Journal of Scientific & Industrial Research

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Total visitors: 6236 since 30-06-2011

VOLUME 70

NUMBER 7

JULY 2011

CONTENTS

Review

487

Bioregeneration of spent activated carbon: effect of physico-chemical parameters








Kaushik Nath, Mathurkumar S Bhakhar & Suresh Panchani

Microbial regeneration of spent activated carbon provides an efficient and economic biological treatment process employing synergic combination of adsorption and biodegradation. Extent of bioregeneration can be quantified using direct determination of substrate content on adsorbent, indirect measurement of substrate consumption by measuring carbon dioxide production and measurement of oxygen uptake. Bioregeneration is influenced by type of activation of carbon, porosity and particle size, microbial uptake rate, adsorbate concentration, contact time, and biodegradability of sorbed compounds. This paper reviews various aspects of bioregeneration of activated carbon with special reference to its various governing parameters.

Management & Information Technology

493

A numerical method for predicting depth of heat affected zone in EDM process for AISI H13 tool steel








M R Shabgard, M Seyedzavvar,
S Nadimi Bavil Oliaei & A Ivanov

This study presents a finite element model (FEM) to model temperature distribution for AISI H13 tool steel workpiece in electrical discharge machining (EDM) at different machining parameters (pulse current, pulse on-time, temperature-sensitive material properties, size of heat source, and material flushing efficiency). Scanning electron microscopy (SEM) with energy dispersive x-ray (EDX) and micro-hardness tests were used to validate accuracy of FEM predictions. Increasing pulse on-time leads to a higher depth of heat affected zone and increasing pulse current results in a slight decrease of depth of heat affected zone. There is a good agreement between experimental and numerical results.

500

Optimization of micro-EDM with multiple performance characteristics using Taguchi method and Grey relational analysis





N Natarajan & R M Arunachalam

This study presents optimization of multiple performance characteristics [material removal rate (MRR), tool wear rate (TWR), and overcut (OC)] in micro electrical discharge machining (micro-EDM) using Taguchi method and Grey relational analysis. Machining process parameters selected were pulse-on time, discharge current, and gap voltage. Based on ANOVA, pulse-on time is found the most significant factor, which affects micro-EDM process. Optimized process parameters simultaneously leading to a higher MRR, lower TWR, and lower OC are then verified through a confirmation experiment. Validation experiment shows an improved MRR (12.88%), TWR (14.57%) and OC (6.1%) when Taguchi method and grey relational analysis were used.

Management & Information Technology

506

Application of new niche genetic algorithm on electromagnetic system optimization





Zheng Li

In this paper, an improved niche genetic algorithm (NGA) is presented and applied to optimal design of motor electromagnetic system. NGA surmounts effectively the local convergence problem of standard genetic algorithm (GA). Sharing-between-population mechanism is proposed by means of using better factor of population, saving best result strategy and enhancing global and partial searching ability for earlier achievement of optimal solution. Compared with initial design, ultimate design can meet desired technical specifications, which proves feasibility and advantages of improved NGA.

513

Using ANN model to determine future waste characteristics in order to achieve specific waste management targets -case study of Serbia




Bojan Batini
ć, Srđan Vukmirović,
Goran Vujić, Nemanja Stanisavljević,
Dejan Ubavin & Goran Vukmirović

This study presents a waste management model using artificial neural networks to predict future waste quantity and composition in Serbia. Since Serbia represent transition country, and in process of joining EU, for decision makers in the field of waste management, obtained information will be of great importance to develop appropriate waste management system and to achieve specific targets of waste management according national and EU Directives by 2026.

S & T and Industrial Research

519

Design and development of precision force transducers






Harish Kumar, Chitra Sharma & Anil Kumar

This paper presents design and development of precision ring shaped force transducers (FTs) based on theories of thin elastic rings for uniaxial forces in compression and tension mode (capacity 20 kN and 50 kN). FTs are found to have uncertainty of measurement better than 0.025% (k = 2) including relative deviations due to repeatability error, reproducibility error, zero error, resolution error, interpolation error and uncertainty of measurement of force applied. FTs qualify class 00 per the standard ISO 376-2004 and may be used as force transfer standards.

525

Studies on microbial activity and dyeing performance of novel acid azo dyes based on 3-(4-aminophenyl)-2-phenylquinazolin-4(3h)-one


Nikhil Parekh, Kalpana Maheria &
Pratik Patel

This study presents synthesis of novel mono azo acid (MAA) dyes by diazotization of 3-(4-aminophenyl)-2-phenylquinazolin-4(3H)-one followed by coupling with naphthalene based acid components. All dyes gave moderate to very good fastness properties on each fiber. MAA showed good antifungal activity against Candida albicans.

533

Determination of saponin contents in raw soybean and fermented soybean foods of India




Yohei Omizu, Chigen Tsukamoto,
Rajen Chettri & Jyoti Prakash Tamang

Saponin composition and contents in seeds of raw dry soybean and fermented soybean foods of India (kinema, bekang and tungrymbai) were investigated by liquid chromatography-tandem mass spectrometry analysis. Saponin contents were found as follows: raw soybeans, 401.846.8 - 686.933.9; seed hypocotyls, 2118.5160.7 - 9049.3788.6; seed cotyledon, 226.55.0 - 508.319.2; and fermented soybean foods, 243.425.8 - 590.329.0 mg/100g.

