1 / 12

KE22 Final Year Project

KE22 Final Year Project. Modeling and Simulation of Milling Forces SIMTech Project. Ryan Soon, Henry Woo, Yong Boon April 9, 2011 Confidential – Internal Only. Background and Objective. Knowledge Engineering. SIMTech as a company

velika
Download Presentation

KE22 Final Year Project

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. KE22 Final Year Project Modeling and Simulation of Milling Forces SIMTech Project Ryan Soon, Henry Woo, Yong Boon April 9, 2011 Confidential – Internal Only

  2. Background and Objective Knowledge Engineering • SIMTech as a company • Develops high value manufacturing technology and human capital • Enhance competitiveness of Singapore manufacturing industry • Milling process • One of the many manufacturing processes research upon Students Research Industry Singapore Institute of Manufacturing Technology (SIMTech)

  3. Introduction to Milling • A common machining process used in material manufacturing • Customized solid material can be designed and created • Consist of a milling machine, workpiece, fixture, and cutter • Can be manually operated, mechanically automated or digitally automated via Computer Numerical Control (CNC) • Scope is limited to CNC type of milling machine and its processes

  4. Concept Map

  5. Problems Encountered During Milling Process

  6. Current Milling Process

  7. Target Goal for Milling Company

  8. Milling Process Setup An Intelligent Tool Wear and Failure Prognostic System Sensor Setup Data Acquisition Tool Wear Measurement Sensory Data Store Milling Process Pre-Processing and Feature Selection KE Models and Accuracy Evaluation Knowledge Base GUI Feedback Reduce Downtime Improved Utilization

  9. Project Scope and Objectives KE Techniques Under Investigation

  10. The End Q&A

  11. BACKUP

  12. INITIAL KE TECHNIQUES EVALUATION Neural Network No model required () Hard to extract the rules () Fuzzy Logic Tolerance imprecision () Membership/Rule defined () Genetic Algorithm Fitness Functions Unclear () Heuristics Search Model Required () Fuzzy Neural No model required () Rule Extraction () Case-based Reasoning Cases Available () Huge Case-Bases System () Data Mining Data Available () Rule Based Domain Rule available ()

More Related