Project Details
Funding Scheme : Early Career Scheme
Project Number : 22300522
Project Title(English) : Phase field modeling, calibration and experimental design for Stereolithography in 3D printing 
Project Title(Chinese) : 3D打印立體光刻的相場建模、校準和實驗設計 
Principal Investigator(English) : Dr Lam, Kei Fong 
Principal Investigator(Chinese) :  
Department : Department of Mathematics
Institution : Hong Kong Baptist University
Co - Investigator(s) :
Panel : Physical Sciences
Subject Area : Mathematics
Exercise Year : 2022 / 23
Fund Approved : 688,110
Project Status : On-going
Completion Date : 31-12-2025
Abstract as per original application
Industry 4.0 is a concept that attempts to revolutionize the way we manufacture products in factories. Through recent progresses in Internet-of-Things, cloud computing and artificial intelligence, companies can now capitalize on real-time visibility of the status and progress occurring in production, and have begun gradually transitioning towards a new manufacturing format with minimal human input and increased automation. At the centre of this paradigm shift, 3D printing technologies are expected to play a significant role. Stereolithography, as one of the earliest 3D printing technologies, builds objects in a layer-by-layer fashion by using an ultraviolet laser to solidify liquid polymer resin. Its main application lies in crafting high resolution 3D models of anatomical regions for medical training and surgery planning. However, objects created from the same design can exhibit undesirable variations in mechanical properties due to small differences in the printing environment. These variations can be minimized by combining data collection with well-placed sensors and numerical prediction of mechanical properties from calibrated mathematical models, which then guide the appropriate adjustment of the construction apparatus. We plan to provide a mathematical framework of the above strategy for stereolithography. The main goals of this proposal are to develop and calibrate some novel mathematical models, and explore sensor configurations minimizing uncertainty in the collected data to facilitate model calibration. The key ingredient for the modeling is the phase field approach that produces mathematical descriptions amenable to further theoretical and numerical analysis. Then, we tackle the problems of calibration and sensor placement with the framework of optimal experimental design. The proposed modeling and accompanying investigations can also be applied to other 3D printing technologies, and thus we envision the ideas developed here can contribute towards resolving other challenges encountered in the advent of Industry 4.0.
工業 4.0 是一個試圖徹底改變我們在工廠製造產品的方式的概念。通過物聯網、雲計算和人工智能的最新進展,工廠現在可以利用生產中出現的狀態和進展,並開始逐漸向一種最少人工投入,更高自動化的製造形式過渡。在這種範式轉變的中心,3D 打印技術有望發揮重要作用。 立體光刻作為最早的 3D 打印技術之一,通過使用紫外激光固化液態聚合物樹脂逐層構建物體。它的主要應用在於為醫療培訓和手術計劃製作解剖區域的高分辨率 3D 模型。但是,由於打印環境的微小差異,由相同設計創建的模型可能會在機械性能方面表現出不同的變化。通過將數據收集與放置良好的傳感器和來自校準的數學模型的機械性能的數值預測相結合來可以將這些變化最小化,然後指導施工設備的適當調整。 我們計劃為上述立體光刻策略提供一個數學框架。該提案的主要目標是開發和校準一些新穎的數學模型,並探索傳感器配置,以最大限度地減少收集數據中的不確定性,以促進模型校準。建模的關鍵要素是產生數學描述的相場方法可以進行進一步的理論和數值分析。然後,我們在優化實驗設計的框架下解決校準和傳感器放置問題。提議的建模和相關調查也可以應用於其他 3D 打印技術,因此我們這裡開發的想法可以有助於解決工業 4.0 到來時遇到的其他挑戰。
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