金属陶瓷
材料科学
机械加工
表面粗糙度
陶瓷
表面光洁度
机械工程
碳化物
刀具
进程窗口
刀具磨损
过程(计算)
复合材料
冶金
计算机科学
工程类
操作系统
作者
Hasan Basri Ulaş,Musa Bilgin,Hüseyin Kürşad Sezer,Metin Özkan
出处
期刊:MP MATERIALPRUEFUNG - MP MATERIALS TESTING
[De Gruyter]
日期:2018-08-30
卷期号:60 (9): 893-901
被引量:9
摘要
Abstract Historically, cutting force and surface roughness are known to be important performance indicators in conventional machining operations and are mainly affected by material type and the choice of cutting tool. One well-known method to improve cutting tool performance is covering these tools with durable ceramic coatings to protect them from wear and thermal degradation. This work elucidates the advantage of Al 2 O 3 and TiN coatings and presents important performance improvements in turning operation. Process parameters such as cutting speed, feed rate, cutting depth and tip radius were taken into consideration in a total of 540 experiments. The design of the experiment and a statistical analysis were performed to reveal significant process parameters. A special experimental setup was designed to measure in-situ cutting forces. The surface roughness of the machined surfaces was measured. An artificial neural network model was developed to predict optimum performance parameters.
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