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Perancangan dan Pembuatan Alat Uji Beban Generator Set Menggunakan Larutan Potassium Hydroxide dengan Mekanisme Rack and Pinion sebagai Penggerak Arief Nurrahman; Haris Wahyudi
Jurnal Teknik Mesin Vol 7, No 1 (2018)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v7i1.2277

Abstract

Alat uji beban Generator Set (Genset) merupakan suatu instrumen yang bertujuan untuk pemeriksaan dan penilaian performa genset pada saat diberi beban (ampere) sesuai dengan label yang tertera pada mesin. Alat uji ini mempunyai sistem kerja yang sama dengan sistem elektrolisis. Larutan potassium hydroxide (KOH) berfungsi sebagai larutan elektrolit dan tembaga persegi (Cu bar) berfungsi sebagai elektroda. Terdapat perbedaan penggunaan jumlah elektroda untuk genset 1 phasa dengan 3 phasa (genset 1 phasa menggunakan 2 buah elektroda yaitu phasa dan netral, sedangkan genset 3 phasa menggunakan 3 buah elektroda sebagai phasa yaitu R, S, T). Didapatkan beberapa faktor yang mempengaruhi besarnya ampere yang dikeluarkan genset antara lain: banyaknya  Cu yang masuk ke larutan, jarak elektroda yang satu dengan yang lainnya, dan kepekatan larutan. Indikator beban yang diterima oleh genset dapat dilihat di panel control alat uji ini, di panel manual single operation yang ada pada unit genset atau secara manual dengan menggunakan digital clamp ampere meter yang di clamp ke kabel phasa. Alat ini telah berhasil menguji genset dan mampu mengeluarkan daya maksimal 6600Watt. Adapun kapasitas genset yang bisa di uji adalah minimum 660Watt sampai 6600Watt dengan pengaturan yang ideal yaitu molaritas 0,01M sampai 0,02M dan jarak elektroda ke elektroda 250mm sampai 200mm. 
Inovasi dan Implementasi Model Pembelajaran Berorientasi Luaran (Outcome-Based Education, OBE) dan Washington Accord di Program Studi Teknik Mesin Universitas Mercu Buana Haris Wahyudi; Ignatius Agung Wibowo
Jurnal Teknik Mesin Vol 7, No 2 (2018)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jtm.v7i2.4214

Abstract

Pembelajaran Berorientasi Luaran (Outcome-Based Education, OBE) adalah metode pembelajaran yang memili fokus pada luaran yaitu capaian pembelajarn. Identifikasi dan penentuan capaian pembelajaran sangat penting pada metode OBE karena akan menentukan metode pembelajaran dan perencanaan asesmen. Berbeda dengan metode pembelajaran tradisional dimana fokus utama adalah proses belajar mengajar. Tujuan penelitian adalah untuk mengembangkan model pembelajaran berorientasi luaran (OBE) dan Washington Accord. Pelaksanaan OBE dilakukan dengan mengintegrasikan beberapa proses antara lain desain kurikulum, asesmen dan metode belajar mengajar yang memberi tumpuan kepada apa yang mahasiswa bisa lakukan.  OBE menekankan agar capaian pembelajaran dapat dipenuhi dari aspek pengetahuan, keterampilan dan sikap sesuai keadaan sosial, ekonomi dan budaya akademik. Dengan mengadopsi metode dan sistem pembelajaran berorientasi luaran, diperoleh hasil yang baik dimana kelulusan pada mata kuliah Perancangan Produk menunjukkan nilai di atas 80%.
IMPLEMENTATION OF FREQUENCY RESPONSE FUNCTION ON TAPPER BEARING MAINTENANCE Ari Susanto; Setyo Qomarudin Yusuf; Abdul Hamid; Haris Wahyudi; Subekti Subekti
SINERGI Vol 23, No 2 (2019)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (656.129 KB) | DOI: 10.22441/sinergi.2019.2.006

