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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

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Volume 12 Issue 2 February - April 2022

Research Paper

Exergy Investigation of Home Air Conditioner Working with Different Environment Friendly Refrigerants

Faraj El Sagier* , Mohammed Ali Elhaj Umbarek**

*-** Department of Mechanical and Industrial Engineering, Faculty of Engineering, University of Tripoli, Libya.

El-Sagier, F., and Umbarek, M. A. E. (2022). Exergy Investigation of Home Air Conditioner Working with Different Environment Friendly Refrigerants. i-manager’s Journal on Mechanical Engineering, 12(2), 1-9. https://doi.org/10.26634/jme.12.2.18383

Abstract

In this paper, the performance of various alternative refrigerants were compared to find the replacement for R22, the widely used hydrochlorofluorocarbon (HCFC) refrigerant in home air conditioning systems in most developing countries. This study include the environment friendly hydrofluorocarbon (HFC) refrigerants such as R-134a, R-410A, R-407C and R- 404A. A steady state thermodynamic modelling and simulation of a home air conditioner as an actual vaporcompression system was developed. The model predicted the performance of the system with the mentioned alternative refrigerants in terms of energy and exergy. Based on design conditions, operating parameters, such as coefficient of performance (COP), energy efficiency rating (EER), exergy efficiency (η₁₁) and exergy destruction ratio (EDR) were evaluated. The results obtained showed that R-134a, R-410A, R407C, and R-404A are better substitute to replace R22, as they are more environment friendly air conditioning cooling applications.

References

[1]. Ahamed, J. U., Saidur, R., & Masjuki, H. H. (2011). A review on exergy analysis of vapor compression refrigeration system. Renewable and Sustainable Energy Reviews, 15(3), 1593-1600. https://doi.org/10.1016/j.rser.2010.11.039

[2]. Altinkaynak, M., Olgun, E., & Şahin, A. Ş. (2019). Comparative evaluation of energy and exergy performances of R22 and its alternative R407C, R410A and R448A refrigerants in vapor compression refrigeration systems. El-Cezeri, 6(3), 659-667. https://doi.org/10.31202/ecjse.565843

[3]. Bahman, A. M., & Groll, E. A. (2016). Second-law analysis to improve the energy efficiency of environmental control unit. In, 16th International Refrigeration and Air Conditioning Conference (pp.1-10).

[4]. Menlik, T., Demircioğlu, A., & Özkaya, M. G. (2013). Energy and exergy analysis of R22 and its alternatives in a vapour compression refrigeration system. International Journal of Exergy, 12(1), 11-30.

[5]. Pennoncelle, S. G. (2015). Thermal Energy Systems: Design and Analysis (p. 576). CRC Press. https://doi.org/10.1201/b18031

[6]. Platzer, B., Polt, A., & Maurer, G. (1990). Thermophysical Properties of Refrigerants. Springer Berlin, Heidelberg.

[7]. Seyitoğlu, S. S., & Kılıçarslan, A. (2015). Second law analysis of different refrigerants in a two stage vapor compression cycle. Journal of Thermal Science and Technology, 35(2), 89-97.

[8]. Tandel, M., Patel, P., Patel, N., & Undhad, C. (2015). Exergy analysis of window air conditioning (VCR) system with refrigerant R22 and R407C. International Journal of Modern Trends in Engineering and Research (IJMTER), 2(6), 9-13.

[9]. Ukey, R., & Chaudhary, S. (2012). Exergy analysis of domestic refrigerator with different refrigerants. International Journal of Scientific & Engineering Research, 3(7), 1-5.

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Research Paper

Experimental Analysis on Heat Exchanger using Al₂O₃-CuO Hybrid Nano Coolant

V. Kranti Raj Sameer* , A. Swarna Kumari**

* CSIR-Central Mechanical Engineering Research Institute, Durgapur, West Bengal, India.

** Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India.

Sameer, V. K. R., and Kumari, A. S. (2022). Experimental Analysis on Heat Exchanger using Al₂O₃-CuO Hybrid Nano Coolant. i-manager’s Journal on Mechanical Engineering, 12(2), 10-21. https://doi.org/10.26634/jme.12.2.18474

Abstract

This research work gives the insight on heat transfer performance of nano coolants using hybrid nanoparticles Al2O3-CuO in mixture ratio 20:80, 50:50, 80:20 respectively, at 0.1 vol% of 5 liter base fluid (mono ethylene glycol (MEG)+ deionized water (DW)) on a double pipe shell and tube heat exchanger. Nanoparticles were prepared using ball milling, magnetic stirring and ultra-sonication. The average diameter of crystallites of hybridized nanoparticles was in the range of 25 nm to 35 nm, determined using an X-ray diffractometer. Specific heat capacity, density and kinematic viscosity were determined using differential scanning calorimetry, Redwood viscometer and precision balance, respectively. Modifications were done on the cold side of the heat exchanger by installing a tank at the top for the nano coolant. The flow rates on cold fluid side was fixed to 1.2 L/min and hot fluid side varied from 0.6 L/min to 1.2 L/min operated on both, parallel flow and counter flow arrangement. Coolant sample 80:20 (Al2O3:CuO) amongst all the samples possessed highest rate of effectiveness with an increment of 35% when compared to traditional sample DW + MEG and also with water. Highest logarithmic mean temperature difference (LMTD) and overall heat transfer coefficient (OHTC) were observed for the above sample. Smidgen amount of agglomeration had been observed while conducting the experiment.

References

[1]. Asokan, N., Gunnasegaran, P., & Wanatasanappan, V. V. (2020). Experimental investigation on the thermal performance of compact heat exchanger and the rheological properties of low concentration mono and hybrid nanofluids containing Al₂O₃ and CuO nanoparticles. Thermal Science and Engineering Progress, 20, 100727. https://doi.org/10.1016/j.tsep.2020.100727

[2]. Azimi, M., & Ommi, F. (2013). Using nanofluid for heat transfer enhancement in engine cooling process. Journal of Nano Energy and Power Research, 2(2), 132-134. https://doi.org/10.1166/jnepr.2013.1017

[3]. Babar, H., & Ali, H. M. (2019). Towards hybrid nanofluids: preparation, thermophysical properties, applications, and challenges. Journal of Molecular Liquids, 281, 598-633. https://doi.org/10.1016/j.molliq.2019.02.102

[4]. Bibi, M., Abbas, H., & Baqi, S. (2017). Outcome of temperature variation on sol-gel prepared CuO nanostructure properties (optical and dielectric). Materials Chemistry and Physics, 192, 67-71. https://doi.org/10.1016/j.matchemphys.2017.01.074

[5]. Choi, T. J., Kim, S. H., Jang, S. P., Yang, D. J., & Byeon, Y. M. (2020). Heat transfer enhancement of a radiator with mass-producing nanofluids (EG/water-based Al2O3 nanofluids) for cooling a 100 kW high power system. Applied Thermal Engineering, 180, 115780. https://doi.org/10.1016/j.applthermaleng.2020.115780

[6]. Dwivedi, S. P., Saxena, A., Sharma, S., Singh, G., Singh, J., Mia, M., ... & Wojciechowski, S. (2021). Effect of ball-milling process parameters on mechanical properties of Al/Al₂O₃/collagen powder composite using statistical approach. Journal of Materials Research and Technology, 15, 2918-2932. https://doi.org/10.1016/j.jmrt.2021.09.082

[7]. Jin, X., Chen, L., Chen, H., Zhang, L., Wang, W., Ji, H., ... & Jiang, L. (2021). XRD and TEM analyses of a simulated leached rare earth ore deposit: Implications for clay mineral contents and structural evolution. Ecotoxicology and Environmental Safety, 225, 112728. https://doi.org/10.1016/j.ecoenv.2021.112728

[8]. Qamar, A., Anwar, Z., Ali, H., Imran, S., Shaukat, R., & Abbas, M. M. (2022). Experimental investigation of dispersion stability and thermophysical properties of ZnO/DIW nanofluids for heat transfer applications. Alexandria Engineering Journal, 61(5), 4011-4026. https://doi.org/10.1016/j.aej.2021.09.028

[9]. Shah, T. R., Koten, H., & Ali, H. M. (2020). Performance effecting parameters of hybrid nanofluids. In Hybrid Nanofluids for Convection Heat Transfer (pp. 179-213). https://doi.org/10.1016/B978-0-12-819280-1.00005-7

[10]. Sleiti, A. K. (2020). Heat transfer measurements of Polyalpha-Olefin-boron nitride nanofluids for thermal management and lubrication applications. Case Studies in Thermal Engineering, 22, 100776. https://doi.org/10.1016/j.csite.2020.100776

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Research Paper

Parametric Analysis of Entropy Generation in Turbulent Convective Forced Flow in Spiral Channels at Constant Wall Temperature

Faraj El Sagier*

Department of Mechanical Engineering, University of Tripoli, Libya.

