Design Optimization and Analysis of a Connecting Rod using ANSYS
Journal Title: UNKNOWN - Year 2013, Vol 2, Issue 7
Abstract
The main Objective of this work is to explore weight reduction opportunities in the connecting rod of an I.C. engine by examining various materials such as Genetic Steel, Aluminum, Titanium and Cast Iron. This was entailed by performing a detailed load analysis. Therefore, this study has dealt with two subjects, first, static load and stress analysis of the connecting rod and second, Design Optimization for suitable material to minimize the deflection. In the first of the study the loads acting on the connecting rod as a function of time are obtained. The relations for obtaining the loads for the connecting rod at a given constant speed of crank shaft are also determined. It can be concluded from this study that the connecting rod can be designed and optimized under a comprising tensile load corresponding to 360o crank angle at the maximum engine speed as one extreme load, and the crank pressure as the other extreme load. Furthermore, the existing connecting rod can be replaced with a new connecting rod made of Genetic Steel.
Authors and Affiliations
Keywords
Related Articles
- EP ID EP337400
- DOI -
- Views 64
- Downloads 0
Cloud Computing in the Design of Learning Management Systems: A Way to Provide Equity in Access to Centralised Learning Resources
Secondary schools are mainly located in rural areas hence are isolated geographically and socially. Thus they face a number of problems in ensuring quality curriculum delivery. Problems like lack of teachers, inadequate...
Implementation of Low Power Test Pattern Generator Using LFSR
In our project, we propose a novel architecture which generates the test patterns with reduced switching activities. LP-TPG (Test pattern Generator) structure consists of modified low power linear feedback shift register...
Optimal Artificial Neural Network Modeling of Sedimentation yield and Runoff in high flow season of Indus River at Besham Qila for Terbela Dam
Optimal Artificial Neural Network Modeling of Sedimentation yield and Runoff in high flow season of Indus River at Besham Qila for Terbela Dam
The Influences of Learning Goal Orientation & General Self Efficacy on Transfer of Training among Engineering Students
The Influences of Learning Goal Orientation & General Self Efficacy on Transfer of Training among Engineering Students
Robust Segmentation and Classification of Histopathological Image
: Cancer is an uncontrolled cell growth caused due to abnormal cell division in any region of the body. When cancer is diagnosed at an early stage the treatment is simpler and effective. There are different types...