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i-manager's Journal on Mechanical Engineering (JME)

Current Issue Vol. 14 Issue 2

Mechanization and Import Substitution in Zimbabwean Farmers' Equipment: A Case Study of the Revitalization of an Abandoned Tractor Trailer
Drill String Vibrational Analysis and Parametric Optimization for a Portable Water Well Rig Development
An Efficient Deep Neural Network with Amplifying Sine Unit for Nonlinear Oscillatory Systems
The Occupational Directness of Nanorobots in Medical Surgeries
Recent Trends in Solar Thermal Cooling Technologies

Most Cited

Volume 4 Issue 3 May - July 2014

Research Paper

Mathematical Modeling of Tube-Support Fouling in Nuclear Steam Generators

Yasser Rihan*

*Associate Professor, Department of Mechanical Engineering, Atomic Energy Authority, Anshas, Egypt

Rihan, Y. (2014). Mathematical Modeling of Tube-Support Fouling in Nuclear Steam Generators. i-manager's Journal on Mechanical Engineering, 4(3), 1-8. https://doi.org/10.26634/jme.4.3.2724

Abstract

Particle deposition on steam generator tubes and supports is a complex phenomenon involving many mechanisms that interact. The approach taken in this paper was to characterize the two-phase flow patterns existing designs, correlate these with fouling patterns observed in the field, and develop a support fouling mathematical model to better understand the dynamics of the fouling mechanisms. A computer program was coded to predict the deposit is thickness in and near a support. This model has the same classic particle deposition models as in the larger codes, but considers additional factors such as stagnation zones and surface normal to the flow.

References

[1]. S. J. Green and G. Hetsroni, (1995). "PWR steam generators", Int. J. Multiphase Flow, Vol. 21, Suppl. pp. 1-97.

[2]. Jamialahmadi, M., Bl? chl, R., Müller-Steinhagen, H., (1989). “Bubble dynamics and scale formation during nucleate boiling of aqueous calcium sulphate solutions”. Chemical Engineering and Processing 26, pp.15–26.

[3]. J. R. Wynnyckyj and E. Rhodes, (1987). “Fouling dynamics in furnaces of large pulverized coal fired boilers”. ASME-JSME Thermal Engineering Joint Conference, Honolulu, HI, USA, pp.22-27.

[4]. A. K. Chambers, J. R. Wynnyckyj and E. Rhodes, (1981). “A furnace wall ash monitoring system for coal fired boilers”. Journal of Engineering for Power, pp.532-538.

[5]. M.R. Malayeri, H. Müller-Steinhagen, T.H. Bartlett, (2005). "Fouling of tube bundles under pool boiling conditions", Chemical Engineering Science, 60 pp. 1503-1513.

[6]. R.L. Tapping, J. Nickerson, P. Spekkens, C. Maruska, (2000). "CANDU steam generator life management", Nuclear Engineering and Design, 197 pp.213–223.

[7]. G. Srikantiah, P.R. Chappidi, (2000). "Particle deposition and fouling in PWR steam generators", Nuclear Engineering and Design 200 pp.285–294.

[8]. M. Abu-Zaid, (2000). "A fouling evaluation system for industrial heat transfer equipment subject to fouling", Int. Comm. Heat Mass Transfer, Vol. 27, No. 6, pp. 815-824, .

[9]. S. Wright, G. Andrews, H. Sabir, (2009). "A review of heat exchanger fouling in the context of aircraft air-conditioning systems, and the potential for electrostatic filtering". Applied Thermal Engineering 29 pp.2596–2609. s

[10]. L. Perez, B. Ladevie, P. Tochon, J.C. Batsale, (2009). "A new transient thermal fouling probe for cross flow tubular heat exchangers". Int. J. of Heat and Mass Transfer 52 pp.407–414.

[11]. C. Huyskens , E. Brauns, E. Van Hoof, H. De Wever (2008). A new method for the evaluation of the reversible and irreversible fouling propensity of MBR mixed liquor". Journal of Membrane Science 323 pp.185–192.

[12]. J. Aminian and S. Shahhosseini, (2008). "Evaluation of ANN modeling for prediction of crude oil fouling behavior". Applied Thermal Engineering 28 pp.668–674.

