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All Journal Jurnal Energi Dan Manufaktur Jurnal Teknologi Jurnal Teknologi Informasi Komunikasi Pendidikan Jurnal Mechanical Jurnal Ilmiah Teknik Mesin ROTOR: JURNAL ILMIAH TEKNIK MESIN Semesta Teknika Jurnal Sains Teknologi dan Lingkungan (JSTL) MULTINETICS Jurnal Teknik Mesin Indonesia Journal of Engineering and Scientific Research (JESR) JURNAL TEKNOLOGI TECHNOSCIENTIA International Journal of Aviation Science and Engineering Journal of Innovation and Technology Buguh: Jurnal Pengabdian Kepada Masyarakat Jurnal Polimesin Jurnal Pengabdian kepada MASyarakat (J-PMAS)
Tarkono Tarkono
Jurusan Teknik Mesin Fakultas Teknik Universitas Lampung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation

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Journal : International Journal of Aviation Science and Engineering

 1 
The Effect of Squeeze Casting Process on Mechanical and Micro-structural Properties of Magnesium AZ31 Tri Cahyo Wahyudi; Tarkono Tarkono; Irza Sukmana; Fauzi Ibrahim; Yanuar Burhanuddin; Fethma M Nor
AVIA Vol 4, No 1: (June, 2022)
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v4i1.66

Abstract

The amount of damage that occurs in various cases of fractures in the bone, both accidents and other events is increasing, it is necessary to have materials which are natural or artificial that can interact with the body system with the aim of repairing, restoring and replacing damaged tissue or as a network connector. body. The use of magnesium as a biodegradable stent material is also based on a fixed tissue structure which is an important element in the body's organs, magnesium is also considered a non-carcinogenic element. The results of the implantation of the stent material that the mechanical properties of the material can survive during the implantation process without showing failure. The parameters used in this research, The sample used is a material that has been squeezed through the squeeze casting process with each pressure variation of 250 MPa, 350 MPa, 500 MPa and 550 MPa at a temperature of 4000C for a pressing time of 1 minute, with a holding time of 5 minutes and argon gas pressure of 1 bar. . In this study it can be concluded that the variation of pressure greatly affects the results of the level of hardness. In this test, it can be seen that the higher the pressure, the greater the hardness value. The highest value is found at a pressure of 550 MPa at 51 HRV, and the highest maximum stress value is 128.26 MPa, this value is close to the tensile strength of the mechanical properties of the cortical and concelues bone. with a holding time of 5 minutes and argon gas pressure of 1 bar. In this study it can be concluded that the variation of pressure greatly affects the results of the level of hardness. In this test, it can be seen that the higher the pressure, the greater the hardness value. The highest value is found at a pressure of 550 MPa at 51 HRV, and the highest maximum stress value is 128.26 MPa, this value is close to the tensile strength of the mechanical properties of the cortical and concelues bone. with a holding time of 5 minutes and argon gas pressure of 1 bar. In this study it can be concluded that the variation of pressure greatly affects the results of the level of hardness. In this test, it can be seen that the higher the pressure, the greater the hardness value. The highest value is found at a pressure of 550 MPa at 51 HRV, and the highest maximum stress value is 128.26 MPa, this value is close to the tensile strength of the mechanical properties of the cortical and concelues bone.
Effect of Production Method on the Mechanical Properties of Resin - Fiber S-GLASS Composite for the Rocket Nose Cone Application Tarkono Tarkono; Sugiyanto Sugiyanto; Akhmad Riszal; Ignatius Bayu Atmoko; Fauzi Ibrahim; Joy Rizki Pangestu Djuansjah
AVIA Vol. 4, No. 2 (December 2022)
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v4i2.69

Abstract

Composite materials are increasingly developing in industrial advances both for everyday life or technological applications in industry. Composite material is a combination of two or more different components. Composite materials have certain physical and mechanical properties that are better than the properties of each of their constituent components. This research has been analyzed to determine the effect of the method of making fiber composites s-glass matrix resin 100 as material nose cone rocket rx-450 by using the method of hand lay up and vacuum infusion. Making a nose cone is carried out in several stages which are quite complicated, starting with preparation master mole for print beginning until polishing compound molding release on molding as finishing. The results obtained from this study are by using the method vacuum infusion lighter compared with material results method hand lay-up because on method vacuum infusion resin can be removed from the laminate. Whereas on method hand layup infiltration resin in fiber not enough perfect and administration of resin that cannot be controlled so that it can affect the mass from product composite.
Effect of Production Method on the Mechanical Properties of Resin - Fiber S-GLASS Composite for the Rocket Nose Cone Application Tarkono, Tarkono; Sugiyanto, Sugiyanto; Riszal, Akhmad; Atmoko, Ignatius Bayu; Ibrahim, Fauzi; Djuansjah, Joy Rizki Pangestu
International Journal of Aviation Science and Engineering - AVIA Vol. 4, No. 2 (December 2022)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v4i2.69

