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Abstract

Torsion Mobile App for Engineering Education Using a High Performance Computer (HPC) ClusterEngineering students are rapidly expecting learning tools to be delivered on their tablets andsmart phones, including simulation tools for basic courses such as solid and fluid mechanics. Toaddress this issue, a basic torsional stress simulation tool for mobile devices was developed andimplemented into a traditional first year solid mechanics class (Mechanics of Materials). Theapp, torsionHPC, allows students to determine stresses for a variety of common torsional shaftcross sections. The app was used in class for discussion and homework assignments. The paperpresents how the app was developed and used. Student comments and response is also includedin the paperRunning engineering simulations using FEA on a mobile device was investigated forresponsiveness and speed. Users expect quick response for tablets and smart phones, but theyhave relatively slow CPUs when compared to desktop computers. The solution was to do allnumerical calculations at a remote server or server cluster. This allowed the actual the FEM codeto be compiled for a high-end server with multiple cores. Still, a number of innovative methodshad to be developed to ensure multiple users can access the servers at one time. Currently, a250,000 DOF linear torsional problem can be solved in less than 12 seconds, which includesnetwork communication and solving time.The paper also discusses developing engineering mobile apps as a non-computer scientist. Thework determined that Abobe AIR development framework allows relatively easy development ofweb and mobile apps when compared to native programming or HTML5 with JavaScript. AIRalso avoids programming the same app three times (web browsers, Android and iOS).Programming with AIR framework requires using ActionScript which is similar to JavaScript orC#, and is reasonably easy to learn. Unlike traditional desktop (and laptop) computers, mobiledevices generally must download software through specific web sites such as Apple App Storeand Google Play Store. The paper explores the problems with preparing academic apps fordelivery through the Play Store for Android devices and the App Store for iOS devices.

Details

Title
Torsion Mobile App for Engineering Education Using a High Performance Computer (HPC) Cluster
Source details
Conference: 2015 ASEE Annual Conference & Exposition; Location: Seattle, Washington; Start Date: June 14, 2015; End Date: June 17, 2015
Pages
26.1587.1-26.1587.14
Publication year
2015
Publication date
Jun 14, 2015
Publisher
American Society for Engineering Education-ASEE
Place of publication
Atlanta
Country of publication
United States
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
Publication history
 
 
Online publication date
2015-07-06
Publication history
 
 
   First posting date
06 Jul 2015
ProQuest document ID
2317752919
Document URL
https://www.proquest.com/conference-papers-proceedings/torsion-mobile-app-engineering-education-using/docview/2317752919/se-2?accountid=208611
Copyright
© 2015. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://peer.asee.org/about .
Last updated
2025-11-15
Database
ProQuest One Academic