NOISE REDUCTION ON AGRICULTURAL TRACTOR BY SHEET METAL OPTIMIZATION TAFE LIMITED

Similar documents
Value Engineering of Engine Rear Cover by Virtual Simulation

REDUCTION OF SEAT VIBRATION IN AN ATV THROUGH DESIGN MODIFICATION

NVH vs. Vehicle Fuel Economy Trade-off

Exhaust System Optimization of Passenger Car for Maximizing Fuel Efficiency through HyperWorks

Non-Linear Implicit Analysis of Roll over Protective Structure OSHA STANDARD (PART )

ADVANCED HIGH-STRENGTH STEEL FRONT RAIL SYSTEM PHASE II

EXPERIMENTAL MODAL ANALYSIS OF PASSENGER CAR ENGINE OIL PAN USING FEM AND FFT ANALYZER

Design Evaluation of Fuel Tank & Chassis Frame for Rear Impact of Toyota Yaris

NVH CHALLENGES AND SOLUTIONS FOR MODERN AND ELECTRIFIED POWERTRAINS

Noise and Vibration Measurements for the DCTA Stadler DMU

Accelerating the Development of Expandable Liner Hanger Systems using Abaqus

Addressing performance balancing in fuel economy driven vehicle programs

IJESRT. Scientific Journal Impact Factor: (ISRA), Impact Factor: 2.114

Vehicle Dynamic Simulation Using A Non-Linear Finite Element Simulation Program (LS-DYNA)

Simulation and Validation of FMVSS 207/210 Using LS-DYNA

Optimizing Performance and Fuel Economy of a Dual-Clutch Transmission Powertrain with Model-Based Design

Dynamic Load Analysis and Optimization of a Fracture-Split Connecting Rod

Full Vehicle Durability Prediction Using Co-simulation Between Implicit & Explicit Finite Element Solvers

Vibration Fatigue Analysis of Sheet Metal Fender Mounting Bracket & It's Subsequent Replacement With Plastic

Analysis and Correlation for Body Attachment Stiffness in BIW

COMMITMENT. &SOLUTIONS Act like someone s life depends on what we do.

Design and Calibration of the Jaguar XK Adaptive Cruise Control System. Tim Jagger MathWorks International Automotive Conference 2006

Sreekanth R, Rangarajan S, Anand G -System Simulation

ROOF CRUSH SIMULATION OF PASSENGER CAR FOR IMPROVING OCCUPANT SAFETY IN CABIN

Virtual Durability Simulation for Chassis of Commercial vehicle

NUMERICAL STUDY OF TRANSFER FUNCTION OF COM- BUSTION NOISE ON A HEAVY DUTY DIESEL ENGINE

Non-Linear Simulation of Front Mudguard Assembly

Gasket Simulations process considering design parameters

The X-Rotor Offshore Wind Turbine Concept

Proceedings of the World Congress on Engineering 2008 Vol II WCE 2008, July 2-4, 2008, London, U.K.

EFFECTIVENESS OF COUNTERMEASURES IN RESPONSE TO FMVSS 201 UPPER INTERIOR HEAD IMPACT PROTECTION

Introduction to vehicle NVH and Acoustics

ME scope Application Note 29 FEA Model Updating of an Aluminum Plate

Jaroslav Maly & team CAE departament. AV ENGINEERING, a.s.

Virtual Testing for Automotive Components and its Integration into the OEM s Product Creation Process. Dr. Gerald Seider Dr.

USING INSPIRE AS AN UPFRONT DESIGN, OPTIMIZATION & SIMULATION TOOL FOR EXISITNG MANUAL GEARBOX COMPONENTS

Experimental NVH evaluation of a pure electric vehicle in transient operation modes

Grand Challenge VHG Test Article 2 Test 4

Vibration Analysis of an All-Terrain Vehicle

Lighter and Safer Cars by Design

Noise Reduction in a Reciprocating Compressor by Optimizing the Suction Muffler

ANALYSIS OF STABILIZER BAR USING SIMPLIFIED APPROACH

Analysis Of Gearbox Casing Using FEA

IMPACT2014 & SMASH Vibration propagation and damping tests V0A-V0C: Testing and simulation

Damping Ratio Estimation of an Existing 8-story Building Considering Soil-Structure Interaction Using Strong Motion Observation Data.

