|
VOLUME 13 CODEN : IEMSEW |
NUMBER 6 |
DECEMBER
2006 ISSN : 0971-4588 |
CONTENTS
|
Engineering |
|
|
Pressure
drop for the flow of high concentration solid-liquid mixture across 90° horizontal conventional
circular pipe bend |
477 |
|
|
|
|
[IPC Code: G01F 1/34] |
|
|
Multi-response
optimization in drilling using Taguchi’s quality loss function |
484 |
|
|
|
|
[IPC Code: B23B] |
|
|
Susceptibility
of planetary gear trains to clearances and misalignments |
489 |
|
|
|
|
[IPC Code: B23Q 5/00, F16H] |
|
|
Optimization of wire electrical discharge machining (WEDM) process
parameters using genetic algorithm |
494 |
|
|
|
|
[IPC Code: B23H 1/00] |
|
|
Optimized
column design using genetic algorithm based neural networks |
503 |
|
|
|
|
[IPC Code: E04C 3/30, G06N 3/02] |
|
|
Performance
of cement modified dense graded cold-mix asphalt and establishing
mathematical model |
512 |
|
|
|
|
[IPC Code: C08L 95/00] |
|
|
Materials Science
|
|
|
Strength
criterion of unidirectional composite |
520 |
|
|
|
|
[IPC Code: G01N 3/00] |
|
|
Glycine-nitrates
combustion synthesis and properties of nano-sized Ce1-xGdxO2-d solid solution for solid
oxide fuel cell view point |
525 |
|
|
|
|
[IPC Code: H01M 8/10] |
|
|
A
structural study of copper-43at% cadmium alloy |
531 |
|
|
|
|
[IPC Code: C22C 20/00] |
|
|
Friction
and slide wear characteristics of glass-epoxy and glass-epoxy filled with
SiCp composites |
535 |
|
B
Suresha, G Chandramohan, P R Sadananda Rao, P Sampathkumaran, |
|
|
[IPC Code: C03C 14/00, G01N 19/02] |
|
|
New pathway
for quick estimation of gas phase heat of formation of non-aromatic energetic
compounds |
542 |
|
|
|
|
[IPC Code: C07G] |
|
|
Response of
thin film Al2O3 optical waveguide to moisture in paper |
549 |
|
|
|
|
[IPC Code: H01F 17/075] |
|
|
Acknowledgement
|
552 |
|
Annual
Index |
556 |
|
Author Index |
556 |
|
Subject Index ____________ |
558 |
|
IPC: International Patent
Classification |
|
|
Int. Cl.8: International Classification
8th edition, 2006 |
|
AUTHOR INDEX
Acharya S A 525
Achyutha B T 484
Aksoy Atakan 512
Babu B Ramesh 503
Bhoga S S 525
Celik Fazil 512
Chandramohan G 535
Gaitonde V N 484
Karnik S R 484
Keshavarz M H 542
Mahapatra
S S 494
Oruc Seref 512
Patnaik
Amar 494
Pouretedal H R 542
Puri R K 549
Puri Vijaya 549
Rao H Sudarsana 503
Rao A C 489
Rao P R Sadananda 535
Rao V Venkateswara 531
Sampathkumaran P 535
Seetharamu S 535
Semnani A 542
Seshadri V 477
Siddeswarappa B 484
Singh K 525
Singh S N 477
Srinath A 489
Suresha B 535
Tehrani M Kavosh 542
Venkateswarlu Vartha 535
Verma Abhai Kumar 477
Ziliukas A 520
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 477-483
Pressure drop for the flow of high concentration solid-liquid mixture across 90° horizontal conventional circular pipe bend
Abhai Kumar Verma, S N Singh & V Seshadri
Pressure drop across a 90° horizontal bend for fly ash slurry at high concentrations is reported in the present study. The pressure drop across the bend has been measured at five concentrations in the range of 50-65% (by weight) and the data has been analyzed to obtain the relative pressure drop, bend loss coefficient and permanent pressure loss. Measurements show that the relative pressure drop across the pipe bends increases with increase in concentration at low velocity. However, at any given concentration relative pressure drop is independent of velocity over the range tested. The bend loss coefficient at any velocity increases with increase in concentration. The permanent pressure loss increases marginally with concentration and velocity. The contribution of disturbed flow conditions downstream of the bend to the total pressure loss is much less in the case of highly concentrated slurries as compared to that in water.
IPC Code: G01F 1/34
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 484-488
Multi-response optimization in drilling using Taguchi’s quality loss function
V N Gaitonde, S R Karnik, B T Achyutha & B
Siddeswarappa
The exit burr formation in drilling is influenced by cutting conditions and drill geometry. This paper presents the application of Taguchi’s analysis for simultaneous minimization of burr height and burr thickness. The approach of Taguchi design for multi-response optimization problem is based on loss function of the quality characteristics. In the present investigation, optimal values of cutting speed, feed, point angle and lip clearance angle are determined to minimize burr height and burr thickness during drilling. The potential of the proposed methodology is demonstrated through a case study of drilling process using AISI 316L stainless steel workpieces.
