D. Pimenov

Mechanical Engineering · 2018–2022

A researcher in the Science corpus: 10 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Pimenov trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Bernhard Sick
  2. Steven M. LaValle
  3. Subhash C. Bagui
  4. Emmanuel Okechukwu Ezugwu
  5. Munish Kumar Gupta

Papers from D. Pimenov's perspective

Ordered by how strongly the researchers D. Pimenov trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Planning algorithms
  2. ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF RESEARCH
  3. Advanced monitoring of machining operations
  4. Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments
  5. Estimation of tool wear during CNC milling using neural network-based sensor fusion
  6. Tool condition monitoring techniques in milling process — a review
  7. A review of flank wear prediction methods for tool condition monitoring in a turning process (The International Journal of Advanced Manufacturing Technology)
  8. Tool wear characterizations in finish turning of AISI 1045 carbon steel for MQCL conditions
  9. "Industrie 4.0" and Smart Manufacturing - A Review of Research Issues and Application Examples (International Journal of Automation Technology)
  10. Tool life predictions in milling using spindle power with the neural network technique

Their papers