendidikan Teknik Mesin, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37304/jptm.v7i1.22791

Abstract

This study aims to analyse the effect of external loading on the distribution of plastic strain in API 5L X80 steel pipes using the Finite Element Method. External loading was modelled through an indentation process using a spherical indenter with diameter variations of 75 mm, 100 mm, and 125 mm, and indentation depths of 2 mm, 3 mm, and 4 mm. The simulation was conducted under zero internal pressure conditions to evaluate the plastic strain distribution formed after loading. The results show that increasing the indentation depth significantly increases the maximum plastic strain value and expands the deformation area on the pipe wall. Conversely, increasing the indenter diameter tends to reduce the maximum plastic strain value but broadens the affected area of strain distribution. The maximum strain concentration is located at the dent’s flank rather than the root, which is caused by the load distribution from the spherical indenter toward the transition area. These findings highlight the importance of dent geometry parameters in predicting the plastic strain response of pipes, providing valuable insights for assessing the structural integrity of pipelines in oil and gas industry applications
Development of a System and Deep Learning Method for Metal Surface Corrosion Detection and Evaluation in Industrial Equipment Juliarsyah, Mohammad Rizanto; Yuni Pungkiarto, Irwanda; Risnawati, Faradilla Fauziyah; Anwar, Khoirul; Shabrina, Dhia Fairuz
JMES The International Journal of Mechanical Engineering and Sciences Vol 9, No 2 (2025)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v9i2.23189

Abstract

Corrosion inspection of industrial assets is still dominated by subjective and inconsistent visual inspections. This study develops and validates a deep learning-based corrosion area detection system on metal surfaces in the context of heavy equipment through a binary segmentation task (corrosion vs. non-corrosion). Three architectures were compared: UNet, VGG16–Random Forest, and VGG16–UNet, using 600 annotated images measuring 512 × 512 pixels taken under lighting conditions of 50–150 lux. The workflow included preprocessing, augmentation, training for 30, 50, and 100 epochs, and evaluation of accuracy, precision, recall, IoU/Jaccard, Dice, and confusion matrix per pixel (positive = corrosion). The results show that VGG16–UNet provides the best performance; in the 150 lux test, it achieved 98.96% accuracy, 0.9934 precision, and 0.994 recall, with good consistency across lighting variations and data scales. These findings confirm the effectiveness of a pre-trained encoder combined with skip connections to recover fine corrosion boundaries and produce reliable corrosion maps. The proposed approach has the potential to standardize the inspection process and accelerate decision-making in reliability-based maintenance practices.
RANCANG BANGUN ALGORITMA OBSTACLE AVOIDANCE ROBOT INSPEKSI MENGGUNAKAN SENSOR ULTRASONIK DAN LOGIKA FUZZY Juliarsyah, Mohammad Rizanto; Faradilla Fauziyah Risnawati
MULTITEK INDONESIA Vol 19 No 2 (2025): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v19i2.12441

Abstract

Underground channels are subject to limited manual inspection owing to the fact that it is inefficient, high risk, and labor-intensive. These make obstacle-avoiding robots crucial in inspecting channels. This paper aims at designing an obstacle avoidance algorithm with ultrasonic sensors and fuzzy logic for enabling the free movement of inspection robots. The research approach includes the establishment of a fuzzy control system that accepts ultrasonic sensor distance input and provides decisions on robot movement direction. The two defuzzification strategies utilized in assessing the performance of the algorithms include Center of Maximum (COM) and Mean of Maximum (MOM). Testing included the presentation of various obstacle situations in front and along the robot. The result was that the Center of Maximum (COM) method created more precise straight and turn movements, yet at times the direction of motion was less consistent. In contrast, the Mean of Maximum (MOM) method could create a faster and more stable reaction to position change even when creating tighter turns. Overall, the system designed was successful in improving navigation capability of the inspection robots in confined spaces and could potentially serve as a base to develop more from for real-world applications in the field.
Co-Authors Anwar, Khoirul Diama Rizky Septiawan Galuh Zuhria Kautzar Juliarsyah, Mohammad Rizanto Muhammad Arif Nur Huda Nicko Nur Rakhmaddian, Nicko Nur Putra, Agus Dwi Rizkyansyah Alif Hidayatullah Shabrina, Dhia Fairuz Yuni Pungkiarto, Irwanda