Experimental analysis and investigation of end milling process for flywheel of chromium molybdenum steel SCM440

碩士 === 修平科技大學 === 精密機械與製造科技碩士班 === 106 === The aim of this study is to investigate the SCM440 chromium molybdenum steel flywheel processing experiments using the coating tungsten carbide milling cutter. the spindle speed, feed rate, cutting depth, tool coating, milling feed direction and cutting flu...

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Bibliographic Details
Main Authors: YOU, SIANG-JHIH, 游祥志
Other Authors: CHIANG, JIUNN-SHEAN
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/emeky8
Description
Summary:碩士 === 修平科技大學 === 精密機械與製造科技碩士班 === 106 === The aim of this study is to investigate the SCM440 chromium molybdenum steel flywheel processing experiments using the coating tungsten carbide milling cutter. the spindle speed, feed rate, cutting depth, tool coating, milling feed direction and cutting fluid used as the processing parameters to observe the processing characteristics, such as tool wear and machined surface roughness. Sentral composite design (CCD) using Response Surface methodology (RSM) on experimental design steps, In the experimental study, experimental planning and design steps were conducted with three sets of numerical variables and three sets of categorical variables, combined with Sequential approximation optimization method (SAO) to generate second-order mathematical modules, The experimental parameters are used to explain the interrelationships between the end mill machining and the machining quality characteristics. The results show that when the spindle speed and feedrate increase, the wear of the tool increases. AlTiN-plated tool is a tool suitable for milling chrome molybdenum steel. The use of cutting fluids in the milling process will benefit tool life, reduce tool wear and achieve good machining surface quality, ANOVA was used to confirm the test results. All experimental values were within the 95% prediction interval. It is sufficient to verify the accuracy of the obtained second-order mathematical module, and the tool wear value, surface roughness value (Ra) and initial value of tool wear value and surface roughness obtained by optimizing the parameters obtained by optimizing the parameters are obtained. The values were compared with each other and were reduced by 0.0959% and 58.33% respectively.