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Developing Custom Modeling Tools at GM with embedded Validation

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Developing Custom Modeling Tools at GM with embedded Validation James A. Bullard General Motors * General Motors Validation Facts Purpose Overview of GM Development ... – PowerPoint PPT presentation

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Title: Developing Custom Modeling Tools at GM with embedded Validation


1
Developing Custom Modeling Tools at GM with
embedded Validation
James A. Bullard General Motors
2
ABSTRACT
  • Automotive Design and Engineering at GM are
    constantly looking for technology to automate
    processes. This search for automation
    technology provides many unique requirements that
    drive the development of custom CAD Modeling
    tools. To make sure that the return on the
    investment is achieved GM is embedding validation
    tools to assure quality of Math as well as
    quality of process execution. This paper will
    describe projects that have developed custom
    Modeling Templates with Validation agents built
    in. These validation agents will not only
    validate quality of the math but also the overall
    process execution or usage of the templates.

3
General Motors Validation Facts
Check-Mate as globally agreed upon CAD validation
tool Successfully implemented Check-Mate at all
Engineering Centers Globally Enforced 53
Check-Mate Checkers as part of GM workflow
Check-Mate used as CAD Data Assessment Tool More
than 200,000 NX parts assessed weekly using
check-mate batch mode Significant improvement in
Math data quality
4
Purpose
  • Overview of GM Development Project in 2008 of
    Math Data Quality Validation in Product Templates
  • Articulate the importance of Math Data Quality
    and particularly as it applies to Re-use geometry
    tools as Corporate Assets
  • Describe a Validation framework for Templates
    that incorporates Requirements Driven Design
    Validation (RDDV) embedded in Product Templates
  • Highlight Challenges to further develop this
    strategy and direction

5
Embedded Validation Tool for Global Template
Based Component Project
  • Objectives
  • Assess completed templates
  • Develop Bill of Requirements/Validation rule set
  • Define framework/architecture for template
    validation and enforcement strategy (must be
    flexible in order to comprehend future
    requirements)
  • Develop 1 Profile and 10 Requirements Driven
    Design Validation (RDDV) checks for each template
  • Develop requirements list for embedded RDDV
    checkers for new templates

6
Math Data Cycle
  • CheckMate Profiles and Checks need to address all
    areas of the cycle
  • Math Data Producers
  • Math Data Consumers
  • Re-Use of Math Data
  • CheckMate Profiles and Checks need to be aligned
    with the requirements of these areas
  • CheckMate Profiles and Checks also used to
    improve Math Capability (CAD Methods)

Templates turn Data Producers into Data Consumers
7
Hierarchy of Math Quality
Check-Mate Capability
Design Function Checks
Fabrication Process Checks
Modeling Best Practice Checks
Geometry Integrity Checks
File Organization Checks
Scope
8
Validated and Managed Templated Math Data is an
Investment
  • Re-use is a high priority in any corporate
    strategy
  • Validated Templates come with pre-loaded Data
    Consumer value
  • CAE data material properties, mid-surface
    features, etc
  • CAM data holes, drills, etc
  • PMI embedded tolerances, VSA modeling data,
    etc
  • Templates are investments that can pay dividends
    when validated and managed

9
Validation Framework Project Prototype Targeted
Template Part
Exhaust Manifold GM Powertrain
10
Validation Framework - Dimensions of Validation
  • Validation Of Templates
  • Math Data Quality (MDQ)
  • Component Engineering Requirements
  • Fabrication Requirements
  • Systems Of Templates
  • Managed Interfaces
  • System Level Geometry Requirements

Dimensions of Validation Siemens Toolset Siemens Toolset Siemens Toolset
CheckMate RDDV Core NX
Math Quality p
Engineering Requirements p p p
Fabrication Requirements p p p
System Requirements p p p
Toolsets need to work together and know about
each other They should be able to communicate to
each other
11
Validation Framework Prototype Validation
Requirements
  • Dimensions of Validation for Prototype
  • Math Data Quality
  • File Organization GQS Profile (CM)
  • Vehicle Partition code (VPPS)
  • Examine Geometry
  • Component Engineering Requirements
  • Sketch Dimensions Port Opening (RDDV)
  • Minimum Wall Thickness (RDDV)
  • Minimum Blend Radii (RDDV)
  • Fabrication Requirements
  • Embedded tolerances
  • System Requirements
  • Managed interfaces
  • Port Surface Datum Planes (CM)
  • Port Datum Axis (CM)

12
Template Validation Framework
  • The Framework should allow for dynamic/flexible
    profile configuration to support multiple
    validation profiles or levels based on template
    purpose discipline (ie., single component vs.
    sub assembly, BIW vs. PT)

Release Part Rqmts
Engineering Rqmts
Template Validation Profile
Test Rqmts
Mfg Process Rqmts
System Rqmts
Org Rqmts
13
Validation Framework Prototype Requirements
Document
  • Requirements Validation
  • Future direction to link to Teamcenter System
    Engineering (TcSE)
  • Prototype using Excel Spreadsheet

14
Future Challenges as Strategy Evolves
  • Template Structures
  • Many ways to organize template structure which
    drive too much variability into structure and
    thus harder to devise a validation strategy
  • Management of Templates and Requirements Document
  • RDDV needs enhancements
  • Recognize entities and features
  • RDDV checks can invoke CheckMate Checkers
  • Enforcement of RDDV checks
  • CheckMate needs more sophisticated profile
    capabilities
  • Profiles execute different based on decisions and
    rules
  • Profiles and checkers know about RDDV checks

15
Thank You!
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