SlideShare a Scribd company logo
1 of 18
Conceptual Design of Boeing 737
Using Raymer Design Software v6.3e by Daniel P. Raymer
By
Sandeep Kumar
Masters student in Aerospace Engineering
Contents
• Project Cost
• Geometry Data
• Design Layout Module
• RDS-EZ
• Mach Number Selection
• Cruise Altitude Selection
• Airfoil Selection
• Flight Envelope
• RDS-Student
• Comparison of results
Number of hours Spent
Understanding the software = 4 hrs
Data Gathering = 8 hrs
Generation of Solid Model = 3 hrs
RDS-EZ = 1 hr
RDS-Student = 4 hrs
Presentation = 4 hrs
Total = 24 hrs
Project Cost
(in terms of Time)
Boeing 737 Geometry Data and Parameters
(Source: Boeing website and Ref. 1)
Boeing 737 Geometry Data and Parameters
(contd.)
(Source: Boeing website and Ref. 1)
Design Layout Module
RDS-EZ
• Induced Drag factor increases after Mach number = 0.8
• Favorable Mach number range is 0.7 to 0.8
• Parasitic Drag factor increases after Mach number =0.7
• Favorable Mach number range is 0.6 to 0.7
Hence, optimum Mach number is in the neighborhood of 0.7
Mach Number Selection
Cruise Altitude Selection
• With increase in altitude, drag force reduces
• Negligible reduction in drag above 30000 ft. at
Mach number 0.7
• L/D ratio decreases with increase in altitude
• Decrease is drastic above 40000 ft.
• L/D maximum at 40000 ft. for Mach number 0.7
Hence, optimum altitude of 35000 ft. is selected with a service ceiling at 41000 ft.
Flight level 350
Passenger Load = Total Load – Fuel load
= 82209.5-38629.3
= 43580.2
Max Range = 3115 nm
Hence,
Range/pax = .0715
Cruise Altitude Selection (contd.)
Airfoil Selection
• At Mach Number 0.7, L/D increase slightly
with increase in velocity for Cl values between
1.089 to 1.4 (This implies small increment in
velocity increases lift)
(Source: airfoiltools.com)
Cl-α for Boeing 737 Mid-span Airfoil
The Wing is designed such that it has an optimum Cl value of 1.3
• At Mach Number 0.7 L/D increase slightly
with increase in velocity for Cl values
between 1.089 to 1.4
Stall
Speed
Top
Speed
Flight
Conditions
Flight Envelope
RDS-Student
• More accurate Aerodynamic
analysis was carried out with
actual data and parameters for
Boeing 737-800
• However, the results are very
similar to the RDS-EZ results
RDS-EZ RDS-Student
Comparison of the results
RDS-EZ RDS-Student
RDS-EZ RDS-Student
RDS-EZ RDS-Student
• Perkins, H. Douglas, Jack Wilson, and Daniel P. Raymer. "An Evaluation of Performance Metrics for High
Efficiency Tube-and-Wing Aircraft Entering Service in 2030 to 2035." (2011)
References

More Related Content

What's hot

Lean Six-Sigma Green Belt - Ankit Jain
Lean Six-Sigma Green Belt - Ankit JainLean Six-Sigma Green Belt - Ankit Jain
Lean Six-Sigma Green Belt - Ankit Jain
Ankit Jain
 

What's hot (20)

Redis Day TLV 2018 - RediSearch Aggregations
Redis Day TLV 2018 - RediSearch AggregationsRedis Day TLV 2018 - RediSearch Aggregations
Redis Day TLV 2018 - RediSearch Aggregations
 
Mini conf 20-jan-18 delhi
Mini conf   20-jan-18 delhiMini conf   20-jan-18 delhi
Mini conf 20-jan-18 delhi
 
PROJECT
PROJECTPROJECT
PROJECT
 
Thermal Comfort Assessment: Comply with EN 15251 and EPBD
Thermal Comfort Assessment: Comply with EN 15251 and EPBDThermal Comfort Assessment: Comply with EN 15251 and EPBD
Thermal Comfort Assessment: Comply with EN 15251 and EPBD
 
BDT201 AWS Data Pipeline - AWS re: Invent 2012
BDT201 AWS Data Pipeline - AWS re: Invent 2012BDT201 AWS Data Pipeline - AWS re: Invent 2012
BDT201 AWS Data Pipeline - AWS re: Invent 2012
 
Ppt0
Ppt0Ppt0
Ppt0
 
Abstract2
Abstract2Abstract2
Abstract2
 
ERU CEP.pptx
ERU CEP.pptxERU CEP.pptx
ERU CEP.pptx
 
Vectors in 2 Dimensions
Vectors in 2 DimensionsVectors in 2 Dimensions
Vectors in 2 Dimensions
 
Lean Six-Sigma Green Belt - Ankit Jain
Lean Six-Sigma Green Belt - Ankit JainLean Six-Sigma Green Belt - Ankit Jain
Lean Six-Sigma Green Belt - Ankit Jain
 
