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Acoustics, Dynamics, and Controls

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Articles 91 - 93 of 93

Full-Text Articles in Computer-Aided Engineering and Design

Automating The Fret Slotting Process Using A Plc Controlled 1.5 Axis Mill, James Stratton Jul 2011

Automating The Fret Slotting Process Using A Plc Controlled 1.5 Axis Mill, James Stratton

Purdue Polytechnic Masters Theses

Stratton, James A. M.S., Purdue University, August 2011. Automating the Fret Slotting Process Using a PLC Controlled 1.5 Axis CNC Mill. Major Professor: Richard Mark French.

Can automation assist small job shops and hobbyists in the production of stringed instruments? This research set out to answer the question using a quantitative approach to determine if an economical CNC machine could be produced in such a fashion as to seamlessly join the workshop as an affordable, yet precise instrument to aid in the production of stringed instruments. The key was to incorporate common industrial automation equipment into the operation of the …


Final Design Report: Vibration Table For Cvbt- Vt4 Design Team, Thomas Bevan, Matthew Laurino Jun 2010

Final Design Report: Vibration Table For Cvbt- Vt4 Design Team, Thomas Bevan, Matthew Laurino

Mechanical Engineering

CVBT (Center for Vocational Building Technology) teaches villagers in Northeastern Thailand how to make various concrete products. Many of these products require the use of a vibration table in order to remove air and water trapped within the concrete. Removal of these voids improves the outside surface of the molded concrete, and also allows the use of a lower water to cement ratio, allowing a much stronger finished product. The currently used vibration table (VT3) has several disadvantages associated with it, which the new table (VT4) eliminates. Compared with the VT3, the VT4 has a more rigid tabletop and improved …


Design Of Fuzzy Logic Controllers For Optimal Performance, Mohamed Trabia May 2001

Design Of Fuzzy Logic Controllers For Optimal Performance, Mohamed Trabia

Mechanical Engineering Faculty Presentations

While fuzzy logic controllers are generally robust, the performance of a system whose behavior is not well understood, or that has a large number of coupled inputs and outputs, may be less than optimal. In this paper, nonlinear programming techniques are used to improve the performance of a fuzzy logic controller for navigating an autonomous vehicle.