Manuscripts

Recent Papers

Analysis of Connecting Rod using Ti-6AI-4V, Steel and Ai-LM6 Composites

Now a day the light weight composite materials are widely used in engineering field. The composite materials has good characteristic of wear resistance, hardness and tensile strength. Due to less weight and good strength the composite materials plays a vital role in engineering field. Connecting rods can be made of composite material. The automobile engine connecting rod is a high volume production, critical component. It connects reciprocating piston to rotating crankshaft, transmitting the thrust of the piston to the crankshaft. Every vehicle that uses an internal combustion engine requires at least one connecting rod. It is subjected to multiple compressive & tensile forces generated by fuel combustion. The high magnitude of force is responsible for many kinds of failure. These failures need to be prevented & for this purpose analysis needed to be done. This study considers the case of static load stress analysis of the connecting rod. The model was developed in CATIA V5 R17 software, and then imported to ANSYS workbench. Using ANSYS workbench, model was analyzed for various stresses by applying suitable boundary conditions. Various parameters like equivalent stress, maximum shear stress, maximum and minimum principal stress and factor of safety are analyzed. Three materials were analyzed based upon their factor of safety viz., Structural Steel & Al-LM6 and Ti-6Al-4V. Ti-6Al-4V being light in weight having more yield strength and good safety factor became the best suitable material.

Published by: Sahil Guleria

Author: Sahil Guleria

Paper ID: M1P3-1138

Paper Status: published

Published: July 27, 2015

Full Details

Lubrication: A Review

Use of cutting fluids in machining processes can reduce the cutting temperature and provides lubrication to tool and work piece. These translate to longer tool life and improved surface quality. Metalworking fluids are a major cause of health hazards for operators apart from being sources of environmental pollution thus necessitating research in dry and minimum quantity lubrication (MQL) machining. The introduction of coolant techniques such as near-dry machining so called minimum quantity lubrication (MQL) and cryogenic coolant have shown promising performances especially in terms of cutting tool life. Nowadays, MQL is widely used in machining performances.

Published by: Prateek Selopal, O.S. Bhatia

Author: Prateek Selopal

Paper ID: V1I2-1145

Paper Status: published

Published: July 27, 2015

Full Details

Review Paper on: Total Productive Maintenance

Importance of TPM which stands for Total Productive maintenance for Liberalization of global economy has resulted tough competition in global market and for the sustainability in market for any product or service, the optimization of resources and costs in all sorts is required. The global competition is based on the innovation of advanced products, processes etc. and technology support is the essential requirement for any advancement in product or process where concept of Total productive maintenance has very much relevance today where it focus on improvement in equipment availability, performance and quality with assuring health and safety of employees and protection of environment.TPM provides a method for the achievement of world class levels of overall equipment effectiveness through people and not through technology or systems alone. It includes the organizational structures, human interactions, analytical tools and success criteria associated with the implementation of Total Productive Manufacturing programs.

Published by: Narinder Singh, Onkar Singh Bhatia

Author: Narinder Singh

Paper ID: V1I2-1143

Paper Status: published

Published: July 27, 2015

Full Details

Optimization of Steel Connecting Rod by Aluminum Connecting Rod using Finite Element Analysis

The main aim of the project is to analyze various stresses and fatigue parameters acting on connecting rod, Optimize shape and weight. Connecting rod is an intermediate & important engine component which connects piston & crankshaft. It is subjected to multiple compressive & tensile forces. Major consideration in this case is gas force. The high magnitude gas force is responsible for many kinds of failure. These failures need to be prevented & for this purpose analysis was needed to be done. In this project, connecting rod of Tractor is chosen as a model for study. This project considers two cases, first, static load stress analysis of the connecting rod, and second, optimization for weight. In this project analysis is done on four stroke single cylinder petrol engine connecting rod. The model was developed in PRO-E software, saved in IGES format and then imported to ANSYS workbench. Using ANSYS workbench 14 model was analyzed for various stresses by applying suitable boundary conditions & using different modules of ANSYS workbench 14. The Von Misses stresses, shear stresses, elastic strain, total deformation and various fatigue parameters like life, damage, safety factor etc. are analyzed. Here two materials were studied for their performance, viz., Structural Steel & Aluminum (LM6) Alloy. Shape and weight optimization was done for both the materials. Aluminum being light in weight and having more yield strength became the suitable material. The results obtained from the stress analysis were used to modify the design of existing connecting rod, so that better performance i.e. reduced inertia, fatigue life and manufacturability can be obtained under varying load conditions.

Published by: Sahil Guleria, Harpreet Singh

Author: Sahil Guleria

Paper ID: V1I1-1139

Paper Status: published

Published: May 4, 2015

Full Details

Classifications & Misclassifications of EEG Signals using Linear and Ada Boost Support Vector Machines

Epilepsy is one of the frequent brain disorder due to transient and unexpected electrical interruptions of brain. Electroencephalography (EEG) is one of the most clinically and scientifically exploited signals recorded from humans and very complex signal. EEG signals are non-stationary as it changes over time. So, discrete wavelet transform (DWT) technique is used for feature extraction. Classifications and misclassifications of EEG signals of linearly separable support vector machines are shown using training and testing datasets. Then AdaBoost support vector machine is used to get strong classifier.

Published by: Neelam Rout

Author: Neelam Rout

Paper ID: V1I1-1140

Paper Status: published

Published: May 4, 2015

Full Details

Uncertainty in Improving Durability Aspects and Mechanical Properties of Bamboo Reinforced Concrete

The construction industry uses the most of clean energy and also produces most of the carbon dioxide in the present global world. The production of one ton of steel and concrete emits more than two tonne and one tonne respectively of carbon dioxide whereas production of one tonne of bamboo consumes more than one tonne of carbon dioxide from the atmosphere. In SAARC countries like India where about two-third of the population live below poverty line, there is a great need of some other suitable construction material in terms of cost, availability and environment friendly. Towards this, many researchers in the past has emphasized on the use of Bamboo as reinforcement. Bamboo offers competitive strength to mass ratio, compared to re-bars. Since it is a natural material,the necessity to understand their long term behaviour regarding its acceptance as a suitable construction material in general is important. Due to the advantageous characteristics of bamboo, efforts should be made to popularize the use of bamboo. In this study, a review of the existing research work on Bamboo Reinforced Concrete with the emphasis on the various factors, which are considered as demerits in making bamboo reinforced concrete construction, as a tool is presented. This uncertainty study may serve the goal of making the dream of common people, to have their own home, come true. Keywords: Bamboo Reinforced Concrete, Durability, Mechanical Properties, Economic and Environmental Friendly Reinforcement.

Published by: Dhanendra Kumar, Dr. S. Mandal

Author: Dhanendra Kumar

Paper ID: V1I1-1136

Paper Status: published

Published: May 4, 2015

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X