El-Sagier, F. (2022). Parametric Analysis of Entropy Generation in Turbulent Convective Forced Flow in Spiral Channels at Constant Wall Temperature. i-manager’s Journal on Mechanical Engineering, 12(2), 22-32. https://doi.org/10.26634/jme.12.2.18387

Abstract

This paper discuses parametric analysis of entropy generation in a forced convective turbulent flow of an incompressible fluid at a constant wall temperature through spiral channel of rectangular cross section of flow path has been carried out in terms of mass flow rates, temperature differences between fluid flow and temperature of the wall of the passage surface, width of the spiral passages and the shape geometry, as well as the types of fluids. Air is used as the working fluid, and in addition, water and oil are used in the parametric study. The competition between heat transfer enhancement and entropy generation has been addressed. Comparison between entropy generation profiles for different passage widths and shapes have been reported. It is found that mass flow rate and inlet fluid temperature have a considerable impact on entropy generation and hence on heat transfer enhancement. The findings show that the narrowing passage consumes more pump power to overcome viscous dissipation. Regarding the channel shape, it was found that the rectangular channel has the highest Bejan number (Be), while the circular spiral channel requires more pump power than the others. The data obtained indicate that the selection of the most suitable configuration and the best flow conditions becomes a critical task. Also, secondary flow due to centrifugal force and curvature has a significant effect on increasing heat transfer and entropy generation.

References

[1]. Bejan, A. (1979). A study of entropy generation in fundamental convective heat transfer. Journal of Heat Transfer, 101(4), 718-725. https://doi.org/10.1115/1.3451063

[2]. Bejan, A. (1980). Second law analysis in heat transfer. Energy, 5(8-9), 720-732. https://doi.org/10.1016/0360-5442(80)90091-2

[3]. Bejan, A. (1982). Entropy Generation through Heat and Fluid Flow. Wiley, New York.

[4]. Bejan, A. (1988). Advanced Engineering Thermodynamics. Wiley & Sons, New York.

[5]. Bejan, A. (1995). Entropy Generation Minimization. CRC Press, Boca Raton, (pp. 400). https://doi.org/10.1201/9781482239171

[6]. El-Sagier, F. E. M. (1998). Experimental and Numerical Study of Solid-Liquid Phase Change Transition in a Spiral Energy Storage Unit (Doctoral dissertation), The Institute of Heat Engineering, Warsaw University of Technology, Poland.

[7]. Jarungthammachote, S. (2010). Entropy generation analysis for fully developed laminar convection in hexagonal duct subjected to constant heat flux. Energy, 35(12), 5374-5379. https://doi.org/10.1016/j.energy.2010.07.020

[8]. Kakaç, S., Shah, R. K., & Aung, W. (1987). Handbook of Single-Phase Convective Heat Transfer. John Wiley &Sons.

[9]. Ko, T. H. (2006). Thermodynamic analysis of optimal mass flow rate for fully developed laminar forced convection in a helical coiled tube based on minimal entropy generation principle. Energy Conversion and Management, 47(18-19), 3094-3104. https://doi.org/10.1016/j.enconman.2006.03.006

[10]. Mahmud, S., & Fraser, R. A. (2002). Second law analysis of heat transfer and fluid flow inside a cylindrical annular space. Exergy, an International Journal, 2(4), 322-329. https://doi.org/10.1016/S1164-0235(02)00078-X

[11]. Morimoto, E., & Hotta, K. (1988). Study of the geometric structure and heat transfer characteristics of a spiral plate heat exchanger. Heat transfer. Japanese research, 17(1), 53-71.

[12]. Öztop, H. F., Şahin, A. Z., & Dağtekin, İ. (2004). Entropy generation through hexagonal cross sectional duct for constant wall temperature in laminar flow. International Journal of Energy Research, 28(8), 725-737. https://doi.org/10.1002/er.994

[13]. Rohsenow, W M, Hartnett, J P, & Ganic, E N. (1985). Handbook of Heat Transfer Fundamentals (2nd edn.). NY: McGraw-Hill.