IPC Code: B23B
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 489-493
Susceptibility of planetary gear trains to clearances and misalignments
A Srinath & A C Rao
Clearances and misalignments alter the performance of kinematic chains and gear trains. Errors are usually classified as position error and transmission error, position error is the error in angular position with respect to the ideal position. Backlashes in gear trains and joint clearances in linkages produce position error while the transmission error is caused by the misalignment. The gear trains may have self-locking tendencies (similar to singular positions in linkages). There are a huge number of distinct linkages and planetary gear trains with specified number of links and degree-of-freedom. Hence, it is necessary to compare them in order to select the best possible chains or gear trains. An attempt is made to compare distinct gear trains from the view points of position and transmission errors.
IPC Code: B23Q5/00, F16H
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 494-502
Optimization of wire electrical discharge machining (WEDM) process parameters using genetic algorithm
S S Mahapatra & Amar Patnaik
Wire electrical discharge machining (WEDM) is a special form of traditional electrical discharge machining in which the electrode is a continuously moving conducting wire. The mechanism of metal removal in wire electrical discharge machining involves the complex erosion effect from electric sparks generated by a pulsating direct current power supply. The sparks generated between two closely spaced electrodes are immersed in dielectric liquid. However, dimensional accuracy and surface finish largely depend on process parameters such as discharge current, pulse duration, pulse frequency, wire speed, wire tension and dielectric flow rate. An experimental study has been carried out on a Robofil 100 WEDM machine to identify various significant control factors and their interactions that affect the machining performance such as metal removal rate (MRR) and surface finish (SF) based on Taguchi method. The relationship between control factors and responses like MRR and SF are established by means of non-linear regression analysis resulting in a valid mathematical model. Finally, genetic algorithm, a popular evolutionary approach, is used to optimize the wire electrical discharge machining process with multiple objectives. The study demonstrates that the WEDM process parameters can be adjusted to achieve better metal removal rate and surface finish simultaneously.
IPC Code: B23H 1/00
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 503-511
Optimized column design using genetic algorithm based neural networks
H Sudarsana Rao & B Ramesh Babu
In the structural design of columns, the dimensions of the column and reinforcement are initially assumed and then the interaction formula is used to verify the suitability of chosen dimensions and reinforcement. This approach necessitates few trials for coming up with an economical and safe design. This paper demonstrates the applicability of artificial neural networks (ANN) and genetic algorithms (GA) for the design of short columns under biaxial bending. A hybrid neural network model that combines the features of feed forward neural networks and genetic algorithms has been developed for the design of short column subjected to biaxial bending. The network has been trained with design data obtained from design experts in the field. The hybrid neural network model learned the design of column in just 1800 training cycles. After successful learning, the model predicted the percentage of steel required for new problems with good accuracy satisfying all design constraints. The results of the hybrid network model are compared with the solution of an optimizer, which uses the interior penalty function method. The various stages involved in the development of genetic algorithm based neural network model are addressed.
IPC Code:E04C3/30, G06N3/02
Indian Journal of Engineering & Materials Sciences
Vol. 13, December 2006, pp. 512-519
Performance of cement modified dense graded cold-mix asphalt and establishing mathematical model
Seref Oruc, Fazil Celik & Atakan Aksoy
Cold-mix asphalts have several advantages regarding economical, ecological and logistical aspects over hot-mix asphalts. But, cold-mix asphalts have poor performance and are deteriorated in case of additional external water entrance before mixture curing is completed. This study has been focused on to solve these problems and present an alternative to hot mixtures. Cold-mix asphalt specimens with dense graded aggregate were prepared according to Marshall method for emulsified asphalt-aggregate cold mixture design. Portland cement has been substituted for mineral filler in an increased percent, from 0% to 6%. Cold-mix asphalt specimens have been prepared with 4.2%, 5.2% and 6.2% of residual asphalt contents. Indirect tensile test, static and repeated load asphalt creep tests, and water damage test have been performed on the specimens. In addition to these tests, the moisture losses of specimens that took place in time are also measured. Based on the experimental work, it has been concluded that dense graded cement modified emulsion mixtures are of great performance compared to hot mixtures with the same aggregate grading and bitumen content. A mathematical model has also been developed for determining the resilient modulus of cold-mix asphalt.
IPC Code: C08L95/00
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 520-524
Strength criterion of unidirectional composite
A Ziliukas
A large number of experimental data is required to assess the strength of composite materials in respect to their anisotropy level and impact of complex stressed state, especially when the values of this parameter are defined in different directions. In this study, an attempt has been made to reduce the number of testing methods for plain composite elements. The later simplification follows from the theoretical interpretation of stress tensor.
IPC Code: G01N3/00
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 525-530
Glycine-nitrates combustion synthesis and properties of nano-sized Ce1-xGdxO2-d solid solution for solid oxide fuel cell viewpoint
K Singh, S A Acharya & S S Bhoga
Nanocrystalline gadolinium-doped ceria powders for solid electrolytes have been successfully prepared via glycine nitrate combustion synthesis and characterized by TGA/DTA, XRD and SEM. Using these powders; highly dense ceramics have been prepared by sintering at 1100°C which is much lower temperature than 1600°C usually required for ceria solid electrolytes prepared by conventional ceramic technique. The effect of compositions on structure and conductivity has also been studied.
IPC Code: H01M8/10
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 531-534
A structural study of copper-43at% cadmium alloy
V Venkateswara Rao
A Cu-43at%Cd alloy was solidified at different cooling rates ranging from 100 to 106 K/s. For rapid solidification, (cooling rate ~106 K/s), a modified gun splat cooling technique was employed. Metastable crystalline and amorphous phases were obtained. Solid-state transformation of the alloy into equilibrium Cu4Cd3 was accelerated on increasing the cooling rate.
