Stereolithography (SLA) rapid prototyping is a widely used additive manufacturing technology, known for its ability to produce high-precision prototypes. However, achieving the desired accuracy in SLA has always been a key challenge for both equipment developers and users. Since its inception, SLA has focused on overcoming issues such as warping, dimensional inaccuracy, and surface quality, all of which are essential to improving the overall precision of prototypes. In this article, we will explore the main factors that affect SLA precision and outline some of the strategies to control them.
The precision of an SLA prototype generally includes three key aspects: shape accuracy, dimensional accuracy, and surface accuracy.
The precision of SLA is influenced by multiple factors throughout the prototyping process, ranging from data handling and resin properties to laser scanning techniques. Below, we will discuss the key factors that affect SLA precision and corresponding solutions.
Before the prototyping process can begin, a 3D CAD model must be converted into an STL file and sliced into layers. This conversion process introduces errors, particularly due to the use of small triangles in the STL format to approximate curved surfaces. These triangles often fail to fully capture the details of the original design, leading to discrepancies in the printed prototype.
To mitigate this issue, the conversion accuracy of the STL file should be adjusted. Using a higher number of triangles will result in a more accurate model but at the cost of increased file size, which can exceed the system’s processing capacity. An alternative to STL is the SLC format, developed by 3D Systems, which reduces the conversion errors associated with STL. Some CAD software, like Pro/E, allows for direct slicing of the 3D model, which can help reduce these errors.
In addition, the choice of slicing thickness is critical. A smaller layer thickness reduces the “staircase effect” (visible step patterns on sloped surfaces), but too fine a layer thickness increases processing time and data volume. Some research has focused on adaptive slicing algorithms, which dynamically adjust the layer thickness based on the surface complexity of the prototype, thereby optimizing both accuracy and efficiency.
Another significant challenge in SLA is the shrinkage of the photopolymer resin during the curing process. As the resin undergoes crosslinking under the influence of UV light, its molecular structure changes, resulting in a volume shrinkage. This shrinkage generates internal stresses within the part, leading to warping and dimensional errors, especially in larger parts.
To reduce warping, manufacturers are exploring new material formulations. For example, incorporating expansion-type monomers into the resin can counteract shrinkage. Additionally, using cationic photopolymer resins has been found to have a lower shrinkage rate compared to free-radical-based resins, helping to improve precision. Software compensation for volume shrinkage can also be applied during the design phase to mitigate these effects.
SLA is a layer-by-layer process where each layer of cured resin is followed by the application of a new resin layer. The consistency of the resin coating thickness is crucial for maintaining high precision. If the coating is too thick, it leads to excessive stress between layers, causing warping. If the coating is too thin, poor adhesion between layers can result in delamination.
Ensuring uniform resin application is key to maintaining high precision. Methods such as “secondary exposure,” which involves multiple exposure steps for each layer, can help control layer thickness and reduce errors. Other innovations, such as constrained liquid surface techniques, have been proposed to achieve more uniform resin layers, minimizing the thickness variation across the surface.
The optical system, including the laser spot used to cure the resin, plays a critical role in determining the resolution of SLA. A larger laser spot diameter can result in a loss of fine detail, especially for small features such as corners or narrow slots. The precision of the laser focus and its size directly impact the quality of the finished part.
Most SLA systems use multimode lasers, which result in a larger laser spot size and lower precision. Switching to a single-mode laser, which offers better beam quality and a smaller focus diameter, can improve accuracy. Furthermore, the system’s scanning mechanism (usually a dual-mirror setup) can cause geometric distortions, such as “pillow-shaped” scanning paths. These distortions can be corrected through software adjustments and by using dynamic focusing mechanisms that adjust the lens position during scanning.
Laser scanning is a pivotal factor in determining SLA accuracy. A common approach is the zig-zag scanning method, where the laser moves in parallel paths across the part. However, this method can lead to issues such as vibration, noise, and excessive “stringing” (unwanted resin lines between non-adjacent areas), especially when the scanner quickly jumps over hollow regions.
A more efficient alternative is the “partitioned scanning” method, where each area is filled with continuous zig-zag paths, minimizing unnecessary movement. This technique reduces stress and improves accuracy by minimizing warping. Other scanning patterns, such as spiral scanning, have been found to be more precise for flat parts.
In SLA, the laser spot diameter has a direct impact on the part’s final dimensions. Due to the nature of the curing process, the finished part typically shows a slight over-extrusion, leading to a positive dimensional error. This issue can be addressed by compensating for the laser spot size in the software, adjusting the scanning path to compensate for the radius of the laser spot.
By adjusting the compensation parameters based on dimensional errors, manufacturers can reduce inaccuracies and achieve more precise results. This technique ensures that the finished part is as close as possible to the desired dimensions.
Stereolithography offers remarkable advantages for rapid prototyping, but achieving high precision requires addressing numerous influencing factors, from data processing to material shrinkage and laser scanning techniques. By refining these elements and incorporating advanced technologies, the SLA process can achieve remarkable accuracy. However, it is essential to consider all factors in tandem, as each element plays a crucial role in the overall precision of the part. As SLA technology continues to evolve, ongoing research into material development, software optimization, and scanning techniques will ensure the continual improvement of part accuracy, enabling more reliable and efficient rapid prototyping solutions.