1986Unpublished venueRequires access

New Generation Methods for Spur, Helical, and Spiral-Bevel Gears

Faydor L. Litvin, Wei-Jiung Tsung, J. J. Coy, Robert F. Handschuh, C.-B. Tsay

Open publisher page 3 citations

Abstract

New methods for generating spur, helical, and spiral-bevel gears are proposed. These methods provide the gears with conjugate tooth surfaces, localized bearing contact, and reduced sensitivity to gear misalignment. Computer programs have been developed for simulating gear meshing and bearing contact.

About this research paper

What this paper is about

New methods for generating spur, helical, and spiral-bevel gears are proposed. These methods provide the gears with conjugate tooth surfaces, localized bearing contact, and reduced sensitivity to gear misalignment. Computer programs have been developed for simulating gear meshing and bearing contact.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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

New methods for generating spur, helical, and spiral-bevel gears are proposed. These methods provide the gears with conjugate tooth surfaces, localized bearing contact, and reduced sensitivity to gear misalignment. Computer programs have been developed for simulating gear meshing and bearing contact.

Key concepts: Bevel gear, Spiral bevel gear, Spur, Spiral (railway), Bearing (navigation), Engineering, Spur gear, Mechanical engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
New Generation Methods for Spur, Helical, and Spiral-Bevel Gears — Research Paper | ScholarLens