An Integrated Smarter Cutting Parameter Selection System with a Case Study for Pocket Milling

Q4 Computer Science

International Journal of Automation and Smart Technology Pub Date : 2018-06-01 DOI:10.5875/AUSMT.V8I2.1681

Y. Kao, Dandan Lin, Jian-Zhang Wu, T. Vi

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引用次数: 2

Abstract

This paper develops an integrated smart cutting parameter selection system for pocket milling. Currently, general CAD/CAM systems generate pocket milling tool paths according to user-designated cutting parameters typically including cutting depth, feed rate, and spindle speed. Pocket milling is often used for rough machining, and shorter cutting times are used to increase productivity. Although shorter machining times can be accomplished with deeper cutting, it may result in unstable cutting (chatter). Stability lobe diagrams (SLD) generated from cutting and tapping tests on selected machine tools describe the relationship between cut depth and spindle speed. However, despite offering useful information for selecting cutting parameters for chatter-free cutting, SLD has not been integrated with existed CAD/CAM systems. Therefore, this study integrates SLD in a CAD/CAM system to effectively determine the optimum cut depth and spindle speed for a theoretically chatter free pocket milling tool path. A case study is used to verify the proposed system integration.

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一种集成的智能切削参数选择系统，以微孔铣削为例

本文开发了一种集成的口袋铣削智能切削参数选择系统。目前，一般的CAD/CAM系统根据用户指定的切削参数(通常包括切削深度、进给速度和主轴速度)生成口袋铣刀路径。袋铣常用于粗加工，缩短切削时间用于提高生产率。虽然较短的加工时间可以完成更深的切割，但它可能导致不稳定的切割(颤振)。在选定的机床上进行切削和攻丝试验所产生的稳定性叶瓣图(SLD)描述了切削深度和主轴转速之间的关系。然而，尽管为选择无颤振切削的切削参数提供了有用的信息，但SLD尚未与现有的CAD/CAM系统集成。因此，本研究将SLD集成到CAD/CAM系统中，以有效地确定理论上无颤振的口袋铣刀轨迹的最佳切削深度和主轴转速。通过案例研究验证了所提出的系统集成方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Automation and Smart Technology Engineering-Electrical and Electronic Engineering

CiteScore

0.70

自引率

0.00%

发文量

审稿时长

16 weeks

期刊介绍： International Journal of Automation and Smart Technology (AUSMT) is a peer-reviewed, open-access journal devoted to publishing research papers in the fields of automation and smart technology. Currently, the journal is abstracted in Scopus, INSPEC and DOAJ (Directory of Open Access Journals). The research areas of the journal include but are not limited to the fields of mechatronics, automation, ambient Intelligence, sensor networks, human-computer interfaces, and robotics. These technologies should be developed with the major purpose to increase the quality of life as well as to work towards environmental, economic and social sustainability for future generations. AUSMT endeavors to provide a worldwide forum for the dynamic exchange of ideas and findings from research of different disciplines from around the world. Also, AUSMT actively seeks to encourage interaction and cooperation between academia and industry along the fields of automation and smart technology. For the aforementioned purposes, AUSMT maps out 5 areas of interests. Each of them represents a pillar for better future life: - Intelligent Automation Technology. - Ambient Intelligence, Context Awareness, and Sensor Networks. - Human-Computer Interface. - Optomechatronic Modules and Systems. - Robotics, Intelligent Devices and Systems.