Benjamin Klerch

Offenburg University of Applied Sciences

Papers

2

Total Citations

52

H-Index

2

About

Benjamin Klerch is a researcher specializing in structural optimization and additive manufacturing, with a particular focus on bridging the gap between advanced manufacturing processes and intelligent design methodologies. His work explores how topology optimization and structural optimization techniques can be leveraged to fully exploit the capabilities of additive manufacturing — a field that has seen rapid expansion in both available processes and materials. Klerch's most notable contribution, "Topology Optimization for Additive Manufacturing Using a Component of a Humanoid Robot" (2018), has garnered 30 citations and demonstrates the practical application of design optimization in real-world robotics contexts, highlighting how additive manufacturing can enable complex geometries previously unachievable through conventional methods. His subsequent work, "Structural Optimization in Lightweight Design for Additive Manufacturing" (2019, 22 citations), further advances this agenda by emphasizing the necessity of adapting product development workflows to align with the unique opportunities these new processes present. Together, Klerch's publications, accumulating over 50 citations, reflect a consistent commitment to lightweight design principles and manufacturing-aware optimization strategies. His research offers valuable insights for engineers and designers seeking to maximize performance while minimizing material use — a challenge increasingly central to modern engineering practice.

Research Focus

Key Achievements

2
H-Index
2
Papers
52
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Topology optimization for additive manufacturing using a component of a humanoid robot
30 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Offenburg University of Applied Sciences

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago