S. Prakash ¹, T. C. Chakravarthy ¹, G. R. Brindha ²

Affiliations
1 AVVM Sri Pushpam College, Poondi, Thanjavur, IN
2 School of Computing, SASTRA University, Thanjavur, IN

Abstract

Buying and selling patterns are required for business sector. The main objective of this paper is to propose new idea to understand the insights of data. We propose a model which is novel and provides preference based quantified summary in four dimensions with graphical display. The case analysis shows how the extracted, quantified information can be utilized by organizations to enhance any business and by the consumer to decide purchases.

Keywords

Reviews, Opinion Mining, Summarization, Quantification, Preference

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S. Prakash ¹, J. Lilly Mercy ², Kaushik Goswami ²

Affiliations
1 Mechanical Engineering, Sathyabama University, Chennai, IN
2 Department of Mechanical & Production Engineering, Sathyabama University, Chennai, IN

Abstract

Medium Density Fiberboard (MDF) is a type of hardboard which is made from wood fibers glued under heat and pressure. MDF are appropriate for the many exterior or interior industrial applications. Drilling is one of the most common and fundamental machining processes. It is most frequently performed in material removal and is used as a preliminary step for many operations, such as reaming, tapping and boring. Because of their importance in nearly all production operations, twist drills have been the subject of numerous investigations. This article aims to study the effects of the drilling parameters such as spindle speed, feed rate, and drill diameter (input parameters) used on the prediction of surface roughness (output response) on drilling MDF composite. The experiment was carried out by varying the drilling parameters and the output response surface roughness is modelled mathematically. The adequacy of the mathematical model is analyzed statistically using Analysis Of Variance (ANOVA) which gives a high degree of correlation between the input parameters and output response. It is evident that feed rate during drilling is the most influencing factor to surface roughness.

Keywords

Analysis of Variance (ANOVA), Drilling, Feed Rate, Surface Roughness

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Putti Venkata Siva Teja ¹, S. Prakash ², B. Narasimha Prasad ², Gowra Elijah ²

Affiliations
1 Department of Mechanical Engineering, Gudlavalleru Engineering College, Krishna - 521356, Andhra Pradesh, IN
2 Department of Mechanical and Production Engineering, Sathyabama University, Chennai - 600119, Tamil Nadu, IN

Abstract

Glass Fiber Reinforced Plastic (GFRP) composites which are having various applications in the fields of mechanical and electrical engineering, due to its excellent properties such as lighter weight, higher specific strength and high stiffness. Machining is an important process in manufacturing operations and drilling of holes in GFRP leads to drilling induced damage which is one of the important research areas. In the present study finite element analysis of drilling behavior of GFRP has been carried out in LS-DYNA solver. The results are compared with experimental work and found that the thrust force and torque determined by finite element analysis showed good results when compared with the experimental results

Keywords

Drilling, FEM Analysis, Glass Fiber Reinforced Plastic (GFRP), Thrust Force, Torque

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