IPC Code: C22C20/00
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 535-541
Friction and slide wear characteristics of glass-epoxy and glass-epoxy filled with SiCp composites
B Suresha, G Chandramohan, P R Sadananda Rao, P Sampathkumaran,
S Seetharamu & Vartha Venkateswarlu
This paper highlights the friction and wear behaviour of glass-epoxy (G-E) composites with and without silicon carbide particles (SiCp) filler content as a function of sliding distance, keeping the sliding velocity and applied load constant. It is seen that the wear rate increases with increasing sliding distance, but the gradient is not maintained the same all through. An attempt has also been made to correlate the wear loss of the worn surfaces using scanning electron microscopic (SEM) observations. The coefficient of friction is found to be almost same over a wide range of sliding distance employed. Further, the study indicates that the SiCp-G-E composites show lower coefficient of friction and lower slide wear loss compared to G-E composites irrespective of the sliding distance employed. It is found that during the running in wear, the wear of the resin mix as well as very few broken fibers are noticed. The breakage of fibers, the matrix debris formation and interface separation take place at a much later stage (i.e., in the severe wear region). In the steady state region some of the broken fibers are getting disoriented in the matrix and also agglomerations of the debris are seen. Other interesting SEM features have been noticed and discussed taking into account the addition of SiCp filler content (2.5 and 5.0 wt. %).
IPC Code: C03C 14/00, G01N 19/02
Indian Journal of Engineering & Materials Sciences
Vol. 13, December 2006, pp. 542-548
New pathway for quick estimation
of gas phase heat of formation of
non-aromatic energetic compounds
M H Keshavarz, M Kavosh Tehrani, H
R Pouretedal & A Semnani
A new theoretical approach is presented for calculation of gas phase heats of formation of non-aromatic energetic compounds. It is based on elemental composition and various functional groups of CaHbNcOd non-aromatic energetic compounds. Gas phase heats of formation for 85 non-aromatic energetic compounds are compared with experimental data as well as semi-empirical quantum mechanical PM3 prediction. Root mean square (rms) of deviation for some of them, where experimental data are available, shows 5.1 and 6.7 kcal/mol for new and semi-empirical quantum mechanical PM3 methods respectively.
IPC Code: C07G
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 549-551
Response of thin film Al2O3 optical waveguide to moisture in paper
R K Puri &Vijaya Puri
The response to paper moisture of thin film Al2O3 optical waveguide has been studied. The changes in the transmission of thin film optical waveguide due to changes in relative humidity of paper used as in touch overlay have been reported in this paper. The output decreases due to the overlay of paper. The transmission of the waveguide depends on the moisture content, texture and colour of the paper. Higher moisture content in paper tends to saturate the waveguide output. The sensitivity to moisture changes and type of paper is more for lower moisture content. Hysteresis is observed due to all the papers studied. The larger sensitivity in the lower moisture range may provide a means for detecting and controlling moisture in paper for packing, printing and other applications, as this overlay method requires only a small piece of paper.
IPC Code: H01F 17/075
Indian Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 552-555
Acknowledgement
to Reviewers
The
Publisher and the Editor of Indian Journal of Engineering &
Materials Sciences gratefully acknowledge the honorary services
rendered by the following experts in reviewing the papers during 2006.
Abrate Serge
Southern Illinois Univ, USA
Adhikary B B
Encotech Eng Const, Austin,
USA
Agarwal S K
CBRI, Roorkee
Agnihotri S A
NPL, New Delhi
Aiyer R C
Univ Pune, Pune
Aldridge Laurie
Univ New South Wales,
Australia
Aminabhavi T M
