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Full-Text Articles in Engineering
Design Of An Automatic Wood Trimming Machine, Van Ho, Nicholas Maskal, Andrew Rutland
Design Of An Automatic Wood Trimming Machine, Van Ho, Nicholas Maskal, Andrew Rutland
Mechanical Engineering
This final design report, prepared for Sunrise Arts by the Cal Poly design team Mahogany Automation, details the year-long process in which the team of three engineering students designed and built an automated wooden -plank edge trimming machine that incorporates anti-jamming and continuous loading features. The team has examined current woodworking machines and features available on the industrial and commercial market, and used these as guides along with device requirements set by the project sponsor, Bruce Palmer. The focus has been on designing the simplest and most cost effective device that allows operators to make production runs of wooden slats …
Automated Foosball Table Year 1: Final Project Report, Juan David Gutierrez-Franco, John Inlow, Jesse Graham, Larry Huang
Automated Foosball Table Year 1: Final Project Report, Juan David Gutierrez-Franco, John Inlow, Jesse Graham, Larry Huang
Mechanical Engineering
This project is a first iteration of an automated foosball table designed and created using servomotors provided by Yaskawa to create an interactive tradeshow display where guests can play against the algorithms developed in the PLC (programmable logic controller) controlling the servomotors. There will be a second iteration of the project done by a different team directly following this one. The motion components were selected with the intent to be able to surpass the reaction times and speeds of expert human players. There are a total of eight servomotors, four controlling linear actuators for translation of rods, and four controlling …
Application Of Machine Learning And Parametric Nurbs Geometry To Mode Shape Identification, Robert Mceuen Porter
Application Of Machine Learning And Parametric Nurbs Geometry To Mode Shape Identification, Robert Mceuen Porter
Theses and Dissertations
In any design, the dynamic characteristics of a part are dependent on its geometric and material properties. Identifying vibrational mode shapes within an iterative design process becomes difficult and time consuming due to frequently changing part definition. Although research has been done to improve the process, visual inspection of analysis results is still the current means of identifying each vibrational mode determined by a modal analysis. This research investigates the automation of the mode shape identification process through the use of parametric geometry and machine learning.In the developed method, displacement results from finite element modal analysis are used to create …