A case study of the dimensional effects in an additive manufacturing process with multiple operations

This dataset provides a case study for the dimension changes of the prints in an additive manufacturing process with multiple operations. The operations are Stereolithography (SLA) printing and its two post-processing processes (washing and post-curing). The dataset contains the measured dimensions of the prints after each operation, which allows the modeling of each operation individually.