A General Innovation Optimization Using TRIZ

doi:10.1080/02522667.2010.10700014

CNU IR > College of Sustainable Environment and Recreation > Dept. of Applied Geoinformatics > Periodical Articles > Item 310902800/25247

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/25247

Title:	A General Innovation Optimization Using TRIZ
Authors:	Tian-Syung Lan Kuei-Shu Hsu Ming-YungWang
Contributors:	應用空間資訊系
Keywords:	Theory of inventive problem solving cutting noise computerized numerical control
Date:	2010-09
Issue Date:	2012-05-23 15:46:43 (UTC+8)
Abstract:	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.
Relation:	Journal of Information and Optimization Sciences 31(5)：p.1103-1111
Appears in Collections:	[Dept. of Applied Geoinformatics] Periodical Articles

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