Smart Formulation of cBN (Cubic Boron Nitrite) Slurry for Insert Fabrication: A Bayesian Optimization Approach in Vat Photopolymerization
Abstract: Vat photo polymerization (VPP) is a high-precision additive manufacturing technique for producing complex ceramic components. It requires a high ceramic content to reduce shrinkage and improve mechanical integrity, but also raises the slurry's viscosity, compromising printability. Traditional trial-and-error methods are time-consuming and costly, especially for high-value materials like cubic boron nitride (cBN). Bayesian optimization, an AI-driven technique, was used to guide experimental formulation, resulting in a VPP-suitable cBN slurry with 69 vol. % ceramic content in fewer than 40 iterations. This demonstrates how integrating AI with materials development can accelerate optimization, reduce waste, and advance high-performance ceramics in additive manufacturing.
Keywords: Additive Manufacturing, Vat Photopolymerization (VPP), Cubic Boron Nitride(cBN), Ceramic Slurry Formulation, Bayesian Optimization, High Solid Loading, Slurry Viscosity Control, AI-Driven Materials Design
How to Cite?: Sampath Kumar R, "Smart Formulation of cBN (Cubic Boron Nitrite) Slurry for Insert Fabrication: A Bayesian Optimization Approach in Vat Photopolymerization", Volume 14 Issue 7, July 2025, International Journal of Science and Research (IJSR), Pages: 320-324, https://www.ijsr.net/getabstract.php?paperid=SR25703110142, DOI: https://dx.doi.org/10.21275/SR25703110142