Topology Optimization of Spiral Bevel Gear for Differential
Mit Patel1, Vinay Khatod2, Amit Patel3, Bharat Prajapati4, Pavan Patel5
1Mit Patel, Mechanical Department, Silver Oak University, Ahmedabad, India.
2Vinay Khatod*, Automobile Department, Ganpat University, Mehsana, India.
3Amit Patel, Automobile Department, Ganpat University, Mehsana, India.
4Bharat Prajapati, Mechatronics Department, Ganpat University, Mehsana, India.
5Pavan Patel, Mechatronics Department, Ganpat University, Mehsana, India.
Manuscript received on December 12, 2019. | Revised Manuscript received on December 21, 2019. | Manuscript published on January 10, 2020. | PP: 1205-1209 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8586019320/2020©BEIESP | DOI: 10.35940/ijitee.C8586.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Spiral Bevel gear used in differential should be enough stiff to resist the vibrations and stresses encountered during its operation. The gear must also have sufficient strength to bear the bending stresses occurring in the differential assembly in its course of operation. This research is typically focused in designing a differential gear with least weight and minimal stresses. The model of the gear is designed in the Solidworks version 2015 while its analysis is carried in ANSYS 14.5. The number of parameters and levels involved in designing are more; the number of probable models is too many. To choose the optimal parameter among the list of choices, TAGUCHI method along with Finite Element Analysis (FEA) is used. By application of TAGUCHI method, not only the time required to design all the probable models is reduced, but also the time required to analyze all the models is cut down. Orthogonal Array has been incorporated to change the parameters necessary for reducing the weight of the gear. To get the best possible model of gear, FEA is then performed on the designed models. This process not only saves production time, but also prevents material wastage and production cost.
Keywords: FEA-DOE Hybrid Modeling, FEA Analysis, Gear Optimization, Parametric Optimization, Weight reduction.
Scope of the Article: Design Optimization of Structures