1. Department of Engineering Technology, Drexel University, 3001 Market Street, Philadelphia, PA 19104, USA
2. Div. of Industrial & Information Systems Engineering, Ajou University, Suwon, South Korea (zip: 443-749)
3. Department of Industrial, Manufacturing and Systems Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA
Abstract—This paper is aligned with a current trend for manufacturing industry, which includes remote monitoring/ control/ diagnosis, product miniaturization, high precision, zero-defect manufacturing and information-integrated distributed production systems. The use of modern sensors and data acquisition instrumentation for manufacturing processes is implemented into Computer Numerical Control (CNC) laboratory for Web-based measurement, inspection, diagnostic system, and quality control. The network hardware and software components are integrated with quality methodologies to achieve maximum effectiveness in Web-based quality concepts. An experimental study of surface roughness effect on light scattering from textured surfaces is described. The results and the system are useful in implementing light scattering instruments for on-line monitoring of machining processes which produce surface roughness patterns.
—high speed CNC, machining quality, computer vision, surface roughness, remote noncontact, network based
Cite: Richard Y. Chiou, Yongjin (James) Kwon, Tzu-Liang (Bill) Tseng, and Michael Mauk, "Experimental Study of High Speed CNC Machining Quality by Noncontact Surface Roughness Monitoring," International Journal of Mechanical Engineering and Robotics Research, Vol.4, No. 4, pp. 282-286, October 2015. DOI: 10.18178/ijmerr.4.4.282-286