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The QuenchMiner ™ Expert System for Quenching and Distortion Control

The QuenchMiner ™ Expert System for Quenching and Distortion Control. Aparna S. Varde, Mohammed Maniruzzaman, Elke Rundensteiner and Richard D. Sisson Jr. Worcester Polytechnic Institute, Worcester, MA, USA. Introduction.

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The QuenchMiner ™ Expert System for Quenching and Distortion Control

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  1. The QuenchMiner™ Expert System for Quenching and Distortion Control Aparna S. Varde, Mohammed Maniruzzaman, Elke Rundensteiner and Richard D. Sisson Jr. Worcester Polytechnic Institute, Worcester, MA, USA

  2. Introduction • QuenchMiner™ : Started as Web-based tool for analyzing quenching experimental data • Data Mining features added: discovering interesting patterns in data sets to guide decisions • Enhanced into Expert System for Decision Support in Heat Treating Logo summarizing QuenchMiner™functions

  3. What is an Expert System • Computer program with knowledge of specialist • Does representation and reasoning using knowledge • Solves problems or gives advice to users Structure of an Expert System

  4. QuenchMiner™ for Decision Support • Tool to support or assist the users decisions in selecting quenchants, parts, conditions to achieve a desired output for quenching in the industry. Analyses user cases. • Goal: Estimate parameters of interest computationally • Desired Suspension of Part • Average Cooling Rate • Cooling Uniformity • Average Heat Transfer Coefficient • Residual Stress • Hardness • Distortion Tendency • Cracking Potential • Given: Quenching experimental input • Quenchant Information • Part Conditions • Manufacturing Details

  5. System Architecture • User interaction through Web • Data Mining to get knowledge from quenching data, build rules • Decision Making using Artificial Intelligence techniques e.g. Rule Interpreters Architecture of QuenchMiner™ Expert System

  6. QuenchMiner™ Demo • Demo available at, http://mpis.wpi.edu:9006/database http://mpis.wpi.edu:9006/database • Screendumps of demo shown here: • Menu Screen • Case Input Screen • Case Output Screen

  7. Methodology for Analysis • Identify causes (variables) of effects (parameters of interest) • Represent causal relationship by Fishbone (Ishikawa) diagrams Fishbone diagram for Cooling Rate

  8. Decision Making

  9. Application to Distortion Control • Distortion: One of the biggest problems in quenching. Part gets deformed in shape and / or size while being quenched. • QuenchMiner™ • estimates tendency for distortion in part given input conditions (computationally, without performing experiment) • identifies causes of distortion in given case by analysis • Thus assists users decisions to select conditions to minimize distortion • Example: Shown in Screen-dump

  10. Conclusions • QuenchMiner™ developed as an Expert System for Decision Support in Heat Treating • Analyzes cases in Quenching and Distortion Control • Uses Data Mining and Artificial Intelligence techniques • Only supports or assists users decisions • Demo available, System Ready for use • Ongoing research and user feedback will provide further improvements to QuenchMiner™.

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