Abstract

This paper presents a methodology for simulating 3D printing pro-cesses from G-code, generating accurate layer-by-layer visualiza-tions, and aligning virtual camera views with physical setups forreal-time monitoring, error detection, and in-process correction.By parsing G-code, extracting extrusion commands, and simulat-ing toolpath trajectories, a detailed 3D representation of the printprocess is created. To enhance realism, real image data—such asnoise, brightness variations, and contrast adjustments—is incor-porated, improving alignment between simulated and capturedimages. Additionally, camera field-of-view alignment is achievedusing rotation matrices and translation vectors, bridging the gapbetween simulation and real-world observations. The proposedmethods enable real-time error detection and correction, stream-lining simulation and visualization workflows to enhance additivemanufacturing processes.