Yuanjian Lv

About

Yuanjian Lv is a leading researcher in advanced manufacturing, specializing in robotic belt grinding, precision machining, and surface integrity of difficult-to-machine materials. His work bridges computational modeling and practical automation, with a focus on improving the quality and efficiency of grinding processes for critical components like turbine blades and ceramic parts. Lv’s most impactful contribution is an adaptive trajectory planning algorithm for robotic belt grinding of blade leading and trailing edges, published in 2020 and cited 153 times, which optimizes material removal using a profile model to enhance geometric accuracy. He also developed an improved chip-thickness model that accounts for elastic deformation at the contact wheel-workpiece interface, enabling more accurate surface roughness prediction—a key advance cited 46 times. Further, his numerical investigation into crack initiation and suppression in zirconia ceramics, leveraging this chip-thickness model, has garnered 17 citations, demonstrating his ability to tackle complex material challenges. Lv’s work is widely recognized for its practical impact on automated precision manufacturing, offering robust solutions for industries requiring high-integrity surfaces.

Research Focus

Key Achievements

Top Papers

1. 1
   An adaptive trajectory planning algorithm for robotic belt grinding of blade leading and trailing edges based on material removal profile model

   153 citations · 2020
2. 2
   An improved chip-thickness model for surface roughness prediction in robotic belt grinding considering the elastic state at contact wheel-workpiece interface

   46 citations · 2019
3. 3
   Numerical investigation of crack initiation, propagation and suppression in robot-assisted abrasive belt grinding of zirconia ceramics via an improved chip-thickness model

   17 citations · 2020

Key Collaborators

Contact & Links