49 research outputs found

    FRF based substructuring and decoupling of substructures

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    This study considers FRF (frequency response function) based substructuring and decoupling of substructures for the dynamic analysis of complicated huge structures utilizing compatibility conditions between adjacent substructures. This work includes: 1) the derivation of updated FRF matrix for dynamic system subjected to frequency or time dependent constraints in the frequency-domain, 2) the synthesis and decoupling of subsystems based on the dual domain approach using compatibility conditions between adjacent subsystems, 3) the evaluation of the validity of the proposed methods through numerical applications. It is expected that the proposed methods will be utilized as the basic formulation in investigating the dynamic characteristics of partitioned or synthesized system

    FRF based substructuring and decoupling of substructures

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    This study considers FRF (frequency response function) based substructuring and decoupling of substructures for the dynamic analysis of complicated huge structures utilizing compatibility conditions between adjacent substructures. This work includes: 1) the derivation of updated FRF matrix for dynamic system subjected to frequency or time dependent constraints in the frequency-domain, 2) the synthesis and decoupling of subsystems based on the dual domain approach using compatibility conditions between adjacent subsystems, 3) the evaluation of the validity of the proposed methods through numerical applications. It is expected that the proposed methods will be utilized as the basic formulation in investigating the dynamic characteristics of partitioned or synthesized system

    Influence of Interfacial Dynamics and Multi-Dimensional Coupling from Isolator Brackets on Exhaust Isolation System Performance

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    An automotive exhaust structure is a primary structure-borne noise path by which vibratory forces from the powertrain are transmitted to the vehicle body. The exhaust structure is typically connected to the vehicle body through a system of brackets containing elastomeric isolators, serving as the principal means of vibration isolation. In exhaust isolator system design, the isolator brackets are often modeled as simple springs. This approach neglects the effects of interfacial dynamics and multi-dimensional coupling, which result from distributed mass and stiffness throughout the isolator brackets. Accordingly, the objective of this research is to better understand how the interfacial dynamics and multi-dimensional coupling of the isolator brackets affect the exhaust isolation system performance in the 0-100 Hz range. Therefore, models with a proper representation of these interfacial dynamics and multi-dimensional coupling are created using finite element analysis (FEA) and then parameterized into multi-dimensional lumped parameter models through correlation of static and modal testing on the components and assembled system. The dynamic responses from the models for the exhaust structure and isolator brackets are then combined into a system-level model through a frequency-response-function-based substructuring method. A design study is conducted on the system-level model by systematically changing component parameters and evaluating the effect on the transmitted vertical body forces. The results show that the inclusion of these interfacial dynamics have nominal influence on isolation performance; however, the coupling terms show an observable influence, typically increasing the force transmitted to the vehicle body. In addition, the study identified additional design modifications that could improve isolation performance, such as an increase in isolator material loss factor and an increase in the isolator fore-aft stiffness. Although the results are specific to this isolation system design, the modeling procedure outlined has the potential to be used early in the vehicle design process to identify improvements to other baseline designs.NSF I/UCRC Smart Vehicle Concepts CenterTenneco, Inc.A three-year embargo was granted for this item.Academic Major: Mechanical Engineerin

    AIRBORNE PATH FREQUENCY BASED SUBSTRUCTURING METHOD AND ITS APPLICATIONS

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    Frequency based substructuring (FBS) is routinely used to model structural dynamics. It provides a framework for connecting structural subsystems together, assessing path contributions, determining the effect of mount modification, and identifying inverse forces. In this work, FBS methods are extended to include acoustic subsystems and connecting pipes and ducts. Connecting pipes or ducts are modeled using the transfer matrix approach which is commonly used for modeling mufflers and silencers below the plane wave cutoff frequency. The suggested approach is validated using boundary element method (BEM) simulation. Applications of the procedure include determining airborne path contributions, the effect of treating ducts and apertures, and the effect of making lumped acoustic impedance modifications to a subsystem. The method can be simplified and used for determining the effect of design changes on the insertion loss of enclosures

    ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ๋ชจ๋ธ๋ง๊ณผ ๋ฒ ์ด์ง€์•ˆ ์ตœ์ ํ™”๋ฅผ ์ด์šฉํ•œ ์—”์ง„ ๋งˆ์šดํŠธ ์‘๋‹ต๊ฐœ์„ 

