Development of automatic CNC machine with versatile applications in art, design, and engineering
Utpal Chandra Das,
Nagoor Basha Shaik,
Pannee Suanpang,
Rajib Chandra Nath,
Kedar Mallik Mantrala,
Watit Benjapolakul,
Manoj Gupta,
Chanyanan Somthawinpongsai,
Aziz Nanthaamornphong
Affiliations
Utpal Chandra Das
Center of Excellence in Artificial Intelligence, Machine Learning and Smart Grid Technology, Faculty of Engineering, Chulalongkorn University, Pathum Wan District, Bangkok, 10330, Thailand; Corresponding author.
Nagoor Basha Shaik
Center of Excellence in Artificial Intelligence, Machine Learning and Smart Grid Technology, Faculty of Engineering, Chulalongkorn University, Pathum Wan District, Bangkok, 10330, Thailand
Pannee Suanpang
Department of Information Technology, Faculty of Science and Technology, Suan Dusit University, Bangkok, Thailand
Rajib Chandra Nath
Mechanical Engineering, Chittagong University of Engineering & Technology, Chattogram, Bangladesh
Kedar Mallik Mantrala
Department of Mechanical Engineering, Vasireddy Venkatadri Institute of Technology (VVIT), Namburu, Guntur District, 522 508, Andhra Pradesh, India
Watit Benjapolakul
Center of Excellence in Artificial Intelligence, Machine Learning and Smart Grid Technology, Faculty of Engineering, Chulalongkorn University, Pathum Wan District, Bangkok, 10330, Thailand
Manoj Gupta
Department of Electrical Engineering, SoS-Engineering & Technology, Guru Ghasidas Vishwavidyalaya, Bilaspur (Chhattisgarh), India
The area of computer numerical control (CNC) machines has grown fast, and their use has risen significantly in recent years. This article presents the design and development of a CNC writing machine that uses an Arduino, a motor driver, a stepper motor, and a servo motor. The machine is meant to create 2D designs and write in numerous input languages using 3-axis simultaneous interpolated operations. The suggested machine is low-cost, simple to build, and can be operated with merely G codes. The performance of the CNC writing machine was assessed by testing it on a range of solid surfaces, including paper, cardboard, and wood. The results reveal that the machine can generate high-quality text and images with great accuracy and consistency. The proposed machine's ability to write in several input languages makes it appropriate for various applications, including art, design, and engineering.
