i-manager's Journal on Material Science (JMS)


Volume 1 Issue 3 October - December 2013

Article

Composites from waste for civil engineering applications

M.K. Lila* , Fanindra Kumar**, Sanjay Sharma***
* Department of Mechanical & Industrial Engineering, IIT Roorkee, Roorkee.
**-*** Department of Civil engineering, NITTTR, Chandigarh.
Lila, M., Kumar, F., & Sharma, S. (2013). Composites from Waste for Civil Engineering Applications. i-manager's Journal on Material Science, 1(3), 1-11. https://doi.org/10.26634/jms.1.3.2558

Abstract

Composites are becoming more and more important as it can help in improving the quality of life. Now-a-days, composites are used in aeronautics, automobiles, boats, pipelines, buildings, roads, bridges, and dozens of other products. Researchers are finding ways to improve the qualities of composites so that they may be strong, lightweight, long-lasting, and inexpensive to produce. But the main factor which plays a major role in use of composites, is the cost of matrix and reinforcement. This paper provides information about easy availability of fibres, by-products and wastes from industries, technical properties and their potential for utilization in development and use of fibres’ composites materials in civil engineering field and construction industries. The matrix (Prime) material alone cannot achieve the good properties of composites. The focus is also kept in developing and making available, durable and reliable at reasonably minimum competitive price or cost.

 

Research Paper

Experimental Study of Electrical Discharge Machining of PS-M A-463 Plastic Material

Sameh Habib*
*Associate Professor, Department of Mechanical Engineering, Benha University, Shoubra, Cairo, Egypt
Habib, S. (2013). Experimental Study of Electrical Discharge Machining of PS-M A-463 Plastic Material. i-manager's Journal on Material Science, 1(3), 12-21. https://doi.org/10.26634/jms.1.3.2559

Abstract

Plastic materials have become the optimum choice for numerous industrial applications where the performance rather than cost is the prime consideration. The demand for the machining processes of plastics has recently increased. This work investigates the Electrical Discharge Machining (EDM) of PS-M A-463 plastic material with polystyrene base. The characteristics of PS-M A-463 plastic machined by EDM are studied in terms of machining parameters. Machining of plastics can be realized in EDM by assisting electrode method. In this method, the EDM workpiece surface is covered with an electrical conductive layer during discharge. The layer holds the electrical conductivity during discharging process. The workpiece surfaces were examined by Scanning Electron Microscopy (SEM). Moreover, surface roughness was determined with a Surface Profilometer. Experimental results indicate that the extent of delamination and surface roughness are proportional to the machining parameters. The EDM process effectively produces excellent surface characteristics and high quality holes in PS-M A-463 plastic material under low discharge energy conditions.

Research Paper

Experimental measures of surface roughness by investigate the effect of Process Parameters in Abrasive Flow Machining Process

Ravi Gupta* , Mohit Sharma**, Rahul O. Vaishya***
*-**Assistant Professor, Lovely Professional University, Punjab.
***Assistant Professor, PEC University of Technology, Punjab
Gupta, R., Sharma, M., & Vaishya, R. O. (2013). Experimental measures of surface roughness by investigate the effect of Process Parameters in Abrasive Flow Machining Process. i-manager's Journal on Material Science, 1(3), 22-28. https://doi.org/10.26634/jms.1.3.2560

Abstract

In the present era, modern manufacturing processes are hybridized with conventional and non-conventional processes to obtain better results. AFM is a widely used non conventional machining process for smoothening of rough edge inside the work piece by flow of an abrasive medium. The abrasive particles in abrasive media remove the excess material from surface and produce finished surface. Centrifugal force assisted abrasive flow machining process is a new hybrid non-traditional machining process that is developed as a technique for better finishing of surface as compared to simple AFM. In this study, an attempt was made to depict the effect of different process parameters on percentage change in roughness value. The parameters are type of material, abrasive particle size, rotational speed of rod inside the workpiece and axial pressure, to see their effect on percentage change in surface roughness. Taguchi technique was considered for experimental design without taking any interaction. The unit has been designed to satisfy the basic requirement of hybrid AFM i.e. by attaching a rod inside fixture by gear arrangement having rotational mechanism in set-up. For experimental design and analysis of different parameters, L orthogonal array based upon taguchi method 9 was used.

Research Paper

Optimization of process parameters on machining force and MRR in milling of GFRP composites using grey relational analysis

M.P. Jenarthanan* , N. Naresh**
* Senior Assistant Professor, School of Mechanical Engineering, SASTRA University, Thanjavur, India.
** Assistant Professor, Dept. of Mechanical Engg., N.B.K.R.I.S.T, Vidyanagar, Nellore, India.
Jenarthanan, M. P., & Neeli, N. (2013). Optimization of process parameters on machining force and MRR in milling of GFRP composites using grey relational analysis. i-manager's Journal on Material Science, 1(3), 29-36. https://doi.org/10.26634/jms.1.3.2561

Abstract

This paper investigates the effect and parametric optimization of process parameters for milling of GFRP (Glass Fiber Reinforced Polymer) composites using Grey Relational Analysis. Experiments were conducted using helix angle, spindle speed, feed rate, depth of cut and fibre orientation angle as typical process parameters. The grey relational analysis was adopted to obtain grey relational grade for milling process with multiple characteristics, namely Machining Force and Material Removal Rate (MRR). Analysis of variance (ANOVA) was performed to get the contribution of each parameter on the performance characteristics and it was observed that helix angle and fibre orientation angle were the most significant process parameters that affects the milling of GFRP composites. The experimental results reveal that, the helix o angle of 45 , spindle speed of 3000rpm, feed rate of 1000mm/min, depth of cut of 2mm and fibre orientation angle of o 15 is the optimum combination for lower machining force and higher material removal rate. The experimental results for the optimal setting show that there is considerable improvement in the process.

Research Paper

Application of Taguchi Method for Determining Optimum Process Parameters of PMEDM with SiC Powder Suspended in Dielectric

Deepak Rajendra Unune* , Amit Aherwar**, Bhargav Prajwal***, Jai Kishan****
*-**-***-**** Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur, India.
Unune, D. R., Aherwar, A., Prajwal, B., & Kishan, J. (2013). Application of Taguchi Method for Determining Optimum Process Parameters of PMEDM with SiC Powder Suspended in Dielectric. i-manager's Journal on Material Science, 1(3), 37-42. https://doi.org/10.26634/jms.1.3.2562

Abstract

Powder Mixed Electro-Discharge Machining (PMEDM) is being widely used in modern metal working industry for producing complex cavities in dies and moulds. It has been experimentally demonstrated that the presence of suspended particles in dielectric fluid significantly increases the machining efficiency of EDM process.In this paper, five parameters viz., concentration of silicon carbide (SiC) in dielectric fluid (Pc), peak current (Ip), gap voltage (Vg), pulse on C p g time (Ton) and duty cycle (η) were considered and varied to obtain optimal EDM performance characteristics including on Material Removal Rate (MMR) and surface roughness (Ra). Taguchi L8 orthogonal array was used for the design of the a experiment.The machining tests were conducted on AISI D3 tool steel work piece using copper electrodes and SiC mixed EDM dielectric-kerosene oil. Results of experiments show that concentration of SiCimproves MRR in PMEMD.