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Computer-aided gear product realization using enhanced decision-making in material selection and reliability assessment

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Abstract

Unmatched in its diversity of applications, gears continue to be one of the most successful components used to transfer energy throughout a mechanical system. Certain project settings can require gears to meet more than one criterion to achieve optimal performance. In this paper, we proposed the simulation-based design synthesis using virtual simulations and material selection charts. For this, a computer-generated two gear mechanism is made to create a gear material selection chart, similar to an Ashby chart, that compares the desired conditions of angular velocity and torque. By utilizing computer software to personalize specifications, a gear design material selection chart can be constructed to expedite the material selection process for project environments and needs. Using this approach, gear designers and manufactures can promote design efficiency in the early stage of product development by flexibly determining possible material choices for their gear design based on the desired performance specifications.

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Abbreviations

r 1 :

Pitch radius of pinion

r 2 :

Pitch radius of gear

r a1 :

Addendum radius of pinion

r a2 :

Addendum radius of gear

b :

Base radius of pinion

r b2 :

Base radius of gear

ϕ :

Pressure angle

f :

Face width of tooth

Z :

Length of contact path

N 1 :

Number of teeth of pinion

N 2 :

Number of teeth of gear

p b :

Base pitch

β L :

Roll angle increment (low load) of pinion

β H :

Roll angle increment (high load) of pinion

δ :

Pre contact roll angle of pinion

l :

Length of pinion involute during tooth contact

ρ 1 :

Radius of curvature of pinion

ρ 2 :

Radius of curvature of gear

Σρ :

Curvature sum

K :

Constant

Q :

Normal l oad

T :

Tooth life

G :

Gear l ife

L :

Mesh (contact) life

S T :

Tensile strength

S Y :

Yield strength

E :

Modulus of elasticity

HB :

Hardness, Brinell

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Acknowledgments

This research was partially supported by Professors Janet K. Allen and Farrokh Mistree, Systems Realization Laboratory, the University of Oklahoma from the L.A. Comp Chair account.

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of Texas at Tyler, Tyler, TX, USA

    Armin Yazdanshenas, Alireza Yazdanshenas & Chung-Hyun Goh

Authors
  1. Armin Yazdanshenas
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  2. Alireza Yazdanshenas
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  3. Chung-Hyun Goh
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Corresponding author

Correspondence to Chung-Hyun Goh.

Additional information

Chung-Hyun Goh is an Assistant Professor in the Department of Mechanical Engineering at the University of Texas at Tyler. He has a Ph.D. in Mechanical Engineering from Georgia Institute of Technology. His interests include the areas of robotics and computer-aided integrated design and manufacturing. He is currently working on medical device design and machine learning applications in engineering. His teaching interests include design, robotics, system dynamics and control.

Armin Yazdanshenas is a recent graduate from the University of Texas at Tyler where he earned his Master of Science in Mechanical Engineering. He also has a Bachelor’s degree in Mechanical Engineering from Mississippi State University. In his academic career, he has conducted both undergraduate and graduate research. His interests include mechanical design, finite element method, and convolutional neural networks.

Alireza Yazdanshenas is an Associate Engineer at Halliburton. He earned his Master of Science in Mechanical Engineering from the University of Texas at Tyler in 2019. One of his most recent research projects involved gear product realization and has since been published in ASME. His research interests include systems integration, robotics, and mechanical design.

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Yazdanshenas, A., Yazdanshenas, A. & Goh, CH. Computer-aided gear product realization using enhanced decision-making in material selection and reliability assessment. J Mech Sci Technol 34, 5167–5175 (2020). https://doi.org/10.1007/s12206-020-1118-z

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