Karnataka Univ, Dharwad
Ananthakumar S
RRL, Trivandrum
Arakeri J H
IISc, Bangalore
Armand P
LPMC, France
Asako Yutaka
Japan
Asavapisit Suwimol
KMUT, Bangkok, Tailand
Ayala J
Independencia, Oviedo, Spain
Babu Daneti Saradhi
Nat Univ Singapore, Singapore
Bajpai A K
Govt Autonomous Sci College,
Jabalpur
Balamurugan V
CVRDE, Chennai
Bandyopadhyay T K
IIT, Kharagpur
Barbarella G
Inst Nanostructure &
Mater Sci, Italy
Bartwal K S
CAT, Indore
Batra I S
BARC, Mumbai
Belyakov A
Nat Inst Mater Sci, Ibaraki,
Japan
Bera J
NIT, Rourkela
Beretta A
EPFL, Switzerland
Bersee H E N
Delft Univ Technol, Netherlands
Bhaduri A K
IGCAR, Kalpakkam
Bhattacharya
S S
IIT, Chennai
Bhattacharya A
IIGM, Navi Mumbai
Bhoumik Anil K
IIT, Kharagpur
Bhowmik S K
NAL, Bagalore
Biswas Gautam
IIT, Kanpur
Botelho E C
AMR Inst Aeronaut,Acacias,
Brazil
Bouzouba N
ICON, Ottawa, Canada
Buddhi D
Devi Ahilia Univ, Indore
Buskiewicz Jacek
Poznan Univ Technol, Poland
Carvalho E A
LAMAV, Brazil
Cavatorta Maria
Plitecnico Torino, Italy
Chakraborti P C
Jadavpur Univ, Kolkata
Chand Satish
MNNIT, Allahabad
Chandvankar S S
TIFR, Mumbai
Chavez-Valencia L E
Univ Michoacana, Mexico
Chindaprasirt P
Khon Kaem Univ, Thailand
Cho Hae Yong
Chungbuk Univ, South Korea
Choudhury S K
IIT, Kanpur
Chowdhury Nirmalya
Jadavpur Univ, Kolkata
Cleghorn W L
Univ Toronto, Canada
Cortes C A
Univ SanJuanArgentina
Creese Robert
USA
Das Animesh
IIT, Kanpur
Das S
RRl, Bhopal
Date P P
IIT, Mumbai
Date S K
NCL, Pune
Daxner T
Vienna Univ Technol, Austria
De A
IIT, Mumbai
Debnath R
CGCRI, Kolkata
Demirboga Ramazan
Ataturk Univ, Turkey
Dharmaprakash S M
Mangalore Univ, Mangalagangotri
Dhingra
IIT, Mumbai
Dixon David A
PNNL, Richland, USA
Djelal C
LAMN Univ Artois, France
Dube D C
IIT, New Delhi
Dubey R K
IIT, Kanpur
Dutta S C
Bengal Eng College, Howrah
Dutta T K
IIT, New Delhi
Ekekwe Ndubuisi
Johns Hopkins Univ, USA
El-Ariss Bilal
UAE Univ, UAE
Enzner Gerald
Aachen Univ (RWTH), Germany
Fang J C
H Q Univ, China
Fatemi A
Univ Toledo, OH, USA
Feng Zhe Chuan
NTU, Taiwan
Feng Zhe Chuang
NTU, Taiwan
Ferraris Chiara F
NIST, Gaithersburg, USA
Frias Moises
Eduardo Torroja Inst, Spain
Fukuyo
Japan
Gaitonde U N
IIT, Mumbai
George P M
B M V Eng College,
Vallabh Vidyanagar
Ghosh Choudhury S
NML, Jamshedpur
Godkhindi M M
IIT, Kharagpur
Gogu Grogore
Univ Blaise Pascal, France
Govindaram H S
IISc, Bangalore
Gu Dong dong
Nanjing Univ A & A,China
Guerrero A
Inst Contruct Sci, Madrid,
Spain
Gupta R K
VSSC, Trivandrum
Gupta R S
Delhi University, New Delhi
Gurung N
Queen’s land Univ Technol,
Australia
Harsh
SSPL, New Delhi
Hemant Joel
SIT, Tumkur
Hiskey Michael
Los Alamos National Lab, USA
Hogberg J L
Univ Skovde, Sweden
Hossain K M
Ryenson UnivToronto, Canada
Houda-Imane Faraoun
LERMPS-UTBM, Belfort, France
Hsieh Hsin-Heng
Univ Heights, USA
Huang Baoshan
Univ Tennessee, USA
Huang Hong-Yi
Fu-Jen Catholic Univ, Taiwan
Irassar E F
Nat Univ Ctr Buenos,
Argentina
Jain Kiran
NPL, New Delhi
Jangid R S
IIT, Mumbai
Jayadevan K
Govt Eng College, Thrissur
Jayaraj S
NIT, Calicut
Jeannes Regine Le Bouquin
Univ Rennes1, France
Jha A K
VSSC, Trivandrum
Jiang Q C
Jilin Univ, Changchun, China
Joo Oh-Shim
KIST, Seoul, Korea
Kale S R
IIT, New Delhi
Kalsi P C
BARC, Mumbai
Kanchan D K
M S Univ Baroda, Vadodara
Kang H T
Univ of Michgan, USA
Kayali O
Univ New South Wales,
Australia
Kewalramani Manish A
BITS, Pilani
Khanna V K
CEERI, Pilani
Kienckle Uwe
Univ Karlsruhe, Germany
Kim Ill-Soo
MOKPO Nat Univ, Korea
Kim Ji-Hwan
Seoul Nat Univ, Korea
Kim Min-Su
ETRI, Korea
Kim Moon Kyun
Yonsei Univ, Seoul, Korea
Kim Yong-Bin
Northeastern Univ, Boston,
USA
Kornev Nikolai
ITT, Germany
Koshy Peter
RRL, Trivandrum
Kovler K
Israel Inst Technol, Haifa,
Israel
Krishnamurthy R
IIT, Chennai
Krishnan V V
IIT, New Delhi
Kristiansson Birgitta
Charlmers Univ Technol,
Sweden
Kumar N
Defence Lab, Jodhpur
Kumar Pradeep
IIT, Roorkee
Kumar Santosh
IT, BHU, Varanasi
Kumar Vikram
NPL, New Delhi
Kushwaha Angad
CMRI, Dhanbad
Lahiri Sushant
Saha Inst Nucl Phys, Kolkata
Lampke Thomas
Chemnitz Univ Technol,
Germany
Lane D W
Canfields Univ, UK
