other · NASA STI Repository (National Aeronautics and Space Administration)

Surface fitting three-dimensional bodies

Ford, C. P., III, Dejarnette, F. R.

Cited by 0Open access

Abstract

The geometry of general three-dimensional bodies was generated from coordinates of points in several cross sections. Since these points may not be on smooth curves, they are divided into groups forming segments and general conic sections are curve fit in a least-squares sense to each segment of a cross section. The conic sections are then blended in the longitudinal direction through longitudinal curves. Both the cross-sectional and longitudinal curves may be modified by specifying particular segments as straight lines or specifying slopes at selected points. This method was used to surface fit a 70 deg slab delta wing and the HL-10 Lifting Body. The results for the delta wing were very close to the exact geometry. Although there is no exact solution for the lifting body, the surface fit generated a smooth surface with cross-sectional planes very close to prescribed coordinate points.

Cite this paper

APA 7

Ford, C. P. I., & Dejarnette, F. R. (n.d.). Surface fitting three-dimensional bodies. NASA STI Repository (National Aeronautics and Space Administration).

MLA 9

Ford, C. P., III, and F. R. Dejarnette. “Surface fitting three-dimensional bodies.” NASA STI Repository (National Aeronautics and Space Administration).

Chicago

Ford, C. P., III, and F. R. Dejarnette. n.d.. “Surface fitting three-dimensional bodies.” NASA STI Repository (National Aeronautics and Space Administration).

Harvard

Ford, C.P.I. and Dejarnette, F.R. (n.d.) ‘Surface fitting three-dimensional bodies’, NASA STI Repository (National Aeronautics and Space Administration).

BibTeX

@misc{fordsurface,
  title = {{Surface fitting three-dimensional bodies}},
  author = {Ford, C. P., III and Dejarnette, F. R.},
  journal = {NASA STI Repository (National Aeronautics and Space Administration)}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.