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2020. 8. ๊ฐ•์—ฐ์ค€.This paper presents the results of a study conducted to predict and improve the response of an engine mount using a hybrid model that combines both experimental data and finite element (FE) analysis. The engine mount is the main point of transmission of engine vibration forces to the vehicle body. Therefore, improving the dynamic response of the engine mount improves the overall NVH performance of the vehicle. The hybrid modeling method adopts the substructure synthesis method based on the frequency response function based substructuring (FBS) theory, in this method, a complex dynamic structure is divided into multiple substructures, and the frequency response function (FRF) of the entire system is predicted using the FRFs of individual substructures. This method allows engineers to predict the changes in the experimental FRF of an existing physical system by applying FE analysis only to the substructures that have undergone a design modification. The change in the overall dynamic performance of the system can be predicted by modifying the CAD model of the substructure without preparing a physical model. Furthermore, the optimal design is proposed by applying the Bayesian optimization technique in this paper.๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ์ฐจ๋Ÿ‰ ์—”์ง„ ๊ตฌ์กฐ๋ฌผ์— ๋Œ€ํ•ด ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ์œ ํ•œ์š”์†Œ ํ•ด์„ ๋ฐ์ดํ„ฐ๋ฅผ ๋ชจ๋‘ ์ด์šฉํ•˜๋Š” Hybrid ๋ชจ๋ธ์˜ ๋ถ€๋ถ„๊ตฌ์กฐํ•ฉ์„ฑ๋ฒ•์„ ํ†ตํ•ด ์—”์ง„ ๋งˆ์šดํŠธ์—์„œ์˜ ์‘๋‹ต์„ ์˜ˆ์ธกํ•˜๋Š” ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. Hybrid ๋ชจ๋ธ ๋ถ€๋ถ„๊ตฌ์กฐ ํ•ฉ์„ฑ๋ฒ•์€ ๋ณต์žกํ•œ ์ „์ฒด ์‹œ์Šคํ…œ์„ ์—ฌ๋Ÿฌ ๊ฐœ์˜ ๋ถ€๋ถ„๊ตฌ์กฐ๋กœ ๋‚˜๋ˆ„์–ด ๊ฐ๊ฐ์˜ Frequency Response Function(FRF)๋งŒ์œผ๋กœ ์ „์ฒด ์‹œ์Šคํ…œ์˜ FRF๋ฅผ ์˜ˆ์ธกํ•˜๋Š” FRF Based Sub-structuring(FBS)์ด๋ก ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋ฉฐ, ํŠน์ • ๋ถ€๋ถ„ ๊ตฌ์กฐ๋ฌผ์€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ๋‹ค๋ฅธ ๋ถ€๋ถ„ ๊ตฌ์กฐ๋ฌผ์€ ์œ ํ•œ์š”์†Œํ•ด์„ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐฉ๋ฒ•์€ ์‹œ์Šคํ…œ ์ผ๋ถ€๋ถ„์˜ ๋ณ€ํ™”๊ฐ€ ์‹œ์Šคํ…œ ์ „์ฒด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋น ๋ฅด๊ฒŒ ํŒŒ์•… ํ•  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์—ฌ๋Ÿฌ ๋ถ„์•ผ์—์„œ ํ™œ๋ฐœํ•˜๊ฒŒ ์—ฐ๊ตฌํ•˜๊ณ  ์ ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ, ์ œํ’ˆ์ด ๊ฐœ๋ฐœ๋œ ํ›„ ์„ฑ๋Šฅ๊ฐœ์„ ์„ ์œ„ํ•œ ๋ถ€๋ถ„ ๊ตฌ์กฐ๋ฌผ์˜ ์„ค๊ณ„๋ณ€๊ฒฝ์— ๋”ฐ๋ฅธ ์ „์ฒด ์‹œ์Šคํ…œ์˜ FRF๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ์œ ์šฉํ•˜๊ฒŒ ์‚ฌ์šฉ๋œ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ ์„ค๊ณ„๋ณ€๊ฒฝ์ด ์ด๋ค„์ง€๋Š” ๋ถ€๋ถ„ ๊ตฌ์กฐ๋ฌผ์˜ ๊ฒฝ์šฐ ์œ ํ•œ์š”์†Œํ•ด์„ ๋ฐ์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜๋Š”๋ฐ ์ด๋Š” ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ ๋‹ฌ๋ฆฌ ์‹ค์ œ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ ์ œ์ž‘ ์—†์ด ์ปดํ“จํ„ฐ๋ฅผ ์ด์šฉํ•œ ๊ฐ„๋‹จํ•œ ๋ชจ๋ธ๋ง ๋ณ€๊ฒฝ๋งŒ์œผ๋กœ๋„ ์ „์ฒด ์‹œ์Šคํ…œ์˜ ์„ฑ๋Šฅ์„ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์—”์ง„ ๋งˆ์šดํŠธ์˜ ์‘๋‹ต์„ ์˜ˆ์ธกํ•˜๊ณ  ๊ฐ์†Œ์‹œํ‚ค๊ธฐ ์œ„ํ•ด Hybrid ๋ชจ๋ธ์˜ ๋ถ€๋ถ„๊ตฌ์กฐํ•ฉ์„ฑ๋ฒ•์ด ์ ์šฉ๋˜์—ˆ๋‹ค. ์—”์ง„ ๋งˆ์šดํŠธ์˜ ๊ฒฝ์šฐ ๊ทธ ์‘๋‹ต์ด ์ฐจ์ฒด๋กœ ์œ ์ž…๋˜๋Š” ๊ฐ€์ง„๋ ฅ์ด ๋˜๋ฏ€๋กœ ์ฐจ๋Ÿ‰ ์ „์ฒด์˜ NVH์„ฑ๋Šฅ ๊ฐœ์„ ์„ ์œ„ํ•ด์„  ์—”์ง„ ๋งˆ์šดํŠธ์˜ ์‘๋‹ต ๋ ˆ๋ฒจ์„ ์ค„์ด๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ์œ ํ•œ์š”์†Œํ•ด์„์ด ์ ์šฉ๋˜๋Š” ์•Œํ„ฐ๋„ค์ดํ„ฐ ๋ธŒ๋ผ์ผ“์˜ ๊ตฌ์กฐ๋ณ€๊ฒฝ์— ๋”ฐ๋ผ ์—”์ง„ ๋งˆ์šดํŠธ ์‘๋‹ต์ด ์–ด๋–ป๊ฒŒ ๋‹ฌ๋ผ์ง€๋Š”์ง€ ์˜ˆ์ธกํ•˜๊ณ  ์ด๋Ÿฌํ•œ ๊ฒฝํ–ฅ์„ฑ์„ ํ†ตํ•ด ์—”์ง„ ๋งˆ์šดํŠธ ์‘๋‹ต์„ ์ค„์ด๋Š” ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•œ๋‹ค. ๋” ๋‚˜์•„๊ฐ€ Hybrid ๋ชจ๋ธ๋ง ๊ธฐ๋ฒ•์„ ํ†ตํ•ด ๋งŽ์€ ๋ฐ์ดํ„ฐ๋ฅผ ๋น ๋ฅด๊ฒŒ ์–ป์„ ์ˆ˜ ์žˆ๋‹ค๋Š” ์žฅ์ ์„ ํ™œ์šฉํ•˜์—ฌ, Bayesian optimization ๊ธฐ๋ฒ•์„ ์ ์šฉ ํ•˜์˜€๊ณ  ์ด๋ฅผ ํ†ตํ•ด ์•Œํ„ฐ๋„ค์ดํ„ฐ ๋ธŒ๋ผ์ผ“์˜ ์ตœ์ ํ™”๋œ ๊ตฌ์กฐ๊ฐ•์„ฑ์„ ๋„์ถœํ•˜์˜€๋‹ค.CHAPTER 1 INTRODUCTION 1 CHAPTER 2 LITERATURE REVIEW 4 2.1 Introduction 4 2.2 Frequency Response Function (FBS) Theory 5 CHAPTER 3 OPERATIONAL DEFLECTION SHAPE ANALYSIS 12 3.1 Introduction 12 3.2 ODS and waterfall analysis 12 CHAPTER 4 HYBRID MODELING 15 4.1 Introduction 15 4.2 Hybrid modeling formulation 15 4.3 Reliability verification of hybrid modeling method 16 4.4 Alternator bracket design modification 18 CHAPTER 5 BAYESIAN OPTIMIZATION 30 5.1 Bayesian optimization 30 5.2 Optimization of structural stiffness of alternator bracket using Bayesian optimization 31 CHAPTER 6 CONCLUSION 34 6.1 Contribution 34 6.2 Future work 35 REFERENCES 37 ๊ตญ๋ฌธ ์ดˆ๋ก 39Maste

    Application of bolt joints dynamic parameters identification in machine tools based on partially measured frequency response functions

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    This paper presents a method to identify the bolt joints dynamic parameters based on partially measured frequency response functions (FRFs) and demonstrates its application in machine tools. Basic formulas are derived to identify the joint dynamic properties based on the substructuring method and an algorithm to estimate the unmeasured FRFs is also developed. The identification avoids direct inverse calculation to the frequency response function matrix, and its validity is demonstrated by comparing the simulated and measured FRFs of the assembled free-free steel beams with a bolt joint. An approach is put forward to apply the identification in machine tools by constructing structures assembled of substructures and joint structures to substitute the bolt joints in machine tools and assuring the contact conditions unchanged. The identification of the bed-column bolt joint in a vertical machining center is provided to describe the application procedure and show the feasibility of the proposed approach

    FRF ํ•ฉ์„ฑ๋ฒ•์„ ์ด์šฉํ•œ ์ฐจ๋Ÿ‰ ๋กœ๋“œ๋…ธ์ด์ฆˆ ์ €๊ฐ๋ฐฉ์•ˆ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2017. 8. ๊ฐ•์—ฐ์ค€.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์„œ์ŠคํŽœ์…˜ ๋ถ€์‹œ์™€ ์ฐจ์ฒด๋กœ ์ „๋‹ฌ๋˜๋Š” ๊ตฌ์กฐ๊ธฐ์ธ ๋กœ๋“œ๋…ธ์ด์ฆˆ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๊ณ , ๋ถ€์‹œ ๋™๊ฐ•์„ฑ ๋ณ€ํ™”๋ฅผ ํ†ตํ•œ ๋กœ๋“œ๋…ธ์ด์ฆˆ ์ €๊ฐ ๋ฐฉ์•ˆ์— ๋Œ€ํ•˜์—ฌ ์—ฐ๊ตฌํ•˜์˜€๋‹ค. ๊ตฌ์กฐ๊ธฐ์ธ ๋กœ๋“œ๋…ธ์ด์ฆˆ๋Š” ์„œ์ŠคํŽœ์…˜์„ ํ†ตํ•ด ์ฐจ์ฒด๋กœ ์ „๋‹ฌ๋˜๋Š” ๊ฐ€์ง„๋ ฅ์— ์˜ํ•ด์„œ ๊ฒฐ์ •์ด ๋˜๊ธฐ ๋•Œ๋ฌธ์— ๋ถ€์‹œ ๋™๊ฐ•์„ฑ๊ณผ ์ฐจ์ฒด ์ „๋‹ฌ ๊ฐ€์ง„๋ ฅ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ์ด ์ด ์—ฐ๊ตฌ์˜ ๋ชฉํ‘œ์ด๋‹ค. ๋ถ€์‹œ์™€ ๋กœ๋“œ๋…ธ์ด์ฆˆ ์‚ฌ์ด์˜ ๊ด€๊ณ„๋ฅผ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ, ๋ถ€์‹œ๊ฐ€ ์ฐจ์ฒด์™€ ์„œ์ŠคํŽœ์…˜ ๊ฒฐํ•ฉ ์‚ฌ์ด์—์„œ ์กฐ์ธํŠธ ์—ญํ• ์„ ํ•œ๋‹ค๊ณ  ๊ฐ€์ •ํ•˜๊ณ  FRF Based Substructuring ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ๊ฒ€์ฆ์„ ์œ„ํ•˜์—ฌ ํ˜„๊ฐ€์žฅ์น˜ ๋ฆฌ๊ทธ ํ…Œ์Šคํ„ฐ์™€ ํž˜ ๋ณ€ํ™˜๊ธฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ์‹ค์ œ ๊ฐ€์ง„๋ ฅ์„ ์ธก์ •, ๋ถ€์‹œ์˜ ๋™๊ฐ•์„ฑ ๋ณ€ํ™”์— ๋”ฐ๋ผ์„œ ์‹ค์ œ๋กœ ๊ฐ€์ง„๋ ฅ์„ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ์˜ˆ์ธก๊ณผ ์‹คํ—˜์„ ํ•จ๊ป˜ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์„œ์ŠคํŽœ์…˜์— ์••์ž…๋˜์–ด์žˆ๋Š” ๋ถ€์‹œ์˜ ๋™๊ฐ•์„ฑ์„ ๊ฐ„๋‹จํ•˜๊ฒŒ ๊ฐ„์ ‘์ ์œผ๋กœ ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด์„œ FRF ๊ด€๊ณ„์‹์„ ์ด์šฉํ•˜์˜€์œผ๋ฉฐ, ์ด๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋ถ€์‹œ๋ฅผ ๋บ„ ์ˆ˜ ์žˆ๋Š” ํŠน๋ณ„ํ•œ ์„œ์ŠคํŽœ์…˜์„ ์ œ์ž‘ํ•˜์—ฌ ๊ฒ€์ฆ์‹คํ—˜์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•˜์—ฌ ์„œ์ŠคํŽœ์…˜์— ์‚ฌ์šฉ๋˜๋Š” ๋ถ€์‹œ์˜ ๋™๊ฐ•์„ฑ์ด ์‹ค์ œ๋กœ ์ฐจ๋Ÿ‰ ๋กœ๋“œ๋…ธ์ด์ฆˆ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ๊ณ , ์ •๋Ÿ‰์ ์ธ ๋ถ€์‹œ ๋™๊ฐ•์„ฑ์„ ๊ฐœ์„ ์•ˆ์„ ๋„์ถœํ•ด๋‚ด๋Š”๋ฐ ๋ณธ ์—ฐ๊ตฌ๊ฐ€ ์ด์šฉ๋  ๊ฒƒ์ด๋ผ๊ณ  ์ƒ๊ฐํ•œ๋‹ค.1. ์„œ๋ก  1 2. ๊ธฐ์ดˆ ์ด๋ก  3 2.1. ๋กœ๋“œ๋…ธ์ด์ฆˆ ํŠน์„ฑ 3 2.2. ์ฃผํŒŒ์ˆ˜์‘๋‹ตํ•จ์ˆ˜ ํ•ฉ์„ฑ๊ธฐ๋ฒ• 3 2.3 Receptance Method 5 2.4 FBS ๊ธฐ๋ฒ•์„ ์ด์šฉํ•œ ์—ฌ๋Ÿฌ ๊ฒฝ๋กœ์กฐ๊ฑด์—์„œ์˜ ๋ฐ˜๋ ฅ ์ถ”์ • 6 2.5 ๋™ํŠน์„ฑ ์ถ”์ • ๋ฐฉ๋ฒ• 7 3. ์‹คํ—˜ ๊ตฌ์„ฑ ๋ฐ ์ธก์ • ๋ฐฉ๋ฒ• 11 3.1 ๊ตฌ์กฐ๋ฌผ FRF ์ธก์ • ์‹คํ—˜ 11 3.1.1 ๋ถ€์‰ฌํ‚คํŠธ FRF ์ธก์ • 11 3.1.2 ์„œ๋ธŒํ”„๋ ˆ์ž„ FRF ์ธก์ • 13 3.1.3 ํฌ์Šค๋ฆฌ๊ทธ FRF ์ธก์ • 14 3.1.4 ๋ถ€์‰ฌ FRF ์ธก์ • 15 3.1.5 ๋ถ€์‰ฌ ๋™๊ฐ•์„ฑ ์ฆ๊ฐ€ ํ›„ FRF ์ธก์ • 15 3.2 ๊ตฌ์กฐ๋ฌผ ๊ฒฐํ•ฉ ๋ฐ ๋ฐ˜๋ ฅ ์ธก์ • 16 3.2.1 ํฌ์Šค๋ฆฌ๊ทธ์™€ ์„œ๋ธŒํ”„๋ ˆ์ž„ ์ฒด๊ฒฐ ๋ฐ ์ „๋‹ฌ ํž˜ ์ธก์ • 16 4. ์‹คํ—˜๊ฒฐ๊ณผ ๋ฐ ๋ถ„์„ 26 4.1 ๋ถ€์‰ฌ ํ‚คํŠธ ๋ฐ˜๋ ฅ ์ธก์ • ๋ฐ ์˜ˆ์ธก ๊ฒฐ๊ณผ ๋น„๊ต 26 4.2 ์„œ๋ธŒํ”„๋ ˆ์ž„ ๋ฐ˜๋ ฅ ์ธก์ • ๋ฐ ์˜ˆ์ธก ๊ฒฐ๊ณผ ๋น„๊ต 27 4.3. ๋ถ€์‰ฌ๊ฐ•์„ฑ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ์ „๋‹ฌ๋ฅ  ๋น„๊ต 28 5. ๊ฒฐ๋ก  37 ์ฐธ๊ณ ๋ฌธํ—Œ 39Maste