Abstract

Bearing acts as a pad that supports a shaft to rotate without excessive friction, hold the radial load and maintain the motion towards the left and right shafts (Thrust Load) when turning together. Due to frequent taper bearing damage to the wheels, predictive maintenance is therefore necessary. One of the predictive maintenance methods widely used today is vibration analysis. The principles of vibration-based bearing damage detection using the Frequency Response Function (FRF) method will be shown in this paper. Harmonics signal is given to the bearing surface in a vertical or perpendicular direction to the taper bearing surface. The vibration response measurement was carried out on three axes (x, y, and z). The results of this study indicated the ability of FRFs to predict any damage on the bearing taper.  
Pengaruh Faktor dan Mekanisme Pengerasan Regangan pada Baja Hadfield Haris Wahyudi; Tatacipta Dirgantara; Rochim Suratman; Aditianto Ramelan
Mesin Vol. 27 No. 2 (2018)
Publisher : Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract. Hadfield steel has good toughness, ductility, impact resistance, wear resistance and has excellent work hardening. It has a carbon content of 1-1.4% and manganese 11-14% by weight, a ratio of approximately 1:10. The potential for increasing its strength against strain hardening can be seen from the wide range of plastic strength, 379 MPa yield strength and 965 MPa tensile strength. The hardening of Hadfield steel strain depends on the type loading which affect the dislocation slip mechanism, twinning deformation, and the interaction between slip and twinning. The study of high strain rates in Hadfield steel is quite interesting and still relevant to date, although there have been many papers published. Hadfield cast steel which has a relatively low hardness, can be increased its hardness by treatment and high work hardening (high strain rate). There are factors that influence the hardness of Hadfield steel include alloying, solid solution process and high work hardening. Nitrogen as austenite stabilizer is important for work hardening, chromium and vanadium are added to increase hardness because it will form carbides, and aluminum is added to increase wear resistance. High strain rate deformation is applied to provide improved strength because of propensity of twinning mechanism is likely to occur. Optimum strain hardening by twinning mechanism can only be achieved at critical impact energy. Explosive hardening generates small deformations but provides significant changes in mechanical properties.Abstrak. Baja Hadfield memiliki sifat ketangguhan, keuletan, ketahanan impak, ketahanan terhadap aus dan memiliki work hardening yang sangat baik. Memiliki kandungan unsur karbon 1-1,4% dan mangan 11-14% berat, rasio kurang lebih 1:10. Potensi peningkatan kekuatan terhadap pengerasan regangan, dapat dilihat dari rentang kekuatan plastis yang lebar, kekuatan luluh 379 MPa dan kekuatan tarik 965 MPa. Pengerasan regangan baja Hadfield tergantung kepada proses pembebanan melalui mekanisme slip dislokasi, deformasi twinning, serta interaksi antara slip dan twinning. Kajian tentang high strain rate pada baja Hadfield menjadi topik yang cukup menarik dan relevan, meskipun telah banyak publikasi yang dihasilkan. Baja Hadfield yang memiliki kekerasan relatif rendah, mampu ditingkatkan nilai kekerasannya melalui rekayasa perlakuan panas dan deformasi plastis secara cepat. Beberapa faktor yang mempengaruhi kekerasan baja Hadfield antara lain bahan paduan, perlakuan panas dan proses pengerasan regangan yang diberikan. Nitrogen sebagai penstabil austenit penting untuk pengerjaan dingin, kromium dan vanadium ditambahkan untuk meningkatkan kekerasan karena akan membentuk karbida, dan aluminum ditambahkan untuk meningkatkan ketahanan aus. Deformasi kecepatan regangan tinggi pada Hadfield memberikan peningkatan kekuatan lebih baik karena mekanisme twinning lebih dominan. Pengerasan regangan optimum oleh mekanisme twinning hanya dapat dicapai pada energi impak kritikal. Explosive hardening menghasilkan deformasi yang relatif kecil tetapi memberikan perubahan sifat mekanik yang signifikan.
Design and Analysis of Ejector Pin in The Oil Seal Mould to Improve Its Mechanical Properties Haris Wahyudi; Swandya Eka Pratiwi; Irwan Firdaus
International Journal of Advanced Technology Vol 1, No 1 (2020)
Publisher : Institute for Research on Innovation and Industrial System (IRIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (252.512 KB) | DOI: 10.37869/ijatec.v1i1.8

Abstract

Ejector pin in the mould is used to release (eject) the finished product, to vent gas out of the cavity and to expedite the material flow. It must have high strength, good hardness, good wear and corrosion resistance to withstand high pressure. Poor ejector pin may result in defect of finished product and delay the process due to additional time was required to release sticking product in the mould. The aim of this research is to select proper material for the ejector pin and analyse it not to experience plastic deformation. Three specimens’ steel was considered for making the pin, SUS 304, normal SKS 3 and heat treated SKS 3. Hardness and tensile test were used to examine the mechanical properties of specimens and impact was utilized to obtain impact energy using Charpy method. Static stress analysis was also used to simulate the working load using SolidWorks.  Rockwell hardness test recorded that SUS 304, normal SKS 3 and heat treated SKS have 23.2 HRC 9.6 HRC and 38.03 HRC, respectively. Tensile test produced yield strength of 452.9 MPa for SUS 304 and 432.6 MPa for SKS 3. Impact energy absorbed during Charpy test for SUS 304 equal to 0,804 J/ mm2 and specimen SKS 3 equal to 0,863 J/mm2. By taking the mechanical test result and SolidWorks simulation, it was concluded that the suitable material for ejector pin is SUS 304.
The influence of heat rate and austenitization temperature on microstructure and hardness of Hadfield steel Haris Wahyudi; Swandya Eka Pratiwi; Adolf Asih Supriyanto; Daisman Purnomo Bayyu Aji
SINERGI Vol 27, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.2.012

