Design of Control System for a Desktop Injection Molding Using Raspberry Pi 3 B+



DOI: https://doi.org/10.25077/metal.7.2.%25p.2023

Author(s)

Rahmat Rahmat (Universitas Dharma Andalas) Orcid ID Google Scholar or Scopus ID
Meiki Eru Putra (Universitas Dharma Andalas) Orcid ID Google Scholar or Scopus ID
Zulkifli Amin (Universitas Andalas) Orcid ID Google Scholar or Scopus ID

Abstract


Injection molding is one of the techniques used to create plastic items. Plastic goods with good dimensional tolerances are frequently made using the efficient, accurate, and cost-effective injection molding process. The advantages of injection molding include quick product production, accurate process execution, cheap labor costs, automation of the process, and the ability to produce large quantities of items. There are many benefits to using a controller as a measuring device when injection molding. Making injection molding equipment easier to handle and observe is one of them. The process of regulating or controlling one or more quantities (variables) so that they are at a specific objective is known as a control system. In this study, a compact, mobile, automatic plastic injection machine that can create small plastic objects was developed. The design process is developed using the Python programming language, and the control system is a microcontroller of the Raspberry Pi type that has a complete architecture, including wifi and bluetooth modules, as well as a lot of memory. A NEMA 23 stepper motor with a torque of 2.2 Nm and a TB6600 motor driver are used in the drive system to control the voltage and rotation of the motor. A band heater type heating element with a maximum working temperature of 350°C at 220 volts is used in the heating system. A desktop program running on a 7-inch TFT display will show the process of controlling and monitoring the device.

Keywords


Injection Molding; Microcontroller; Raspberry Pi; Plastic Injection

Full Text:

PDF PDF PDF PDF

References


W, Michaeli, “In Plastics Processing”, An Introduction Carl Hanser Verlag: Plastic Processing, Vol. 21, No.1, 232-255. 1995.

A, Akbarzadeh, “Parameter Study in Plastic Injection Molding Process using Statistical Methods and IWO Algorithm”. International Journal of Modeling and Optimization: Plastic Injection, Vol.1, No.2, 141-145. 2011

B.A.Davis,”Compression Blow Molding”, Hanser Publishers: Blow and Extrusion Molding, Vol. 5, No.31, 110-119. 2003.

S.Lal, “Optimization of Injection Molding Process Parameters in the Molding of LowDensity Polyethylene (LDPE)”. Internatinal Jounal of Engineering Research and Development: Process Injection Molding, Vol.7, No.5, 35-39. 2013.

urnbull, “Control Systems Ltd”, Mulberry Lane Goring by Sea: Control Extrusion, Vol.12, No. 4, 222-224.1997.

Goodship, Middleton, “Design and Manufacture of Plastics Components for Multifunctionality”, Elsevier Atlanta: Structural Composites, Injection Molding and 3D Printing, Vol. 1, No. 3, 90-100.2016.

J. Avery, “In Gas-Assist Injection Molding”, Principles and Applications Hanser Publishers: Type of Molding, Vol. 2, No.1, 124-143. 2001.

Lisdiyanto, Angga, “Utilizing the AHP Approach, a Decision Support System for Performance Assessment for the Selection of Exceptional Lecturers”, J. Tek. Inform, Vol. 5, No. 1, pp. 1–10, 2022.

Iswanto, “Book Microcontrollers”, Electrical Enginering University of Muhammadiyah: Yogyakarta, Vol.1, No.1, pp. 1-20, 2015.


StatisticsArticle Metrics

This article has been read : 72 times
PDF file viewed/downloaded : 18 times PDF file viewed/downloaded : 0 times PDF file viewed/downloaded : 0 times PDF file viewed/downloaded : 0 times

Copyright (c) 2023 Meiki Eru Putra

 


View METAL's Stats

 

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.