In recent years, research related to smart manufacturing processes, which aim to advance production technology through productivity improvement and manufacturing technology innovation, has been actively pursued. In the field of sheet metal press forming, intelligent process management is required to improve productivity and reduce costs. In this field, a method of indirectly monitoring signals generated in the forming process without the need to modify existing tools is advantageous, as it can be easily applied to the mass-production process. In this study, a monitoring system for a laboratory-scale cup drawing process was established that uses a bolt-type piezoelectric sensor. First, a numerical analysis was conducted to select the location where the sensor was to be installed in the tool, and the feasibility of load monitoring was confirmed. Then, the forming load of the cup drawing process using a servo press was measured according to process variables such as holding force, specimen size, and initial specimen position. Forming defects such as wrinkles and fractures occurred according to process variables, and it was confirmed that the measured load had a specific pattern. To quantitatively analyze the time series data of the measured load, recurrence quantification analysis was used, and a system for real-time monitoring of formability was developed based on the structural shapes formed by the resulting recurrence plots.

近年来，以通过提高生产力和制造技术创新来推进生产技术的智能制造工艺相关的研究一直在积极进行。在钣金冲压成型领域，需要智能化的工艺管理来提高生产力，降低成本。在该领域中，无需修改现有工具即可间接监控成型过程中产生的信号的方法是有利的，因为它可以很容易地应用于批量生产过程。在这项研究中，建立了一个使用螺栓型压电传感器的实验室规模的杯子拉制过程的监控系统。首先，进行数值分析，选择传感器在工具中的安装​​位置，并确认负载监测的可行性。然后，根据夹持力、试样尺寸和初始试样位置等过程变量，测量使用伺服压力机的拉杯过程的成形载荷。根据工艺变量出现褶皱和断裂等成型缺陷，并确认测量负载具有特定模式。为定量分析实测载荷的时间序列数据，采用递归量化分析，并根据得到的递归图形成的结构形状，开发了成形性实时监测系统。并确认测量的负载具有特定的模式。为定量分析实测载荷的时间序列数据，采用递归量化分析，并根据得到的递归图形成的结构形状，开发了成形性实时监测系统。并确认测量的负载具有特定的模式。为定量分析实测载荷的时间序列数据，采用递归量化分析，并根据得到的递归图形成的结构形状，开发了成形性实时监测系统。