Study Of Static And Frequency Responsible Analysis Of Hangers With Exhaust System

Validation and Optimization of Front End Cooling Module for Commercial Vehicle using CFD Simulation

Accelerating the Development of Expandable Liner Hanger Systems using Abaqus

Internal vibration monitoring of a Planetary Gearbox

Manufacturing Elements affecting the Performance & Durability Characteristics of Catalytic Converter

2 nd European HyperWorks Technology Conference Strasbourg September 30 th October 1 st, Welcome! 1/30

NVH ANALYSIS AND MEASUREMENT CORRELATION OF ELECTRICAL STARTER MOTOR FOR AUTOMOTIVE VEHICLES

ROLLOVER CRASHWORTHINESS OF A RURAL TRANSPORT VEHICLE USING MADYMO

EFFECT OF RUBBER DAMPERS ON ENGINE S NVH & TEMERATURE

Abaqus Technology Brief. Prediction of B-Pillar Failure in Automobile Bodies

Simulation of Rollover crash events

Highly Optimized Advanced High-Strength Steel Rear Chassis

FE Modeling and Analysis of a Human powered/electric Tricycle chassis

NVH CAE concept modeling and optimization at BMW.

2014 HBM ncode Products User Group Meeting

PREDICTION OF PISTON SLAP OF IC ENGINE USING FEA BY VARYING GAS PRESSURE

STRUCTURAL OPTIMIZATION & DURABILITY ANALYSIS OF VW BETTLE CROSS EXHAUST MUFFLER SYSTEM

PRODUCT RELIABILITY TESTING: Environmental, Mechanical and Packaging Case study: 19 Rackmount Switch

A Case Study Comparing 1-D and 3-D Analytical Modeling Methods for Vehicle Intake System Design

CONCEPTUAL CAR DESIGN AT BMW WITH FOCUS ON NVH PERFORMANCE

Multi-Body Simulation of Powertrain Acoustics in the Full Vehicle Development

Study on Mechanism of Impact Noise on Steering Gear While Turning Steering Wheel in Opposite Directions

DESIGN AND OPTIMIZATION OF HTV FUEL TANK ASSEMBLY BY FINITE ELEMENT ANALYSIS

VARIABLE DISPLACEMENT OIL PUMP IMPROVES TRACKED VEHICLE TRANSMISSION EFFICIENCY

Design and Field Test of a Full Scale Performance Augmentation Network (PAN) 2014 GMRC Research Project

Noise Reduction in an EV Hub Drive Using a Full Test and Simulation Methodology

Combustion PVM-MF. The PVM-MF model has been enhanced particularly for dualfuel

Performance Prediction of Automotive Air Conditioning System for Different Driving Cycle Conditions

DEFINITION AND SELECTION OF THE PROPER FLEX COUPLING FOR AN EXHAUST SYSTEM Mauricio MONTEAGUDO

Heavy-Duty Vehicle Efficiency Global status and current research

Damping Identification and Joint Modeling with Thin Layer Elements

Design Validation of an Integrated Transmission System

Simulation of Structural Latches in an Automotive Seat System Using LS-DYNA

Application of Reverse Engineering and Impact Analysis of Motor Cycle Helmet

Structural performance improvement of passenger seat using FEA for AIS 023 compliance

Development of Rattle Noise Analysis Technology for Column Type Electric Power Steering Systems

REDUCING THE OCCURRENCES AND IMPACT OF FREIGHT TRAIN DERAILMENTS

Research Report. FD807 Electric Vehicle Component Sizing vs. Vehicle Structural Weight Report

BY: Paul Behnke ITT Industries, Industrial Process. Juan Gamarra Mechanical Solutions, Inc.

