New Regression Model and I-Kaz Method for Online Cutting Tool Wear Monitoring

Year: 2009 Volume: 3 Issue: 12 1642 - 1647 Pages

• Authors:
• Jaharah A. Ghani
• Muhammad Rizal
• Ahmad Sayuti
• Mohd Zaki Nuawi
• Mohd Nizam Ab. Rahman
• Che Hassan Che Haron

Abstract: This study presents a new method for detecting the cutting tool wear based on the measured cutting force signals using the regression model and I-kaz method. The detection of tool wear was done automatically using the in-house developed regression model and 3D graphic presentation of I-kaz 3D coefficient during machining process. The machining tests were carried out on a CNC turning machine Colchester Master Tornado T4 in dry cutting condition, and Kistler 9255B dynamometer was used to measure the cutting force signals, which then stored and displayed in the DasyLab software. The progression of the cutting tool flank wear land (VB) was indicated by the amount of the cutting force generated. Later, the I-kaz was used to analyze all the cutting force signals from beginning of the cut until the rejection stage of the cutting tool. Results of the IKaz analysis were represented by various characteristic of I-kaz 3D coefficient and 3D graphic presentation. The I-kaz 3D coefficient number decreases when the tool wear increases. This method can be used for real time tool wear monitoring.

• Keywords:
• mathematical model
• I-kaz method
• tool wear

Application of Spreadsheet and Queuing Network Model to Capacity Optimization in Product Development

Year: 2009 Volume: 3 Issue: 10 1282 - 1287 Pages

• Authors:
• Muhammad Marsudi
• Dzuraidah Abdul Wahab
• Che Hassan Che Haron

Abstract: Modeling of a manufacturing system enables one to identify the effects of key design parameters on the system performance and as a result to make correct decision. This paper proposes a manufacturing system modeling approach using a spreadsheet model based on queuing network theory, in which a static capacity planning model and stochastic queuing model are integrated. The model was used to improve the existing system utilization in relation to product design. The model incorporates few parameters such as utilization, cycle time, throughput, and batch size. The study also showed that the validity of developed model is good enough to apply and the maximum value of relative error is 10%, far below the limit value 32%. Therefore, the model developed in this study is a valuable alternative model in evaluating a manufacturing system

• Keywords:
• Manufacturing system
• product design
• spreadsheet model
• utilization.