6 research outputs found

    Tolerance analysis β€” Form defects modeling and simulation by modal decomposition and optimization

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    Tolerance analysis aims on checking whether specified tolerances enable functional and assembly requirements. The tolerance analysis approaches discussed in literature are generally assumed without the consideration of parts’ form defects. This paper presents a new model to consider the form defects in an assembly simulation. A Metric Modal Decomposition (MMD) method is henceforth, developed to model the form defects of various parts in a mechanism. The assemblies including form defects are further assessed using mathematical optimization. The optimization involves two models of surfaces: real model and difference surface-base method, and introduces the concept of signed distance. The optimization algorithms are then compared in terms of time consumption and accuracy. To illustrate the methods and their respective applications, a simplified over-constrained industrial mechanism in three dimensions is also used as a case study

    Probabilistic-based approach using Kernel Density Estimation for gap modeling in a statistical tolerance analysis

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    The statistical tolerance analysis has become a key element used in the design stage to reduce the manufacturing cost, the rejection rate and to have high quality products. One of the frequently used methods is the Monte Carlo simulation, employed to compute the non-conformity rate due to its efficiency in handling the tolerance analysis of over-constrained mechanical systems. However, this simulation technique requires excessive numerical efforts. The goal of this paper is to improve this method by proposing a probabilistic model of gaps in fixed and sliding contacts and involved in the tolerance analysis of an assembly. The probabilistic model is carried out on the clearance components of the sliding and fixed contacts for their assembly feasibility considering all the imperfections on the surfaces. The kernel density estimation method is used to deal with the probabilistic model. The proposed method is applied to an over-constrained mechanical system and compared to the classical method regarding their computation time

    ВысокиС Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² соврСмСнной Π½Π°ΡƒΠΊΠ΅ ΠΈ Ρ‚Π΅Ρ…Π½ΠΈΠΊΠ΅ (ВВБНВ-2017): сборник Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Ρ‚Ρ€ΡƒΠ΄ΠΎΠ² VI ΠœΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½ΠΎΠΉ Π½Π°ΡƒΡ‡Π½ΠΎ-тСхничСской ΠΊΠΎΠ½Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΈ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΡƒΡ‡Π΅Π½Ρ‹Ρ…, аспирантов ΠΈ студСнтов, Π³. Вомск, 27–29 ноября 2017 Π³.

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    Π’ сборникС прСдставлСны ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΏΠΎ ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΌ направлСниям исслСдований: Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ² Π½ΠΎΠ²Ρ‹Ρ… ΠΏΠΎΠΊΠΎΠ»Π΅Π½ΠΈΠΉ ΠΈ Π½Π°Π½ΠΎΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ²; оптичСскиС Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ; органичСская химия ΠΈ Π±ΠΈΠΎΡ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ; Ρ€Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ΅ использованиС ΠΌΠΈΠ½Π΅Ρ€Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΈ Π²ΠΎΠ΄Π½Ρ‹Ρ… рСсурсов; ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ надСТности ΠΌΠ°ΡˆΠΈΠ½ΠΎΡΡ‚Ρ€ΠΎΠ΅Π½ΠΈΡ ΠΈ ΠΌΠ°ΡˆΠΈΠ½ΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ; ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Ρ„ΠΈΠ·ΠΈΠΊΠΎ-химичСских процСссов Π² соврСмСнных тСхнологиях. ЦСлью ΠΊΠΎΠ½Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠΈ ВВБНВ-2017 являСтся Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ ΠΊΠΎΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΈ российских ΠΈ Π·Π°Ρ€ΡƒΠ±Π΅ΠΆΠ½Ρ‹Ρ… ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΡƒΡ‡Π΅Π½Ρ‹Ρ… ΠΈ студСнтов Π² ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… исслСдований Π² области соврСмСнных высоких Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ. Π‘Π±ΠΎΡ€Π½ΠΈΠΊ прСдставляСт интСрСс для ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΡƒΡ‡Π΅Π½Ρ‹Ρ… - Ρ„ΠΈΠ·ΠΈΠΊΠΎΠ² ΠΈ Ρ…ΠΈΠΌΠΈΠΊΠΎΠ², ΠΈΠ½Ρ‚Π΅Ρ€Π΅ΡΡƒΡŽΡ‰ΠΈΡ…ΡΡ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ матСриаловСдСния, Π½ΠΎΠ²Ρ‹Ρ… ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠ² ΠΈ Ρ€Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ использования ΠΏΡ€ΠΈΡ€ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΡ‹Ρ€ΡŒΡ
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