Development of a Finite Element Model of a Motorcycle

AXLE HOUSING AND UNITIZE BEARING PACK SET MODAL CHARACTERISATION

INTRODUCTION. Research & Reviews: Journal of Engineering and Technology. Research Article

ASTM D4169 Truck Profile Update Rationale Revision Date: September 22, 2016

FE151 Aluminum Association Inc. Impact of Vehicle Weight Reduction on a Class 8 Truck for Fuel Economy Benefits

The validation of MBS multi-megawatt gearbox models on a 13.2 MW test rig

NVH. NVH: from the Vehicle to the Lab. Damián González Centro Tecnológico de Automoción de Galicia

Characterisation of Longitudinal Response for a Full-Time Four Wheel Drive Vehicle

A Short History of Real World Testing; What have we learnt?

A Systematic Approach to Weight Saving of Trailer Towing Systems at Land Rover

Cooling System Simulation for Indian Utility Vehicle using COOL3D

Explicit Simulation of Dampened Starter System using Altair Radioss

Simulation of proposed FMVSS 202 using LS-DYNA Implicit

Proper Modeling of Integrated Vehicle Systems

The Electron Cyclotron Heating & Current Drive (EC H&CD) Power Supply Procurement. F. Albajar, T. Bonicelli (F4E)

Booming Noise Optimization on an All Wheel Drive Vehicle

Transcription:

NOISE REDUCTION ON AGRICULTURAL TRACTOR BY SHEET METAL OPTIMIZATION TAFE LIMITED SK MD ASIF BASHA (SENIOR MEMBER COE NVH) M SUNDARAVADIVEL (SENIOR MEMBER NVH) Date (22 nd July 2016)

Tractors and Farm Equipment Limited Tractors and Farm Equipment Limited (TAFE), is a unit company of the Amalgamations Group Consists of 43 Companies, 37 Manufacturing Plants and a work-force of a little over 15, 000. Has grown under the leadership of Shri.A.Sivasailam, its Chairman, 1964-2011. Ms Mallika Srinivasan, Chairman & CEO of TAFE was conferred with Padma Shri in 2014. TAFE STRENGTH IN INDIA Strong Domestic presence Second largest in the country Reputed for quality products and after sales support Low cost of ownership & Highest resale value Consistently pursuing excellence

NOISE REDUCTION ON AGRICULTURAL TRACTOR BY SHEET METAL OPTIMIZATION Objective of case study The Objective of this study is noise and vibration reduction on an agricultural tractor by optimizing sheet metal components. To Perform Simulation for Complete Fender and Platform Assembly and correlation of the same with the Test results. Statement of problem This paper outlines the systematic approach for Sheet Metal Optimization through CAE simulations. The baseline FE model is developed with standard FE modelling methods and correlated with the test results. FE modeling techniques were reviewed and optimized based on development tests and the structural modifications were carried on the Complete Fender and Platform Assembly. here 3

Sources of Noise & Vibration in Tractor Exhaust Noise Transmission Noise Gear Rattle & Whine Structure Borne Noise Sheet Metal Components Housings, etc. here 4

Process Methodology Baseline CAE evaluation of the Fender Assembly Baseline Testing and Measurements on Tractor Physical test and Simulation correlation Improvements in FE model based on test correlation CAE based design modification iterations Certification test and correlation here 5

Noise db(a) Baseline Testing and Measurements Driver ear noise measurement Using microphones Vibration measurement on fender using accelerometer Vibration measurement on platform using accelerometer here 6

FE Model and Loading Foot rest Fender Assembly here 7 Mounting Bracket Reinforcements FE Model Major structural parts considered for FE model Cad data is converted to FEA model. Mesh type is taken as Mixed (quad & tria) elements and mesh Size is Considered as 3~ 5mm. All are connected with Rigid Elements (Seam Welds, Spot Welds and Bolts). Constant damping assumed based on previous experience. Load & BC ~25 load collectors (Eigrl, Spc,Tabled,Spcd,Freq1,Rload, Tabdamp1,etc..) are used to carry out vibration response analysis. Acceleration is given as input in the Mounting location of Fender and Platform. Frequency range Considered is from 20-250 Hz.

