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Dive into the research topics where Ronnie R. Fesperman is active.

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Featured researches published by Ronnie R. Fesperman.


Applied Physics Letters | 2003

High-pressure phase transformation of silicon nitride

John A. Patten; Ronnie R. Fesperman; Satya Kumar; Sam McSpadden; Jun Qu; Michael J. Lance; R. J. Nemanich; Jennifer J. Huening

We provide evidence for a high-pressure phase transformation (HPPT) in the ceramic material silicon nitride. This HPPT is inferred by a high-pressure diamond anvil cell, Raman spectroscopy, scanning/transmission electron microscopy, and optical and acoustic microscope inspection. In the case of silicon nitride, the HPPT involves a ductile or metallike behavior that is observed in severe deformation processes, such as nanoindentation and micromachining. This pressure-induced plasticity is believed to be similar to that found in silicon and germanium with its origin in the high-pressure metallic β-Sn phase formation.


MATERIALS PROCESSING AND DESIGN: Modeling, Simulation and Applications - NUMIFORM 2004 - Proceedings of the 8th International Conference on Numerical Methods in Industrial Forming Processes | 2004

Experimental and Numerical Investigation of Ductile Regime Machining of Silicon Nitride

Satya K. Ajjarapu; Ronnie R. Fesperman; John A. Patten; Harish P. Cherukuri

Recent research has shown that many semiconductor and ceramic materials can be machined in ductile fashion under very high pressures and at low depths of cut. In a previous study, the authors reported results from numerical simulations of orthogonal machining of Silicon Nitride using a pressure‐independent material model with von Mises yield criterion. Experimental evidence strongly suggests that the brittle‐to‐ductile transition of Silicon Nitride is pressure‐dependent. Specifically, experiments indicate that the ductile regime machining is possible when the hydrostatic pressure within the workpiece is of the same order of magnitude as the hardness. In the present work, the ductile behavior of Silicon Nitride is studied by carrying out single point diamond turning operation on Silicon Nitride samples at depths of cut ranging from 250nm to 10μm. Force and surface roughness data collected from machining tests are presented. Chip morphology is also investigated to determine the depth of cut at which brittle...


ASME 2009 Dynamic Systems and Control Conference | 2009

Mechatronics and Control of a Precision Motion Stage for Nano-Manufacturing

Shalom D. Ruben; Tsu-Chin Tsao; Robert J. Hocken; Ronnie R. Fesperman; Ozkan Ozturk; John Brien; Greg Caskey

High precision motion is critical in the semiconductor industry and as feature size continues to decrease, the need for higher precision increases. This paper presents the control system design and integration of a novel multi-degree of freedom precision stage for nano-manufacturing. It is composed of a 6 DOF wafer holder and a 3 DOF module holder. The modules can be chosen for a desired task, such as a nano-imprint lithography module. Capacitance gauges, interferometers, and photo detectors provide position feedback of the stage. Piezo-electric actuators and linear motors, that produce two orthogonal forces each, produce the desired output. Modeling of the coordinate transformation among the spaces of sensors, stage position, and actuators along with dynamic modeling of the stage is presented. Controller design, hardware, and software is described and results comparing simulation and implementation show a closed-loop positioning of less than 1 nm error in x and y and 0.01 arc seconds in θ z with a sensor noise level of less than 0.2 nm.Copyright


Key Engineering Materials | 2008

Engineering Nanotechnology: The Top Down Approach

Robert J. Hocken; Ronnie R. Fesperman; Jerald L. Overcash; Ozkan Ozturk; C. Stroup

Nanotechnology can be defined as “the study, development and processing of materials, devices, and systems in which structure on a dimension of less than 100 nm is essential to obtain the required functional performance.” There are currently two very different approaches to nanotechnology, the first and more classical approach is commonly called engineering nanotechnology. This approach involves using classical deterministic mechanical and electrical engineering principles to build structures with tolerances at levels approaching a nanometer. The other approach, sometimes called molecular nanotechnology, is concerned with self-assembled machines and the like and is far more speculative. At UNC Charlotte’s Center for Precision Metrology we have been working in engineering nanotechnology for more than a decade. We started with molecular manipulation with scanning probe microscopes in the late 1980s [1] and have continued to develop new measurement systems [2], nano-machining systems [3,4], and nano-positioning devices. One of the largest challenges is precision motion control of macroscopic stages. Currently we have three stages under development or modification. The first is the Sub Atomic Measuring Machine (SAMM) [5] which is being modified to provide picometer resolution; the second is the Multi-Scale Alignment and Positioning System (MAPS) initially to be used for nanoimprinting; the third is an Ultra-Precision Vacuum Stage [6], which is the subject of another paper in this conference. This paper will discuss the first two systems.


NIST Interagency/Internal Report (NISTIR) - 8036 | 2015

Measurement Science Needs for Real-time Control of Additive Manufacturing Powder Bed Fusion Processes

Mahesh Mani; Brandon M. Lane; Alkan Donmez; Shaw Feng; Shawn P. Moylan; Ronnie R. Fesperman


Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology | 2012

Multi-scale Alignment and Positioning System – MAPS

Ronnie R. Fesperman; Ozkan Ozturk; Robert J. Hocken; Shalom D. Ruben; Tsu-Chin Tsao; James Phipps; Tiffany Lemmons; John Brien; Greg Caskey


Cirp Journal of Manufacturing Science and Technology | 2015

Reconfigurable data driven virtual machine tool: Geometric error modeling and evaluation

Ronnie R. Fesperman; Shawn P. Moylan; Gregory W. Vogl; M. Alkan Donmez


Papers Presented at NAMRC 32 | 2004

Ductile regime machining of silicon nitride: A numerical study using Drucker-Prager material model

Satya K. Ajjarapu; Ronnie R. Fesperman; John A. Patten; Harish P. Cherukuri; Chris Brand


27th Annual Meeting of the American Society for Precision Engineering | 2012

A VIRTUAL MACHINE TOOL FOR THE EVALUATION OF STANDARDIZED 5-AXIS PERFORMANCE TESTS

Ronnie R. Fesperman; Shawn P. Moylan; M A. Donmez


25th ASPE Annual Meeting | 2010

Methods, Practices, and Standards for Evaluating On-Machine Touch Trigger Probing of Workpieces

Ronnie R. Fesperman; Shawn P. Moylan; M A. Donmez

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Shawn P. Moylan

National Institute of Standards and Technology

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John A. Patten

Western Michigan University

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Ozkan Ozturk

University of North Carolina at Charlotte

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Robert J. Hocken

University of North Carolina at Charlotte

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Greg Caskey

University of North Carolina at Charlotte

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Harish P. Cherukuri

University of North Carolina at Charlotte

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John Brien

University of North Carolina at Charlotte

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Satya K. Ajjarapu

University of North Carolina at Charlotte

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Shalom D. Ruben

University of Colorado Boulder

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Tsu-Chin Tsao

University of California

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