World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
41
Citations
10257
World Ranking
1882
National Ranking
707

Overview

Brian P. Mann is affiliated with Duke University in the United States and has a research focus primarily in the field of Engineering. Their work spans several subfields including Mechanical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Civil and Structural Engineering, and Biomedical Engineering.

The scientist's recent publications indicate engagement with topics related to energy harvesting technologies, structural health monitoring, control systems, and advanced machining processes. Their key areas of research interest include:

  • Innovative Energy Harvesting Technologies
  • Structural Health Monitoring Techniques
  • Energy Harvesting in Wireless Networks
  • Advanced machining processes and optimization
  • Acoustic Wave Phenomena Research
  • Control Systems and Identification
  • Fault Detection and Control Systems

Brian P. Mann has contributed to multiple journals, with frequent publications appearing in:

  • Journal of Sound and Vibration
  • arXiv (Cornell University)
  • Journal of Vibration and Control
  • Journal of Manufacturing Processes
  • IEEE Transactions on Magnetics

They have worked collaboratively with several co-authors, with frequent collaborators including:

  • James D. Turner
  • Levi H. Manring
  • John Schultze
  • Xue-She Wang
  • Sandra Zimmerman

Selected recent papers authored or co-authored by Brian P. Mann are as follows:

  • "Constrained attractor selection using deep reinforcement learning," 2020, Journal of Vibration and Control
  • "Transfer learning for autonomous chatter detection in machining," 2022, Journal of Manufacturing Processes
  • "Analytical Force and Flux for a 1-D Electromagnetic Vibration Energy Harvester," 2020, IEEE Transactions on Magnetics
  • "High power electromagnetic vibration harvesting using a magnetic dumbbell structure," 2022, Journal of Sound and Vibration
  • "Attractor Selection in Nonlinear Energy Harvesting Using Deep Reinforcement Learning," 2020, arXiv (Cornell University)

Best Publications

  • Energy harvesting from the nonlinear oscillations of magnetic levitation

    B.P. Mann;N.D. Sims

  • Nonlinear dynamics for broadband energy harvesting: Investigation of a bistable piezoelectric inertial generator

    Samuel C. Stanton;Clark C. McGehee;Brian P. Mann

  • Reversible hysteresis for broadband magnetopiezoelastic energy harvesting

    Samuel C. Stanton;Clark C. McGehee;Brian P. Mann

  • Stability of Interrupted Cutting by Temporal Finite Element Analysis

    P. V. Bayly;J. E. Halley;B. P. Mann;M. A. Davies

  • Investigations of a nonlinear energy harvester with a bistable potential well

    B.P. Mann;B.A. Owens

  • Stability of up-milling and down-milling, part 1: alternative analytical methods

    T. Insperger;B.P. Mann;G. Stépán;P.V. Bayly

  • Multiple chatter frequencies in milling processes

    T Insperger;G Stépán;P.V Bayly;B.P Mann

  • Nonlinear piezoelectricity in electroelastic energy harvesters: Modeling and experimental identification

    Samuel C. Stanton;Alper Erturk;Brian P. Mann;Daniel J. Inman

  • Power extraction from aeroelastic limit cycle oscillations

    J.A. Dunnmon;S.C. Stanton;B.P. Mann;E.H. Dowell

  • Stability of up-milling and down-milling, part 2: experimental verification

    B.P. Mann;T. Insperger;P.V. Bayly;G. Stépán

  • Analytical prediction of chatter stability for variable pitch and variable helix milling tools

    N.D. Sims;B. Mann;S. Huyanan

  • Harmonic balance analysis of the bistable piezoelectric inertial generator

    Samuel C. Stanton;Benjamin A.M. Owens;Brian P. Mann

  • Limit cycles, bifurcations, and accuracy of the milling process

    B.P. Mann;P.V. Bayly;M.A. Davies;J.E. Halley

  • Effects of Radial Immersion and Cutting Direction on Chatter Instability in End-Milling

    Philip V. Bayly;Brian P. Mann;Tony L. Schmitz;David A. Peters

  • Simultaneous Stability and Surface Location Error Predictions in Milling

    Brian P. Mann;Keith A. Young;Tony L. Schmitz;David N. Dilley

  • Nonlinear nonconservative behavior and modeling of piezoelectric energy harvesters including proof mass effects

    Samuel C Stanton;Alper Erturk;Brian P Mann;Earl H Dowell

  • Dynamics of milling processes with variable time delays

    X.-H. Long;B. Balachandran;B. P. Mann

  • On the chatter frequencies of milling processes with runout

    Tamás Insperger;Brian P. Mann;Tobias Surmann;Gábor Stépán

  • Uncharted islands of chatter instability in milling

    B.R. Patel;B.P. Mann;K.A. Young

  • Closed-form solutions for surface location error in milling

    Tony L. Schmitz;Brian P. Mann

Frequent Co-Authors

Tony L. Schmitz
Tony L. Schmitz University of Tennessee at Knoxville
Philip V. Bayly
Philip V. Bayly Washington University in St. Louis
Gábor Stépán
Gábor Stépán Budapest University of Technology and Economics
Tamás Insperger
Tamás Insperger Budapest University of Technology and Economics
Neil D. Sims
Neil D. Sims University of Sheffield
Mark Sheplak
Mark Sheplak University of Florida
Raphael T. Haftka
Raphael T. Haftka University of Florida
Daniel J. Inman
Daniel J. Inman University of Michigan–Ann Arbor
Alper Erturk
Alper Erturk Georgia Institute of Technology
Toshikazu Nishida
Toshikazu Nishida University of Florida

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