[14]. Şahin, A. Z. (1998a). A second law comparison for optimum shape of duct subjected to constant wall temperature and laminar flow. Heat and Mass Transfer, 33(5), 425-430. https://doi.org/10.1007/s002310050210

[15]. Şahin, A. Z. (1998b). Irreversibilities in various duct geometries with constant wall heat flux and laminar flow. Energy, 23(6), 465-473. https://doi.org/10.1016/S0360-5442(98)00010-3

[16]. Şahin, A. Z. (1998c). Second law analysis of laminar viscous flow through a duct subjected to constant wall temperature. Journal of Heat Transfer, 120(1), 76-83. https://doi.org/10.1115/1.2830068

[17]. Şahin, A. Z. (2000). Entropy generation in turbulent liquid flow through a smooth duct subjected to constant wall temperature. International Journal of Heat and Mass Transfer, 43(8), 1469-1478. https://doi.org/10.1016/S0017-9310(99)00216-1

[18]. Şahin, A. Z. (2002). Entropy generation and pumping power in a turbulent fluid flow through a smooth pipe subjected to constant heat flux. Exergy, an International Journal, 2(4), 314-321. https://doi.org/10.1016/S1164-0235(02)00082-1

[19]. Şahin, A. Z., & Ben-Mansour, R. (2003). Entropy generation in laminar fluid flow through a circular pipe. Entropy, 5(5), 404-416. https://doi.org/10.3390/e5050404

[20]. Sekulic, D. P., Campo, A., & Morales, J. C. (1997). Irreversibility phenomena associated with heat transfer and fluid friction in laminar flows through singly connected ducts. International Journal of Heat and Mass Transfer, 40(4), 905-914. https://doi.org/10.1016/0017-9310(96)00123-8

[21]. Shah, R. K., & Sekulic, D. P. (2003). Fundamentals of Heat Exchanger Design. John Wiley & Sons.

[22]. Taherian, H., & Mirgolbaba, H. (2009). Irreversibilities in duct geometries of rhombic and circular with constant wall heat flux and laminar flow. Journal of Applied Sciences, 9(2), 327-333. https://doi.org/10.3923/jas.2009.327.333

[23]. Talebi, M. (2010). Entropy generation analysis of a variable property fluid convection in a helical tube. World Applied Science Journal, 10(4), 406-415.

[24]. Yilmaz, M., Sara, O. N., & Karsli, S. (2001). Performance evaluation criteria for heat exchangers based on second law analysis. Exergy, an International Journal, 1(4), 278-294. https://doi.org/10.1016/S1164-0235(01)00034-6

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Research Paper

Analysis of a Finned Type Concentric Tube Heat Exchanger using Different Materials by Applying CFD

Jithendra Sai Raja Chada* , Ganesh Nathipam, Dharmalingam R.*

* NS Engineering Company Pvt Ltd, Hyderabad, Telangana, India.

-* Department of Mechanical Engineering, Pragati Engineering College, Surampalem, Andhra Pradesh, India.

Chada, J. S. R., Nathipam, G., and Dharmalingam, R. (2022). Analysis of a Finned Type Concentric Tube Heat Exchanger using Different Materials by Applying CFD. i-manager’s Journal on Mechanical Engineering, 12(2), 33-39. https://doi.org/10.26634/jme.12.2.18476

Abstract

Heat exchangers are equipment used to transfer heat from a high temperature fluid to a low temperature fluid without direct contact. Usually, the heat exchangers used for industrial applications are large in size. The objective of this study is to reduce the size of the heat exchanger and increasing the effectiveness by using suitable materials. The present study is carried out on a concentric tube heat exchanger with rectangular fins arranged around the circumference of the tube. The initial simulation is carried out to find the best material among aluminum bronze and Al 6061. The study is further continued to find the best inlet conditions by varying the mass flow rate from 0.25 kg/s to 3 kg/s in 0.25 kg/s increments and inlet temperature from 80°C to 90°C in 5°C increments. Cold water flow conditions, such as mass flow rate of 1.5 kg/s and inlet temperature of 30°C, are constant throughout the study. The heat exchanger was modeled in SOLIDWORKS 2020. The flow simulation and thermal analysis were carried out in SOLIDWORKS Flow Simulation 2020. The simulation results and the actual prototype results showed a variation of 4.2%.

References

[1]. Ahamadu, H. B. A., Daniel, S.G, Rajasekaran, B., Selvaganesh, M., & Prasad, J. S. (2018). Performance analysis of single shell four tube heat exchanger. International Journal of Pure and Applied Mathematics, 119(12), 13729-13733.

[2]. Dubey, V. V. P., Verma, R. R., Verma, P. S., & Srivastava, A. K. (2014). Performance analysis of shell & tube type heat exchanger under the effect of varied operating conditions. IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), 11(3), 8-17.