Frequency (Hz) Frequency (Hz) Baseline Simulation Modal Analysis Fender Modes Mode 1 Mode 2 Mode 7 Physical Test and Simulation Correlation Platform Modes Fender Modes Mode Number here 8 Mode Number

Vibration Correlation Fender- Vibration Response Constrained and Acceleration is applied at mounting locations. TEST DATA Response @ Fender Back here 9 Correlating Test and CAE Data. The Peak coming at 49 Hz is in Vertical Direction in Test Data. The Peak coming at 48 Hz is in Vertical Direction in CAE Data.

Vibration Correlation Platform - Vibration Response TEST DATA Response @ Platform Rear here 10 Correlating Test and CAE Data. The Peak coming at 180 Hz is in Vertical Direction in Test Data. The Peak coming at 182 Hz is in Vertical Direction in CAE Data.

here 11

CAE Based Final Design Structural Modifications Fender Platform Many iterations (>~30) have been performed in an effort to reduce Fender & Platform vibration. Final Iteration Structural Modifications are shown in the above Figures. Top Reinforcement, Side Reinforcement are the Major Modifications in the Fender. Bottom Reinforcements are added on both sides in Platform. Simulation helps to reduce development time and cost. here 12

Vibration Vibration Correlation Simulation- Base vs Improved y-axis Response @ Platform Rear z-axis Response @ Fender Front Reduction in vibration compare to baseline is observed. Improved model is giving 40-45% reduction compared to base model. here 13

Vibration Vibration Proposal / Optimization for Improvement Vibration comparison on fender Vibration comparison on platform here 14

