Low-Cost Non-Contact PCBs Temperature Monitoring and Control in a Hot Air Reflow Process Based on Multiple Thermocouples Data Fusion

As the environmental concern is being raised over residues of lead, the trend of transferring from the conventional lead-based soldering to lead-free soldering is overwhelming. Lead-free solders require the peak temperature to be about 30 degrees Celsius higher than lead-based solders, which induce...

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Main Author: Tin Lun Lam
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9250461/
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spelling doaj-a6f4bc97a8f1459b9a16e907900dcf7d2021-09-14T23:00:21ZengIEEEIEEE Access2169-35362021-01-01912356612357410.1109/ACCESS.2020.30365279250461Low-Cost Non-Contact PCBs Temperature Monitoring and Control in a Hot Air Reflow Process Based on Multiple Thermocouples Data FusionTin Lun Lam0https://orcid.org/0000-0002-6363-1446Shenzhen 3irobotix Company Ltd., Shenzhen, ChinaAs the environmental concern is being raised over residues of lead, the trend of transferring from the conventional lead-based soldering to lead-free soldering is overwhelming. Lead-free solders require the peak temperature to be about 30 degrees Celsius higher than lead-based solders, which induce a narrower margin between the highest melting temperatures of lead-free solders and the heat-resistant temperatures of electronic components. As a result, the accuracy of temperature control of reflow systems needs to meet a higher standard to maintain the solder quality. Whereas, the conventional control process of the onboard temperature is open-loop, which cannot achieve the required accuracy. A closed-loop method by using an array of thermal image cameras for temperature monitoring is too expensive. In order to provide a low-cost and accurate temperature control solution for reflow systems, a cost-effective non-contact temperature approximation and control system is proposed in this article. The proposed temperature approximation is achieved based on a machine learning method with multiple-input single-output strategies to get a relationship between the temperatures near the PCBs and the onboard temperature. The proposed system controls the temperature in a real-time fuzzy logic algorithm to achieve a more accurate control result. The experiment results reveal the feasibility of the proposed temperature approximation and control system.https://ieeexplore.ieee.org/document/9250461/Control systemsautomationtemperature measurementtemperature control
collection DOAJ
language English
format Article
sources DOAJ
author Tin Lun Lam
spellingShingle Tin Lun Lam
Low-Cost Non-Contact PCBs Temperature Monitoring and Control in a Hot Air Reflow Process Based on Multiple Thermocouples Data Fusion
IEEE Access
Control systems
automation
temperature measurement
temperature control
author_facet Tin Lun Lam
author_sort Tin Lun Lam
title Low-Cost Non-Contact PCBs Temperature Monitoring and Control in a Hot Air Reflow Process Based on Multiple Thermocouples Data Fusion
title_short Low-Cost Non-Contact PCBs Temperature Monitoring and Control in a Hot Air Reflow Process Based on Multiple Thermocouples Data Fusion
title_full Low-Cost Non-Contact PCBs Temperature Monitoring and Control in a Hot Air Reflow Process Based on Multiple Thermocouples Data Fusion
title_fullStr Low-Cost Non-Contact PCBs Temperature Monitoring and Control in a Hot Air Reflow Process Based on Multiple Thermocouples Data Fusion
title_full_unstemmed Low-Cost Non-Contact PCBs Temperature Monitoring and Control in a Hot Air Reflow Process Based on Multiple Thermocouples Data Fusion
title_sort low-cost non-contact pcbs temperature monitoring and control in a hot air reflow process based on multiple thermocouples data fusion
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description As the environmental concern is being raised over residues of lead, the trend of transferring from the conventional lead-based soldering to lead-free soldering is overwhelming. Lead-free solders require the peak temperature to be about 30 degrees Celsius higher than lead-based solders, which induce a narrower margin between the highest melting temperatures of lead-free solders and the heat-resistant temperatures of electronic components. As a result, the accuracy of temperature control of reflow systems needs to meet a higher standard to maintain the solder quality. Whereas, the conventional control process of the onboard temperature is open-loop, which cannot achieve the required accuracy. A closed-loop method by using an array of thermal image cameras for temperature monitoring is too expensive. In order to provide a low-cost and accurate temperature control solution for reflow systems, a cost-effective non-contact temperature approximation and control system is proposed in this article. The proposed temperature approximation is achieved based on a machine learning method with multiple-input single-output strategies to get a relationship between the temperatures near the PCBs and the onboard temperature. The proposed system controls the temperature in a real-time fuzzy logic algorithm to achieve a more accurate control result. The experiment results reveal the feasibility of the proposed temperature approximation and control system.
topic Control systems
automation
temperature measurement
temperature control
url https://ieeexplore.ieee.org/document/9250461/
work_keys_str_mv AT tinlunlam lowcostnoncontactpcbstemperaturemonitoringandcontrolinahotairreflowprocessbasedonmultiplethermocouplesdatafusion
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