Volume 4 Issue 4                         October-December 2016

 

REVIEW ON LOAD ANALYSIS AND MATERIAL OPTIMIZATION OF CONNECTING ROD USING FEA METHODS  [pp 01-04]

Tiwari R.K., Dr. Rajvaidya Rohit
Abstract –  Internal combustion engines have at least one connecting rod to transmit the thrust of the piston to the crankshaft, and as the result the reciprocating motion of the piston is translated into rotational motion of the crankshaft. From the viewpoint of functionality, connecting rods must have the highest possible rigidity at the lowest weight capable to withstand varying loads. It has been found that structural failure ….


LOAD ANALYSIS AND MATERIAL OPTIMIZATION OF CONNECTING ROD USING FEA METHODS  [pp 05-10]

Tiwari R.K., Dr. Rajvaidya Rohit
Abstract – Finite element method is a numerical technique for tackling issues of designing and scientific material science. In this technique, a body or a structure in which the examination to be completed is subdivided into littler components of Finite measurements called Finite components….


An Assessment of Fuzzy Temporal Event Correlation towards Cyber Crime Investigation [pp 11-18]

Lokhande Sameer, Rajput Divya, Kumar Rohit

Abstract: Event logging and event logs play an important role in modern IT systems criminal investigation which is generated when end user with each other in web environment and stored in various logs like firewall log file at side ,network log file at gateway and web log file at server side. But log file is not to be over emphasized as a source of information in systems and network management. Whereas conduct efficient investigation and gathering of use full information need to correlate different log file. Task of analyzing….


Simulation Analysis of FACTs Devices for Transient Stability Improvement in Multi Machine System [pp 19-25]

Khatik Raman

Abstract: Transient stability control plays a important role in ensure the stable operation of power systems in the experience of large disturbances and faults, and is thus a important area of research. This paper investigates relationship….


Bankruptcy Prediction Model Using Machine Learning Techniques – A Survey [26-33]

Ahirwar Shubham, Jain Ravi

Abstract: Financial depression and then the resultant failure of a business is usually an extremely costly and disrupting event for any company and organization. Statistical predictions of financial depression models try to predict whether a business will experience financial failure in the future. Discriminate analysis and logistic regression have been the most popular approaches which….