Papers
2
Total Citations
10
H-Index
2
About
Dominique Lochegnies is a researcher specializing in the numerical modeling and optimization of glass forming processes, with a particular focus on industrial applications. His work bridges the gap between computational mechanics and traditional glass craftsmanship, most notably through his contributions to robotized glass blowing. In his highly cited 2004 paper, he developed a numerical optimization framework for a new robotized glass blowing process, identifying convection coefficients and glass viscosity as the most influential parameters in forming. To address these critical factors, Lochegnies pioneered inverse determination methods, using industrial testing to accurately measure glass viscosity and heat transfer coefficients—work detailed in his 2002 study. These contributions have provided foundational tools for improving process control and product quality in glass manufacturing. While his citation counts reflect a specialized but impactful niche, his research has direct relevance to industrial efficiency and the automation of artisanal techniques. Lochegnies’ work exemplifies how computational modeling can transform traditional manufacturing, offering practical solutions for temperature measurement and material behavior prediction in high-temperature forming environments.
Research Focus
Key Achievements
Top Papers
- 1Numerical optimization of a new robotized glass blowing process8 citations · 2004
- 2