Multi-Direction Pedestrian Wind Comfort Analysis
Multi-Direction Pedestrian Wind Comfort AnalysisMulti-Direction Pedestrian Wind Comfort Analysis
Multi-Direction Pedestrian Wind Comfort Analysis
 
CO Removal and Smoke Extraction: Garage Ventilation System Design with CFD
CO Removal and Smoke Extraction: Garage Ventilation System Design with CFDCO Removal and Smoke Extraction: Garage Ventilation System Design with CFD
CO Removal and Smoke Extraction: Garage Ventilation System Design with CFD
 
Pressure Coefficients on Building Facades for Building Simulation
Pressure Coefficients on Building Facades for Building SimulationPressure Coefficients on Building Facades for Building Simulation
Pressure Coefficients on Building Facades for Building Simulation
 
‘ZEB1 For Mining’
‘ZEB1 For Mining’ ‘ZEB1 For Mining’
‘ZEB1 For Mining’
 
ZEB1 Mobile Hand-held laser scanner for mining applications
ZEB1 Mobile Hand-held laser scanner for mining applicationsZEB1 Mobile Hand-held laser scanner for mining applications
ZEB1 Mobile Hand-held laser scanner for mining applications
 
PORTFOLIO
PORTFOLIOPORTFOLIO
PORTFOLIO
 
The Priority Schools Building Programme and Thermal Comfort #PSBPcomfort
The Priority Schools Building Programme and Thermal Comfort #PSBPcomfortThe Priority Schools Building Programme and Thermal Comfort #PSBPcomfort
The Priority Schools Building Programme and Thermal Comfort #PSBPcomfort
 
Well log data processing
Well log data processingWell log data processing
Well log data processing
 
Gocad Tutorial
Gocad TutorialGocad Tutorial
Gocad Tutorial
 
CAMS GA Aircraft Measurements by Schlager
CAMS GA Aircraft Measurements by SchlagerCAMS GA Aircraft Measurements by Schlager
CAMS GA Aircraft Measurements by Schlager
 

Similar to A498 Project

AIRPORT AIR TRANSPORT CHARASTERSTICS.pptx
AIRPORT AIR TRANSPORT CHARASTERSTICS.pptxAIRPORT AIR TRANSPORT CHARASTERSTICS.pptx
AIRPORT AIR TRANSPORT CHARASTERSTICS.pptx
Rishi Nath
 
Passenger Transport Aircraft Concept Design-Final
Passenger Transport Aircraft Concept Design-FinalPassenger Transport Aircraft Concept Design-Final
Passenger Transport Aircraft Concept Design-Final
Alex Esche
 
Dhruv Drone Thesis FInal PPT
Dhruv Drone Thesis FInal PPTDhruv Drone Thesis FInal PPT
Dhruv Drone Thesis FInal PPT
Dhruv Tandon
 
Design of a Light Sport Aircraft
Design of a Light Sport AircraftDesign of a Light Sport Aircraft
Design of a Light Sport Aircraft
Nathan Butt
 
Senior Design Progress Report
Senior Design Progress ReportSenior Design Progress Report
Senior Design Progress Report
Connor McGuire
 
UCMerced_Benavente
UCMerced_BenaventeUCMerced_Benavente
UCMerced_Benavente
Thomas Peev
 

Similar to A498 Project (20)

Conceptual design of a WIG Aircraft
Conceptual design of a WIG AircraftConceptual design of a WIG Aircraft
Conceptual design of a WIG Aircraft
 
Blended wing body Aircraft PPT
Blended wing body Aircraft PPT Blended wing body Aircraft PPT
Blended wing body Aircraft PPT
 
MCR: USLI 2009-2010, UAHuntsville
MCR: USLI 2009-2010, UAHuntsvilleMCR: USLI 2009-2010, UAHuntsville
MCR: USLI 2009-2010, UAHuntsville
 
Designing_and_studying_Airfoils_on_XFLR5 .pptx
Designing_and_studying_Airfoils_on_XFLR5 .pptxDesigning_and_studying_Airfoils_on_XFLR5 .pptx
Designing_and_studying_Airfoils_on_XFLR5 .pptx
 
Developing a Programme for Engine Design Calculations of a Commercial Airliner
Developing a Programme for Engine Design Calculations of a Commercial AirlinerDeveloping a Programme for Engine Design Calculations of a Commercial Airliner
Developing a Programme for Engine Design Calculations of a Commercial Airliner
 
Sensor Integration and Data Fusion from a High Definition Helicopter Mapping ...
Sensor Integration and Data Fusion from a High Definition Helicopter Mapping ...Sensor Integration and Data Fusion from a High Definition Helicopter Mapping ...
Sensor Integration and Data Fusion from a High Definition Helicopter Mapping ...
 
