Effect of Modeling-Optimization &Significant Process Parameters of Stereolithography (SLA) Printing on Part's Quality

Stereolithography (SLA) stands as a foundational additive manufacturing technology, renowned for its exceptional resolution and surface finish. However, achieving optimal part quality, mechanical performance, and process efficiency in SLA 3D printing is critically dependent on the precise control and judicious optimization of numerous interdependent significant process parameters. This paper provides a comprehensive overview of the state-of-the-art in parametric optimization strategies applied to SLA. The present work identifies current challenges, including multi-objective optimization complexity and data scarcity, and proposes promising future research directions, such as real-time adaptive control, integration with digital twins, and the development of robust predictive models. The proposed work aims to serve as a valuable resource for researchers, engineers, and practitioners seeking to advance the capabilities and reliability of SLA 3D printing. Across various SLA studies, precise parameter values like optimal layer thicknesses (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$0.1 \mu ~\mathrm{m}, 19$</tex> microns), specific build angles (0° to 90°), optimized exposure durations (2.1 to 5 seconds) and post processing were critical in significantly impacting surface roughness, dimensional accuracy, and part hardness.