使用田口方法於網版印刷參數與印刷效率之最適化研究

隨著全球淨零排放、人類永續經營的氣候議題陸續受到國際高度關注，與之高度相關的交通運輸成為重點改善項目之一。本研究中的標的即為在交通工具電動化的過程中，具有高使用比重的電子載板。在車用這較關乎人身安全、又相對競爭的市場中，提升品質水準要求下的塗料印刷製程能力與減少成本耗用，將成為產品是否具有市場競爭力的關鍵。因此本研究使用田口的穩健靜態參數設計方法進行二階段最佳化程序，並透過變異數分析找出真正對塗料厚度有影響的關鍵參數，最後做數據分析以找出最適化的參數組合。在相關的實驗擬定、實驗執行、資料收集、數據分析、實務驗證後，成功得出乳劑厚度、網版張力值、刮刀硬度、刮刀下壓量、網版間隙為關鍵的影響因子，並在最適化的參數模擬驗證後，確認製程能力可由1.27提升至2.3，高於北美三大汽車廠SPC技術手冊的要求，以及塗料黏度、刮刀速度為無效的影響因子，可以不額外花費資源在上面的結果。與過往經由經驗傳承或試誤法所得出的結論相比，本研究的結果除了提高產品的品質製程能力，更降低無效影響因子的生產管控成本，大幅提升產品在市場上的競爭力。

關鍵字

田口方法；厚膜印刷

並列摘要

As the global Net Zero emissions and human sustainable development have attracted international attentions, transportation that is highly related and has become one of the key improvement targets. The target of this study is the electronic substrates with a high use proportion in the process of electrification of vehicles. In the automotive market, which is more related to personal safety and relatively competitive, improving the paste printing process capability and reducing cost consumption under the quality standard will become the key to whether the product can be competitive in the market. This study plans to use Taguchi's robust process design to carry out a two-stage optimization procedure, and to find out the key parameters that affect the paste thickness through variance analysis. Finally, data analysis is done to find out the optimal combination of parameters. After the relevant experiment planning, experiment execution, data collection, data analysis, and practical verification. Successfully concluded that the emulsion thickness, mesh tension, squeegee hardness, squeegee pressure, and snap-off are the key influencing factors, and after the optimization parameter simulation verification, it was confirmed that the process capability can be improved from 1.27 to 2.3, which is higher than the requirements of North America SPC technical manuals of the three major automobile manufacturers. And paste viscosity and squeegee speed are invalid influencing factors, no need to spend additional resources on it. Compared with the previous conclusions from experience inheritance or trial-and-error method, the results of this study not only improve product quality and process capabilities, but also reduce production control costs for invalid influencing factors, and greatly enhance product competitiveness in the market.