1. 汇报安排
汇报题目：HPC2018参会报告
汇报时间：2018年7月2日（星期一）19:30
汇报地点：西五楼南楼301
汇报人：王晨希
2. 参加国际会议信息
会议名称：8th CIRP Conference on High Performance Cutting (HPC 2018)
会议时间：June 25-27, 2018
会议地点：Budapest, Hungary
会议简介：
The 8th CIRP Conference on High Performance Cutting (HPC 2018) will be held in downtown Budapest, Hungary, where scientists, researchers and industrial partners can present their latest results and the cutting edge technology in the field of machining. The breathtaking venue, the Pesti Vigadó at the Danube bank, is a perfect place to continue the tradition of providing an international forum to exchange new ideas in the community of HPC conferences. According to the traditions of HPC conferences, the scientific programme is structured into numerous sections on major and challenging pre-defined topics. These are chaired by well-recognized researchers.
会议交流工作：
Milling force identification from acceleration signals using regularization method based on TSVD in peripheral milling
报告人：王晨希
3. 参会论文信息
Title：Milling force identification from acceleration signals using regularization method based on TSVD in peripheral milling
Author：Chenxi Wang, Xingwu Zhang, Baijie Qiao, Xuefeng Chen, Hongrui Cao
Abstract: Milling forces are important signals that can be used to monitor the condition of machine operating and milling process. In general, milling forces can be measured by special equipment, for example, Kistler dynameters. However, dynameters are very expensive and require particular geometry of workpiece, which causes that dynameters are limited in research laboratories rather than actual production. In this paper, a force identification method in frequency domain, the regularization method based on the truncated singular value decomposition (TSVD), is employed for milling force reconstruction using acceleration signals in peripheral milling process. The two acceleration sensors are mounted on the spindle box in the feed and cross-feed directions for reconstructing the milling forces. The regularization method based on TSVD is adopted for inverse problem in force identification because of its high identification accuracy, which can possess ill-conditioned matrixes well. Finally, the method is validated by numerical simulation and cutting experiments. In the experiment, the milling forces and acceleration signals from spindle box are acquired synchronously. Then, the frequency response functions between milling tool nose and acceleration sensors in the feed and cross-feed directions are obtained by impact tests. With the acceleration signals and frequency response functions, the milling forces can be reconstructed. Identified results show that the calculated forces and the measured forces are in good agreement on the whole, which verify the effectiveness of the employed method on milling force identification.
