Estimation of Fatigue Strength of Crank Shaft with and Without Flywheel
Jacob1, D. Narayana2, Soumya S3, Subhash N4, Jagadeesha T5
1Mr. Subhash, PG Scholar, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.
2Mr. Jacob, Research Scholar, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.
3Mr. D. Narayana Samy , PG Scholar, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.
4Ms. Soumya P, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.
5Dr. Jagadeesha T, Assistant Professor, Department of Mechanical Engineering, National Institute of Technology, Calicut (Kerala), India.
Manuscript received on 19 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript Published on 15 June 2019 | PP: 122-127 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00250581S219/2019©BEIESP
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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: Evaluation of life and performance of complex engineering structures subjected to inherent randomness in loading, material properties and geometric parameters is becoming increasingly important in the design of structures. Fatigue analysis provides a means to quantify the reliability of complex systems and estimate the life by quantifying the cycles to failure. Crankshaft design is a complex task as engine runs at wide range of operating conditions. Loads are produced both by pressure (released by internal combustion) and inertia. It is designed to withstand high cyclic loads for 10 to 10 cycles. Crankshaft operates under high loads requiring high strength in tension and compression as well as fatigue strength. In this paper we describe the Computer aided fatigue analysis of crankshaft, a critical component in the functioning of an automotive. 3-D solid part of the crankshaft is modeled using CATIA V5 R15 and meshed using HYPERMESH 7.0. Boundary conditions and loading conditions are given in ABAQUS 6.5 and fatigue analysis is carried out using FE-SAFE software. Crack initiation location is also determined using FE-SAFE software.
Keywords: Carbon Nanotubes, Spark Plasma Sintering, Wear Behavior, Corrosion Resistance Crankshaft, Fatigue Life, White Curve, Gas Pressure.
Scope of the Article: Mechanical Maintenance