Affiliation:
1. Department of Mechanical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand
Abstract
This work presents a cyber-physical drilling machine that incorporates technologies discovered in the fourth industrial revolution. The machine is designed to realize its state by detecting whether it hits or breaks through the workpiece, without the need for additional sensors apart from the position sensor. Such self-recognition enables the machine to adapt and shift the controllers that handle position, velocity, and force, based on the workpiece and the drilling environment. In the experiment, the machine can detect and switch controls that follow the drilling events (HIT and BREAKHTROUGH) within 0.1 and 0.5 s, respectively. The machine’s high visibility design is beneficial for classification of the workpiece material. By using a support-vector-machine (SVM) on thrust force and feed rate, the authors are seen to achieve 92.86% accuracy for classification of material, such as medium-density fiberboard (MDF), acrylic, and glass.
Funder
National Research Council of Thailand
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials
Reference45 articles.
1. Machine Tool 4.0 for the new era of manufacturing;Xu;Int. J. Adv. Manuf. Technol.,2017
2. Walker, J.R. (1998). Machining Fundamentals: From Basic to Advanced Techniques, Goodheart-Willcox Company.
3. Industry 4.0: State of the art and future trends;Xu;Int. J. Prod. Res.,2018
4. Grzesik, W. (2008). Advanced Machining Processes of Metallic Materials, Elsevier.
5. Recent development in CNC machining of freeform surfaces: A state-of-the-art review CAD Comput;Lasemi;Aided Des.,2010