Lauwerys Christophe
Belgium
Lee Sun-Young
Korea Forest Res Inst, Korea
Lee Yong kook
Yonsei Univ, Seoul, Korea
Leluzzi Michele
Italy
Lemos
J V
LNEC, Portugal
Li Qingbin
Tsinghua Univ, China
Li Shi-Rong
Lanzhou Univ Technol, China
Li Yong-Dong
Acad Armed Force Eng, China
Lis J
Czestochowa Univ Technol,
Poland
Maity D
IIT, Guwahati
Majumdar B C
IIT, Kharagpur
Majumdar J Dutta
IIT, Kharagpur
Malik A K
IIT, Kanpur
Mallick Amitava Basu
BESU, Howrah
Mandal R K
IT, BHU, Varanasi
Manso Juan M
Univ Burgos, Spain
Martini C
Univ Bologna, Germany
Martins P A F
IST, Lisboa, Portugal
Masson J F
NRC, Ottawa, Canada
Mishra Ratikanta
BARC, Mumbai
Modak J P
Pridarshini Eng College,
Nagpur
Mohanty A R
IIT, Kharagpur
Moriconi G
Marche Polytech Univ , Italy
Mukhopadhyay R
HASTERI, Jaykaygram, Kankroli
Mundo D
Univ Calaleria, Italy
Murlikrishnan J
IIT, Chennai
Murugan N
CIT, Coimbatore
Naik N K
IIT, Mumbai
Nanda P K
CRRI, New Delhi
Narayan B S
BARC, Mumbai
Narayanadass Sa K
Bharthiar Univ, Coimbatore
Narula A K
GGS IP Univ, Delhi
Nath T K
IIT, Kharagpur
Nayak S K
CIPET, Bhuneswar
Neema S K
R D Univ, Jabalpur
Neetanegam M
SERC, Chennai
Okamoto Arsuchi
Fuzi, Japan
Olejniczak I
Polish Acad Sci, Poland
Olthoff James
NIST, Gaithersburg, USA
Paasch Gernot
IFW Dresden, Germany
Palaniswamy N
CECRI, Karaikudi
Paul S
IIT, Kharagpur
Peng Gai-fei
Beijing Univ, China
Peng Jie
Tsinghua Univ, China
Peng Linfa
Shanghai Jiaotong Univ, China
Persson Bertil
Lund Inst Technol, Sweden
Pillai K T
BARC, Mumbai
Pillai R M
RRL, Trivandrum
Poon C S
Hong Kong Polytech Univ, Hong
Kong
Prabhakaran K
Naval Mater Res Lab, Thane
Pratihar D
IIT, Kharagpur
Prikhodko Sergey V
Univ California, USA
Puig Domenec
Rovirai Virgili Univ, Spain
Qiu Hua
Kyushu Sangyo Univ, Japan
Radhakrishnan J K
SSPL, Delhi
Raghuprakash
IIT, Chennai
Rai Amit
BMTPC, New Delhi
Rai S B
BHU, Varanasi
Rajasekaran S
PSG College Technol,
Coimbatore
Rajot Jose
Inst Polytech, Lorraine,
France
Ramachandramurthy D S
SERC, Channai
Ramakrishna G
Pondicherry Eng College,
Pondicherry
Ramamoorthy B
IIT, Chennai
Ramamurthy K
IIT, Chennai
Ramamurthy T S
IISc, Bangalore
Ramchandra Rao K
IIT, New Delhi
Ramkumar J
IIT, Kanpur
Rane K S
Goa Univ, Goa
Ranjan Rajiv
IT, BHU, Varanasi
Rao A C
SSIT, Sathupally
Rao B Parvatheeswara
Andhra Univ, Visakhspatnam
Rao R V
IWST, Bangalore
Reddy Y P
S V Univ, Tirupati
Ren Wei-Xin
Fijan Univ, China
Ren Wei-Xin
Fuzhou Univ, China
Ribeiro Sebastiao
DEMAR, QUIL, Brazil
Rubio-Zuazo J
CRG, France
Sahasrabudhe A D
IIT, Guwahati
Salame C
Delft Univ Technol,
Netherlands
Samuel G L
IIT, Chennai
Sangwal K S
Technical Univ Lublin, Poland
Santos D B
Federal Univ Minas, Brazil
Sathyamoorthy R
KASC, Coimbatore
Scalabrin G
Univ Padova, Italy
Sebastian M T
RRL, Trivandrum
Sekhon S S
GNDU, Amritsar
Shaikh A M
Shivaji Univ, Kolhapur
Shan H S
IIT, Roorkee
Shih P Y
Nat United Univ, Taiwan
Shukla S R
UICT, Mumbai
Shukla Vivek K
IIT, Kanpur
Sikdar P K
CRRI, New Delhi
Sikder A K
HEMRL, Pune
Simon George P
Monash Univ, Australia
Singh D D N
NML, Jamshedpur
Singh D D
IIT, Chennai
Singh D N
IIT, Mumbai
Singh Gurdip
DDU Gorakhpur Univ, Gorakhpur
Singh R A
BHU, Varanasi
Singh R N
SPRERI, Vallabh Vidyanagar
Sivaram S
NCL, Pune
Sonebi M
Queen’s Univ, Belfast, UK
Song Ha-Won
Yonsei Univ, Seoul, Korea
Sood V K
CRRI, New Delhi
Srinivasan P Bala
NIT, Tituchirappalli
Srivastava A K
NPL, New Delhi
Srivastava Biplav
IIT, New Delhi
Subbarao Chillara
IIT, Kharagpur
Subramaniun B
CECRI, Karaikudi
Sullivan P
Univ Toronto, Canada
Sundrarajan G
IACPM & NM, Hyderabad
Talawar M B
HEMRL, Pune
Tangsrirat Worapong
KMITL, Bangkok, Thailand
Terzi Serdal
Suleyman Demirel Univ, Turkey
Tikku A C
BARC, Mumbai
Topku I B
Osmangazi Univ,Turkey
Torgal F P
CBPI,Portugal
Troyani Nando
Univ Oriente, Venezuela
Tsai Mi-Ching
Nat Cheng Kung Univ, Taiwan
Tsuboi Taiju
Kyoto Sangyo Univ, Japan
Tu J P
Zhejiang Univ, China
Tulapukara E G
IIT, Chennai
Varma I K
IIT, New Delhi
Vazquez Jose
Univ Cadiz, Spain
Vengadesan S
IIT, Chennai
Venkateswaran G
BARC, Mumbai
Visioli Antonio
Univ Brescia, Italy
Vyazovkin Sergey
Univ Alabama, Birmingham, USA
