Dr. Evgueni V. Bordatchev Profile

Dr. Evgueni V. Bordatchev

Senior Research Officer at National Research Council Canada

SPIE Involvement:

Conference Program Committee | Author

Area of Expertise:

micromachining , micro-optics , laser polishing/micromachining/texturing/structuring

Profile Summary

Evgueni BORDATCHEV is a Senior Research Officer at the National Research Council of Canada, in London, Ontario. He received Master, PhD, and Doctor of Technical Science degrees in electro-mechanical engineering from Don State Technical University, Rostov-on-Don, Russia, in 1982, 1989 and 1996, respectively. He was a youngest Doctor of Technical Science in Russian Federation in 1996. He was a visiting professor at Concordia University (Montreal, Canada) in 1990-1991, Radom Technical University (Radom, Poland) in 1995-1997. Since 1998, Dr. Bordatchev is with National Research Council gaining his national and international recognition as an expert in laser-based high-precision fabrication, micromachining, surface texturing and polishing of miniature functional components, micro-opto-electro-mechanical systems/sensors, and micro-moulds/dies. He has authored/co-authored over 169 papers in refereed journals and conference proceedings and holds 7 patents and patent applications. Dr. Bordatchev is an Adjunct Professor at the Western University, London, Ontario, Canada since year 2000.

Publications (15)

PROCEEDINGS ARTICLE | August 29, 2017

Study on the effect of laser pulse energy on the geometric quality of the laser machined parts

Proc. SPIE. 10313, Opto-Canada: SPIE Regional Meeting on Optoelectronics, Photonics, and Imaging

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PROCEEDINGS ARTICLE | February 16, 2017

Multi-layered fabrication of large area PDMS flexible optical light guide sheets

Proc. SPIE. 10101, Organic Photonic Materials and Devices XIX

KEYWORDS: Optical components, Lithography, Refractive index, Light sources, Light emitting diodes, Waveguides, Cladding, Polymers, Buildings, Refraction, Light sources and illumination, Transmittance, Micromachining, Molybdenum, Prototyping, Fiber optic illuminators

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PROCEEDINGS ARTICLE | March 14, 2016

Controlled guidance of light through a flexible optical waveguide sheet

Proc. SPIE. 9759, Advanced Fabrication Technologies for Micro/Nano Optics and Photonics IX

KEYWORDS: Zemax, Refractive index, Prisms, Light sources, Solar concentrators, Waveguides, Polymers, Solar cells, Wave propagation, Diffusers, Microlens, Geometrical optics, Windows, Polymer multimode waveguides

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PROCEEDINGS ARTICLE | March 14, 2016

Fabrication of large area flexible PDMS waveguide sheets

Proc. SPIE. 9759, Advanced Fabrication Technologies for Micro/Nano Optics and Photonics IX

KEYWORDS: Fabrication, Lithography, Refractive index, Solar concentrators, Polymethylmethacrylate, Waveguides, Cladding, Polymers, Optical fabrication, Refraction, Diffusers, Micromachining, Prototyping, Nano optics, Fiber optic illuminators

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PROCEEDINGS ARTICLE | March 7, 2014

Enhanced transmission and beam confinement using bullseye plasmonic lenses at THz frequencies

Proc. SPIE. 8985, Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications VII

KEYWORDS: Plasmonics, Gaussian beams, Lenses, Metals, Interfaces, Lens design, Terahertz radiation, Micromachining, Laser cutting, Micro cutting

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SPIE Journal Paper | April 25, 2013

Micromilled optical elements for edge-lit illumination panels

Ronny, Rahima Afrose , Knopf, George , Bordatchev, Evgueni , Nikumb, Suwas

JM3 Vol. 12 Issue 02

KEYWORDS: Molybdenum, Optical components, Micro cutting, Light emitting diodes, Light sources, Waveguides, Light sources and illumination, Light, Polymethylmethacrylate, Prototyping

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PROCEEDINGS ARTICLE | February 21, 2012

Optical simulation and fabrication of periodic triangular gratings for the enhancement of photovoltaic solar panels

Proc. SPIE. 8256, Physics, Simulation, and Photonic Engineering of Photovoltaic Devices

KEYWORDS: Optical components, Photovoltaics, Solar energy, Polymethylmethacrylate, Glasses, Solar cells, Computer simulations, Optical simulations, Prototyping, Absorption

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PROCEEDINGS ARTICLE | February 7, 2012

Micromachined edge illuminated optically transparent automotive light guide panels

Proc. SPIE. 8248, Micromachining and Microfabrication Process Technology XVII

KEYWORDS: Optical components, Light sources, Light emitting diodes, Polymethylmethacrylate, Waveguides, LCDs, Light sources and illumination, Transmittance, Micro cutting, Light