Abstract

The As-Cast condition of Hadfield alloy usually contains (Fe, Mn)3C carbides around the austenitic grains, which promote brittleness, making the steel impractical in industry. Heat treatment is normally applied to reduce carbide content, lower carbides, and improve toughness. However, a complete austenitic structure is not attainable during solution treatment. The dissolution temperature and dissolution time are critical to obtaining complete carbide content. Furthermore, heating must be done slowly, and the quenching speed must be fast enough. This study examines the effect of heat rate and austenitization temperatures in the solution treatment on the microstructure and hardness of Hadfield steel. The heat rate of 3, 6 and 10 oC/min is selected to determine whether there is a change in the microstructure of Hadfield steel. The four austenitization temperatures of 1000, 1100, 1150 and 1200 oC are used to ascertain carbide dissolution into the austenite matrix. Grain boundary, hardness, and phase transformation will confirm the microstructural change and hardness properties. The optical microscope shows carbide content is reduced as the austenitization temperature increases. The consequence of carbide dissolution affects the hardness. Its hardness decreases as temperature increase due to the loss of carbide. The as-Cast specimen has the highest hardness of 227.8 HV30, and the lowest hardness is 176.7 HV30 belongs to a specimen that is heated up to 1200 °C and quenched into water. Grain size is measured by the line intercept method, which shows its increase as temperatures increase. The result of grain measurement is as follows: As-Cast 224.6 mm, T 1000 °C 323.3 mm, T1100 °C 409.2 mm, T1150 °C 1014.4 mm, T1200 °C 881.6 mm. SEM-EDS confirms that the main phase is austenite, and a small amount of carbide is detected in the austenite matrix. 
Development of a Smart Digital Advertisement Board Based on Face Recognition System Fahri Heltha; Sharandhass Radakrishnan; Haris Wahyudi; Aulia Rahman
International Journal of Advanced Technology Vol 4, No 1 (2023)
Publisher : Institute for Research on Innovation and Industrial System (IRIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37869/ijatec.v4i1.100

Abstract

Abstract. We develop a smart digital advertisement board system which allows the system to display advertisements based on the majority of age and gender classifications of the consumers. The system captures the faces of the crowd and the face recognition techniques used to classify the majority gender and age of the crowd and then shows appropriate advertisement from the database to the advertisement board. A DNN model that is built, trained, and validated is used to recognize and predict the age and gender of the visible faces through image input or webcam using face photo dataset known as audience dataset. Several testing and analysis have been done onto the system in order to demonstrate the effectiveness and reliability of the system in displaying suitable advertisement for the public. The system can get gender accuracy of 77.82% and 86% for female and male respectively. And 68.78% accuracy for age recognition. The recognition speed is less than 1.3 second for up to 9 faces in an input image.
COMPARING ROTATION-ROBUST MECHANISMS IN LOCAL FEATURE MATCHING: HAND-CRAFTED VS. DEEP LEARNING ALGORITHMS Aulia Rahman; Louis Gautama Lie; Haris Wahyudi; Fahri Heltha
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 5, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v5i3.24794

Abstract

The objective of this research is to conduct a performance comparison between hand-crafted feature matching algorithms and deep learning-based counterparts in the context of rotational variances. Hand-crafted algorithms underwent testing utilizing FLANN (Fast Library for Approximate Nearest Neighbors) as the matcher and RANSAC (Random sample consensus) for outlier detection and elimination, contributing to enhanced accuracy in the results. Surprisingly, experiments revealed that hand-crafted algorithms could yield comparable or superior results to deep learning-based algorithms when exposed to rotational variances. Notably, the application of horizontally flipped images showcased a distinct advantage for deep learning-based algorithms, demonstrating significantly improved results compared to their hand-crafted counterparts. While deep learning-based algorithms exhibit technological advancements, the study found that hand-crafted algorithms like AKAZE and AKAZE-SIFT could effectively compete with their deep learning counterparts, particularly in scenarios involving rotational variances. However, the same level of competitiveness was not observed in horizontally flipped cases, where hand-crafted algorithms exhibited suboptimal results. Conversely, deep learning algorithms such as DELF demonstrated superior results and accuracy in horizontally flipped scenarios. The research underscores that the choice between hand-crafted and deep learning-based algorithms depends on the specific use case. Hand-crafted algorithms exhibit competitiveness, especially in addressing rotational variances, while deep learning-based algorithms, exemplified by DELF, excel in scenarios involving horizontally flipped images, showcasing the unique advantages each approach holds in different contexts.