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Aircraft parts and components used a lot of titanium as the material for body parts and engines. The materials offer rigidity, strength and light in weight. This unique characteristic was the major advantages in improving the payload capacity and improving the fuel consumption of the jet engines. The problem raised during the machining process of the material. Titanium is a hard material, elastic and poor thermal conductor. As the material is hard, higher machining force is required to perform the machining. Elasticity added the difficulties as it will spring away from the cutting tool which cause the tool to rub instead of cutting that can increased the heat. Thus, machining titanium alloy is expensive and difficult. This preliminary study looks into several machinability aspects and machining parameters for curved thin wall machining profile in the research. Machining accuracy and cutting tool wears were observed during the experiments. There are two set of machining parameters for the machining trials. At the same time, this research able to recommend the suitable machining parameters analysed from the experiments.

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Abstract-Cutting tool wear is one of the major problems affecting the finished product in term of surface finish quality, dimensional precision and the cost of the defect. This paper discusses the preliminary study on machining condition monitoring system using force data captured using 3-channel force sensor. The data were analyzed by I-kaz multilevel method to monitor the flank wear progression during the machining. The flank wear of the cutting insert was measured using Moticom magnifier under two different operational conditions in turning process. A 3-channel Kistler force sensor was assembled to hold the tool holder to measure the force on the cutting tool in the tangential, radial and feed direction during the machining process. The signals were transmitted to the data acquisition equipment, and finally to the computer system. I-kaz multilevel method was used to identify and characterize the changes in the signals from the sensors under two different experimental set up. The values of I-kaz multilevel coefficients for all channels are strongly correlated with the cutting tool wear condition. This preliminary study can be further developed to efficiently monitor and predict flank wear level which can be used in the real machining industry.

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