Aircraft and Rotorcraft Conceptual Design: Design Trends for the Preliminary Sizing and Surrogate Models for Performance Estimation / (Record no. 608366)

000 -LEADER
fixed length control field 02101nam a22001577a 4500
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sultan, Shoaib
245 ## - TITLE STATEMENT
Title Aircraft and Rotorcraft Conceptual Design: Design Trends for the Preliminary Sizing and Surrogate Models for Performance Estimation /
Statement of responsibility, etc. Shoaib Sultan
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Islamabad :
Name of producer, publisher, distributor, manufacturer SMME- NUST;
Date of production, publication, distribution, manufacture, or copyright notice 2022.
300 ## - PHYSICAL DESCRIPTION
Extent 93p.
Other physical details Soft Copy
Dimensions 30cm
500 ## - GENERAL NOTE
General note This research discusses the development of surrogate models for aircraft and rotorcraft design<br/>during the conceptual phase. The approach proposed in this study, on a crude scale, holds a<br/>strong utilization potential among the design community and aero modelers during the<br/>preliminary sizing. The fixed-wing aircraft database includes fighters, trainers, transport aircraft,<br/>agricultural planes, amphibious aircraft, light utility planes, motor-gliders, sport planes, and<br/>freighters. Similarly, the rotorcraft database comprises conventional, fenestron, counter-rotating,<br/>and no tail rotor configurations was developed from commercially available data. Linear/NonLinear regression modeling using power laws is carried out to explore highly correlated design<br/>trends among aircraft and rotorcraft weight, geometric, propulsion, and performance parameters.<br/>These design trends identify interdependencies among design parameters and provide initial<br/>design bounds for preliminary sizing. Aircraft and rotorcraft design is complex process, and a<br/>single variable can never predict the response with adequate confidence. Surrogate models using<br/>multiple linear regression techniques were developed to estimate aircraft and rotorcraft<br/>performance parameters: range, rate of climb, service ceiling, and maximum velocity. Moreover,<br/>these models are validated using a two-step process that includes verifying each model using<br/>quantitative criteria and checking the prediction accuracy of each model.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MS Mechanical Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Supervisor : Dr. Shahid Ikramullah Butt
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://10.250.8.41:8080/xmlui/handle/123456789/31736">http://10.250.8.41:8080/xmlui/handle/123456789/31736</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Thesis
Holdings
Withdrawn status Permanent Location Current Location Shelving location Date acquired Full call number Barcode Koha item type
  School of Mechanical & Manufacturing Engineering (SMME) School of Mechanical & Manufacturing Engineering (SMME) E-Books 02/27/2024 621 SMME-TH-798 Thesis
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