When monitoring an industrial process, extreme sensory conditions can make it difficult to rely solely on direct observation. In this paper, we describe the development of an alternative display method for the production criteria of a wire-arc 3D-printing process using sonification. We made this display mostly ambient, as it is preferable in order to avoid fatigue in long-term usage. The sounds were chosen to be cognitively distinct progressive alarms so they would be easier to identify. The evaluation consists in a dual-task identification trial, so as to measure the proper communication of critical information as well as account for the level of distraction from other tasks. The results show that the attentional pull is rather minor and still allows for above-random criteria recognition rates. Though, there seems to be an occasional cognitive overlap between the sounds representing local and global overheating. The droning tone for the height of the part also tends to be drowned out in some cases. Both flaws will need to be addressed in future iterations.