Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/25247
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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/25247


    题名: A General Innovation Optimization Using TRIZ
    作者: Tian-Syung Lan
    Kuei-Shu Hsu
    Ming-YungWang
    贡献者: 應用空間資訊系
    关键词: Theory of inventive problem solving
    cutting noise
    computerized numerical control
    日期: 2010-09
    上传时间: 2012-05-23 15:46:43 (UTC+8)
    摘要: Machining noise is a major safety and health concern for the Computerized Numerical Control (CNC) industry. The existing optimization researches are basically focused on the projects under specific statuses, and achieved through massive operations of process equipments. Thus, the development of general innovation optimization technique is absolutely necessary.
    In this study, machining speed, feed rate, cutting depth and tool nose runoff are selected as control factors for machining noise in CNC turning. Based on the literature review, the TRIZ (Theory of Inventive Problem Solving) is additionally utilized to analyze 39 engineering parameters and to define the improvement as well as worsening factor of machining noise. Moreover, the noise optimization strategy received from TRIZ is then experimentally applied to confirm the effectiveness of this study. It is shown that the cutting noise can be properly enhanced by using our proposed innovation technique. This study not only contributes a general innovation noise optimization scheme for the CNC machining industry without repeated equipment operations, but also provides the reference basis for the field.
    關聯: Journal of Information and Optimization Sciences 31(5):p.1103-1111
    显示于类别:[Dept. of Applied Geoinformatics] Periodical Articles

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