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Jayabal, S.
- Experimental and Statistical Analysis of Indoor Air Quality Characteristics in an Air Conditioned Car
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Authors
Affiliations
1 Deptt. of Mechanical Engg., Government College of Engineering, Bargur-635 104, T.N., IN
2 Deptt. of Mechanical Engg., Government College of Technology, Coimbatore- 641 013, T.N., IN
3 Deptt. of Mechanical Engg., Alagappa Chettiar College of Engineering and Technology, Karaikudi 630 004, T.N., IN
1 Deptt. of Mechanical Engg., Government College of Engineering, Bargur-635 104, T.N., IN
2 Deptt. of Mechanical Engg., Government College of Technology, Coimbatore- 641 013, T.N., IN
3 Deptt. of Mechanical Engg., Alagappa Chettiar College of Engineering and Technology, Karaikudi 630 004, T.N., IN
Source
Nature Environment and Pollution Technology, Vol 13, No 1 (2014), Pagination: 11-18Abstract
The present investigation was focused on the analysis of indoor air quality characteristics of an air conditioned car using statistical approach. The conditioned space was selected and the experiments were planned as per design of experiments to study the effect of human load, fresh air supply and air velocity on the human comfort conditions. The nonlinear regression models were developed to predict the comfort conditions namely temperature, CO2 level and relative humidity over a specified range of input conditions in this investigation.Keywords
Indoor Air Quality, Air Conditioned Car, Temperature, Relative Humidity, Carbon Dioxide.- Prediction of Drilling Responses in Fiber Reinforced Polyester Composites Using Fuzzy Logic
Abstract Views :165 |
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Authors
Affiliations
1 Dept. of Mechanical Engg., A C College of Engg. and Technology, Karaikudi, IN
2 Dept. of Mechanical Engg., Sri Ramanujar College of Engg., Kolapakkam, Chennai, IN
3 Dept. of Mechanical Engg., Annamalai Polytechnic College, Chettinad, IN
4 Central Manufacturing Technology Institute (CMTI), Bangalore, IN
1 Dept. of Mechanical Engg., A C College of Engg. and Technology, Karaikudi, IN
2 Dept. of Mechanical Engg., Sri Ramanujar College of Engg., Kolapakkam, Chennai, IN
3 Dept. of Mechanical Engg., Annamalai Polytechnic College, Chettinad, IN
4 Central Manufacturing Technology Institute (CMTI), Bangalore, IN
Source
Manufacturing Technology Today, Vol 12, No 4 (2013), Pagination: 5-13Abstract
The mechanical properties of synthetic glass and natural sisal fiber-reinforced polyester laminates were evaluated in this investigation. The drilling operations were performed in the fabricated synthetic and natural fiber composites using CNC milling machine with measuring set up. The effect of input parameters such as point angle, spindle speed and feed rate on the drilling responses namely delamination factor, temperature in the drilling zone and noise level during drilling were analyzed. A systematic fuzzy model was developed to predict the drilling responses for varying drilling conditions in glass-polyester and sisal-polyester composite laminates.Keywords
Fuzzy Logic, Polyester Resin, Delamination Factor, Temperature, Noise Level.- Modeling and Optimization of Mechanical Properties of Coir-Polyester Composites Using RSM & PSO Methods
Abstract Views :162 |
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Authors
Affiliations
1 Dhaanish Ahmed College of Engg, Chennai, IN
2 Mohamed Sathak Engg College, Kilakarai, IN
3 A. C. College of Engg and Technology, Karaikudi, IN
4 Central Manufacturing Technology Institute, Bangalore, IN
1 Dhaanish Ahmed College of Engg, Chennai, IN
2 Mohamed Sathak Engg College, Kilakarai, IN
3 A. C. College of Engg and Technology, Karaikudi, IN
4 Central Manufacturing Technology Institute, Bangalore, IN
Source
Manufacturing Technology Today, Vol 10, No 7 (2011), Pagination: 20-27Abstract
The tensile, flexural and impact properties of coir fiber-reinforced polyester composites for different levels of fabrication parameters were evaluated. The nonlinear regression models of tensile, flexural and impact properties were developed using Response Surface Methodology (RSM) approach and optimum fiber parameters were determined using Particle Swarm Optimization (PSO) technique in this investigation.Keywords
Mechanical Properties, Polyester Matrix, Response Surface Methodology, Particle Swarm Optimization.- Coir Fiber Reinforced Polyester Composites for Engineering Applications
Abstract Views :162 |
PDF Views:0
Authors
Affiliations
1 Dept. of Mechanical Engg., A. C. College of Engg. and Technology, Karaikudi, IN
2 Dept. of Mechanical Engg., Dhaanish Ahmed College of Engg., Chennai, IN
3 Dept. of Mechanical Engg., Sri Raaja Raajan College of Engg. and Technology, Karaikudi, IN
4 Central Manufacturing Technology Institute, Bangalore, IN
1 Dept. of Mechanical Engg., A. C. College of Engg. and Technology, Karaikudi, IN
2 Dept. of Mechanical Engg., Dhaanish Ahmed College of Engg., Chennai, IN
3 Dept. of Mechanical Engg., Sri Raaja Raajan College of Engg. and Technology, Karaikudi, IN
4 Central Manufacturing Technology Institute, Bangalore, IN