Noise db(a) Prototype Testing Base Vs Improved DPNL (Base vs Improved) Measurement location LHS Fender Top front - X axis LHS Fender Top rear - X axis LHS Platform front - Z axis LHS Platform rear - Z axis RHS Fender Top front - X axis RHS Fender Top rear - X axis RHS Platform front - Z axis Test condition Baseline With improvement Changes happened Peak vibration Peak vibration Overall Overall Operating Operating vibration Vibration Operating vibration Vibration Overall speed Frequency speed Frequency level level condition level level value (rpm) (Hz) (rpm) (Hz) (m/s2) (m/s2) (m/s2) (m/s2) m/s2 Operating condition Vibration level change Percentage Percentage Peak change in change in value overall peak m/s2 (%) (%) Idling speed 750 8.38 4.25 96 Idling speed 750 3.13 0.53 77 5.25 3.72 62.6 87.5 1400 9.1 4.45 140 1400 9.27 3.04 22-0.17 1.41-1.9 31.7 Max torque 1700 13.1 4.31 121 Max torque 1700 10.6 1.23 86 2.5 3.08 19.1 71.5 Flyup speed 2400 33.1 17.6 56 Flyup speed 2400 20.8 2.13 40 12.3 15.47 37.2 87.9 Peak value 2272 27.2 19.3 75 Peak value 897.6 12.1 10.3 22 15.1 9 55.5 46.6 Idling speed 750 5.76 2.5 20 Idling speed 750 3.32 1.06 19 2.44 1.44 42.4 57.6 1400 8 2.75 70 1400 7.03 1.04 69 0.97 1.71 12.1 62.2 Max torque 1700 10.9 2.1 57 Max torque 1700 9.63 1.2 85 1.27 0.9 11.7 42.9 Flyup speed 2400 26 13 40 Flyup speed 2400 15.3 3.15 80 10.7 9.85 41.2 75.8 Peak value 1989 24.7 17.9 49 Peak value 2409 15.3 3.15 80 9.4 14.75 38.1 82.4 Idling speed 750 10.4 4.27 115 Idling speed 750 7.9 1.91 96 2.5 2.36 24.0 55.3 1400 60.6 41.5 105 1400 22.6 4.34 177 38 37.16 62.7 89.5 Max torque 1700 40.6 16.3 161 Max torque 1700 31.7 8.47 180 8.9 7.83 21.9 48.0 Flyup speed 2400 52.5 33.9 100 Flyup speed 2400 47.2 25.1 181 5.3 8.8 10.1 26.0 Peak value 1816 124 91.6 105 Peak value 1171 46 31.3 87 78 60.3 62.9 65.8 Idling speed 750 6.15 1.4 175 Idling speed 750 4.77 0.586 179 1.38 0.814 22.4 58.1 1400 15.9 6.89 176 1400 14.5 3.98 176 1.4 2.91 8.8 42.2 Max torque 1700 27.3 16.2 178 Max torque 1700 18.8 4.54 181 8.5 11.66 31.1 72.0 Flyup speed 2400 37 16.3 182 Flyup speed 2400 32.2 16.3 181 4.8 0 13.0 0.0 Peak value 2376 72.1 50 177 Peak value 1186 11.6 2.8 178 60.5 47.2 83.9 94.4 Idling speed 750 4.08 3.04 73 Idling speed 750 4.67 1.52 501-0.59 1.52-14.5 50.0 1400 11 5.23 66 1400 9.55 1.68 483 1.45 3.55 13.2 67.9 Max torque 1700 14.9 8.09 113 Max torque 1700 12.5 1.99 523 2.4 6.1 16.1 75.4 Flyup speed 2400 21 11.9 303 Flyup speed 2400 23.9 10.6 502-2.9 1.3-13.8 10.9 Peak value 1330 20.1 15.6 66 Peak value 1036 19.5 15.2 25 0.6 0.4 3.0 2.6 Idling speed 750 4.26 1.45 45 Idling speed 750 3.24 2.05 19 1.02-0.6 23.9-41.4 1400 10.1 2.77 46 1400 5.13 0.566 35 4.97 2.204 49.2 79.6 Max torque 1700 12.8 2.62 391 Max torque 1700 6.99 0.901 98 5.81 1.719 45.4 65.6 Flyup speed 2400 27.8 11.1 304 Flyup speed 2400 11.5 1.92 60 16.3 9.18 58.6 82.7 Peak value 2430 27.8 11.1 304 Peak value 824.9 4.56 3.17 20 23.24 7.93 83.6 71.4 Idling speed 750 9.51 7.02 78 Idling speed 750 6.34 1.23 96 3.17 5.79 33.3 82.5 1400 16.7 6.2 79 1400 15.7 4 92 1 2.2 6.0 35.5 Max torque 1700 19.9 6.74 165 Max torque 1700 20.6 3.73 99-0.7 3.01-3.5 44.7 Flyup speed 2400 33.1 18.2 81 Flyup speed 2400 29.4 5.65 241 3.7 12.55 11.2 69.0 Peak value 2400 33.1 18.2 81 Peak value 1232 20 13.1 92 13.1 5.1 39.6 28.0 Total 38 % 61 % Vibration (Base vs Improved) LHS 33 % 60 % RHS 43 % 61 % Significant reduction (about 0.5 db(a)) is observed in the driver ear noise level. The improved sheet panels shows about 38% reduction in the vibration level. here 15

Benefits Summary 1. Vibration at fender and platform of tractor is predicted with good correlation. 2. Correlated model was used for design optimization to reduce vibration. 3. Approximately 30 design concepts were simulated and studied. 4. Nearly 3 Months of time and proto costs were saved by avoiding physical testing. here 16

Conclusion A good correlation in terms of vibration was observed in physical test and simulation for baseline model. The correlated FE model was used for structural optimization using simulation and was implemented in final design. Prototype based upon final selected design was tested and vibration levels were measured. The results show vibration reduction by 38%. The above study and the process developed will help in refining FE modelling techniques and to reduce number of physical tests in future. The major structural resonances can be identified and will be addressed through structural optimization for vibration reduction at early design stage. here 17