IK4-IDEKO Research Alliance, Arriaga Kalea, 2, 20870 Elgoibar, Spain.
Mechanical Engineering Department, Universidad del País Vasco (UPV/EHU), Paseo Rafael Moreno "Pitxitxi", 3, 48013 Bilbao, Spain.
Sensors (Basel). 2018 Nov 26;18(12):4134. doi: 10.3390/s18124134.
Workpiece rejection originated by thermal damage is of great concern in high added-value industries, such as automotive or aerospace. Surface temperature control is vital to avoid this kind of damage. Difficulties in empirical measurement of surface temperatures in-process imply the measurement in points other than the ground surface. Indirect estimation of temperatures demands the use of thermal models. Among the numerous temperature measuring techniques, infra-red measurement devices excel for their speed and accurate measurements. With all of this in mind, the current work presents a novel temperature estimation system, capable of accurate measurements below the surface as well as correct interpretation and estimation of temperatures. The estimation system was validated by using a series of tests in different grinding conditions that confirm the hypotheses of the error made when measuring temperatures in the workpiece below the surface in grinding. This method provides a flexible and precise way of estimating surface temperatures in grinding processes and has shown to reduce measurement error by up to 60%.
在高附加值行业（如汽车或航空航天）中，由热损伤引起的工件报废是一个非常关注的问题。控制表面温度对于避免这种损坏至关重要。在加工过程中对表面温度进行经验测量存在困难，这意味着需要在非地面点进行测量。温度的间接估计需要使用热模型。在众多的温度测量技术中，红外线测量设备因其速度和精确测量而脱颖而出。考虑到这一切，目前的工作提出了一种新颖的温度估计系统，能够在表面以下进行精确测量，并正确解释和估计温度。该估计系统通过在不同磨削条件下进行一系列测试得到了验证，这些测试证实了在磨削过程中测量表面以下工件温度时所产生的误差假设。该方法为磨削过程中表面温度的估计提供了一种灵活而精确的方式，并且已经证明可以将测量误差降低多达 60%。
