• Title/Summary/Keyword: 서셉터

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A Study on the Evaluation Method of Lap Shear Strength for Induction Welding of Thermoplastic Composites using Tensile Test (인장 시험을 이용한 열가소성 복합재료 유도용접 전단강도 평가방법에 대한 고찰)

  • Baek, Inseok;Lee, Seoksoon
    • Journal of Aerospace System Engineering
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    • v.16 no.1
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    • pp.12-16
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    • 2022
  • Currently, Induction welding is attracting attention as a non-contact, clean and fast welding process. However, since thermoplastic resins are not affected by electromagnetic fields, induction welding requires a heating element called a susceptor. Researches are being conducted with the aim of achieving high-quality bonding, however, the factor of a heating element is an issue, hence the need to set a standard. Specimen fabrication and testing are conducted according to ASTM D5868. In this study, we propose that the evaluation criteria be judged on the basis of three factors; the condition of the welded joint surface, void content, and lap shear strength. Since the adhesive surface to be welded melts and solidifies as it cools, rapid temperature changes can generate pores. In addition, if the heating is not uniform, it is difficult to expect the desire performance. Using PA6 (CF 30%) thermoplastic, susceptor fabrication, induction welding and performance verification were conducted.

A Verification Algorithm for Temperature Uniformity of the Large-area Susceptor (대면적 서셉터의 온도 균일도 검증 알고리즘)

  • Yang, Hac Jin;Kim, Seong Kun;Cho, Jung Kun
    • Journal of the Korean Society for Precision Engineering
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    • v.31 no.10
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    • pp.947-954
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    • 2014
  • Performance of next generation susceptor is affected by temperature uniformity in order to produce reliably large-sized flat panel display. In this paper, we propose a learning estimation model of susceptor to predict and appropriately assess the temperature uniformity. Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) are compared for the suitability of the learning estimation model. It is proved that SVMs provides more suitable verification of uniformity modeling than ANNs during each stage of temperature variations. Practical procedure for uniformity estimation of susceptor temperature was developed using the SVMs prediction algorithm.

Mini Review: A Current Status of Microwave Susceptor Packaging (전자레인지 서셉터 패키징 기술개발 현황)

  • Lee, Wooseok;Choi, Jungwook;Song, Hyuk-Hwan;Ko, Seonghyuk
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.26 no.3
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    • pp.133-138
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    • 2020
  • As HMR (home meal replacement) food market grows rapidly, a new packaging with more HMR specialized functions is highly required to promote consumers' convenience. A susceptor is defined as a material generating heat by absorbing electromagnetic energy such typically as radiofrequency or microwave radiation. In microwave cooking, susceptors are made of conductive metal thin film deposited on paper or plastic sheet and have generally been used to help crispen or brown foods by converting microwave energy into heat. This mini review article deals with current status of microwave susceptor packaging including commercial products, technical theory, types of susceptor and a test method for heating performance.

Design and Performance Test of Large-Area Susceptor for the Improvement of Temperature Uniformity (온도 균일도 향상을 위한 대면적 서셉터의 설계 및 성능 시험)

  • Yang, Hac Jin;Kim, Seong Kun;Cho, Jung Kun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.6
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    • pp.3714-3721
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    • 2015
  • Although sheath-type heating line is generally used for susceptor heater, performance deterioration problems in temperature uniformity occurs in the case of large scale and high temperature condition. We developed new design and prototype of the susceptor using sheet metal to provide performance improvement in temperature uniformity. Temperature uniformity below 1.4% in the surface temperature condition of $450^{\circ}C$ was verified in the susceptor prototype. Also we developed Kernel regression algorithm to estimate measured temperature using temperature learning data. The reliability of the measured temperature uniformity was confirmed by comparative analysis between predicted data and measured data.