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自黏鐵芯感應加熱之磁熱耦合預測模型建立

A Predication Model for Self-bonding Coating Motor Core During Induction Heating Curing Process

Abstracts


因應電動車近年快速的發展,馬達朝向高性能及低損耗之趨勢已成主流,故馬達的鐵芯採用與接著劑加熱達到膠合疊片方式的需求也隨之增加。然而,鐵芯熱固化的方式目前有烘烤加熱及感應加熱等方式,其中又以感應加熱固化的方式最為快速。本論文建立自黏鐵芯感應加熱固化之製程磁熱耦合預測模型,透過多層材料等效簡化的數學方式提高模型運算效率。結果顯示本論文建立之自黏鐵芯感應加熱等效模型,與實驗結果具有高度一致性,未來可提供各種鐵芯於感應加熱固化之製程條件預測,掌握自黏鐵芯在不同製程條件下的加熱狀況。透過本論文所完成之EV定子(外徑220 mm)製程資料庫,有助自黏鋼捲未來推廣與銷售過程中,提供客戶設計生產製程之前期技術評估,並滿足中鋼下游客戶各種鐵芯的加熱需求。

Parallel abstracts


Recently, the electric vehicle motor has developed rapidly by enhancing performance and decreasing iron loss. In addition to the continuous thinning of the electrical steel(ES) sheet of the motor core, the manufacturing method has also changed which is from the riveting and welding to glue bonding. China Steel has developed self-bonding coating ES coil for the market demand timely. The ES coil can be heated to make the surface coating to bond other electrical steel sheet. However, the fastest thermal curing method is induction heating. This study establishes a temperature prediction model of self-bonding coating ES in the induction heating curing process. The results show that the model is highly consistent with the experiments. It can not only provide the temperature prediction of any type of self-bonding iron core by induction heating curing process, but it also increases the value added of self-bonding coating ES products for China Steel.

References


蕭一清、黃議興、陳宗榮,鑛冶,(2010),54,2,47-53。
蔡明欽、李欣怡、蕭一清,(2017),「極薄電磁鋼片開發」,中鋼半月刊 - 技術報導,106,no. 5/1,4。
林世庭,(2018),「電動車驅動馬達用電磁鋼片開發」,中鋼半月刊 - 技術報導,107,no. 12/1,4。
[Online]https://www.voestalpine.com/isovac/en/Product-overview/Backlack/backlack-v-R.
林新惟,林省揚,張博民,劉彥廷,林夐崧,鑛冶,(2022),66,1,61-69。

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