Abstract

Composite materials are increasingly developing in industrial advances both for everyday life or technological applications in industry. Composite material is a combination of two or more different components. Composite materials have certain physical and mechanical properties that are better than the properties of each of their constituent components. This research has been analyzed to determine the effect of the method of making fiber composites s-glass matrix resin 100 as material nose cone rocket rx-450 by using the method of hand lay up and vacuum infusion. Making a nose cone is carried out in several stages which are quite complicated, starting with preparation master mole for print beginning until polishing compound molding release on molding as finishing. The results obtained from this study are by using the method vacuum infusion lighter compared with material results method hand lay-up because on method vacuum infusion resin can be removed from the laminate. Whereas on method hand layup infiltration resin in fiber not enough perfect and administration of resin that cannot be controlled so that it can affect the mass from product composite.
Development of Anti-UAV System Using Visual Artificial Intelligence Sembiring, Javen; Prianggoro, Dimas; Saputra, Rizal Adi; Tarkono, Tarkono; Ummah, Khairul
International Journal of Aviation Science and Engineering - AVIA Vol. 5 No. 1: (June 2023)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v5i1.83

Abstract

Unmanned Aerial Vehicles (UAV) was first developed as a tool for military purposes. Due to the rapid growth in technology, UAVs are now used in various applications including civil needs. Of course, there are consequences for this where UAVs can be misused by irresponsible parties. One example is the use of UAVs in airport fields which can disrupt the airport operations and possibly become a serious threat towards security and safety of flights in the airport. This paper will discuss the artificial intelligence (AI) modeling to detect UAVs. This AI modeling is the first step in designing counter unmanned aerial system (C-UAS). UAV detection will use deep learning using YOLOv4 (single-stage detection) for optimal detection speed and accuracy. There are a total of 500 image data processed and used in two AI modeling experiments in this study. Gaussian blur filter is used to create dataset variations so that the training can be processed more efficiently and the model can detect better. The results shows that the training dataset that has been processed with gaussian blur (filtered dataset) increases the AI model’s detection performance in rainy and clear conditions. Therefore, the model trained using filtered datasets is more suitable for use in detecting UAV objects in anti-UAV systems.
Co-Authors . Sugiyanto . Zulhanif A.A. Ketut Agung Cahyawan W A.Yudi Eka Risano Abdul Aziz Abdullah Abdullah Achmad Yahya Teguh Panuju Achmad Yahya Teguh Panuju Agus Sugiri Ahmad Riszal Alferidho Arif Annisa Salsabilla Arifin Kusumo Wicaksono Arinal Hamni Aristoteles, Aristoteles As'ad Humam Atmoko, Ignatius Bayu Bayu, Chandra Carlos Purba Catur Ahmad Novriadi Dafa Sitanala Putra Baladiah Dedy Miswar Dian Utami Djuansjah, Joy Rizki Pangestu Doni Sewandono Doni Sigit Kuncoro Dwi Kurniawan S Ferdouza, Nouval Fethma M Nor Frengki Tenando Gema Annisa Hermastuti Gusri Akhyar Ibrahim Hadi - Ali Hadi Ali Hadi Ali Hafiz Favian Gustin Harnowo Supriadi Herpratiwi Herpratiw Ibrahim, Fauzi Ignatius Bayu Atmoko Indah Rahmayani Irsyad Haryono Aulia Irza Sukmana Irza Sukmana Irza Sukmana, Irza Izzatul Jannah Joy Rizki Pangestu Djuansjah Khairul Ummah M. Rangga Saputra Mahruri Arif Wicaksono Martinus Martinus Martinus, Martinus Mei Indra Kusuma Moh. Badaruddin Momon Erik Frianto Muhammad Aldi Ivansyah Muhammad Iqbal Muhammad Reza Pahlevie Nafrizal Nafrizal Nandang Nandang Nensi Mesrani Tarigan Nur Syafira Wasi Nurmalia Annisa Pratama, Rinaldo Adi Prianggoro, Dimas Puji Febriyansyah Rahmat Iskandar Fajri Ranti Vidia Mahyunis Risano, Ahmad Y E Riszal, Akhmad Rizal Adi Saputra Sembiring, Javen Shofiyyah Fauziah Sayuti Silvany Claudya Manurung SUGIYANTO Sugiyanto - Sugiyanto Sugiyanto Suryadiwansa Harun Syamsul Arif Sarifudin Tri Cahyo Wahyudi Tria Fadilla Trisulohadi Ben Fikmar Vina Anggraini Safitri Wihan Afriono Yanuar Burhanuddin Yanuar Burhanuddin Yarmaidi Yarmaidi Zaelani Zaelani Zulkarnain Zulkarnain