A Study on Evaluating Tool Wear Based On Cutting Parameters in Machining Sus316 Material

Yeoh, Bing Quan (2019) A Study on Evaluating Tool Wear Based On Cutting Parameters in Machining Sus316 Material. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

In this study, the performance of the cutting tools during the milling had been studied. The objective of this research is to study on evaluating tool wear based on cutting parameters in machining SUS316 material. There were total nine cutting tool that sponsored by HPMT company, which three CER 20μm cutting tools, three CER 40μm cutting tools, and three 60μm cutting tools. Each on these tools were used to cut the work piece with different width of cut which are 0.1mm, 0.6mm, and 1.2mm. The material of the cutting tool was uncoated carbide tool with the dimension of 6mm in diameter, 50mm in length and 4 flutes. The material of the work piece that used in this project was SUS 316 stainless steel with the dimension 200mm in length, 200mm in width, and 30mm in height. The value for the spindle speed, feed rate, and the depth of cut are constant which is 1700rpm, 110mm/min, and 4.2mm respectively. These parameters are constant along the experiments. Every tool was run maximum 7m of cutting length path. Every single increment of 1m cutting length was taken out of the milling machine to measure the tool wear. The tool wear was observed and measured by using Dino Lite Basic AM2111 microscope and the vibration was measure by using vibration meter Type 2250-W. Then the results were transferred to the Design of Expert software to choose the best cutting parameters. The detail analysis had been made throughout the DOE software. To validate the result, percentage of error were calculated by using the experimental value and the result from DOE software. In conclusion, the best width of cut is 0.1mm and the best cutting edge radius is 40μm. The percentage of error for tool wear is 6.67% and the percentage of error for tool vibration is 0.4%. the result also shown that the vibration affects the tool wear which is the higher the tool vibration, the higher the tool wear.