Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

&nbsp;

&nbsp;

VIT University

World University root node

Department of Manufacturing Engineering

School of Mechanical Engineering

Vellore Campus

VIT Unitversity

Journal of Alloys and Compounds

Novel welding of Al0.5CoCrFeNi high-entropy alloy: Corrosion behavior

In this research work, the four ternary blends were prepared with 30% and 40% by volume of higher alcohol (decanol and hexanol) with <a href="https://www.sciencedirect.com/topics/engineering/biodiesel">biodiesel</a> while maintain 50% of diesel concentration. All ternary blends of diesel-biodiesel-higher alcohols were used in single <a href="https://www.sciencedirect.com/topics/engineering/engine-cylinders">cylinder engine</a> and the results were compared with binary blend of 50%–50% biodiesel, pure diesel and biodiesel. It was revealed that thermal efficiency of ternary blends was higher than biodiesel and in some cases it is closer to pure diesel. In contrary, <a href="https://www.sciencedirect.com/topics/engineering/specific-fuel-consumption">specific fuel consumption</a> is found to lower with increase in alcohol fractions in ternary blends. Moreover, hydrocarbon, smoke, <a href="https://www.sciencedirect.com/topics/engineering/carbon-monoxide">carbon monoxide</a> emissions from alcohol-infused fuel blends were observed to be lower than both biodiesel and pure diesel. Significant reduction in oxides of nitrogen (NOx) emissions was also observed by the addition of higher alcohols to the fuel blend when compared to biodiesel fuel. It is to be noted that decanol 40% addition with diesel and biodiesel blend has shown better results in emission characteristics. Furthermore, the <a href="https://www.sciencedirect.com/topics/engineering/heat-release-rate">heat release rate</a> and in-cylinder pressure for biodiesel were significantly lower compared to pure diesel fuels. However, addition of 40% decanol with fuel blend improved the heat release rate and in-cylinder pressure.

Department of Automotive Engineering

Energy

Comparative assessment of hexanol and decanol as oxygenated additives with calophyllum inophyllum biodiesel

Foot drop is a gait abnormality in which the dropping of the foot happens due to weakness., irritation or damage to the peroneal nerve or paralysis of the muscles. This condition is characterized by inability to raise the toe or raise the foot from the ankle (dorsiflexion). In this., the angle of the foot can be stabilized by lightweight orthosis., which acts as a support., intended to control the position and motion of the ankle. Another technique which can be used is Functional Electrical Stimulation (FES) that applies low energy electrical pulses to activate the nerve in the leg., causing the muscles to contract and produce a movement that can help in better mobility. The Ankle Foot Orthoses (AFOs) currently available in the market are rigid in structure hence causing discomfort to the patients. Thus., this paper proposes a novel idea of incorporating FES in a specially designed AFO which could provide comfort to the patient as well as a solution for the condition. © 2018 IEEE.

Department of Sensor and Biomedical Technology

School of Electronics Engineering

2018 3rd International Conference for Convergence in Technology (I2CT)

Development of fes Incorporated Ankle Foot Orthosis

Life cycle cost approach has emerged as an effective tool to assist designers at early design stage of a product in the product development process. It is necessary to estimate accurately the cost of the product for analysis of design alternatives. In this paper, an improved Artificial Neural Network approach (ANN) is proposed which combines a Genetic Algorithm (GA) with the back propagation neural network for accuracy in cost estimates. The connection weight of neuron is represented as chromosome to optimize in layers of network. The approach for estimation of product lifecycle cost has been validated with the cost data of regular sorted cardboard product from the literature. The result shows that the proposed improved ANN outperforms the traditional ANN. © Research India Publications.

International Journal of Applied Engineering Research

An improved artificial neural network approach for product life cycle cost estimation

In this study, a multi level reverse logistics network is developed for a single product. Reverse logistics is a logistic activity beginning from intake of products returned by customers to selling of remanufactured or new products in market; so, it is considered that reverse flow of used products is from various sources like customers, dealers, retailers, manufacturers, etc., to remanufacturer and followed by transportation to secondary market. Due to uncertainties, any traditional supply chain approach to identify potential manufacturing facilities in this situation cannot be employed. Hence, Genetic Algorithm (GA) is used for optimization and minimization of various costs involved in reverse logistics process. A sample numerical data is considered to test performance of the proposed model.

Department of Design and Automation

Fulltext

Research Journal of Applied Sciences, Engineering and Technology

Implementation of Genetic Algorithm in Network Modelling of Multi-level Reverse Logistics for Single Product

In the modern manufacturing environment, Cellular Manufacturing Systems (CMS) have gained greater importance in job shop or batch-type production to gain economic advantage similar to those of mass production. Successful implementation of CMS highly depends on the determination of part families; machine cells and minimizing inter cellular movement. This study considers machine component grouping problems namely inter-cellular movement and cell load variation by developing a mathematical model and optimizing the solution using Genetic Algorithm to arrive at a cell formation to minimize the inter-cellular movement and cell load variation. The results are presented with a numerical example.

Optimization of Inter Cellular Movement of Parts in Cellular Manufacturing System Using Genetic Algorithm

The costs incurred during production, use, and disposal is mostly committed by early design decisions. Product designers started giving due consideration to life cycle cost implications of their design decisions. In this paper we developed a product lifecycle cost estimation system which can able to find the product lifecycle cost especially at early design stage in order to provide lifecycle cost information of a product efficiently and effectively to support decision makings. This system is built using object-oriented programming and linked to user interface. It is used to help designers for detailed cost information when needed at any stage of product development process. Activity based costing method is used to estimate the lifecycle cost through cost drivers of the product. Researchers presented and proposed cost estimation methods for one stage like manufacturing not all stages of lifecycle, certain manufacturing processes, specific category of products like machine parts and injection moulded part. A case study from local company is considered to validate the system for successful implementation. It is compared with the result of the same case study using concurrent cost module of DFMA software.