Energy and Environment

539

Studies on performance and emission characteristics of multicylinder diesel engine using hybrid fuel blends as fuel






R Subramanian, G Rajendiran,
R Venkatachalam, N Nedunchezhian &
K Mayilsamy

This study compared performance and emission characteristics of hybrid fuel blend [diesel-ethanol (anhydrous)-biodiesel (methyl esters of pungamia oil)] with diesel in a multi cylinder, naturally aspirated, direct injection diesel engine. Brake thermal efficiency of engine operated with hybrid fuel blends is found to be slightly higher than that of diesel fuel. Smoke and oxides of nitrogen (NOx) are found to be reduced simultaneously, while using hybrid fuel blends as fuel. Hydrocarbon (HC) emission is higher than diesel fuel for 10% ethanol addition, however when percentage of pungamia methyl ester (PME) increases in blends, HC emission is reduced.

544

Performance improvement of a simple gas turbine cycle through integration of inlet air evaporative cooling and steam injection







Shyam Agarwal, S S Kachhwaha &
R S Mishra

Among many available retrofitting technologies to improve power generation capacity and efficiency of simple cycle gas turbine, inlet air cooling (IAC) and steam injection gas turbine (STIG) are considered most effective ways to modify an existing simple cycle unit. In this study, a simple cycle generation unit is considered as base unit and STIG and IAC features are sequentially retrofitted to the system. Retrofitting of simple cycle combined with IAC and STIG has been found to boost power output from 30 MW to 48.25 MW, while generation efficiency can be increased from 29.9% to 33.4%. Exergy destruction rate per MW of power output reduces for combustion chamber, compressor and HRSG, while increases for gas turbine for retrofitted cycles.

Waste Treatment and Utilization

554

Optimization of durian peel based activated carbon preparation conditions for ammoniacal nitrogen removal from semi-aerobic landfill leachate




Mohamad Anuar Kamaruddin,
Mohd Suffian Yusoff & Mohd Azmier Ahmad

This study presents optimal conditions for preparation of durian peel based activated carbon (DPAC) for removal of ammoniacal nitrogen (NH3-N) from semi-aerobic landfill leachate. DPAC was prepared using chemical activation method which consisted of phosphoric acid (H3PO4) treatment and nitrogen gasification. Optimum conditions for DPAC preparation (activation temperature, 400 C; activation time, 2.27 h; and IR, 3) resulted in DPAC yield (21.02%) of and NH3-N removal (46.49%).

Author-Reader Platform

561

Instructions to contributors

 

 

 


Author Index


Agarwal S

544

Ahmad M A

554

Arunachalam R M

500

 

 

Batinić B

513

Bhakhar M S

487

 

 

Chettri R

533

 

 

Ivanov A

493

 

 

Kachhwaha S S

544

Kamaruddin M A

554

Kumar A

519

Kumar H

519

 

 

Li Z

506

 

 

Maheria K

525

Mayilsamy K

539

Mishra R S

544

 

 

Natarajan N

500

Nath K

487

Nedunchezhian N

539

 

 

Oliaei S N B

493

Omizu Y

533

 

 

Panchani S

487

Parekh N

525

Patel P

525

 

 

Rajendiran G

539

 

 

Seyedzavvar M

493

Shabgard M R

493

Sharma C

519

Stanisavljević N

513

Subramanian R

539

 

 

Tamang J P

533

Tsukamoto C

533

 

 

Ubavin D

513

 

 

Venkatachalam R

539

Vujić G

513

Vukmirović G

513

Vukmirović S

513

 

 

Yusoff M S

554


Keyword Index


Acid dyes

525

Activated carbon

487

Adsorption

487

Ammoniacal nitrogen (NH3-N)

554

Antimicrobial activity

525

 

 

Bekang

533

Biodegradation

487

Bioregeneration

487

 

 

Durian peel

554

Dyeing

525

 

 

Electrical discharge machining (EDM)

493

Electromagnetic system

506

Emissions

539

Ethanol

539

Exergy destruction

544

 

 

Fastness properties

525

Fermented soybeans

533

Finite element method

519

Finite Element Model (FEM)

493

Force

519

Forecasting

513

 

 

Gas turbine

544

Genetic algorithm (GA)

506

Grey relational analysis

500

 

 

Heat affected zone

493

Hybrid fuel

539

Inlet air cooling (IAC)

544

 

 

 

Karanja oil

539

Kinema

533

 

 

Landfill

554

Leachate

554

 

 

Measurement

519

Micro-EDM

500

Multiple performance characteristics

500

 

 

Neural networks

513

Niche genetic algorithm (NGA)

506

 

 

Optimization

506, 554

 

 

Performance

539

 

 

Quinazolinone

525

 

 

Raw soybeans

533

Retrofitting

544

 

 

Saponin

533

Steam injection gas turbine (STIG)

544

Strain

519

Stress

519

 

 

Taguchi method

500

Tungrymbai

533

 

 

Waste quantity and composition

513