Summary: | 碩士 === 國立臺灣科技大學 === 機械工程系 === 103 === Cutting is one of machinery manufacturing and processing methods, as advances in technology, metal processing technology, has been toward high-precision machining. However, the set of milling operations, often dependent on practical experience as a set of cutting parameters, in order to reduce tool wear. But empirically selection parameter, usually more subjective, and likely to cause the tool and machine damage. Chatter is a kind arising from a failure caused by the cutting parameters, chatter has many adverse effects, such as poor surface, accuracy errors, serious noise and increase tool wear, even damage processing equipment and reduce the material removal rate, resulting in processing time, material and energy costs relative increase, in order to improve the above problems, to study how the economy and establish an effective process parameters based on, in order to reduce tool wear, and increase costs production efficiency, it is also a very important issue currently. In this study, flank wear as a benchmark to determine the tool life of Taylor tool life equation, and estimates that when the flank wear reach 300 μm, the tool can be cut much time, uses MetalMax software to get Stability Lobe Diagram, and finally uses MATLAB to combine the results of both obtained. From the experimental results that, cutting speed was the strongest in tool life, and followed by feed rate, and cutting depth was weakest, it can increase the overall increase in feed material removal rate, less wear effect. Therefore, the feed rate can be added to increase the overall material removal rate, less wear effects but increase the cutting speed will make the tool life greatly reduced, on the other hand, in a high speed region, which allows the cutting depth of 0.3 mm, at low speed 170 rpm about cutting depth can be infinitely raised without causing chatter.
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