2014Unpublished venueRequires access

Surface modeling of cubic surface for CAD/CAM applications

Monika Srivastava, Manish Kumar Mishra

Open publisher page 0 citations

Abstract

The present work is an attempt to develop a reverse engineering tool for CAD/CAM applications. In the present work generalized surfaces were generated using the defined control points using polynomial models. The control points chosen had the value of x, y and z coordinates at fixed intervals. The developed algorithm was verified using previous work.

About this research paper

What this paper is about

The present work is an attempt to develop a reverse engineering tool for CAD/CAM applications. In the present work generalized surfaces were generated using the defined control points using polynomial models. The control points chosen had the value of x, y and z coordinates at fixed intervals. The developed algorithm was verified using previous work.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The present work is an attempt to develop a reverse engineering tool for CAD/CAM applications. In the present work generalized surfaces were generated using the defined control points using polynomial models. The control points chosen had the value of x, y and z coordinates at fixed intervals. The developed algorithm was verified using previous work.

Key concepts: CAD, Surface (topology), Work (physics), Polynomial, Computer science, Reverse engineering, Algorithm, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Surface modeling of cubic surface for CAD/CAM applications — Research Paper | ScholarLens