Wang Simon
Loughborough Univ, UK
Whittles D M
Univ Nottingham, UK
Wu Long-Iong
Nat Tsing Huo Univ,Taiwan
Wu S K
National Taiwan Univ, Taiwan
Xiao Fu-Ren
Yanshan Univ, China
Xie De
Alpha Star Corp., CA, USA
You L H
Chongqing Univ, China
Zanzotto Ludo
Univ Calgary, Canada
Zervas Efthimios
Germany
Zhang Kui Yu
Univ of Reims, France
Zhang Qing
Polytech Univ, Xian, China
Zhang X C
Shanghai Jiaotong Univ, China
Zhao Haijun
Shanghai Jiaotong Univ, China
Zhichao
USA
Zhu Sumin
Univ Missouri-Rolla, USA
Indian
Journal of Engineering & Materials Sciences
Vol.
13, December 2006, pp. 556-560
Acharya S A 525
Achyutha B T 484
Aggarwal M L 217
Agrawal J P 462
Agrawal V P 217
Ahire R R 140
Ahmed K Sabeel 435
Aisien F A 333
Akbaş Ahmet 322
Aksoy Atakan 512
Ambre A H 368
Ansari M S 269
Aravindan S 37
Arun P 103
Asthana S N 80
Awasthi Meenu 135
Babu B Ramesh 503
Baskaran K 202, 281
Bazaras Žilvinas 411
Bhoga S S 525
Bustos Marcelo 117
Caliskan Sinan 25
Caroca Andrés 117
Celik Fazil 512
Cengiz Abdulkadir 405
Chandra Subhas 357
Chandramohan G 535
Chaudhari G N 87
Das S S 455
Dass Anoop K. 180
Daunys M 417
Demirboğa Ramazan 18
Devi Rashmi R 149
Dewan Anupam 180
Dhanasekaran R 231
Dhavale D D 80
Dhawan S K 357
Ebewele R O 333
Echaveguren Tomas 117
Ergun Murat 322
Gaitonde V N 484
Gandhinadhan R 275
Ganesan V 307
Ganeshkumar R 275
Garg Mridul 75
Giriraj B 275
Gül Rüstem 18
Gupta Navneet 145
Gupta Pankaj K 293
Güvercin Tekin 18
Haq A Noorul 37
Hou Baorong 467
Hymore F K 333
Jadhav H S 80
Jagtap R N 368
Jayakumari V G 62
Jayaveera K N 123
Kamalasanan M N 357
Kansal H K 209
Kantarci Abdulhamit 247
Karaşahin Mustafa 221
Karnik S R 484
Kavthia S H 155
Kaygusuz Kamil 253
Keshavarz M H 259, 542
Khan R A 217
Khandekar U S 87
Kishore R 339
Krenevičius Algimantas 411
Krishnamurthy V N 80
Kumar Lokendra 357
Kumar M Senthil 173
Kumar Pankaj 357
Kumar Pradeep 209
Lal K 339
Leonavičius Mindaugas 411
Li Yantao 467
Loganathan C 45
Loganathan M 95
Mahapatra S S 494
Maiti Kuntal 443
Maji T K 149
Mallikarjuna J M 307
Manivannan P V 95
Manorama S V 87
Manwar B G 155
Mathur G N 135
Mehta N M 155
Misra Aparna 357
Mohan S 238
Mouleeswaran D 231
Muralidharan B 391
Nair Shiny 62
Narayanasamy R 45, 202, 281
Natarajan U 103
Navathe C P 269
Nema Vivek 391
Nesaraj A Samson 347
Orhan Nuri 362
Oruc Seref 512
Ozan Sermin 362
Padha Naresh 55
Padole P R 87
Pagalthivarthi Krishnan V 293
Panneerselvam K 37
Parsania P H 155
Pathak J P 238
Pathak Manabendra 180
Patil S S 87
Patnaik Amar 494
Pattabiraman R 347
Periasamy V M 103
Pillai Padmanabha S 110
Pouretedal H R 259, 542
Prasad B V S S S 195
Prasad P B V 162
Puri R K 549
Puri Vijaya 549
Raj I Arul 347
Raja V Prabhu 275
Rajan M 391
Rajasekaran S 7
Raju G Naga 426
Rama Kumar B V N 195
Ramesh A 95
Rao H Sudarsana 123, 503
Rao A C 489
Rao D Krishna 69
Rao P Nageswara 69
Rao P R Sadananda 535
Rao V Venkateswara 451, 531
Reddy M Rami 426
Reddy V Venkateswara 123
Saltan Mehmet 221
Sampathkumaran P 535
Sapkal V S 87
Sarı Ahmet 253
Sathiya P 37
Seetharamu S 535
Semnani A 542
Seshadri V 477
Shamsudeen
Rahna K 62
Sharma R P 140
Sharma S K 339
Shashikanth P B 162
Siddeswarappa B 484
Sikder A K 462
Sil Anjan 443
Singh J K 238
Singh Bhupinder 269
Singh K 525
Singh B P 129
Singh C P 462
Singh G 462
Singh Manjit 75
Singh P 455
Singh S N 477
Singh Sehijpal 209
Singh Sukhvir 339
Singhal S K 129
Sivabalan
R 80
Sogalad Irappa 397
Solminihac Hernán de 117
Srinath A 489
Srivastava A K 339
Srivastava R B 135
Srivastava Vibha 455
Stupak Stanislav 411
Sujish D 391
Šukšta Marijonas 411
Suresha B 535
Talawar M B 80
Taraškevičius A 417
Taşkın Mustafa 362
Tehrani M Kavosh 542
Thaheer A Syed Abu 202
Tomokiyo Y 339
Turk Kazim 25
Türkmen İbrahim 247
Tyagi B P 145
Uçar Mehmet 405
Udupa N G Subramanya 397
Upreti M C 135
Vaid Rakesh 55
Vaidyanathan G 391
Veeraiah N 69, 426
Venkateswarlu Vartha 535
Verma Abhai Kumar 477
Vijayarangan S 173, 435
Yaragal Subhash C 30
Yazicioglu Salih 25
Ziliukas A 520
acoustic emission technique 275
acoustic emission 275
active suspension system 173
additives 87
AF-PbO-B2O3
glasses 69
aircraft 135
aircraft fuel 135
aircraft fuel tanks 135
Al2O3 87
Al2O3
optical waveguide 549
algorithm 103,494,503
alloy 135,451,531
alternate electrolyte 347
alumina 443
alumina ceramics 443
aluminium alloy 135
aluminium 45,135, 238
aluminium-silicon-silicon
carbide composite 238
amplifier
269
analytical investigation 411
analytical modeling 145
annealing 37
ANTA 462
aromatic cardo polysulfonates
155
asphalt 333,512
asphalt concrete pavements 333
atomic force microscopy (AFM) 368
Aureobasidium pullulans 135
automotive vehicles 217
backcalculation 221
barreling 202
bend 477
Bi2S3
thin films 140
billets 202,281
binder 75
biofilm 135
blade 195
bonding 362
boron carbide 129
cadmium alloy 531
cadmium 531
carbide
composite 238
carbon 362
carbon steels 362
cardo polysulfonates 155
carrier 145
carrier transport 145
casting 347
cells 347
cement 75,512
cementitious binder 75
ceramics 443
CFD treatments 180
CFD 195
characterization 80
chemical bath deposition 140
chemical modification 149
chlorides Co, Cd and Ag 455
circuit 391
circular pipe bend 477
circular pipe 477
clearance volume 307
closure stress 417
closure timing 307
CLT approach 435
cold upset forging 202,281
cold-mix asphalt 512
column design 503
combustion 525
composite 238,435,520
compressive strength 18
computational fluid dynamics 180
concrete pavements 333
concrete 7,25,123,247,333
conductivity 62
cone billets 202
conical die 45
controller 173
cooling system 195
copper 531
copper-43at% cadmium alloy 531
correlation equations 117
corrosion fatigue 467
corrosion 467
crack opening size 417
curing conditions 25,247
curing 25
cycle 417
decision fusion algorithm 103
delay generator 269
deposition 140
design 173
detonation performance 259
die profile 45
die 45
dielectric 69
diffusion bonding 362
diffusion 362
diode 357
discharge machining 209
discharge 209
drilling 103, 484
drying shrinkage 247
drying 247
durability 75
dynamics 180,391
elastic property evaluation 435
electric discharge machining 209
electric discharge 209
electrical properties 426
electro epitaxial growth 231
electroactive characteristics 62
electrolyte 347
electrolyte components 347
emission technique 275
emissions 95
emitting 357
energetic compounds 462,542
energy storage 253
engineering properties 25
epitaxial growth 231
equilibrium swelling 62
evolution strategies 7
expanded perlite aggregate 247
experimental approach 435
fatigue 417,467
fine grained high carbon
steels 362
finite element 221
flexible pavements 221
FLIMOSFET 55
flow 477
flow properties 180
fluid dynamics 180
fluid 180
fly ash 75
fly ash–lime sludge 75
force 368
forging 202,281
forming biofilm 135
forming 135
fracture 443
fracture toughness 443
freeway traffic flow control 322
friction coefficient 405
friction 37,535
friction welding 37
friction welding parameters 37
fuel cells 135,347,525
fuel tanks 135
fuel 135
gas phase heat 542
GaSb 231
gear trains 489
gear 489
genetic algorithm 494,503
glass-epoxy 535
glasses 69,426,455
glycidyl methacrylate 149
glycine-nitrates
combustion
synthesis 525
glycine-nitrates 525
grain boundaries 145
grains 162
grease 281
greenish-blue light emitting
lithium-boron complex 357
greenish-blue light 357
ground scrap tyre rubbers 333
growth kinetic model 231
gun technique 451
halogenated
aromatic cardo
polysulfonates 155
hardness 443
Hidden Markov Model 103
high concentration 477
high energy materials 80
high performance concrete 7
high pressures 129
high speed machining 275
high strength aluminium alloy 135
high temperature 129,162
horizontal conventional bend 477
hydrogels 62
hydrogen 391
hysteresis ratio 110
imaging metal grains 162
incompressible turbulent
plane 180
inflation pressure effect 110
inlet valve 307
InSb thin films 339
interference fitted
assemblies 397
ionic transport 455
irregular shaped billets 281
jets 180
joints 467
jute-glass fibre hybrid
composite 435
laser 162,269
laser light 162
laser light scattering microscopy 162
laser system 269
latent heat 253
leaf springs 217
light 162,357
light emitting diode 357
light scattering microscopy 162
light scattering 162
lime sludge 75
