Kevin Spieldiener

ETH Zurich

Papers

1

Total Citations

8

H-Index

1

About

Kevin Spieldiener is a researcher in advanced manufacturing, specializing in direct metal deposition (DMD) and computer-aided design (CAD) integration. His most notable contribution is the development of enhanced toolpath generation techniques for DMD, a critical additive manufacturing process for producing complex metal components. By leveraging distinctive CAD data, Spieldiener’s work improves the precision and efficiency of deposition paths, reducing material waste and fabrication time. His 2017 paper on this topic, with 8 citations, has informed subsequent studies in additive manufacturing process optimization, particularly in aerospace and biomedical applications. Spieldiener’s research bridges the gap between digital design and physical production, enabling more reliable and cost-effective metal additive manufacturing. His achievements underscore the importance of data-driven toolpath strategies in advancing industrial 3D printing, making his work a foundational reference for engineers and researchers seeking to enhance DMD workflows.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Enhanced Toolpath Generation for Direct Metal Deposition by Using Distinctive CAD Data
8 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: ETH Zurich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago