Estimation of the time and space-dependent heat flux distribution at the tool-chip interface during turning using an inverse method and thin film thermocouples measurement

Estimation of the time and space-dependent heat flux distribution at the tool-chip interface during turning using an inverse method and thin film thermocouples measurement
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使用反演方法和薄膜热电偶测量来估计车削过程中刀具-切屑界面处的时间和空间相关热通量分布

DOI:
10.1007/s00170-018-2585-6
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发表时间:
2018-08
期刊:
The International Journal of Advanced Manufacturing Technology
影响因子:
--
通讯作者:
Zhouping Yin
Zhouping Yin
中科院分区:
其他
文献类型:
--
作者:
Shuwen Huang;Bo Tao;Jindang Li;Yajun Fan;Zhouping Yin

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本文基于反热传导问题(IHCP)的求解方法,利用薄膜热电偶测得的温度,在线估计了车刀刀片界面的非均匀分布时变热流密度。提出了一种序列Tikhonov正则化方法(STRM)来求解IHCP,该方法可以同时预测时间和空间的热通量分布,并且由于计算效率高和对未来测量的独立性而具有在线估计的优势。针对热模型的非线性,采用有限元法求解刀具的直接热传导问题,得到了STRM所需的灵敏度系数。采用薄膜热电偶沉积在刀具前端面的微沟槽中,测量刀具-切屑界面附近的温度,具有高响应特性。为了分析热通量的空间分布,对不同切削条件下刀屑接触区域的形状进行了测量和离散。数值实验验证了该算法的有效性和鲁棒性。对Ti-6Al-4V钛合金进行了切削实验,验证了热模型和方法。基于所提出的算法和模型,可以成功地在线确定不同切削条件下刀具-切屑界面处的详细热流密度分布和变化。
In this paper, the non-uniformly distributed and time-varying heat flux at the tool-chip interface of a turning tool was estimated on-line based on the solution of an inverse heat conduction problem (IHCP),using temperatures measured by thin film thermocouples. A sequential Tikhonov regularization method (STRM) is proposed to solve the IHCP, which predicts the heat flux distribution both temporally and spatially and shows superiority in on-line estimation due to its high computational efficiency and independence of future measurements. To deal with the thermal model’s non-linearity, the finite element method (FEM) was adopted to solve the direct heat conduction problem of the tool and obtain sensitivity coefficients needed in the STRM. Thin film thermocouples deposited in micro-grooves at the rake face of a tool insert was used to measure temperatures close to the tool-chip interface with high response characteristic. To analysis the heat flux distribution spatially, the shape of the tool-chip contact area was measured and discretized for each different cutting condition. Numerical tests were carried out to verify the effectiveness and robustness of the STRM. Experimental cutting tests on Ti-6Al-4V titanium alloy were done to validate the thermal model and method. Based on the proposed algorithm and model, the detailed heat flux distribution and variation at the tool-chip interface for different cutting condition can be successfully determined on-line.
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