SBIR/STTR Research Award

OPTIMAL TOLERANCING: THE LINK BETWEEN DESIGN AND MANUFACTURING PRODUCTIVITY

Award identifier 73189630ea03165662ad5950a1e7d9fdf2fcf008c7f8f0d410c075b797e5a68fAwarding agency National Science Foundation

Award amount

$300,000

Program and phase

SBIR · Phase II

Award year

1995

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Variation Systems Analysis
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

A COMPUTATIONAL DESIGN TOOL WHICH ALLOWS FOR OPTIMAL TOLERANCE ALLOCATION FOR MECHANICAL AND ELECTRICAL COMPONENTS IS BEING INVESTIGATED. THE APPROACH IS TO COUPLE A NONTRADITIONAL OPTIMIZATION METHOD WITH A MONTE CARLO-BASED TOLERANCE ANALYSIS CODE. THE ABILITY TO ALLOCATE TOLERANCES IN AN OPTIMAL FASHION ALLOWS AN INSTALLED CAPITAL BASE TO BE UTILIZED IN THE MOST PRODUCTIVE FASHION. APPLICATION OF THE TECHNIQUE HAS A DRAMATIC IMPACT ON REDUCING MANUFACTURING COST AND PRODUCT CYCLE TIMES AS WELL AS INCREASING PRODUCTIVITY, QUALITY, AND CUSTOMER SATISFACTION. CURRENT TOLERANCE ANALYSIS SOFTWARE USED IN INDUSTRY DOES NOT PROVIDE THE ABILITY TO ALLOCATE TOLERANCES IN AN OPTIMAL FASHION. TRADITIONAL NONLINEAR PROGRAMMING METHOS ARE NOT ROBUST ENOUGH TO SOLVE THE COMPLEX PROBLEM RESULTING FROM THE CONSIDERATION OF A REAL COMPONENT OR ASSEMBLY. THE COMBINATION OF THE GENERIC ALGORITHM WITH A TOLERANCE ANALYSIS PACKAGE OFFERS AN ATTRACTIVE ALTERNATIVE WHICH RUNS EFFICIENTLY ON A PARALLEL OR DISTRIBUTED COMPUTING NETWORK. CONSIDERATION IS BEING PLACED ON DISCRETE TOLERANCE LIMIT OPTIMIZATION.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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