Papers

2

Total Citations

16

H-Index

2

About

Joshua Penney is a researcher advancing the frontiers of hybrid metal manufacturing and robotic machining. His work centers on integrating additive and subtractive processes to produce large, freeform metal components with unprecedented flexibility. Penney’s major contributions include the development of a multi-system research platform that combines multiple robot stations, a multi-axis part transfer system, and a five-axis CNC machine, enabling the fabrication of complex geometries that were previously difficult to achieve. His highly cited 2024 paper on surface location error in robotic milling, with 11 citations, reveals how combined low- and high-frequency vibration modes affect machining accuracy—a critical insight for improving precision in automated manufacturing. This work has significant implications for industries requiring large-scale, high-tolerance metal parts, such as aerospace and automotive. Penney’s research, which has garnered a total of 16 citations in 2024 alone, demonstrates a clear impact on the field of advanced manufacturing, positioning him as a key innovator in hybrid production systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Surface location error in robotic milling: Effect of combined low frequency and high frequency vibration modes
11 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Knoxville College, University of Tennessee at Knoxville

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago