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Recent Research Activities InIntelligent Mechanics Laboratory
http://vibration.pknu.ac.kr
Professor Bo-Suk Yang
연구분야 : 회전기계의 진동해석 및 최적설계
회전기계의 상태감시 및 이상진단
학 력 : 1978. 부경대학교/기관공학/ 공학사
1980. 부경대학교/ 진동공학/ 공학석사
1985. 일본 Kobe대학/ 진동공학/ 공학박사
수상경력 : 1987. 일본기계학회상(장려상)
1987. H.H. Jeffcott Award/ 미국기계학회 우수논문상
1994. 과학기술우수논문상/ 한국과학기술단체 총연합회
1995. 최우수논문상/ 한국박용기관학회
2002. 강월논문상/ 한국소음진동공학회
2003. 부경학술상/부경대학교
1999~ : Who’s Who In The World (세계인명사전) 등재
1999 : Five Hundred Leaders of Influence 수상
연구분야 : 회전기계의 진동해석 및 최적설계
회전기계의 상태감시 및 이상진단
학 력 : 1978. 부경대학교/기관공학/ 공학사
1980. 부경대학교/ 진동공학/ 공학석사
1985. 일본 Kobe대학/ 진동공학/ 공학박사
수상경력 : 1987. 일본기계학회상(장려상)
1987. H.H. Jeffcott Award/ 미국기계학회 우수논문상
1994. 과학기술우수논문상/ 한국과학기술단체 총연합회
1995. 최우수논문상/ 한국박용기관학회
2002. 강월논문상/ 한국소음진동공학회
2003. 부경학술상/부경대학교
1999~ : Who’s Who In The World (세계인명사전) 등재
1999 : Five Hundred Leaders of Influence 수상
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
FacultyProf. Bo-Suk Yang, Ph.D.
FacultyProf. Bo-Suk Yang, Ph.D.
Alumnus(1986 ~2004)Alumnus(1986 ~2004)
Registered Students :Ph.D. : 10
Young-Mo Kong, Soo-Mok Lee
Jin-Dae Song, Chang-Mook Lee,
Jun-Ho Park, Byoung-Wook Kim,Tian-Han, Byoung-Rae Kil,
Chul-Hyun Park,
Jong-Yong Ha, Achmad Widodo
M.S. : 7Jong-Duk Son, Jae-Gap Lee,
Di Xiao, Niu Gang
Dong-Ho Yoon, Byung-yun Moon, Hyun-Chul Kim
Undergraduate : 5
Registered Students :Ph.D. : 10
Young-Mo Kong, Soo-Mok Lee
Jin-Dae Song, Chang-Mook Lee,
Jun-Ho Park, Byoung-Wook Kim,Tian-Han, Byoung-Rae Kil,
Chul-Hyun Park,
Jong-Yong Ha, Achmad Widodo
M.S. : 7Jong-Duk Son, Jae-Gap Lee,
Di Xiao, Niu Gang
Dong-Ho Yoon, Byung-yun Moon, Hyun-Chul Kim
Undergraduate : 5
Faculty & Student
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Ph.D. M.S. B.Eng.
10 54 3
Publications
Domestic Journal Papers 85
Domestic Proceedings 119
International Journal Papers 42
International Conference Proceedings 71
Technical Reports 28
Technical Books 11
Total (1985 – 2003)
2003Domestic Journal Papers 6
Domestic Proceedings 13
International Journal Papers 12
International Conference Proceedings 12
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Research Object
Steam Turbine Generator
Motor/Generator
Fan/Blower
Gas Turbine
Compressor
Pump
Rotating machinery
Turbocharger
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Rotating Machinery( Pump, Motor, Turbine, Generator, Compressor, etc.)
Rotating Machinery( Pump, Motor, Turbine, Generator, Compressor, etc.)
Dynamic Optimum Design Monitoring & Diagnostics
Vibration Analysis
Research Area
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Applications:Horizontal and Vertical PumpsSteam Turbine/Generator System for Thermal & Nuclear Power PlantSmall Fan/DC Motor Rotor System for RefrigeratorGeared & Coupled System (Bending & Torsional Vibration)Turbocharger Rotor System for Marine Diesel EngineDevelopment of General Purpose Software [EZ-ROTOR]
Applications:Applications:Horizontal and Vertical PumpsSteam Turbine/Generator System for Thermal & Nuclear Power PlantSmall Fan/DC Motor Rotor System for RefrigeratorGeared & Coupled System (Bending & Torsional Vibration)Turbocharger Rotor System for Marine Diesel EngineDevelopment of General Purpose Software [EZ-ROTOR]
Vibration Analysis
Topics:Hydrodynamic Analysis of Fluid Film BearingElectromagnetic Force Analysis of MotorMount or Squeeze Film Damper using MR FluidSeal Dynamics Finite Element Method, Transfer Matrix Method
Topics:Topics:Hydrodynamic Analysis of Fluid Film BearingElectromagnetic Force Analysis of MotorMount or Squeeze Film Damper using MR FluidSeal Dynamics Finite Element Method, Transfer Matrix Method
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Methods & Tools:Random Tabu Search MethodGenetic AlgorithmArtificial Life AlgorithmSimulated AnnealingHybrid Evolutional Algorithm
Methods & Tools:Methods & Tools:Random Tabu Search MethodGenetic AlgorithmArtificial Life AlgorithmSimulated AnnealingHybrid Evolutional Algorithm
Applications :Optimum Shape Design of Steam Turbine, Motor, CompressorOptimum Design for Bearing & Seal GeometryOptimum Design for Engine Mount & Squeeze Film DamperOptimum Layout of Damping Material Optimum Allocation of Piping SystemModel Updating & Parameter Identification
Applications :Applications :Optimum Shape Design of Steam Turbine, Motor, CompressorOptimum Design for Bearing & Seal GeometryOptimum Design for Engine Mount & Squeeze Film DamperOptimum Layout of Damping Material Optimum Allocation of Piping SystemModel Updating & Parameter Identification
Dynamic Optimum Design
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Development of Vibration Diagnostics AlgorithmsArtificial Neural Networks ( SOFM, LVQ, RBF, ART etc)Support Vector MachinesDecision Tree & Table, Fault Tree MethodExpert SystemPetri Net Technique
Case-Based Reasoning & DiagnosticsConstruction of Case Base by Vibration TroubleshootingWeb Site of Case Base Search(http://vibration.pknu.ac.kr)
Wavelet Analysis & Feature Extraction TechniquesDWA, Statistics
Principal Component Analysis, Genetic Algorithm
Development of Vibration Diagnostics AlgorithmsDevelopment of Vibration Diagnostics AlgorithmsArtificial Neural Networks ( SOFM, LVQ, RBF, ART etc)Support Vector MachinesDecision Tree & Table, Fault Tree MethodExpert SystemPetri Net Technique
CaseCase--Based Reasoning & DiagnosticsBased Reasoning & DiagnosticsConstruction of Case Base by Vibration TroubleshootingWeb Site of Case Base Search(http://vibration.pknu.ac.kr)
Wavelet Analysis & Feature Extraction TechniquesWavelet Analysis & Feature Extraction TechniquesDWA, Statistics
Principal Component Analysis, Genetic Algorithm
Condition Monitoring & Diagnostics
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Vibration Analysis
HP Rotor LP Rotor
Turbine/Generator Rotor System
Steam Turbine-Generator Rotor System(KORI #3,4, 1007MW)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Damping and Stiffness Coefficients of No. 2 Bearing
Steam Turbine-Generator Rotor System(KORI #3,4, 1007MW)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Steam Turbine-Generator Rotor System(KORI #3,4, 1007MW)
0 500 1000 1500 20001E-5
1E-4
1E-3
0.01
0.1
1
#5 bearing
#9 bearing
Am
plitu
de (
mm
)
Rotating speed (rpm)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Pump\Turbine-Generator\Motor Rotor Model(Muju #1, 2, 336MW)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Pump\Turbine-Generator\Motor Rotor Model(Muju #1, 2, 336MW)
100 200 300 400 500 600 700 800
1
10
Operating speed
Generator/motor
Runner
without add mass/magnetic force
with add mass/magnetic force
Am
plitu
de (µ
m)
Rotating speed (rpm)
100 200 300 400 500 600 700 800
0.01
0.1
1
10
Operating speed
Generator/motor
Runner
Am
plitu
de (µ
m)
Rotating speed (rpm)100 200 300 400 500 600 700 800
0
500
1000
1500
2000
2500
3000
Operating speed
without add mass of water
with add mass of water
Nat
ural
freq
uenc
y (c
pm)
Rotating speed (rpm)
Hydraulic unbalance
Mechanical unbalanceMode shape
Add-mass effect of water
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Finite Element Modeling
Specifications of rotor-shaftρ 7850 kg/m3
E 205 Gpa
l 482 mm
D 0.045 mm
m 13.2 kg
Ip 0.11207 kgm2
Id 0.07844 kgm2
m 32.773 kg
Ip 0.16176 kgm2
Id 0.16089 kgm2
Turb.wheel
Comp. wheel
Shaft
28000 rpmRated Speed
3.83Co/Ci
0.51L/D
0.01831 Pa⋅s/m2Oil Viscosity
Bearing parameters
Turbocharger Shaft
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Turbocharger Shaft
Modeling
Floating Ring Journal Bearing
Stodola mention FJB in 1927 firstlyTwo fluid film with inner and outer films
High damping propertyApplication to high speed turbines, excessive bearing temperature
Effective in suppressing both resonantvibrations at critical speed and self-excited vibration called oil whip
Dynamic analysis method- Impedence description- Finite difference method(FDM)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Turbocharger Shaft
Damping ratio diagram
Unstable
Stable
Two modes (a, b) are estimated as unstable modesStable threshold speed : 10600 rpmBearing design have to be modified
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
CControllable ontrollable Squeeze Film Damper with MR FluidSqueeze Film Damper with MR Fluid
MR FluidMR Fluid
ShaftShaft
Magnetic Field Magnetic Field DirectionDirection
Ball BearingBall Bearing
Controllable SFD with MR FluidControllable SFD with MR Fluid
Flexible ShaftFlexible Shaft Flexible CouplingFlexible Coupling
Fly WheelFly Wheel
Displacement SensorDisplacement Sensor
Motor
Conventional SFDConventional SFD
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Optimization Algorithms &Optimum Design
Evolutionary Algorithms
• Genetic Algorithm (GA) :자연계의 생명체 중 환경에 잘 적응한 개체가 좀더 많은 자손을 남길
수 있다는 자연선택 과정과, 자연계의 생명체의 설계도와 같은
유전자의 변화를 통해서 좋은 방향으로 발전해 나간다는 자연진화의
과정을 모방하여 컴퓨터로 모의 수행을 하는 최적화 알고리즘.
• Artificial Life Algorithm (ALA) : 자연생명계의 살아있는 시스템이 나타내는 거동을 모의하는
인공시스템을 응용한 알고리듬.
• Simulated Annealing (SA) :금속의 냉각과정에서의 조직 안정화현상을 모사한 최적화 알고리듬.
• Genetic Algorithm (GA) :자연계의 생명체 중 환경에 잘 적응한 개체가 좀더 많은 자손을 남길
수 있다는 자연선택 과정과, 자연계의 생명체의 설계도와 같은
유전자의 변화를 통해서 좋은 방향으로 발전해 나간다는 자연진화의
과정을 모방하여 컴퓨터로 모의 수행을 하는 최적화 알고리즘.
• Artificial Life Algorithm (ALA) : 자연생명계의 살아있는 시스템이 나타내는 거동을 모의하는
인공시스템을 응용한 알고리듬.
• Simulated Annealing (SA) :금속의 냉각과정에서의 조직 안정화현상을 모사한 최적화 알고리듬.
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
StartStart
Production of the initial chromosome calculation of the fitness
Production of the initial chromosome calculation of the fitness
Calculation of the fitness and affinity of individuals
Calculation of the fitness and affinity of individuals
Production of the individuals
Production of the individuals
SelectionSelection
Crossover and Mutation
Crossover and Mutation
Change old population with new population
Change old population with new population
Gen ≤ Max.GenGen ≤ Max.Gen
EndEnd
No
Yes
The differentiation of memory and suppressor cell
The differentiation of memory and suppressor cell
Calculation of the affinity between individuals and suppressor cellsAffinity ≥ Tacl
Calculation of the affinity between individuals and suppressor cellsAffinity ≥ Tacl
Proliferation andSuppression of
individuals
Proliferation andSuppression of
individuals
Immune Genetic Algorithm(IGA)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Immune Genetic Algorithm(IGA)
CoreFan
Bearing Bearing
Object function :
0
2
0
2
0 Q)() ()(
)(xxx
xQ
WW
F F ++=ω
ω
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
min.
IGAInitial
value Weight, W Bearing force, bF3
Critical speed, cnω (rad/s)
c2ω 685.84 538.34573 549.86c3ω 2646.14 2309.7938 2301.05
Shaft weight, W (kg)
W 10.235 5.59691 9.82036
Transmitted force, bjF (N)
bF1 13.562 9.808 15bF2 475.599 339.90555 543.1bF3 461.366 183.49775 114.71
Maximum bending stress, (MPa)
MaxBS 45.29 22.056 35.75
Maximum amplitude, (µm)
MaxAmp 78.9 65.87 68.9
(b) Original model
(a) Optimum model
Immune Genetic Algorithm(IGA)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Enhanced Genetic Algorithm (EGA)
StartStart
Production of the initial chromosome calculation of the fitness
Production of the initial chromosome calculation of the fitness
Calculation of the fitness Calculation of the fitness
Production of the individualsProduction of the individuals
SelectionSelection
Crossover and MutationCrossover and Mutation
Calculation of the affinity between saved candidacy solution set
Calculation of the affinity between saved candidacy solution set
FAC = 1FAC = 1
Yes
No
Affinity < 0.1Affinity < 0.1 Erasion candidacy solution
Erasion candidacy solution
No
Yes
Global search
Change old population with new population
Change old population with new population
Simplex methodSimplex method
Local search
No
Yes
Affinity < 0.1Affinity < 0.1
EndEnd
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Enhanced Genetic Algorithm (EGA)
HP Turbine
LPATurbine
LPBTurbine Generator
00
0
0
)()()()(Q
xQxW
xWxf ii γω
ωωβα +
−+= min.
Object function :
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Enhanced Genetic Algorithm (EGA)
(a) Original shaft model (b) Optimum shaft model
Objective function Original design
Optimum design
Total weight, W (x) 1427.88 kN 1425.84 kN
Q factor, Q1 (x) 56.1396 48.710
1st natural frequency, 894.8 cpm 892.9 cpm
Optimization Results
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Enhanced Artificial Life Algorithm (EAL)
Random Tabu Search Method
x0 : initial candidate solutionN(x0, h1) : neighbor region
Step size : number of sub-stepsCount number : maximum number of trial solution
to search in one region
Flow chart for proposed algorithm
Start
Metabolism using R-TabuMovement using R-Tabu
Initial distribution
Search resource
END
Age = Age +1Gen = Gen + 1
Gen > Gen_max
Make offspring using R-Tabu
Characteristics of proposed method:searching the various regions in a size
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Simple rotor supported by hydrodynamic journal bearing
Object function : minimize Q factor
Enhanced Artificial Life Algorithm (EAL)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
0.25 0.3 0.35 0.4
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5x 10-4C
lear
ance
C(m
)
L/D
Optimum
Feasible solutionregion
Original
Enhanced Artificial Life Algorithm (EAL)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Clustering based Hybrid Evolutionary Algorithm (CHEA)
START
END
GA-LS
Random search
GA-Clustering
Local Search for each cluster
Converge to one point ?
For j th cluster Return
Local Search from several point
Converge to one point ?
Reduce bounds as this cluster ’s
Function GA-LS
Local minimum found
Return
Local minimum found
N
N
Y
Y
Recursive call GA -LS
Initial population
Fitness evaluation
CEF < stop_criterion ? Return
Function GA-Clustering
N
Y
Clustering by using ART-KNN
Parents selection
Crossover, Mutation
New population
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Clustering based Hybrid Evolutionary Algorithm (CHEA)
Bearing parameter identification
500 1000 1500 200010
0
101
102
103
Rotating s peed (rpm)
Response (µm)
Me as ure dIde ntifie d
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Condition Monitoring &Diagnostics
Integrated Classification System for Diagnostics
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
A/D ConversionA/D Conversion
Hardware
Transient Stable
Software
Signal Data, Condition, Specification,Date, Sensor Information
Database
W/T TransformFeature ExtractionW/T Transform
Feature Extraction
Training (Neural Network) :SOFM, LVQ
Training (Neural Network) :SOFM, LVQW/T Transform
Feature ExtractionW/T Transform
Feature Extraction
Trained DataCondition ClassificationCondition Classification
Software Process
Software
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Neural Network Classification
Training Data
Trained Data
Self-Organizing Feature Map & Learning Vector Quantization
Technique
Re-organized into CODEBOOK Vectors
k-NN TechniqueWhich Class?
Untrained Data
Integrated Classification System for Diagnostics
Data Input
Data ManagementClassification
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Integrated Classification System (RECODIS)
Introduction of Case-Based Reasoning System
- Memorize previous situation and case-history
- Reuse to for solving new problem- Previous problem solving → current problem solving
- Memorize previous situation and case-history
- Reuse to for solving new problem- Previous problem solving → current problem solving
Case-Based Reasoning System
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
http://vibration.pknu.ac.kr
Case-Based Reasoning System
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Funded Research Project
Intelligent Mechanics Lab.PUKYONG NATIONAL UNIV.
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Funded Research Project
진동을 이용한 유도전동기 감시 및 진단 알고리즘 개발 2002-2004 Poscon
함정 소음원 진단 시스템 개발 2000-2005 ADD
특수 증기터빈용 베어링 설계 및 축계 진동 해석 기술 개발 2003-2004 두산중공업
중대형 고성능 과급기(Turbocharger) 개발 2001-2005 STX
증기터빈용 틸팅 패드 베어링 국산화 개발 2004-2006 한국전력연구원
영구 자석형 직류전동기의 진동특성 진단 및 진동 해석 2004-2006 대우정밀
전동기 이상진동 진단 프로그램 개발 2004-2006 현대중공업
전체 수행과제 (1986~ 현재) : 38개
수행 중 과제 :
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Noise Source Identification of Fan-Motor
BLDC motor
Axial fan
Motor cover
Shroud
BLDC motor
Axial fan
Motor cover
Shroud
Rated voltageRated speedFan diameterShaft length
9-15 V1200-1310 rpm
145 mm110 mm
Freezer chamber
Coolchamber
Comp Cond
Condenser cooling fan
Cold-air circulation fan
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Noise Source Identification of Fan-Motor
268 320 344 420
Measure
(ETET)
Torsional
418
Analysis
(FEA)
In-phase Bending Hub
In-phase Tilting
Torsional
323314258 407
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Noise Source Identification of Fan-Motor
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
유도전동기 감시 및 진단 알고리듬 개발
Induction Motor
Data Acqusition
Feature Extraction(Wavelet Transform, Statistics)
Feature Selection
ART KNNNeural Network
Fault Identification
Training
Classification
지원 기관 : Poscon(주)
연구 내용 및 목표
- 진동 신호를 이용한 통계적 특징 추출기법 개발
- 인공 신경망(ART-KNN)을 이용한 진단
알고리듬 개발
- 상태 감시용 신호처리 및 분석기법 연구
(시간영역, 주파수영역, Wavelet 분석)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
유도전동기 감시 및 진단 알고리듬 개발
Test rig
Speedometer
Accelerometer
AC current probes
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
유도전동기 감시 및 진단 알고리듬 개발
Unbalance mass
Rotor unbalance53 54 55 56 57 58 59 60 61 62 63
0.0000
0.0002
0.0004
0.0006
0.0008
0.0010
0.0012
0.0014
0.0016
0.0018
0.0020
Unbalance Noraml
Am
plitu
de
Time (s)
Rotating frequency (Hz)
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
유도전동기 감시 및 진단 알고리듬 개발
Bowed rotor Misalignment
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
유도전동기 감시 및 진단 알고리듬 개발
Full-load condition
Normal condition Parallel eccentricity Angle eccentricity
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
유도전동기 감시 및 진단 알고리듬 개발
Upper-bound & Entropy error Kurtosis & skewness
Feature parameters: Mean, RMS, Shape factor, Skewness, Kurtosis, Crest factorRMSF, FC, RVF, Entropy Estimations, Entropy error, Histogram (upper-bound and lower-bound)
Full-load condition
최적화 기법을 이용한 Containership 저진동 최적설계
Dimension(M) , LBP×B ×D×d (196.0×29.8×16.4×10.2)Loading case : Ballast, 19478 ton, Engine type : 6RTA72U Engine (97rpm, 17940 kW)Propeller : 5 blade기진력 : H-moment, X-moment, Propeller부가수 질량 고려
감쇠 ( 0.0Hz 0.0%, 20Hz 6.0% )
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
최적화 기법을 이용한 Containership 저진동 최적설계
OptShip
NASTRANCall one Optimization
method
Update model
Read results
Estimate F(X*)
AppUmodel
Wmodel
ExNas
Rforced
Rmode
Estimation
Initialize
OptRtabu
GA
…
Init
END
START
Structure of the OptShip
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
최적화 기법을 이용한 Containership 저진동 최적설계
D/H longi. mode coupled with Aft. bodyand double bottom
Frequency : 8.36 Hz
D/H torsional mode coupled with Aft. body
Frequency : 8.41 Hz
D/H torsional mode coupled with H/G
Frequency : 7.00 Hz
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
최적화 기법을 이용한 Containership 저진동 최적설계
50 60 70 80 90 100 1100
5
10
15
Vel
ocity
[mm
/s]
Navi.De ck(P ort, Longi.), Mag
OptshipNas /OptOrigina l
50 60 70 80 90 100 1100
5
10
15
Vel
ocity
[mm
/s]
Navi.De ck(P ort, Trans .), Mag
50 60 70 80 90 100 1100
5
10
15
Vel
ocity
[mm
/s]
R.P .M.
Navi.De ck(P ort, Ve rti.), Mag
PUKYONG NATIONAL UNIV. Intelligent Mechanics Lab.
Thank You