Initial presentation
Initial presentationInitial presentation
Initial presentation
 
AIRPORT AIR TRANSPORT CHARASTERSTICS.pptx
AIRPORT AIR TRANSPORT CHARASTERSTICS.pptxAIRPORT AIR TRANSPORT CHARASTERSTICS.pptx
AIRPORT AIR TRANSPORT CHARASTERSTICS.pptx
 
Drone Design Parameter basics by Avionics Club, SVNIT
Drone  Design Parameter basics by Avionics Club, SVNITDrone  Design Parameter basics by Avionics Club, SVNIT
Drone Design Parameter basics by Avionics Club, SVNIT
 
AE 4802 Final Presentation
AE 4802 Final PresentationAE 4802 Final Presentation
AE 4802 Final Presentation
 
Passenger Transport Aircraft Concept Design-Final
Passenger Transport Aircraft Concept Design-FinalPassenger Transport Aircraft Concept Design-Final
Passenger Transport Aircraft Concept Design-Final
 
Dhruv Drone Thesis FInal PPT
Dhruv Drone Thesis FInal PPTDhruv Drone Thesis FInal PPT
Dhruv Drone Thesis FInal PPT
 
AIR TRANSPORT CHARASTERSTICS.pptx
AIR TRANSPORT CHARASTERSTICS.pptxAIR TRANSPORT CHARASTERSTICS.pptx
AIR TRANSPORT CHARASTERSTICS.pptx
 
Design of a Light Sport Aircraft
Design of a Light Sport AircraftDesign of a Light Sport Aircraft
Design of a Light Sport Aircraft
 
Design and analysis of wing for Unmanned Aerial Vehicle using CFD
Design and analysis of wing for Unmanned Aerial Vehicle using CFDDesign and analysis of wing for Unmanned Aerial Vehicle using CFD
Design and analysis of wing for Unmanned Aerial Vehicle using CFD
 
Changing from ACN-PCN to ACR-PCR.pdf
Changing from ACN-PCN to  ACR-PCR.pdfChanging from ACN-PCN to  ACR-PCR.pdf
Changing from ACN-PCN to ACR-PCR.pdf
 
CFD Analysis of conceptual Aircraft body
CFD Analysis of conceptual Aircraft bodyCFD Analysis of conceptual Aircraft body
CFD Analysis of conceptual Aircraft body
 
IRJET-CFD Analysis of conceptual Aircraft body
IRJET-CFD Analysis of conceptual Aircraft bodyIRJET-CFD Analysis of conceptual Aircraft body
IRJET-CFD Analysis of conceptual Aircraft body
 
Senior Design Progress Report
Senior Design Progress ReportSenior Design Progress Report
Senior Design Progress Report
 
UCMerced_Benavente
UCMerced_BenaventeUCMerced_Benavente
UCMerced_Benavente
 

A498 Project

  • 1. Conceptual Design of Boeing 737 Using Raymer Design Software v6.3e by Daniel P. Raymer By Sandeep Kumar Masters student in Aerospace Engineering
  • 2. Contents • Project Cost • Geometry Data • Design Layout Module • RDS-EZ • Mach Number Selection • Cruise Altitude Selection • Airfoil Selection • Flight Envelope • RDS-Student • Comparison of results
  • 3. Number of hours Spent Understanding the software = 4 hrs Data Gathering = 8 hrs Generation of Solid Model = 3 hrs RDS-EZ = 1 hr RDS-Student = 4 hrs Presentation = 4 hrs Total = 24 hrs Project Cost (in terms of Time)
  • 4. Boeing 737 Geometry Data and Parameters (Source: Boeing website and Ref. 1)
  • 5. Boeing 737 Geometry Data and Parameters (contd.) (Source: Boeing website and Ref. 1)
  • 8. • Induced Drag factor increases after Mach number = 0.8 • Favorable Mach number range is 0.7 to 0.8 • Parasitic Drag factor increases after Mach number =0.7 • Favorable Mach number range is 0.6 to 0.7 Hence, optimum Mach number is in the neighborhood of 0.7 Mach Number Selection
  • 9. Cruise Altitude Selection • With increase in altitude, drag force reduces • Negligible reduction in drag above 30000 ft. at Mach number 0.7 • L/D ratio decreases with increase in altitude • Decrease is drastic above 40000 ft. • L/D maximum at 40000 ft. for Mach number 0.7 Hence, optimum altitude of 35000 ft. is selected with a service ceiling at 41000 ft.
  • 10. Flight level 350 Passenger Load = Total Load – Fuel load = 82209.5-38629.3 = 43580.2 Max Range = 3115 nm Hence, Range/pax = .0715 Cruise Altitude Selection (contd.)
  • 11. Airfoil Selection • At Mach Number 0.7, L/D increase slightly with increase in velocity for Cl values between 1.089 to 1.4 (This implies small increment in velocity increases lift) (Source: airfoiltools.com) Cl-α for Boeing 737 Mid-span Airfoil The Wing is designed such that it has an optimum Cl value of 1.3 • At Mach Number 0.7 L/D increase slightly with increase in velocity for Cl values between 1.089 to 1.4
  • 13. RDS-Student • More accurate Aerodynamic analysis was carried out with actual data and parameters for Boeing 737-800 • However, the results are very similar to the RDS-EZ results
  • 18. • Perkins, H. Douglas, Jack Wilson, and Daniel P. Raymer. "An Evaluation of Performance Metrics for High Efficiency Tube-and-Wing Aircraft Entering Service in 2030 to 2035." (2011) References