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PROCEEDINGS ARTICLE | February 7, 2012

Impact of initial surface parameters on the final quality of laser micro-polished surfaces

Proc. SPIE. 8248, Micromachining and Microfabrication Process Technology XVII

KEYWORDS: Polishing, Spatial frequencies, Laser energy, Laser applications, Nd:YAG lasers, Surface roughness, Micro cutting, Laser optics, Radium, Surface finishing

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SPIE Journal Paper | April 1, 2005

Electro-thermally driven microgrippers for micro-electro-mechanical systems applications

Bordatchev, Evgueni , Nikumb, Suwas

JM3 Vol. 4 Issue 02

KEYWORDS: Prototyping, Microactuators, Laser processing, Microfabrication, Fabrication, Micromachining, Chemical elements, Actuators, Control systems, Pulsed laser operation

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PROCEEDINGS ARTICLE | December 9, 2004

Laser micromachining of the miniature functional mechanisms

Proc. SPIE. 5578, Photonics North 2004: Photonic Applications in Astronomy, Biomedicine, Imaging, Materials Processing, and Education

KEYWORDS: Laser processing, Materials processing, Laser applications, Control systems, Microactuators, Micromachining, Laser optics, Pulsed laser operation, Prototyping, Laser systems engineering

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PROCEEDINGS ARTICLE | December 27, 2001

Neural network modeling of the laser material-removal process

Proc. SPIE. 4563, Sensors and Controls for Intelligent Manufacturing II

KEYWORDS: Data modeling, Laser processing, Materials processing, Manufacturing, Neural networks, Micromachining, Pulsed laser operation, Stochastic processes, Process modeling, Neurons

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PROCEEDINGS ARTICLE | February 2, 2001

Experimental analysis and modeling of the dynamic performance of machine tool spindle-bearing systems

Proc. SPIE. 4191, Sensors and Controls for Intelligent Manufacturing

KEYWORDS: Mathematical modeling, Modeling, Spindles, Data modeling, Sensors, Matrices, Analytical research, Dynamical systems, Performance modeling, Systems modeling

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PROCEEDINGS ARTICLE | November 24, 1999

Machining process as a subject of automatic control

Proc. SPIE. 3832, Sensors and Controls for Intelligent Machining and Manufacturing Mechatronics

KEYWORDS: Mathematical modeling, Modeling, Spindles, Diagnostics, Control systems, Kinematics, Process control, Automatic control, Control systems design, Process modeling

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PROCEEDINGS ARTICLE | December 17, 1998

Modeling and parameter identification of impulse response matrix of mechanical systems

Proc. SPIE. 3518, Sensors and Controls for Intelligent Machining, Agile Manufacturing, and Mechatronics

KEYWORDS: Mathematical modeling, Modeling, Spindles, Data modeling, Matrices, Manufacturing, Transform theory, Dynamical systems, Adaptive control, Systems modeling

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A method for studying the problem of modeling, identification and analysis of mechanical system dynamic characteristic in view of the impulse response matrix for the purpose of adaptive control is developed here. Two types of the impulse response matrices are considered: (i) on displacement, which describes the space-coupled relationship between vectors of the force and simulated displacement, which describes the space-coupled relationship between vectors of the force and simulated displacement and (ii) on acceleration, which also describes the space-coupled relationship between the vectors of the force and measured acceleration. The idea of identification consists of: (a) the practical obtaining of the impulse response matrix on acceleration by 'impact-response' technique; (b) the modeling and parameter estimation of the each impulse response function on acceleration through the fundamental representation of the impulse response function on displacement as a sum of the damped sine curves applying linear and non-linear least square methods; (c) simulating the impulse provides the additional possibility to calculate masses, damper and spring constants. The damped natural frequencies are used as a priori information and are found through the standard FFT analysis. The problem of double numerical integration is avoided by taking two derivations of the fundamental dynamic model of a mechanical system as linear combination of the mass-damper-spring subsystems. The identified impulse response matrix on displacement represents the dynamic properties of the mechanical system. From the engineering point of view, this matrix can be also understood as a 'dynamic passport' of the mechanical system and can be used for dynamic certification and analysis of the dynamic quality. In addition, the suggested approach mathematically reproduces amplitude-frequency response matrix in a low-frequency band and on zero frequency. This allows the possibility of determining the matrix of the static stiffness due to dynamic testing over the time of 10- 15 minutes. As a practical example, the dynamic properties in view of the impulse and frequency response matrices of the lathe spindle are obtained, identified and investigated. The developed approach for modeling and parameter identification appears promising for a wide range o industrial applications; for example, rotary systems.

Showing 5 of 15 publications

Conference Committee Involvement (1)

Sensors and Controls for Intelligent Manufacturing III

29 October 2003 | Providence, RI, United States

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