|
|
|
|
|
|
| Development of Dynamic High-Speed True Temperature Measurement
System for Welding Head Based on Infrared Radiation Thermometry |
| XIAO Peng1, TAI Hong-bing1, XIANG Mao-lin1, WANG Wei-chen2, ZHANG Fan3 |
1. Harbin Institute of Technology, Harbin 150001, China
2. The Fourth Academy of CASIC, Beijing 100038, China
3. China Air-borne Missile Academy, Luoyang 471009, China
|
|
|
|
|
Abstract Temperature is an important basic parameter used to characterize the properties of objects, and is widely used in various fields such as metal processing, production life, aerospace, etc. The accuracy of temperature measurement has a crucial impact on each industry. With the continuous miniaturization of the size of electronic devices and the popularity and development of various wearable smart devices, miniaturization has become an important technical indicator of the level of technology of electronic components, so electronic components have also been developing in the direction of small size and high integration, and its welding temperature fluctuations caused by the product yield is also decreasing. Therefore, achieving real-time access to the solder head temperature during welding electronic components has become an urgent research topic for many related companies. Based on the working characteristics of transistorized welding power supply, this paper starts by analyzing the structural characteristics of the solder head, using the infrared spectral radiation characteristics of the solder head, and designs a laser-targeted optical system to measure the temperature of the solder head using the Lambertian method, to obtain the real-time true temperature of the solder head when working. The whole temperature measurement system consists of a hardware system part and a software system part. Among them, the hardware system includes the design of the optical system, I/V conversion and amplification circuit and the high-speed data acquisition system of the upper computer. The software part of the system mainly includes the design of the interface of the upper computer system. The software of the upper computer adopts LabVIEW for program design, which mainly includes the configuration and driving of AD acquisition card, data filtering, zero point measurement, temperature calibration, temperature calculation, real-time temperature curve and data storage. After the system was established and the software was debugged, the temperature measurement system was calibrated using a standard cavity blackbody furnace. First, the emissivity of the weld head during operation was tested using the integral blackbody method, and the results showed that the emissivity was in general agreement with literature data in both oxidized and non-oxidized states. Then, using this emissivity value, the cavity blackbody emissivity was calculated for the small holes in the solder head. Finally, system stability and repeatability experiments were performed using a constant-current transistorized welding power source. The uncertainty analysis of the method yielded an overall uncertainty of the method within 3%. By calibrating and configuring the temperature measurement system, the system can also be applied to other scenarios where high-speed accurate temperature measurement is required.
|
|
Received: 2022-07-29
Accepted: 2022-12-12
|
|
|
|
[1] Tan W, Zhou Y, Kerr H W. Metallurgical & Materials Transactions A, 2002, 33(8): 2667.
[2] Zhao Y, Zhang Y, Wang P C. Welding Journal, 2017, 96(2): 71s.
[3] Martan J, L Prokeová, Moskal D, et al. International Journal of Heat and Mass Transfer, 2021, 168: 120866.
[4] Shan L, Huang H, Hong B, et al. Energies, 2020, 13(6)：1487.
[5] An B L, Qu Y, Song X Y, et al. Infrared Physics & Technology, 2021, 115(29): 103696.
[6] GUO Xiao-xu, PAN Ke-wei，HOU Long-feng, et al(郭校绪，潘科玮，侯龙峰，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2021, 41(1): 305.
[7] Daniel Ketui, Feng Chi, Gao Shan. Measurement, 2016, 92：218.
[8] Qi Y, Li J, Shen Y, et al. Materials Transactions, 2020, 61(12): 2378.
[9] Terada D, Takigawa R, Iuchi T. Journal of Physics：Conference Series, 2018, 1065(12)：122008.
[10] Mei G, Zhang J, Zhao S, et al. Infrared Physics & Technology, 2017, 85: 372.
