修边
热电偶
材料科学
机械加工
有限元法
温度测量
参数统计
GSM演进的增强数据速率
参数化模型
机械工程
过程(计算)
旋转(数学)
声学
计算机科学
结构工程
复合材料
工程类
操作系统
统计
物理
电信
人工智能
量子力学
冶金
数学
作者
Kevin Kerrigan,Garret E. O’Donnell
标识
DOI:10.20965/ijat.2013.p0742
摘要
Interrupted, high-speed composite machining processes involving complex geometries in rotation remain without a robust and accurate temperature process-monitoring tool. In this investigation a novel wireless integrated thermocouple (WIT) sensor for low-temperature applications (<200°C) is characterised for tool-side temperature measurement in peripheral milling. The signal from the WIT sensor within the tool material is assessed and a parametric finite element (FE) model is generated to improve the accuracy of temperature measurement and infer characteristics of the thermal behaviour of the tool during cutting. The model is validated using a cuttinganalogous heat delivery experimental setup. Using the validated parametric model, heat fluxes and surface temperatures are investigated in a carbon-fibre reinforced polymer (CFRP) edge trimming case study. The combination of the raw WIT response and the parametric model demonstrate an ability to improve the capability of the CFRP milling process by allowing for accurate tool-side prediction of temperatures for a range of machining parameters. Results demonstrate the performance of the WIT sensor with FE model incorporated for a CFRP edge trimming process.
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