Luke R Scime

Title: Luke R. Scime: Innovator in Powder Bed Additive Manufacturing Anomaly Detection

Introduction

Luke R. Scime, based in Knoxville, TN, is an inventive mind in the field of additive manufacturing. Known for his focus on anomaly detection within powder bed metal additive manufacturing processes, Scime has made significant contributions to this technology.

Latest Patents

Scime holds a patent titled "Systems and methods for powder bed additive manufacturing anomaly detection." This patent addresses the detection and classification of anomalies such as recoater blade impacts, binder deposition issues, spatter generation, and certain porosities that manifest on the surface during each layer of the building process. The innovation utilizes a multi-scaled parallel dynamic segmentation convolutional neural network architecture, which provides machine and imaging system agnostic pixel-wise semantic segmentation of layer-wise powder bed image data. Notably, the learned knowledge from this system can be easily applied across various additive manufacturing machines. This real-time anomaly detection offers both accuracy and generalizability in its results.

Career Highlights

Scime's work at UT-Battelle, Inc. positions him at the forefront of research and development in additive manufacturing technologies. His contributions have enhanced the understanding and implementation of effective solutions in this evolving field.

Collaborations

Throughout his career, Scime has collaborated with esteemed colleagues, including Vincent C. Paquit and Desarae J. Goldsby. Their teamwork exemplifies the collaborative spirit within research environments, fostering advancements in technology.

Conclusion

Luke R. Scime's innovative approach to anomaly detection in powder bed additive manufacturing represents a significant step forward in enhancing manufacturing processes. His patent not only contributes to the current body of knowledge but also sets a foundation for future advancements in the industry. As additive manufacturing continues to grow, the implications of Scime's work are poised to resonate widely across various applications.