[13]. V.R. Radhakrishnan, M. Ramasamy, H. Zabiri, V. Do Thanh, N.M. Tahir, H. Mukhtar, M.R. Hamdi, N. Ramli, (2007). "Heat exchanger fouling model and preventive maintenance scheduling tool". Applied Thermal Engineering 27pp. 2791–2802.

[14]. David J. Kukulka, Mohan Devgun, (2007). "Fluid temperature and velocity effect on fouling", Applied Thermal Engineering, 27 pp.2732–2744.

[15]. Y. Liner, M.B. Carver, C.W. Turner, and A.O. Campagna, (1992). “Simulation of magnetic particulate fouling in nuclear steam generators”. Proc. pf the ASME meeting on Steam Generator Sludge Deposition in Recirculating and Once through Steam Generator Upper Tube Bundle and Support Plates, NE-Vol. 8, Book No. G00690, .

[16]. M.B. Carver, L.N. Carlucci, and W.W.R. Inch, (1981). "Thermal-hydraulic in recirculating steam generators. THIRST Code User's Manual". AECL Report No. AECL-7254.

[17]. J.W. Cleaver and B. Yates, (1975). "A sub-layer model for the deposition of particles from a turbulent flow". Chemical Eng. Science, Vol. 30, pp. 983-992,.

[18]. H. Brenner, (1961). "The slow motion of a sphere through a viscous fluid towards a plan surface". Chemical Eng. Science, Vol. 16, pp. 242-251, .

[19]. S. Levy, (1967). "Forced convection subcooled boiling prediction of vapour volumetric fraction". Int. J. of Heat Mass Transfer, Vol. 10, pp. 951-965, .

[20]. P. Saha and N. Zuber, (1974). "Point on net vapour generation and vapour void fraction in subcooled boiling". Proc. Of the 5th Int. Heat Transfer Conf., Tokyo, Paper B4.7.

[21]. J.G. Collier, (1981). Convective Boiling and Condensation, 2nd edition, McGraw-Hill Book Company, .

[22]. H. Unal, (1978). "Determination of the drift velocity and the void fraction for the bubble-and plugflow regimes during the flow boiling of water at elevated pressures". Int. J. of Heat Mass Transfer, Vol. 21, pp. 1049-1056, .

[23]. B.D Bowen and N. Epstein, (1979) ( "Fine particle deposition in smooth parallel-plate channels". J. of Colloid Interface Science, Vol. 72, pp. 88-97 .

[24]. Y. Liner, M. Carver, C.W. Turner, A. Campagna, (1992). "Simulation of magnetite particulate fouling in nuclear steam generators". Proc. of the ASME meeting on Steam Generator Sludge Deposition in Recirculating and Once Through Steam Generator Upper Tube Bundle and Support Plates, NE-Vol. 8, No. G00690, .

[25]. D. J. Kukulka, M. Devgun, (2007). "Fluid temperature and velocity effect on fouling". Applied Thermal Engineering 27 pp. 2732–2744.

[26]. C.W. Turner and M. Godin, (1994). "Mechanisms of magnetite deposition in pressurized boiling and nonboiling water". Proc. of the 2nd Int. Conf. on Steam Generators and Heat Exchangers, Toronto, Canada, .

[27]. C.W. Turner, M.E. Blimkie, P.A. Lavoie, (1997). "Physical and chemical factors affecting sludge consolidation". Report No. COG-96-492-1, AECL-11674 .

[28]. I.E. Idel'chik, (1994). Handbook of hydraulic resistance, 3rd edition, CRC Press Inc., pp. 222.

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Research Paper

Design and Analysis of Connecting Rod of Die Pillar Station of Vacuum Thermoforming Machine

C.P. Gaikwad* , S.D. Kalpande**

* - ** Mechanical Engineering Department, MET Institute of Engineering & Research, Nasik, India.

Gaikwad, C., & Kalpande, S. D. (2014). Design and Analysis of Connecting Rod of Die Pillar Station of Vacuum Thermoforming Machine. i-manager's Journal on Mechanical Engineering, 4(3), 9-14. https://doi.org/10.26634/jme.4.3.2725

Abstract

The objective of this work is to design and analyze the performance of connecting rod, through a simple experimental model of Forming and Trimming Die Pillar Station of Vacuum Thermoforming Machine. A connecting rod is a machine member subjected to alternating direct compressive and tensile forces, where compressive forces are generally more in connecting rods so that it is considered for its prime safety. A parametric mathematical model of connecting rod is modeled using Pro-E Wildfire 4.0 Software and its Static Structural Analysis is carried on Ansys v-11.0 Workbench. FEA of connecting rod is done using C50 as its base material to determine its von-Misses stress, Max shear Stress, Total Deformation, and Alternating stress to cycles graph. Also, the Stiffness of connecting rod is calculated. Basically, the analysis is carried with four different element sizes such as 1 mm, 2 mm, 3 mm, and 4 mm and best element is selected indicating correct results.

References

[1]. R.S. Khurmi and J.K. Gupta, (2005). A Textbook of Machine Design, Eurasia Publishing House.

[2]. Ramanpreet Singh, (2013). “Stress Analysis of Orthotropic and isotropic connecting rod using Finite element method”. IJMERR, Vol.2, No.2

[3]. K. udershn Kumar, (2012). “Modelling and Analysis of Two Wheeler Connecting Rod”. IJMER, Vol.2, Issue 5.

[4]. Throne. L. James, (2004). “Technology of Thermoforming”. Sherwood Technologies, Inc, USA.

[5]. PSG Design Data Book, (2011). Kalaikathir Achchagam.

[6]. http://sites.mech.ubc.ca/~alivakil/Mech479/Notes /2013-11-14_MECH479_Ansys Workbench_Tutorial. pdf.

[7]. Sohail Akbar Khan, (2009). “Improved Mathematical Model of Sheet Reheat Phase in Thermoforming Process”. Thesis Report of Masters of Applied Science, Canada.

[8]. Saeed Moaveni, (1999). “Finite Element Analysis Theory and Applications with Ansys”, Prentice Hall, USA.

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Research Paper

A Simulation Approach to Analysis of Mixing Performance for Different Geometry of Microchannels

Sourav Acharya* , Apurbba Kumar Sharma**

* Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee.

** Associate Professor, Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee.

Acharya, S., & Sharma, A. K. (2014). A Simulation Approach to Analysis of Mixing Performance for Different Geometry of Microchannels. i-manager's Journal on Mechanical Engineering, 4(3), 15-20. https://doi.org/10.26634/jme.4.3.2726

Abstract

Mixing in microfluidics has become a pivotal issue in the field of Microelectromechanical systems. Mixing can be enhanced in microchannels by complicating the geometry of the channel. Different microchannel structures have been studied to analyse the mixing performance. In this paper, a numerical simulation has been done to compare the mixing performance of straight, serpentine, and three-dimensional serpentine microchannels with the help of ANSYS Fluent. The study shows that due to chaotic advection caused by the formation of secondary flows, the 3D serpentine microchannel shows better mixing performance.

References

[1]. Shoji, S., Esashi, M. and Matsuo,T., (1988). “Prototype Miniature Blood-Gas Analyzer Fabricated on A Silicon- Wafer”. Sensors and Actuators, 14.

[2]. Gianni Orsi, Chiara Galletti, Elisabetta Brunazzi, Roberto Mauri, (2013). “Mixing of Two Miscible Liquids in TShaped Microdevices”. Chemical engineering transactions, Vol. 32, pp.1471-1476

[3]. Volker Hessel, Holger Löwe, and Friedhelm Schönfeld, (2005). “Micromixers—a review on passive and active mixing principles”. Chemical Engineering Science 60, 2479 – 2501

[4]. A. S. Rawool, Sushanta K. Mitra, and S. G. Kandlikar, (2006). “Numerical simulation of flow through microchannels with designed roughness”. Microfluid Nanofluid 2, pp. 215–221,

[5]. Ying Zheng Liu, Byoung Jae Kim, and Hyung Jin Sung, (2004). “Two-fluid mixing in a microchannel”. International Journal of Heat and Fluid Flow, Vol-25, pp.986–995

[6]. Virginie Mengeaud, Jacques Josserand, and Hubert H. Girault. (2002). “Mixing Processes in a Zigzag Microchannel: Finite Element Simulations and Optical Study”. Analytical Chemistry, Vol. 74, pp.4279-4286

[7]. Arjun P. Sudarsan, and Victor M. Ugaz, (2006). “Fluid mixing in planar spiral microchannels”. Lab Chip. Vol-6. pp.74–82

[8]. Chun-Ping Jen, Chung-Yi Wu, Yu-Cheng Lin, and Ching-Yi Wub (2003). “Design and simulation of the micromixer with chaotic advection in twisted microchannels”. Lab Chip. Vol-3. pp.77–81

[9]. Robin H. Liu, Mark A. Stremler, Kendra V. Sharp, Michael G. Olsen, JuanG. Santiago, Ronald J. Adrian, Hassan Aref, and David J. Beebe, (2000). “Passive Mixing in a Three Dimensional Serpentine Microchannel”. Journal of Microelectromechanical Systems, Vol. 9, No. 2.

[10]. Jens branebjerg, Birgit Fabius, Peter Gravesen, (1995). “Application of miniature analyzers: from microfluidic components to ?TAS”. Journal on Micro Total Analysis Systems. pp. 141-151

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Research Paper

Prediction of Ultimate Strength of Glass/Epoxy Tensile Specimen Using Acoustic Emission RMS Data

K. Krishnamoorthy* , T. Sasikumar**

* Research Scholar, Center for Research, Lord Jegannath College of Engineering and Technology, Kanyakumari, India.

** Professor, Department of Mechanical Engineering, Lord Jegannath College of Engineering and Technology, Kanyakumari, India.

Krishnamoorthy, K., and Sasikumar, T. (2014). Prediction of Ultimate Strength of Glass/Epoxy Tensile Specimen Using Acoustic Emission RMS Data. i-manager's Journal on Mechanical Engineering, 4(3), 21-26. https://doi.org/10.26634/jme.4.3.2727

Abstract

The objective of this research paper is to predict the ultimate strength of the glass/epoxy composite laminates using the online Acoustic Emission (AE) monitoring and Artificial Neural Networks (ANN). The laminates were made by six layered glass fiber (in woven mat form) with epoxy as the binding medium by hand lay-up technique, cured at room temperature 2 at the pressure of 30 kg/cm . Tensile specimens with ASTM D3039 standard dimensions were cut from the laminates. These specimens were subjected to uni-axial tension under the acoustic emission monitoring using 10 ton capacity universal tensile machine. The dominant AE parameters such as counts, energy, duration, RMS, ASL ,and amplitude are recorded during monitoring. The RMS value corresponding to the amplitude ranges obtained during tensile testing were used to predict the failure load of a similar specimen subjected to uni-axial tension well before its failure load.

References

[1]. Nat Ativitavas, Timothy J. Fowler, and Thanyawat Pothisiri. (2004). “Identification of Fiber Breakage in Fiber Reinforced Plastic by Low-Amplitude Filtering of Acoustic Emission Data”. Journal of Nondestructive Evaluation, Vol. 23, No. 1

[2]. James L. Walker, Ginger H. Rowell and Eric V.K.Hil, (1996). “Burst Pressure Prediction in Graphite Epoxy Pressure Vessels Using Neural Network Based and Acoustic Emission Amplitude Data”. Materials Evaluation.

[3]. N. Ativitavas, T. J. Fowler “Acoustic Emission Identification of Failure Mechanisms In Fiber Reinforced Plastic Materials By Neural Networks”. PTT Public Company Limited, Bangkok, Thailand. The University of Texas at Austin, Texas, USA.

[4]. V. Arumugam, R. Naren Shankar, B.T.N. Sridhar, and A. Joseph Stanley, (2010). “Ultimate Strength Prediction of Carbon/Epoxy Tensile Specimens from Acoustic Emission Data”. Journal of Material Science Technolgy, 26(8), 725- 729.

[5]. S. Rajendraboopathy and T. Sasikumar and K. M. Usha and E. S. Vasudev, (2009). “Artificial neural network a tool for predicting failure strength of composite tensile coupons using acoustic emission technique”. International Journal for Advanced Manufacturing Technology, 44: pp.399–404

[6]. T. Sasikumar, S. Rajendraboopathy, K.M. Usha, E.S. Vasudev, “Artificial Neural Network Prediction of Ultimate Strength of Unidirectional T-300/914 Tensile Specimens Using Acoustic Emission Response”

[7]. Sivanandam SN, Sumathi S, Deepa SN (2005). Introduction to Neural Networks using MATLAB 6.0. Tata McGraw-Hill, New Delhi, ISBN-13:978-0-07-059112-7.

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Research Paper

Fabrication and Characterization of MMCs Using Stir Casting Method

Jeevan Singh Bisht* , Akshay Dvivedi, Apurbba Kumar Sharma*

* Research Scholar, Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee.

Assistant Professor, Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee.

* Associate Professor, Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee.

Bisht, J. S., Dvivedi, A., & Sharma, A. K. (2014). Fabrication and Characterization of MMCs Using Stir Casting Method. i-manager's Journal on Mechanical Engineering, 4(3), 27-32. https://doi.org/10.26634/jme.4.3.2728

Abstract

Metal Matrix Composites have a great demand in the area of automotive, aerospace, and marine industries. It has exceptional properties like high strength, high hardness, lightweight, high corrosion resistance etc. Stir casting is one of the simplest and promising routes for manufacturing of metal matrix composites. In the present study, the Al6063-T5 alloy was reinforced with SiC abrasive particles in a weight ratio of 5%, 10%, and 15%. The mechanical properties such as tensile strength, macro-hardness, and impact strength of fabricated Al6063-T5-SiC MMCs were investigated for different weight fractions of reinforced SiC. The experimental investigation shows that the mechanical properties improve with increase in SiC weight percentage from 5% to 15%.

References

[1]. Ray S. Zno (1993). “Synthesis of cast metal matrix particulate composites[J]”. Journal of Materials Science, 28(1): pp.5397?5413.

[2]. Rana R.S., Purohit Rajesh, Das. S (2012). “Review of recent studies in Al matrix composites”. International Journal of Scientific & Engineering Research, Vol. 3, No 6, pp. 2-7.

[3]. Naher S., Brabazon .D, Looney . l. (2003). “Simulation of stir casting process”. Journal of Materials Processing Technology, pp.143–144, 567-571.

[4]. Seo Young-Ho, Kang Chung-Gil. (1995). “The effect of applied pressure on particle-dispersion characteristics and mechanical properties in meltstirring squeeze-cast SiCp/A1 composites”. Journal of Materials Processing Technology, 55, pp.370-379.

[5]. Skibo D.M., Schuster D.M., Jolla L. (1988). “Process for preparation of composite materials containing nonmetallic particles in a metallic Matrix, and composite materials”. US Patent No. 4786 467.

[6]. Zhou W., Xu Z. M. (1997). “Casting of SiC Reinforced Metal Matrix Composites”, Journal of Materials Processing Technology, Vol.63, pp. 358-363

[7]. Hashim L., Looney, Hashmi M.S.J. (1999). “Metal matrix composites: production by the stir casting method”, Journal of Materials Processing Technology, pp. 1-6.

[8]. Prabu S., Karunamoorthy L., Kathiresan S., Mohanb B. (2006). “Influence of stirring speed and stirring time on distribution of particles in cast metal matrix composite [J]”. Journal of Materials Processing Technology,171: pp. 268?273.

[9]. R. Warren, C. H. Anderson, (1984). Composites, 15, 101.

[10]. Zaklina Gnjidic, Dus?an Boz?ic´, Mirjana Mitkov, (2001). “The influence of SiC particles on the compressive properties of metal matrix composites”. Materials Characterization, 47, pp.129– 138.

[11]. Embury J.D. (1985). Metal. Trans. A, 16, pp. 2191–2200. Elsevier Materials Selector. Vol. 2, UK. , 1997.

[12]. Surappa M. K., Rohatgi P. K, (1981). “Preparation and properties of aluminium alloy ceramic particle composites”. J. Material. Science. pp. 983–993.

[13]. Boopathi Mahendra, Arulshri P.K., Iyandurai.N. (2013). “Evaluation of Mechanical properties of aluminium alloy 2024 reinforced with silicon carbide and fly ash hybrid metal matrix composites”. American Journal of Applied Sciences, pp. 219-229.

[14]. Severin Irina, Tonoiu Ionelia, Moldovan P., Cojocaru S., Ghica V. G, (1994). “Mechanical characteristics of aluminium matrix composites reinforced with ceramic particles”. Metallurgy and New Materials Researches. pp. 23-32.

[15]. Meena L.K., Manna A., Banwait S. S., Jaswanti, (2013). “An Analysis of Mechanical Properties of the Developed Al/SiC-MMC ’s”. American Journal of Mechanical Engineering. pp. 14-19.

[16]. Yoshimura N. H., Goncalves N., Goldenstein H, (1997). “The Effects of SiCp Clusters and the porosity on the Mechanical Properties of the PM Al Matrix Composites”. Key Engineering Materials. pp. 985-992.

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Case Study

Improvement of Process Performance and Calculation of 5S Activity in Organized Sector: A Case Study

Rohit K. Kandpal* , Ajay**

* Student, Manufacturing and Management Engineering, G.B.Pant University of Agriculture and Technology, Pantnagar, India

** Faculty, Industrial and Production Engineering, G.B.Pant University of Agriculture and Technology, Pantnagar, India.

Kandpal, R. K. (2014). Improvement of Process Performance and Calculation of 5S Activity in Organized Sector: A Case Study. i-manager's Journal on Mechanical Engineering, 4(3), 33-39. https://doi.org/10.26634/jme.4.3.2729

Abstract

The 5S method is a key component of the lean. The lean manufacturing process is a proven approach to more efficient workspaces adopted by leading manufacturers worldwide. The concept of lean is more value for less work. The objective of this work was to use 5S methodology to manage, and improve the working conditions of fastener production area in a fastener company. This directly results in improvement of process performance. To accomplish the goal, the authors focused on the implementation of 5S method as one of the lean tool. In order to develop a better organization of the workspace, and its utilization, the authors have focused on finding the weakest point of the system through which the overall efficiency of the system will be affected. A study was carried out in the case company to calculate its efficiency using 5S methodology, and to find out the weakest point on production area. Thus, the results after applying the proposed methodology estimates the production system efficiency as 75.64%.

References

[1]. P. M. Rojasra et al., (2013). "Performance Improvement Through 5S in Small Scale Industry: A case study" International Journal of Modern Engineering Research. Vol.3, Issue.3, pp-1654-1660.

[2]. Bhasin & burcher, "Lean Viewed as a Philosophy" Journal of Manufacturing Technology Management, 17(1), pp.56-72.

[3]. Denish B.Modi et al., (2014). "Lean Thinking: Reduction of Waste, Lead Time, Cost Through Lean Manufacturing Tools And Technique". International Journal of Emerging Technology and Advanced Engineering, Vol.4, Issue 3.

[4]. J. Michalska et al., (2007). "The 5S Methodology as a Tool for Improving the Organisation". Journal of Achievement in Material and Manufacturing Engineering, Vol.24 Issue 2.

[5]. Liker, J K and Hoseus, M. Toyota culture: the heart and soul of the Toyota way, New York: McGraw-Hill.

[6]. Jose H. Ablanedo-Rosas at al., (2010). "Quality improvement supported by the 5S, an empirical case study of Mexican organizations". International Journal Of Production Research, Vol. 48 No. 23, 1, pp.7063-7087.

[7]. Chitre, Ameya R., (2010). "Implementing the 5S Methodology for Lab Management in the Quality Assurance Lab of Flexible Packaging Converter". MS Technology Management, Graduate School University of Wisconsin-Stout.

[8]. Chauhan et al., (2010). "Measuring the Status of Lean Manufacturing Using AHP". International Journal of Emerging Technology. Vol. 1 No.2, pp.115-120.

[9]. Hudli and Imandar, (2020). "Areas of Lean Manufacturing for Productivity Improvement in a Manufacturing Unity". World Academy of Science, Engineering and Technology, Vol. 69.

[10]. S. B. Khedkar et al., (2012). "Study of implementing 5S Technique in Plastic Moulding", International Journal of Modern Engineering Research, Vol.2, Issue.5, pp-3653- 3656, ISSN: 2249-6645.

[11]. Parshant Koli et al., (2012). "General Implementation and Calculation of 5S Activity in any organization" International Journal of Science and Research. India Online ISSN: 2319-7064, Vol. 1, Issue.3.

[12]. Septika Rosiana Dewi et al. "5S Program to Reduce Change-Over Time on Forming Department (Case Study on CV Piranti Works Temanggung)". IOP Conf. Ser: Mater. Sci. Eng,. 46 012040 doi:10.1088/1757-899X/46/1/012040.

[13]. Laura Macchion et al., (2013). "Lean Thinking to Provide Smart Infrastructure". Department of Management & Engineering, University of Padua, Stradella San Nicola, 3- 36100 Vicenza, Italy.

[14]. Balwinder Singh Sidhu et al., (2013). "The "5S" Strategy by Using PDCA Cycle for Continuous Improvement of the Manufacturing Processes in Agriculture Industr y" International Journal of Advanced Scientific and Technical Research, ISSN 2249-9954, Issue 3, Vol.5.

i-manager's Journal on Mechanical Engineering (JME)

Current Issue Vol. 14 Issue 2

Most Read

Most Cited

Volume 4 Issue 3 May - July 2014

Mathematical Modeling of Tube-Support Fouling in Nuclear Steam Generators

Yasser Rihan*

*Associate Professor, Department of Mechanical Engineering, Atomic Energy Authority, Anshas, Egypt

Rihan, Y. (2014). Mathematical Modeling of Tube-Support Fouling in Nuclear Steam Generators. i-manager's Journal on Mechanical Engineering, 4(3), 1-8. https://doi.org/10.26634/jme.4.3.2724

Abstract

References

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Design and Analysis of Connecting Rod of Die Pillar Station of Vacuum Thermoforming Machine

C.P. Gaikwad* , S.D. Kalpande**

* - ** Mechanical Engineering Department, MET Institute of Engineering & Research, Nasik, India.

Gaikwad, C., & Kalpande, S. D. (2014). Design and Analysis of Connecting Rod of Die Pillar Station of Vacuum Thermoforming Machine. i-manager's Journal on Mechanical Engineering, 4(3), 9-14. https://doi.org/10.26634/jme.4.3.2725

Abstract

References

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A Simulation Approach to Analysis of Mixing Performance for Different Geometry of Microchannels

Sourav Acharya* , Apurbba Kumar Sharma**

* Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee. ** Associate Professor, Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee.

Acharya, S., & Sharma, A. K. (2014). A Simulation Approach to Analysis of Mixing Performance for Different Geometry of Microchannels. i-manager's Journal on Mechanical Engineering, 4(3), 15-20. https://doi.org/10.26634/jme.4.3.2726

Abstract

References

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Prediction of Ultimate Strength of Glass/Epoxy Tensile Specimen Using Acoustic Emission RMS Data

K. Krishnamoorthy* , T. Sasikumar**

* Research Scholar, Center for Research, Lord Jegannath College of Engineering and Technology, Kanyakumari, India. ** Professor, Department of Mechanical Engineering, Lord Jegannath College of Engineering and Technology, Kanyakumari, India.

Krishnamoorthy, K., and Sasikumar, T. (2014). Prediction of Ultimate Strength of Glass/Epoxy Tensile Specimen Using Acoustic Emission RMS Data. i-manager's Journal on Mechanical Engineering, 4(3), 21-26. https://doi.org/10.26634/jme.4.3.2727

Abstract

References

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Fabrication and Characterization of MMCs Using Stir Casting Method

Jeevan Singh Bisht* , Akshay Dvivedi**, Apurbba Kumar Sharma***

Bisht, J. S., Dvivedi, A., & Sharma, A. K. (2014). Fabrication and Characterization of MMCs Using Stir Casting Method. i-manager's Journal on Mechanical Engineering, 4(3), 27-32. https://doi.org/10.26634/jme.4.3.2728

Abstract

References

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Improvement of Process Performance and Calculation of 5S Activity in Organized Sector: A Case Study

Rohit K. Kandpal* , Ajay**

* Student, Manufacturing and Management Engineering, G.B.Pant University of Agriculture and Technology, Pantnagar, India ** Faculty, Industrial and Production Engineering, G.B.Pant University of Agriculture and Technology, Pantnagar, India.

Kandpal, R. K. (2014). Improvement of Process Performance and Calculation of 5S Activity in Organized Sector: A Case Study. i-manager's Journal on Mechanical Engineering, 4(3), 33-39. https://doi.org/10.26634/jme.4.3.2729

Abstract

References

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* Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee.

** Associate Professor, Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee.

* Research Scholar, Center for Research, Lord Jegannath College of Engineering and Technology, Kanyakumari, India.

** Professor, Department of Mechanical Engineering, Lord Jegannath College of Engineering and Technology, Kanyakumari, India.

Jeevan Singh Bisht* , Akshay Dvivedi, Apurbba Kumar Sharma*

* Student, Manufacturing and Management Engineering, G.B.Pant University of Agriculture and Technology, Pantnagar, India

** Faculty, Industrial and Production Engineering, G.B.Pant University of Agriculture and Technology, Pantnagar, India.