Determination of Bore Grinding Machine Parameters to Reduce Cycle Time

Abstract:

This paper applies a central composite design (CCD) to determine proper machine parameters to reduce the cycle time of a bore grinding process. There are 6 machine parameters, which are rough grinding 2 starting position, fine grinding starting position, speed of rough grinding 1, speed of rough grinding 2, speed of rough grinding 3 and speed of fine grinding and 2 types of responses, which are cycle time and surface roughness considered in this study. A half CCD is used to find the optimal machine setup parameters. The experiment shows that new machine conditions can reduce cycle time from 2.98 second per piece to 2.76 second per piece and control surface roughness within specification of 1.0 um. After implementing the new machine conditions in the real setting, we found that the average actual cycle time is 2.76 second per piece with roughness of 0.841 um.

• Periodical: Advanced Materials Research (Volume 974)
• Pages: 413-417
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.974.413
• Online since: June 2014
• Authors: Salakjitt Buddhachakara, Wipawee Tharmmaphornphilas*
• Keywords: Central Composite Design, Cycle Time Reduction, Design of Experiment (DOE)

References

[1] K. Asawarungsaengkul, J. Deeying and P. Boonpalit: Quality Improvement on the Laser Spot Welding Process of a Suspension Manufacturer (The 5th PSU-UNS International Conference on Engineering and Technology (ICET-2011), 2011).

[2] N. Kuptasthien and T. Boonsompong: Reduction of Tombstone Capacitor Problem by Six Sigma Technique: A Case Study of Printed Circuit Cable Assembly Line (2011 IEEE International Conference on Quality and Reliability, 2011).

DOI: 10.1109/icqr.2011.6031599

[3] Z. Jamaluddin, A. M. Razali and Z. Mustafa: Wafer dice improvement using Six Sigma approach (2011 IEEE International Conference on Quality and Reliability, 2011).

DOI: 10.1109/icqr.2011.6031676

[4] A. Jindadee, K. Asawarungsaengkul and J. Deeying: Determination of the Appropriate Laser Spot Welding Parameters to Reduce the Undercut Defect of the Suspension Using Split-Plot Design (The International Data Storage Technology Conference (DST-CON), 2011).

[5] K. Asawarungsaengkul and S. Sukamta: Process Yield Improvement on the Gram Load Adjusting Process of a Suspension Manufacturer (2011 IEEE International Conference on Quality and Reliability, 2011).

DOI: 10.1109/icqr.2011.6031733

[6] P. Krajnik, J. Kopac and A. Sluga: Design of grinding factors based on response surface methodology (Journal of Materials Processing Technology, 2005).

DOI: 10.1016/j.jmatprotec.2005.02.187

[7] K. Leksakul and A. Limcharoem: Central composite design couple with simulation techniques for optimizing RIE process (International Journal of Advanced Manufacturing Technology, 2014).

[8] W. Dioudi, F. Aissani-Benissad and S. Bououina-Bacha: Optimization of copper cenmentation process by iron using central composite design experiments (Chemaical Engineering Journal, 2007).

DOI: 10.1016/j.cej.2007.01.033

[9] D. C. Montgomery, in: Design and Analysis of Experiments, 7th Ed / J. Wiley & Sons, NY (2009).

[10] D. C. Montgomery and G. C. Runger, in: Applied Statistics and Probability for engineers, 3rd Ed / J. Wiley & Sons, NY (2003).