P.J. Arrazola

Mondragon Unibertsitatea

Papers

4

Total Citations

12

H-Index

2

About

P.J. Arrazola is a researcher specializing in advanced manufacturing processes, with a particular focus on robotic drilling, composite materials, and machining optimization. Their work addresses critical challenges in modern manufacturing, especially the drilling of hybrid material stacks combining fiber-reinforced polymers (GFRP) with metals such as aluminum alloys and stainless steel — materials increasingly prevalent in aerospace and automotive industries. Arrazola's most significant contributions center on understanding and improving hole quality, surface integrity, and process reliability in robotic machining environments. Recognizing that industrial robots offer compelling advantages in flexibility and cost over traditional CNC machines, their research systematically investigates the trade-offs in rigidity and precision that accompany these benefits. Notable work includes applying modal analysis to reduce machining uncertainty and developing experimental methodologies to optimize robotic drilling of aluminum alloys, providing practical frameworks for industrial implementation. With publications spanning from 2017 to 2025 and accumulating citations across the manufacturing research community, Arrazola's body of work has helped advance the understanding of robotic machining limitations and solutions. Their research is particularly valuable for engineers and students seeking to bridge the gap between emerging robotic manufacturing technologies and the demanding quality standards required in high-performance material applications.

Research Focus

Key Achievements

2
H-Index
4
Papers
12
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Effect of Cutting Conditions on Surface Integrity when Robotic Drilling of Aluminum 6082-GFRP Stacks
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Mondragon Unibertsitatea

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago