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Krishnaiah, G.
- Understanding Ignition Over Pressure During Start Up of Typical Scaled Down Solid Rocket Motors
Abstract Views :248 |
PDF Views:0
Authors
R. Venkatraman
1,
S. Sankaran
1,
G. Krishnaiah
2,
P. Malleswara Rao
1,
P. K. Vivekanand
3,
T. Sundararajan
3
Affiliations
1 Satish Dhawan Space Centre, Sriharikota-524124, IN
2 Sri Venkateswara Univeristy, Tirupathi, IN
3 Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai-600 036, IN
1 Satish Dhawan Space Centre, Sriharikota-524124, IN
2 Sri Venkateswara Univeristy, Tirupathi, IN
3 Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai-600 036, IN
Source
Indian Journal of Science and Technology, Vol 8, No 5 (2015), Pagination: 481-488Abstract
The Ignition Over Pressure (IOP) is an unsteady pressure wave generated by the ignition of solid rocket motor during launch vehicle lift-off. This wave behaves as a blast or a shock wave followed by a low frequency excitation characterized up to 40 Hz, would cause severe damage to the launch vehicle, its structures and surroundings. However, in case of huge propulsion system, having two solid rocket motors as its boosters, due to the skew in their ignition, during lift-off, the phase difference of the wave from one side of the vehicle to the other could cause a severe moment, which is detrimental to the vehicle. The present paper deals with the occurrence of such blast waves during the testing of various scaled down solid rocket motors. Also, an attempt has been made experimentally to characterize and understand the propagation of the IOP wave causing unsteady pressure oscillations and transient pressure rise in the vicinity of a solid rocket motor. The spectral and directional characteristics of the IOP wave are also highlighted. Typical scaled-down solid rocket motors with and without nozzle shutters have been tested in horizontal firing configuration and the results are compared to study their effect. The resulting shock wave propagation has axial downstream as well as angular directivities. The pressure rise rate in the chamber is found to be directly correlated to the over pressure measured at various locations at the downstream of the nozzle.Keywords
Directionality, Ignition Over Pressure, Ignition Transient, Shock Wave Propagation, Solid Rocket Motor.Full Text
- Parametric Analysis of Optimum Cutting Parameters for AISI1042 Using PVD Tool in Turning Operation Using Grey Relation Analysis
Abstract Views :172 |
PDF Views:1
Authors
Affiliations
1 SCSVMV University, Kanchipuram, IN
2 Geethanjali Institute of Science and Technology, Nellore, IN
3 Mechanical Engg Dept., SCSVMV University, Kanchipuram, IN
4 Mechanical Engg Dept., AITS, Tirupati, IN
1 SCSVMV University, Kanchipuram, IN
2 Geethanjali Institute of Science and Technology, Nellore, IN
3 Mechanical Engg Dept., SCSVMV University, Kanchipuram, IN
4 Mechanical Engg Dept., AITS, Tirupati, IN
Source
Manufacturing Technology Today, Vol 15, No 3 (2016), Pagination: 3-11Abstract
The paper study is carried out on orthogonal cutting of AISI 1042(EN 41B) carbon steel under dry turning conditions with PVD coated cemented carbide inserts. This paper presents the cutting parameters which influences the Surface roughness (Ra) and Material Removal Rate (MRR) on AISI 1042. Experiments are carried out by conducting experiments based on Taguchi technique considering L27 orthogonal array on a lathe (PSG A141). The process parameters considered for the study are cutting speed, feed rate, and depth of cut and the output parameters are MRR and Ra. A Model has been developed using regression technique and the optimal cutting parameters for minimum surface roughness, and maximum MRR were obtained using Taguchi technique. For predicting the surface roughness, an Artificial Neural Network (ANN) model was designed through back propagation network using MATLAB software for the data obtained. Comparison of the experimental data and ANN results shows that there is no significant difference and ANN was used confidently. Optimal machining parameters were determined by the grey relation grade obtained from the grey relation analysis for multi-performance characteristics (the surface roughness and Material removal rate). The results of confirmation experiments reveal that grey relation analysis coupled with factorial design can effectively be used to obtain the optimal combination of turning parameters. Experimental results have shown that the surface roughness and material removal rate in the turning process can be improved effectively through the new approach.Keywords
AISI No1042 Alloy Steel, PVD Coated Tool, Taguchi Technique, ANN and Grey Relational Analysis.
- Lean Supplier Selection based on Hybrid MCGDM Approach using Interval Valued Neutrosophic Sets:A Case Study
Abstract Views :141 |
PDF Views:5
Authors
Affiliations
1 Department of Mechanical Engineering, S.V.U College of Engineering, Tirupati, A.P., IN
2 Department of Mechanical Engineering, S.V.U College of Engineering, Tirupati, A. P., IN
1 Department of Mechanical Engineering, S.V.U College of Engineering, Tirupati, A.P., IN
2 Department of Mechanical Engineering, S.V.U College of Engineering, Tirupati, A. P., IN
Source
International Journal of Innovative Research and Development, Vol 5, No 4 (2016), Pagination: 291-296Abstract
In any manufacturing industry 60% - 70% of total cost of product pertains raw materials cost. Therefore selection of raw material supplier is very significant factor to improve quality of product as well as reducing total cost. Supplier selection considers various factors and numerous alternatives. However it is conflicting multi criteria decision making problem having various choices. The proposed multi criteria group decision making problem paves selection of best supplier among available. Linguistic variable associate with Interval Valued Neutrosophic Sets (IVNS) are used to derive criteria weights with aid of Analytical Hierarchy Process (AHP). Technique for Order Preference Similar to Ideal Solution (TOPSIS) ranks best supplier, Functions of IVNS distances and similarity measures performed in the present work.
Keywords
AHP, Interval Neutrosophic Values, MCGDM, Supplier, TOPSIS.Full Text
- Comparison of Optimum Cutting Parameters in Machining Die Steel (EN 31) by using Gray Relational Analysis and TOPSIS
Abstract Views :201 |
PDF Views:2
Authors
Affiliations
1 Rayalaseema University, IN
2 Department of Mechanical Engineering, AITS, Tirupati, IN
1 Rayalaseema University, IN
2 Department of Mechanical Engineering, AITS, Tirupati, IN
Source
Manufacturing Technology Today, Vol 16, No 4 (2017), Pagination: 3-11Abstract
Manufacturing industries are undergoing various changes due to the unending need of the customers for qualitative, reliable and sophisticated parts and products in the modern era and technological world. Accompanying the development of mechanical industry, the demands for alloy materials having high hardness and impact resistance are increasing. To meet such requirements manufacturers are make use of EDM machines. EDM are used to cut conductive metals of high hardness or the materials that are difficult to cut or impossible to cut with the traditional methods. The machines are also specialized in cutting complex contours or fragile geometries that would be difficult to be produced using conventional cutting methods. However, environmental impact due to release of toxic emissions aerosols during the process, poor operational safety due to fire hazard, electromagnetic radiation and non-bio degradable waste are the major problems concerned with conventional dielectric fluids (i.e. kerosene, hydro carbon, etc.,). To reduce the problems with conventional die electric fluids waste palm oil blended with kerosene is used. The present work was to examine the effects of process parameters on the machining quality and to obtain optimal process parameters in order to maximize Material Removal Rate and Minimize the Surface Roughness and Dimensional deviation error. The process parameters that are consider for the present work is current (I), voltage (V), pulse on (Pon), and pulse off (Poff) and responses are metal removal rate (MRR), surface roughness (Ra) and dimensional deviation (DD). Comparison of optimum values by using multi objective optimization techniques like Gray Relational analysis (GRA) and TOPSIS.
Keywords
Electric Discharge Machining (EDM), Material Removal Rate (M.R.R), Surface Roughness (Ra), Dimensional Deviation (DD), Gray Relational Analysis (GRA), Technique for Order of Preference by Similarity to Ideal Solution TOPSIS.References
- Valaki, Janak B; Rathod, Pravin P: Assessment of operational feasibility of waste vegetable oil based bio-dielectric fluid for sustainable electric discharge machining (EDM), 'International Journal of Advanced
- Manufacturing Technology', DOI 10.1007/s 00170-015-7169-0.
- Kolli, Murahari; Adepu Kumar: Effect of dielectric fluid with surfactant and graphite powder on Electrical Discharge Machining of titanium alloy using Taguchi Method, 'Engineering Science and Technology, an International Journal', vol. 18, no. 4, December 2015, 524-535.
- Sharanjit Singhand Arvind Bhardwaj (2011), Review to EDM by Using Water and PowderMixed Dielectric Fluid Journal of Minerals & Materials Characterization & Engineering, vol. 10, no.2, 2011, 199-230, .
- Tripathy, S; Tripathy, DK: Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis. 'International Journal of Engineering science and Technology', 2015.
- Sengottuvel, P; Satishkumar, S; Dinakaran, D; Optimization of Multiple Characteristics of EDM Parameters Based On Desirability Approach and Fuzzy Modeling International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization) vol. 4, no. 6, June 2015.
- Milan Kumar Dasa; Kaushik Kumarb; Tapan Kr. Barmana and Prasanta Sahooa: Application of Artificial bee Colony Algorithm for Optimization of MRR and Surface Roughness in EDM of EN31 tool steel 3rd ICMPC 2014, Science Direct Procedia Materials Science 6, 2014, 741 – 751.
- Tang, L & Duto, YT: Experimental study on green electrical discharge machining in tap water of Ti–6Al–4V and parameters optimization, 2014.
- Das, M; Kumar, K; Barman, T; and Sahoo, P: Optimization of material removal rate in EDM using Taguchi method. Advanced Materials Engineering and Technology, 2012, 626:270–274.
- Jambeswar Sahu; Chinmaya P. Mohanty, Mahapatra, SS: A DEA approach for optimization of multiple responses in Electrical Discharge Machining of AISI D2 steel Elsevier Procedia Engineering, vol. 51, 2012, 585-591.
- Singh, H; Garg, R: Effects of process parameters on material removal rate in WEDM, 'Journal of Achievements in Materials & Manufacturing Engineering', vol. 32, no. 1, 70-74.
- Wu, KL; Yan BH; Huang, FY; Chen, SC: Improvement of surface finish on SKD steel using electro-discharge machining with aluminum and surfactant added dielectric, 'International Journal of Machine Tools and Manufacture', vol. 45, 2005, 1195–1201.
- Yih-fong, Tzeng; Fu-chen, Chen: A simple approach for robust design of high-speed electrical discharge machining technology’, International Journal of Machine Tools and Manufacture, vol. 43, 2003, 217–227.
- Makwana, Abhijeetsinh V and Kapil S Banker: An Electrode Shape Configuration on the Performance of Die Sinking Electric Discharge Machine (EDM): A Review.
- Routara BC; Sahoo P and Bandyopadhyay A: Application of response surface method for modelling of statistical roughness parameters on Electric Discharge Machining, 'Proceedings of the International Conference on Mechanical Engineering 2007 (ICME2007)', 29 - 31 December 2007, Dhaka, Bangladesh.
- Esme, U; Sagbas, A; and Kahraman, F: Prediction of surface roughness in wire electrical discharge machining using design of experiments and neural networks, 'Iranian Journal of Science and Technology, Transaction B, Engineering', vol. 33, No. B3, 2009, 231-240.
- Rao, PS; Ramji, K; Satyanarayana, B: Effect of WEDM conditions on surface roughness: A parametric optimisation using Taguchi method, 'International Journal of Advanced Engineering Sciences and Technologies', vol. 6, no. 1, 2011, 41-48.
- Sensitivity Analysis of Surface Roughness of AISI 1040 Carbon Steel in Dry Turning Operation with PVD Tool Using Taguchi Method
Abstract Views :154 |
PDF Views:1
Authors
Affiliations
1 Sri Venkateswara University, College of Engineering, Tirupati, IN
2 Swarnadhra College of Engineering, Narasapur, Andhra Pradesh, IN
1 Sri Venkateswara University, College of Engineering, Tirupati, IN
2 Swarnadhra College of Engineering, Narasapur, Andhra Pradesh, IN
Source
Manufacturing Technology Today, Vol 11, No 12 (2012), Pagination: 5-11Abstract
The present study is concentrated with orthogonal cutting of AISI 1040 carbon steel under dry turning conditions with PVD coated cemented carbide inserts. This paper presents the influence of cutting parameters on the surface roughness of carbon steels of AISI 1040 series. The investigations are carried out by conducting experiments based on Taguchi technique considering L27 orthogonal array. The investigations consists of surface roughness of the material under hot and cold conditions, this aspect is studied due to variation of temperature during turning process showing the affects of online monitoring of tool surface roughness. The other general investigations are signal to noise ratio and analysis of variance are employed to the parameters such as Material removal Rate (MRR). Finally, sensitivity analysis is carried out on most influenced cutting parameter to predict the surface roughness by obtaining the absolute fraction of variance.Keywords
PVD, CVD, Taguchi and Sensitivity.- Selection of LEAN Facilitator and Machine for Implementing LEAN Manufacturing System in a Discrete Manufacturing
Abstract Views :160 |
PDF Views:0
Authors
Affiliations
1 Pennar Industries Ltd. Hyderabad A.P., IN
2 SVU & Annamacharya Engg College,Tirupati, IN
3 Department of Mech. Engg., Sri Venkateswara University College of Engg, Tirupati, IN
1 Pennar Industries Ltd. Hyderabad A.P., IN
2 SVU & Annamacharya Engg College,Tirupati, IN
3 Department of Mech. Engg., Sri Venkateswara University College of Engg, Tirupati, IN
Source
International Journal of Engineering Research, Vol 5, No SP 2 (2016), Pagination: 386-391Abstract
In present competitive business environment, Lean manufacturing becomes a key strategy for global competition. Lean manufacturing is a combination of best techno social practices which consists of the social aspects (people and society) and technical aspects (machine and technology).Most of the lean practices are shop floor techniques that concentrate in eliminating non value added activity in the production floor. The purpose of lean manufacturing is to attain higher quality, productivity, Yield and less down times of machines. For successful implementation of LEAN manufacturing system in any organization-selection of facilitator and system of evaluating the degree of applied lean tools for selected process plays a vital role. To solve this type multi criteria decision making problems, a detailed study and investigation done using VIKOR method. By using the VIKOR method the decision makers can take the decision which is closer to the ideal solutions. In this paper linguistic fuzzy data is used to find the ratings and weights. A numerical example is proposed to demonstrate with an application of the proposed technique. Finally under fuzzy environment using this VIKOR method, with multi criterion decision makers and with their weightage best LEAN facilitator was selected to implement lean manufacturing system .At the same time to adopt appropriate lean tools and get desired results best fitted lean process line and machine was selected and identified.Keywords
Lean Manufacturing, Facilitator Selection, Fuzzy, VIKOR.Full Text
- Experimental Investigation and Analysis of Optimum Cutting Parameters for AISI1042 Using Grey-Taghuchi Analysis
Abstract Views :118 |
PDF Views:1
Authors
Affiliations
1 Mechanical Engineering Department, Annamacharya Institute of Technology & Sciences, Rajampet, IN
2 Geethanjali Institute of Science and Technology, Nellore, IN
3 Mechanical Engg. Dept., SCSVMV University, Kanchipuram, IN
4 Mechanical Engineering Department, AITS, Tirupati, IN
1 Mechanical Engineering Department, Annamacharya Institute of Technology & Sciences, Rajampet, IN
2 Geethanjali Institute of Science and Technology, Nellore, IN
3 Mechanical Engg. Dept., SCSVMV University, Kanchipuram, IN
4 Mechanical Engineering Department, AITS, Tirupati, IN
Source
International Journal of Engineering Research, Vol 5, No SP 2 (2016), Pagination: 453-458Abstract
The paper discussed about optimization of multicriteria problems that are used in turning operation. The theory of grey system is a new technique for performing prediction, relational analysis and decision making in multicriteria problems. Optimization of cutting parameters which are influencing on surface roughness, and MRR of AISI 1042 (EN 41B) work material using CVD coated tool is a multiobjective criteria. In the present investigation the influence of spindle speed, feed rate, and depth of cut were studied as process parameters. The experiments have been conducted using full factorial design in the design of experiments (DOE) on a conventional lathe (PSGA141). A Model has been developed using regression technique and the optimal cutting parameters for minimum surface roughness, and maximum MRR were obtained using Taguchi technique. The use of grey relation analysis for optimizing the cutting parameters for good surface finish and more material removal rate is introduced. Optimal machining parameters were determined by the grey relation grade obtained from the Grey relation analysis. Experimental results show that the Surface roughness and MRR in turning operation is improved effectively through the new approach.Keywords
AISI No1042 Alloy Steel, CVD Tool, DOE, Taguchi Technique, Grey Relation Analysis.Full Text