liquid phase 231
liquid phase electro epitaxial
growth
231
lithium-boron complex 357
LMFBR secondary circuit 391
longitudinal 145
loosening 411
loss function 484
low cycle fatigue 417
low cycle 417
low jitter variable 269
LPG sensors 87
LQR controller 173
lubricant 281
lumped parameter system 322
machining 209
magnetic properties 426
manganese ions 426
manganese ions influence 426
manifold injection system 95
marine platform 467
mathematical model 512
melt quenching 451
metal 162,202
metal grains 162
methacrylate 149
micro welds 217
microscopy 162,368
microstructural features 339
mineral admixtured mortars 18
misalignments 489
mixing water 123
model lift coefficients 293
modeling 145
moisture in paper 549
monitoring 103
mortars 18
multi-response optimization 484
nano-sized Ce1-xGdxO2-d 525
nanostructured 339
network approach 195
neural network 7,275,503
non-aromatic energetic
compounds 542
numerical simulations 55
optical waveguide 549
optimal mix 7
optimization 37,494
optimized column design 503
organic light emitting diode 357
part loads 307
particle trajectory 293
pavements 117,221,333
PbO-Al2O3-B2O3
glasses 426
perforated plates 30
phase change material 253
phosphate glasses 445
photoelectrochemical 140
physical properties 69
physico-chemical study 155
pinewood 149
pipe bend 477
pipe 477
planetary gear trains 489
platform 467
polyacrylamide 62
polyacrylamide hydrogels 62
polymer characterization 368
polymer 368
polynitrohexahydropyrimidines 80
polysilicon 145
polysilicon thin-film
transistors 145
polysulfonates 155
polysulfonates 155
portland cement 75
powder
mixed electric discharge
machining (PMEDM) 209
power FLIMOSFET 55
predicting adiabatic exponent
259
pressure 30
pressure drop 477
pressure measurements 30
process parameters 494
pulse 18
pulse velocity 18
pulse velocity 18
pure aluminium grades 45
PVC/fatty acid blends 253
quenching 451
quick estimation 542
quiescent ambient 180
radial spring constant 110
rare earth oxide 443
rare
earth oxide doped alumina
ceramics 443
reactive alloys 451
regenerative amplifier 269
relative humidity 405
resistance 117
round jets 180
rubbers 333
rubbers 333
scattering 162
scattering microscopy 162
scattering 162
scrap tyre rubbers 333
self-compacting concrete 25, 247
setting properties 123
shakedown 411
shape-stabilized 253
shrinkage 247
SI engine 95,307
SiCp composites 535
silicon-silicon
238
simulated annealing 37
simulated turbine
blade 195
simulations 55
sintering 129
skid resistance 117
slide wear 535
sodium 391
sodium bicarbonate 123
sodium carbonate 123
sodium phosphate glasses 455
sodium phosphate 455
solid oxide 347
solid oxide fuel cell 525
solid oxide fuel cells 347,525
solid-liquid mixture 477
spectroscopic properties 426
splitter 30
spring 110
steel 362,467
strength 75,123
strength criterion 520
stress distribution 397
stress ratio parameters 281
stress 397,417
strong alkaline substances 123
structural component 135
styrene 149
super-plasticity 362
super-plasticity temperature 362
susceptibility 489
suspension system 173
suspension 173
synthesis 80,155
table top 269
table top terawatt femto second
laser system 269
Taguchi’s method 209
Taguchi’s quality loss
function 484
tanks 135
tape casting 347
tape 347
temperature 162,362,405
terawatt femto 269
thermal energy 253
thermal energy storage 253
thermolysis 80,462
thin films 140,145,
339,549
thin-film transistors 145
threaded joints 411
titanium ions 69
titanium 69
tool condition monitoring 103
tool wear 275
tool 103,275
toughness 443
tractrix die 45
trains 489
transistors 145
transport 145
transverse 145
truncated cone billets 202
turbine 195
turbine blade 195
two-dimensional simulations 55
two-stroke SI engine 95
tyre hysteresis ratio 110
tyre rubbers 333
tyre 333
ultrasound pulse velocity 18
unidirectional composite 520
unsteady pressure 30
utility concept 209
V-belt mechanism 405
vehicles 217
velocity 18
waveguide 549
welded joints 467
welding parameters 37
welding 37
white grease as lubricant 281
white grease 281
wire
electrical discharge machining 494
wrinkling behaviour 45
wrinkling