In additive manufacturing, tighter tolerances do not come for free, they come with increased complexity, time, and cost. Each increment of precision typically requires additional post-processing steps such as machining, polishing, or detailed inspection.
While modern metal AM systems can achieve impressive accuracy, the as-printed state still has inherent variability due to factors like thermal distortion, layer resolution, and support interaction. To meet ultra-tight specifications, these variations must be corrected downstream.
This creates a “tolerance cost curve,” where the cost rises exponentially as tolerances become tighter. Beyond a certain point, the added expense may not deliver proportional functional value, especially for non-critical features.
A more effective approach is to apply precision selectively. Engineers should identify which features truly require tight tolerances, such as sealing surfaces or critical interfaces, and allow more flexibility elsewhere. This reduces unnecessary post-processing while maintaining performance.
Understanding the relationship between tolerance and cost enables smarter design decisions. By balancing precision with practicality, teams can optimize both part performance and overall manufacturing efficiency.