FR3103046B1 - METHOD FOR DETERMINING A CHAIN OF DIMENSIONAL TOLERANCES - Google Patents

METHOD FOR DETERMINING A CHAIN OF DIMENSIONAL TOLERANCES Download PDF

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Publication number
FR3103046B1
FR3103046B1 FR1912668A FR1912668A FR3103046B1 FR 3103046 B1 FR3103046 B1 FR 3103046B1 FR 1912668 A FR1912668 A FR 1912668A FR 1912668 A FR1912668 A FR 1912668A FR 3103046 B1 FR3103046 B1 FR 3103046B1
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tolerance
assembly
type
function
quantities
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French (fr)
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FR3103046A1 (en
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Julien Martin
Ambre Diet
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Airbus Operations SAS
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Airbus Operations SAS
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64F—GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT; DESIGNING, MANUFACTURING, ASSEMBLING, CLEANING, MAINTAINING OR REPAIRING AIRCRAFT, NOT OTHERWISE PROVIDED FOR; HANDLING, TRANSPORTING, TESTING OR INSPECTING AIRCRAFT COMPONENTS, NOT OTHERWISE PROVIDED FOR
    • B64F5/00—Designing, manufacturing, assembling, cleaning, maintaining or repairing aircraft, not otherwise provided for; Handling, transporting, testing or inspecting aircraft components, not otherwise provided for
    • B64F5/10—Manufacturing or assembling aircraft, e.g. jigs therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
    • G07C3/14—Quality control systems
    • G07C3/146—Quality control systems during manufacturing process
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Manufacturing & Machinery (AREA)
  • Theoretical Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Mathematical Physics (AREA)
  • Mathematical Optimization (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Algebra (AREA)
  • Evolutionary Biology (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Transportation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
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  • Debugging And Monitoring (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

L’invention propose un système et un procédé de détermination rapide et robuste d’une chaine de tolérances dimensionnelles représentant un bon compromis entre une approche pessimiste des assemblages de type pire cas et une approche optimiste de type statistique pur tout en présentant des calculs très simples à réaliser et à implémenter. Ledit système comporte un processeur (5) configuré pour :-définir une première tolérance d’assemblage (WC(Y)), dite de type « pire cas » en fonction des grandeurs de tolérance d’un ensemble de maillons correspondant audit ensemble d’éléments,-définir une deuxième tolérance d’assemblage (RSS(Y)), dite de type « statistique pur » en fonction desdites grandeurs de tolérance, -déterminer un indicateur de disproportion (D) desdites grandeurs de tolérance en fonction de ladite première tolérance d’assemblage, et-déterminer une tolérance d’assemblage optimale (ASCR(Y)) en corrigeant ladite deuxième tolérance d’assemblage au moyen dudit indicateur de disproportion. Fig. 1The invention proposes a system and a method for rapid and robust determination of a chain of dimensional tolerances representing a good compromise between a pessimistic approach to worst-case type assemblies and an optimistic approach of pure statistical type while presenting very simple calculations. to realize and implement. Said system comprises a processor (5) configured to: define a first assembly tolerance (WC(Y)), known as the “worst case” type as a function of the tolerance quantities of a set of links corresponding to said set of elements, -define a second assembly tolerance (RSS(Y)), called "pure statistical" type as a function of said tolerance quantities, -determine a disproportion indicator (D) of said tolerance quantities as a function of said first tolerance assembly, and-determine an optimal assembly tolerance (ASCR(Y)) by correcting said second assembly tolerance by means of said disproportion indicator. Fig. 1

FR1912668A 2019-11-13 2019-11-13 METHOD FOR DETERMINING A CHAIN OF DIMENSIONAL TOLERANCES Active FR3103046B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
FR1912668A FR3103046B1 (en) 2019-11-13 2019-11-13 METHOD FOR DETERMINING A CHAIN OF DIMENSIONAL TOLERANCES

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1912668 2019-11-13
FR1912668A FR3103046B1 (en) 2019-11-13 2019-11-13 METHOD FOR DETERMINING A CHAIN OF DIMENSIONAL TOLERANCES

Publications (2)

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FR3103046A1 FR3103046A1 (en) 2021-05-14
FR3103046B1 true FR3103046B1 (en) 2024-02-23

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FR1912668A Active FR3103046B1 (en) 2019-11-13 2019-11-13 METHOD FOR DETERMINING A CHAIN OF DIMENSIONAL TOLERANCES

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Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1997001802A1 (en) * 1995-06-28 1997-01-16 The Boeing Company Statistical tolerancing

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