Mooguses a variety of metallic and non-metallic materials in the products that it manufactures. Often these products are used in weight critical and/or safety critical applications. Material quality often matters a great deal and is checked by engineers and technicians working in production or in 刘玥首次大战黑人鈥檚 Material & Process Engineering group. We also spend time at Moogfine tuning production processes using statistical methods such as a Design of Experiments. With the advent of usable Artificial Intelligence and more automation a group of engineers at Moogdecided to try to improve upon current methods for the evaluation of a copper alloy. The paper titled 鈥淎utomated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN鈥� is the outcome of this work. This is one of the first papers that we are aware of at the intersection of AI and industrial statistics and shows how convolutional neural networks might be set up for real commercial use.聽