    Dynamic Substructuring for Evaluating Vibro-acoustic Performance

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ๊ณ„ํ•ญ๊ณต๊ณตํ•™๋ถ€, 2020. 8. ๊ฐ•์—ฐ์ค€.Generally, a mechanical system consists of various substructures that cause noise and vibration problems. This thesis proposes a dynamic substructuring method for the estimation of the dynamic characteristics of a coupled mechanical system based on substructure characteristics. The first phase of this thesis presents a method for the estimation of rotational stiffness at the coupled points of an assembled system based on a dynamic substructuring method. Conventional test-based rotational stiffness evaluation methods are sensitive to measurement errors and require a specialized jig for testing. In contrast, given that the proposed method uses the natural frequency shift phenomenon that results from the addition of mass, the measurement error is relatively small, and the accuracy is improved by excluding the interference of other modes. In addition, the proposed method solves the problem due to the complexity of the conventional method by changing the fixed condition of the system using frequency response function (FRF)-based substructuring (FBS) modeling; thus, it does not require a specialized jig for fixing parts. In this manuscript, the concepts of trial mass, virtual mass, and virtual spring are introduced to systematically explain the proposed method and its application based on frequency shifts. The results of the experiments conducted on a vehicle shock absorber verify the utility of the proposed method. In the second phase, a novel transfer path analysis (TPA) method based on a dynamic substructuring model is proposed. With the dynamic substructuring model, the FRF information of a base system can be used to evaluate the stiffness addition effect at the measurement points instead of adding the actual stiffness. In the proposed method, a spring with an infinite stiffness is virtually added to a specific transfer path among various possible paths, such that the specific path is removed. Hence, the virtual spring significantly reduces the contribution of the specific path. This method is more implementable and applicable than existing TPA methods (i.e., conventional TPA and operational TPA), as it does require part removal or the correlation information between the signals. To verify the feasibility of the FBS-based TPA method, it was applied to a significant road noise phenomenon. The test results confirm that the proposed method can be applied to the TPA of suspension linkages and vehicle bodies. In the final phase of this thesis, an improved dynamic substructuring model is presented based on the estimated FRF information at a coupling point between substructures. An assembled system generally consists of two or more such substructures, which are typically connected by a bolt. To ensure an accurate estimation of the dynamic characteristics of the assembled system, an accurate measurement of the joint properties is required. However, in most practical cases, physical constraints prevent such measurements at actual coupling points. Accordingly, this study proposes a method that uses generalized coupling properties to estimate the dynamic characteristics of a new coupling system based on the characteristics of the original substructure. In this process, the concept of virtual point transformation was used to estimate accurate FRFs at the coupling points of the assembled system based on convenient measurements. Thereafter, the proposed method was validated using a hard-mount vehicle suspension in a test jig and on an actual vehicle body for estimating the vibration characteristics of the assembled system. This research contributes towards the accurate estimation of the dynamic properties of bolt-assembled systems in several practical applications.์ผ๋ฐ˜์ ์œผ๋กœ ๊ธฐ๊ณ„์‹œ์Šคํ…œ์€ ๋‹ค์–‘ํ•œ ํ•˜์œ„ ๋ถ€๋ถ„๊ตฌ์กฐ๋ฌผ๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ, ์ด๋“ค์€ ๋งŽ์€ ์†Œ์Œ ๋ฐ ์ง„๋™ ๋ฌธ์ œ๋ฅผ ์•ผ๊ธฐํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ์ด๋Ÿฌํ•œ ํ•˜์œ„ ๋ถ€๋ถ„๊ตฌ์กฐ๋ฌผ์˜ ๋™ํŠน์„ฑ ์ •๋ณด๋งŒ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ „์ฒด ๋Œ€์ƒ ์‹œ์Šคํ…œ์˜ ๋™์  ํŠน์„ฑ์„ ์ถ”์ •ํ•˜๊ธฐ ์œ„ํ•œ ๋™ํŠน์„ฑ ํ•ฉ์„ฑ๊ธฐ๋ฒ•์„ ๋‹ค๋ฃจ๊ณ  ์žˆ๋‹ค. ๋จผ์ €, ๋ณธ ๋…ผ๋ฌธ์˜ ์ฒซ ์žฅ์—์„œ๋Š”, ๋™ํŠน์„ฑ ํ•ฉ์„ฑ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•œ ๊ฒฐํ•ฉ ์‹œ์Šคํ…œ์˜ ํšŒ์ „ ๊ฐ•์„ฑ ์ถ”์ • ๊ธฐ๋ฒ•์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๊ธฐ์กด ์‹œํ—˜๊ธฐ๋ฐ˜์˜ ํšŒ์ „ ๊ฐ•์„ฑ ํ‰๊ฐ€๋ฒ•๋“ค์€ ์ธก์ • ์˜ค๋ฅ˜์— ๋ฏผ๊ฐ ํ•  ๋ฟ ์•„๋‹ˆ๋ผ, ์ธก์ •์„ ์œ„ํ•œ ๋ณ„๋„์˜ ๊ณ ์ •์šฉ ์ง€๊ทธ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์‹œ๋œ ๋ฐฉ๋ฒ•์€ ์‹œ์Šคํ…œ์— ๋ถ€๊ฐ€๋˜๋Š” ์งˆ๋Ÿ‰์— ์˜ํ•œ ๊ณ ์œ  ์ฃผํŒŒ์ˆ˜ ํŽธ์ด ํ˜„์ƒ์„ ์‚ฌ์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๊ธฐ์กด ๋ฐฉ๋ฒ•์— ๋น„ํ•ด ์ธก์ •์˜ค์ฐจ๊ฐ€ ์ƒ๋Œ€์ ์œผ๋กœ ์ž‘๊ณ , ๋‹ค๋ฅธ ๋ชจ๋“œ์˜ ๊ฐ„์„ญ์„ ๋ฐฐ์ œํ•จ์œผ๋กœ์จ ์ถ”์ • ์ •ํ™•๋„์˜ ํ–ฅ์ƒ์„ ๊ธฐ๋Œ€ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ๋ณธ ๊ธฐ๋ฒ•์€ ์ฃผํŒŒ์ˆ˜ ์‘๋‹ตํ•จ์ˆ˜ ๊ธฐ๋ฐ˜ ํ•ฉ์„ฑ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์‹ค์ œ ๊ณ ์ • ์ง€๊ทธ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋Œ€์‹ , ๊ณ ์ • ๊ฒฝ๊ณ„์กฐ๊ฑด์„ ์ˆ˜์‹์ ์œผ๋กœ ๋Œ€์ฒดํ•จ์œผ๋กœ์จ ๊ธฐ์กด ๋ฐฉ๋ฒ•์˜ ๋ณต์žก์„ฑ์„ ํ•ด๊ฒฐํ•˜์˜€๋‹ค. ์ด ๊ณผ์ •์—์„œ ์‹œํ—˜ ์งˆ๋Ÿ‰, ๊ฐ€์ƒ ์งˆ๋Ÿ‰ ๋ฐ ๊ฐ€์ƒ ์Šคํ”„๋ง์˜ ๊ฐœ๋…์ด ๋„์ž…๋˜์—ˆ์œผ๋ฉฐ, ์‹ค์ œ ์ฐจ๋Ÿ‰์˜ ์ถฉ๊ฒฉ ํก์ˆ˜์žฅ์น˜๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ชจ๋ธ์˜ ๊ฒ€์ฆ์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋‹ค์Œ์œผ๋กœ, ๋ณธ ๋…ผ๋ฌธ์˜ ๋‘ ๋ฒˆ์งธ ์žฅ์—์„œ๋Š”, ๋™ํŠน์„ฑ ํ•ฉ์„ฑ ๋ชจ๋ธ์„ ์ด์šฉํ•œ ์ƒˆ๋กœ์šด ์ „๋‹ฌ ๊ฒฝ๋กœ ๋ถ„์„ ๊ธฐ๋ฒ•์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋Œ€์ƒ ์‹œ์Šคํ…œ์˜ ์‹ค์ œ ์ „๋‹ฌ๊ฒฝ๋กœ๋ฅผ ์ œ๊ฑฐํ•˜๋Š” ๋Œ€์‹ , ๋ฌดํ•œ๋Œ€์˜ ๊ฐ•์„ฑ์„ ๊ฐ–๋Š” ๊ฐ€์ƒ์˜ ์Šคํ”„๋ง์„ ์ฃผํŒŒ์ˆ˜ ์‘๋‹ต ํ•จ์ˆ˜์˜ ํ˜•ํƒœ๋กœ ๋ฐ˜์˜ํ•จ์œผ๋กœ์จ, ํŠน์ • ์ „๋‹ฌ๊ฒฝ๋กœ์˜ ์ œ๊ฑฐ ํšจ๊ณผ๋ฅผ ๊ตฌํ˜„ํ•˜์˜€๋‹ค. ๋ณธ ๊ธฐ๋ฒ•์€ ๊ธฐ์กด์˜ ์ „๋‹ฌ๊ฒฝ๋กœ ๋ถ„์„๋ฒ•์— ๋น„ํ•˜์—ฌ ์‹คํ—˜์ ์œผ๋กœ ๊ตฌํ˜„์ด ์‰ฌ์šฐ๋ฉฐ, ์ธก์ •์— ์†Œ์š”๋˜๋Š” ์ž‘์—…๋Ÿ‰๊ณผ ๊ณ„์‚ฐ๋Ÿ‰ ๋˜ํ•œ ํš๊ธฐ์ ์œผ๋กœ ์ค„์ผ ์ˆ˜ ์žˆ๋‹ค. ํ•ด๋‹น ๊ธฐ๋ฒ•์€ ์ฐจ๋Ÿ‰ ํ˜„๊ฐ€๊ณ„์˜ ํŠน์ • ์ง„๋™ ์ „๋‹ฌ ํ˜„์ƒ์„ ์ด์šฉํ•˜์—ฌ ์‹คํ—˜์ ์œผ๋กœ ์œ ํšจ์„ฑ์ด ๊ฒ€์ฆ๋˜์—ˆ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์˜ ๋งˆ์ง€๋ง‰ ์žฅ์—์„œ๋Š”, ๋™ํŠน์„ฑ ํ•ฉ์„ฑ ๋ชจ๋ธ์˜ ์ •ํ™•๋„ ๊ฐœ์„ ์„ ์œ„ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ ๊ฒฐํ•ฉ์‹œ์Šคํ…œ์€ ๋‘ ๊ฐœ ์ด์ƒ์˜ ๊ฒฐํ•ฉ๋ฌผ์ด ๋ณผํŠธ๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ฒฐํ•ฉ๋˜๋ฉฐ, ๊ฒฐํ•ฉ ์‹œ์Šคํ…œ์˜ ๋™ํŠน์„ฑ ์˜ˆ์ธก์„ ์œ„ํ•ด์„œ๋Š” ๊ฒฐํ•ฉ๋ถ€์˜ ์ •ํ™•ํ•œ ๋™ํŠน์„ฑ์ด ์š”๊ตฌ๋œ๋‹ค. ํ•˜์ง€๋งŒ ๋Œ€๋ถ€๋ถ„์˜ ๊ฒฝ์šฐ, ๋ฌผ๋ฆฌ์  ๊ณต๊ฐ„์˜ ์ œ์•ฝ์œผ๋กœ ์ธํ•˜์—ฌ ์‹ค์ œ ๊ฒฐํ•ฉ ์ง€์ ์—์„œ์˜ ์ธก์ •์ด ๋ถˆ๊ฐ€๋Šฅํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ๊ฐ€์ƒ ์ง€์ ์˜ ๊ฐœ๋…์„ ๋„์ž…ํ•˜์—ฌ ๊ฒฐํ•ฉ์ง€์ ์—์„œ์˜ ์ฃผํŒŒ์ˆ˜ ์‘๋‹ตํ•จ์ˆ˜๋ฅผ ์ถ”์ •ํ•˜์˜€๋‹ค. ํ•ด๋‹น ๋ฐฉ๋ฒ• ์—ญ์‹œ, ์‹ค์ œ ์ฐจ๋Ÿ‰๊ณผ ์„œ์ŠคํŽœ์…˜ ์‹œํ—˜ ์ง€๊ทธ๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ฒ€์ฆ๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋งŽ์€ ์‹ค์ œ ์‘์šฉ ๋ถ„์•ผ์—์„œ ์ •ํ™•ํ•œ ์‹œ์Šคํ…œ์˜ ๋™ํŠน์„ฑ ์ถ”์ •์— ๊ธฐ์—ฌํ•˜๊ณ  ์žˆ๋‹ค.CHAPTER 1. GENERAL INTRODUCTION 1 1.1 Research background and motivation of the work 1 1.2 Literature reviews 8 1.3 Overview of the present work 15 1.4 Contributions 17 CHAPTER 2. INTRODUCTION TO DYNAMIC SUBSTRUCTURING 21 2.1 Introduction 21 2.2 Summary 25 CHAPTER 3. VIRTUAL PARAMETERS FOR ESTIMATING ROTATIONAL STIFFNESS 27 3.1 Introduction 27 3.2 Theoretical concepts 34 3.2.1 Concept of trial masses 34 3.2.2 Concept of virtual masses 40 3.2.3 Concept of virtual springs 44 3.3 Experimental validation 47 3.3.1 Validation of trial masses 47 3.3.2 Validation of virtual masses 55 3.3.3 Validation of virtual springs 59 3.4 Summary 64 CHAPTER 4. TRANSFER PATH ANALYSIS USING A VIRTUAL SPRING 69 4.1 Introduction 69 4.2 Conventional TPA 76 4.3 FBS-based TPA 79 4.4 Experimental validation 83 4.4.1 Specific road noise phenomenon 83 4.4.2 Suspension link TPA 89 4.4.3 Body TPA 99 4.5 Summary 104 CHAPTER 5. EXPERIMENTAL METHOD FOR IMPROVED ACCURACY OF DYNAMIC SUBSTRUCTURING MODEL 109 5.1 Introduction 109 5.2 Theoretical concepts 111 5.2.1 Dynamic substructuring model considering generalized coupling properties 111 5.2.2 Virtual point transformation method to improve experimental data 117 5.2.2.1 Virtual point displacement 117 5.2.2.2 Virtual point FRF 125 5.3 Validation of virtual point transformation 128 5.3.1 Target system and system description 128 5.3.2 Validation of virtual point transformation 133 5.3.2.1 Validation of virtual point displacement 133 5.3.2.2 Validation of virtual point FRF 139 5.3.3 Dynamic substructuring with virtual point transformation 143 5.4 Summary 152 CHAPTER 6. CONCLUSIONS AND RECOMMENDATIONS 155 6.1 Conclusions 155 6.2 Recommendations 159 APPENDIX 163 REFERENCES 167 ๊ตญ ๋ฌธ ์ดˆ ๋ก 177Docto

    EFFECTS OF SUPPORT STRUCTURE DYNAMICS ON CENTRIFUGAL COMPRESSOR ROTOR RESPONSE

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    LectureAccurate modeling of complicated dynamic phenomena characterizing rotating machineries represents a critical aspect in the rotor dynamic field. A correct prediction of rotor behavior is fundamental to identify safe operating conditions avoiding unstable operating range that may lead to erroneous project solution or possible unwanted consequences for the plant. Considering generic rotating machineries as mainly partitioned in four components (rotors, bearings, stator and supporting structure), most research activities have been addressed so far with strong focus more on the single components rather than on the whole system assembly. The importance of a combined analysis of rotors and elastic supporting structure (Kruger 2013) arises with the continuous development of turbo machinery applications, in particular in the Oil & Gas field, where a wide variety of solutions, such as off-shore installations or modularized turbo compression and turbo generator trains, lead to the need of a more complete study not only limited to the rotor-bearing system
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