Dissertation/ Thesis
The development of a Grey tool life prediction system for micro drilling operation
| العنوان: | The development of a Grey tool life prediction system for micro drilling operation |
|---|---|
| Alternate Title: | 微型鑽孔刀具壽命灰色預測系統之開發 |
| المؤلفون: | Chia-Hao Kuo, 郭家豪 |
| Thesis Advisors: | Po-Tsang Huang, 黃博滄 |
| سنة النشر: | 2014 |
| المجموعة: | National Digital Library of Theses and Dissertations in Taiwan |
| الوصف: | 102 As the market trend changes over the years, production orientation of machining process has evolved from mass production to high quality, small-scale production; therefore, quality control and pre-production prediction is becoming increasingly important. Various prediction methods such as traditional statistical forecasting, simulation modeling, regression analysis and soft computing, have been proposed in recent years to construct prediction systems, which demonstrate significant increase in accuracy. However, there is a huge disadvantage to these prediction models. That is they require large amount of data to perform modeling, which is unfavorable to small-scale productions. Not only does it take much time for these systems to collect data, but remodeling or readjustment is required whenever the settings are changed. Due to the inconvenience, these prediction systems are rarely used in the industry. Therefore, in this research, we hope to construct a tool life prediction system for micro drilling process, which is able to predict a tool’s condition and operating life based on only a small amount of data and without the influence of the changed process settings. The Grey Micro Drill Tool Life Prediction System proposed in this research is developed through grey generating, a method which emphasizes the input data trend and uses its small sample feature as the fundamental structure for building a real time prediction system. Grey prediction is a small-scale prediction model built upon accumulated generating sequence and the forecasting characteristics among data. It is used on CNC drilling process in this research in which a tool’s operating life is predicted based on a small amount of hole diameter data. The grey prediction system can quickly predict a tool’s operating life under specific processing settings without considering the type of tool and work part being used, the machining parameters and environment. To prove the proposed method is both accurate and reliable, three different sets of tools, work part and machining parameters are used to perform micro drilling. First, an optical instrument is used to measure the diameter of the machined holes, and a small amount of the measured data are placed in the grey prediction system for the forecasting of hole sizes. Based on the information obtained, we can determine a tool’s operating life and investigate its accuracy to verify the feasibility of the prediction system proposed in this research. |
| Original Identifier: | 102CYCU5030044 |
| نوع الوثيقة: | 學位論文 ; thesis |
| وصف الملف: | 85 |
| الاتاحة: | http://ndltd.ncl.edu.tw/handle/30057029185198980943 |
| رقم الانضمام: | edsndl.TW.102CYCU5030044 |
| قاعدة البيانات: | Networked Digital Library of Theses & Dissertations |
| الوصف غير متاح. |