Development of an Accelerometer-Based Surface Roughness Prediction System in Turning Operations Using Multiple Regression Techniques
- E. Daniel Kirby (Iowa State University)
- Zhe Zhang (Iowa State University)
- Joseph C. Chen (Iowa State University)
Companies in today’s global manufacturing environment compete strongly to produce high-quality products at a low cost. Helping manufacturers meet these goals has been a trend toward increasingly automated manufacturing using modern technology. For ex- ample, automated computer numerical control (CNC) cells can lower labor costs and increase production by al- lowing a single operator to run several cells at once (Mills Manufacturing Technology, 2003). However, the lack of continuous operator monitoring can lead to defects. This limitation must be addressed to optimize automated machining processes.
Keywords: CIM|machine tools|materials and processes|quality|quality control|research
How to Cite:
Kirby, E. D. & Zhang, Z. & Chen, J. C., (2004) “Development of an Accelerometer-Based Surface Roughness Prediction System in Turning Operations Using Multiple Regression Techniques”, The Journal of Technology, Management, and Applied Engineering 20(4).