[11] Gu D, Houtz D, Randa J, et al. IEEE Transactions on Geoscience & Remote Sensing, 2011, 49(9): 3443.
|
| [1] |
MENG Qi1, 3, ZHAO Peng2, HUAN Ke-wei2, LI Ye2, JIANG Zhi-xia1, 3, ZHANG Han-wen2, ZHOU Lin-hua1, 3*. Non-Invasive Blood Glucose Measurement Based on Near-Infrared
Spectroscopy Combined With Label Sensitivity Algorithm and
Support Vector Machine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 617-624. |
| [2] |
GE Xue-feng, SHI Bin, TANG Meng-yuan, JI Kang, ZHANG Yin-ping, GU Min-fen*. Spectral Detection of Desloratadine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 751-755. |
| [3] |
YUAN Hui, LIU Dan, XU Guang-tong*. Determination of Trace Gaseous Contaminants in FCV Hydrogen Fuel by Modular Fourier Transform Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 853-858. |
| [4] |
TANG Jie1, LUO Yan-bo2, LI Xiang-yu2, CHEN Yun-can1, WANG Peng1, LU Tian3, JI Xiao-bo4, PANG Yong-qiang2*, ZHU Li-jun1*. Study on One-Dimensional Convolutional Neural Network Model Based on Near-Infrared Spectroscopy Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 731-736. |
| [5] |
GUO Tuo1, XU Feng-jie1, MA Jin-fang2*, XIAO Huan-xian3. Characteristic Wavelength Selection Method and Application of
Near Infrared Spectrum Based on Lasso Huber[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 737-743. |
| [6] |
XIA Yan-qiu1, XIE Pei-yuan1, NAY MIN AUNG1, ZHANG Tao1, FENG Xin1, 2*. The Improved Genetic Algorithm is Embedded Into the Classical
Classification Algorithm to Realize the Synchronous
Identification of Small Quantity and Multi Types of
Lubricating Oil Additives[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 744-750. |
| [7] |
LIU Tao, LI Bo, XIA Rui*, LI Rui, WANG Xue-wen. Study on Coal and Gangue Recognition by Vis-NIR Spectroscopy Under Different Working Conditions[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 821-828. |
| [8] |
LIU Bi-wang1, LU Rong-rong2, CAO Yue2, WANG Xiu-wen3, ZHAO Huan4, HAO Miao3, MA Xiao-xia3, MA Yan-miao2, WANG Yong-hui2. FTIR Study on the Effect of DangGuiTongFengFang on Hyperuricemia Nephropathy in Mice[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 800-806. |
| [9] |
ZHANG Zhong-xiong1, 2, 3, LIU Hao-ling1, 3, WEI Zi-chao1, 2, PU Yu-ge1, 3, ZHANG Zuo-jing1, 2, 3, ZHAO Juan1, 2, 3*, HU Jin1, 2, 3*. Comparison of Different Detection Modes of Visible/Near-Infrared
Spectroscopy for Detecting Moldy Apple Core[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(03): 883-890. |
| [10] |
LIU Zhao-hai1, AN Xin-chen1, 3, TAO Zhi1, 2, LIU Xiang1, 2*. Multicomponent Trace Gas Detecting and Identifying System Based on MEMS-FPI on-Chip Spectral Device[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(02): 359-366. |
| [11] |
SUN He-yang1, ZHOU Yue1, 2, LI Si-jia1, 2, LI Li1, YAN Ling-tong1, FENG Xiang-qian1*. Identification of Ancient Ceramic by Convolution Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(02): 354-358. |
| [12] |
ZHANG Wei-gang, PAN Lu-lu, LÜ Dan-dan. Study on Near-Infrared Spectroscopy, Mechanics and Salt Water
Resistance of Epoxy Resin-Based Near-Infrared Absorbing Coatings[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(02): 439-445. |
| [13] |
SONG Ge1, 2, KONG Xiang-shi3*. Spectroscopic Characteristics of Soil Humus Components Extracted With Acetone Hydrochloric Acid Mixture[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(02): 474-479. |
| [14] |
CHENG Jia-wei1, 2，LIU Xin-xing1, 2*，ZHANG Juan1, 2. Application of Infrared Spectroscopy in Exploration of Mineral Deposits: A Review[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 15-21. |
| [15] |
LI Jie, ZHOU Qu*, JIA Lu-fen, CUI Xiao-sen. Comparative Study on Detection Methods of Furfural in Transformer Oil Based on IR and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 125-133. |
|
|
|
|
