Desain Diagram Ladder untuk Banyak Objek pada Factory Automatic Trainer menggunakan Metode Grafcet

Deviana, Innes (2019) Desain Diagram Ladder untuk Banyak Objek pada Factory Automatic Trainer menggunakan Metode Grafcet. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Factory Automatic Trainer (FAT) merupakan sebuah miniatur yang merepresentasikan sistem otomasi pada industri penyortiran benda. Factory Automatic Trainer (FAT) dioperasikan oleh PLC dengan bahasa pemrograman yang digunakan adalah diagram ladder. Permasalahan yang dihadapi dengan adanya penambahan objek serta perulangan proses pada Factory Automatic Trainer (FAT) dapat meningkatkan resiko terjadinya troubleshoot ataupun human error. Dengan adanya sebuah metode dalam merancang diagram ladder diharapkan mampu mengurangi permasalahan tersebut. Grafcet merupakan salah satu metode dalam pembuatan diagram ladder. Keunggulan dari metode ini adalah dapat menggambarkan urutan dari proses tersebut sehingga mudah dipahami. Luaran yang diharapkan adalah hasil desain diagram ladder menjadi terstruktur dan dapat diimplementasi sesuai dengan yang operasi sistem yang diinginkan. Hasil desain diagram ladder dengan metode grafcet terdapat 85 memori (step), 23 output dan 28 input dengan 6 timer dan 12 counter. Data program sebesar 30 KB dengan jumlah rung sebanyak 72 rung. Waktu proses untuk benda tunggal berwarna hitam 22.12 detik, benda biru 21.28 detik dan benda silver 5.85 detik. Pengujian waktu benda berurutan sekitar 01.08.85 menit, benda acak warna silver di posisi terakhir memiliki waktu proses tercepat yaitu 01.03.48 menit, warna biru sekitar 01.06.39 menit dan benda hitam 01.08.60 menit. Dampak dari hasil diagram ladder yang dirancang dengan menggunakan metode grafcet apabila diterapkan ke dalam industri sortir benda membuat siklus produksi menjadi lebih cepat apabila dikerjakan secara multi proses. ==================================================================================================================
Factory Automatic Trainer (FAT) is a miniature that represents an automation system in the product sorting industry. Factory Automatic Trainer (FAT) operated by PLC with the programming language used is a ladder diagram. The problems faced by the addition of objects and repetition of the process at the Factory Automatic Trainer (FAT) can increase the risk of troubleshoot or human error. With the existence of a method in designing a ladder diagram, it is expected to reduce these problems. Grafcet is one method in designing ladder diagrams. The advantage of this method is that it can describe the sequence of the process so that it is easy to understand. Expected output is the result of a ladder diagram design that is structured and can be implemented in accordance with the desired operating system. The design of the ladder diagram with the grafcet method contains several coils consisting of 85 for memory (steps) and 23 for outputs. While the use of inputs are 28. There are 6 timers and 12 counters. The program data produced is 30 KB with a total of 72 rungs. The processing time for single black objects is 22.12 seconds, blue objects are 21.28 seconds and silver objects are 5.85 seconds. Testing for sequential objects is around 01.08.85 minutes, random objects with silver in the last position have the fastest processing time, which is around 01.03.48 minutes, followed by blue around 01.06.39 minutes and black objects in the last position have the longest processing time, namely 01.08.60 minutes. The impact of the ladder diagram results designed using the grafcet method when applied to the object sorting industry makes the production cycle faster if it is done in a multi-process.

Item Type: Thesis (Other)
Additional Information: RSE 629.895 Dev d-1 2019
Uncontrolled Keywords: Factory Automatic Trainer (FAT), Programmable Logic Controller (PLC), Diagram Ladder, Grafcet
Subjects: Q Science > QA Mathematics > QA76.6 Computer programming.
T Technology > T Technology (General) > T57.62 Simulation
T Technology > T Technology (General) > T57.83 Dynamic programming
T Technology > TJ Mechanical engineering and machinery > TJ223.P76 Programmable controllers
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors
T Technology > TS Manufactures > TS176 Manufacturing engineering. Process engineering (Including manufacturing planning, production planning)
Divisions: Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Innes Deviana
Date Deposited: 17 Mar 2023 04:43
Last Modified: 20 Mar 2023 03:03
URI: http://repository.its.ac.id/id/eprint/63692

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