[3]. Kabir, A. A., & Hafiz, A. B. (2019). Modeling and simulation of a supersonic convergent divergent nozzle using computational fluid dynamics (CFD). In 5th International Conference on Engineering Research, Innovation and Education.

[4]. Krishna, S. A. M., Shridhar, T.N., & Krishnamurthy, L. (2016). Microstructural characterization and investigation of thermal conductivity of Al 6061-SiC-Gr hybrid metal matrix composite. Indian Journal of Engineering and Material Sciences, 23, 207-222.

[5]. Kumar, S. (2018). Experimental analysis of shell and tube heat exchanger by using ABAQUS. International Journal of Engineering Sciences and Research Technology, 7(7), 340-346. https://doi.org/10.5281/zenodo.1320859

[6]. Prabhu, L., Kumar, M. G., Prasanth, M., & Parthasarathy, M. (2018). Design and analysis of different types of fin configurations using ANSYS. International Journal of Pure and Applied Mathematics, 118(5), 1011-1017.

[7]. Raja, C. J. S., Manda, A. Y., Vurakaranam, V., Gadi, C. S., & Dharmalingam, R. (2020). Heat swapping analysis of a finned heat pipe. Journal of Advancement in Engineering and Technology, 8(1), 1-4. https://doi.org/10.5281/zenodo.4064038

[8]. Raju, V., & Naik, N. (2017). Thermal design & analysis of shell and tube heat exchanger. Journal of Emerging Technologies and Innovative Research, 4(11), 722-728.

[9]. Sadeghzadeh, H., Aliehyaei, M., & Rosen, M. A. (2015). Optimization of a finned shell and tube heat exchanger using a multi-objective optimization genetic algorithm. Sustainability, 7(9), 11679-11695. https://doi.org/10.3390/su70911679

[10]. Silaipillayarputhur, K., Al Mughanam, T., Al Mojil, A., & Al Dhmoush, M. (2017). Analytical and numerical design analysis of concentric tube heat exchangers–A review. In IOP Conference Series: Materials Science and Engineering, 272, Article 012006. https://doi.org/10.1088/1757-899X/272/1/012006

[11]. Singh, P., Lal, H., & Ubhi, B. S. (2014). Design and analysis for heat transfer through fin with extensions. International Journal of Innovative Research in Science, Engineering and Technology, 3(5), 12054-12061.

[12]. Stephenraj, V., & Sathishkumar, M. K. (2018). Design, and analysis of heat exchanger for maximum heat transfer rate (multi-model optimisation technique). International Research Journal of Engineering and Technology (IRJET), 5(1), 1421-1426.

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Research Paper

Multi Objective Optimization of 3D Printing Process using Multi-Attribute Decision Making Methods

V. Chengal Reddy * , S. Kavitha, T. Nishkala*, S. M. Jameel Basha****

*-**** Department of Mechanical Engineering, Chadalawada Ramanamma Engineering College, Tirupati, Andhra Pradesh, India.

Reddy, V. C., Kavitha, S., Nishkala, T., and Basha, S. M. J. (2022). Multi Objective Optimization of 3D Printing Process using Multi-Attribute Decision Making Methods. i-manager’s Journal on Mechanical Engineering, 12(2), 40-49. https://doi.org/10.26634/jme.12.2.18562

Abstract

Fused deposition modeling (FDM) is one of the additive manufacturing (AM) methods widely used in many divisions, especially medical implants and aerospace, due to capabilities to build complex 3D objects and geometries. However, quality and dimensional accuracy of the FDM parts are significantly influenced by the various FDM process parameters including filament wire material. In the present work, new filament wire material Thermoplastic Polyurethane (TPU) was utilized to produce FDM parts. Hence, deciding the optimum process parameters is very critical to produce the FDM parts with good surface quality (Ra) and dimensional accuracy (Δd) concurrently using TPU material. In this paper, the author has contributed to determine the optimum 3D printing process parameters to improve the quality and accuracy for the new filament wire material Thermoplastic Polyurethane (TPU) using multi-attribute decision making (MADM) methods namely Gray Relational Analysis (GRA) and technique for order preference by similarity to ideal solution (TOPSIS). Further, the results of GRA and TOPSIS techniques were compared and concluded that TOPSIS method substantially reduced the surface roughness to a value of 12% contrast to the GRA method whereas the dimensional deviation accuracy increased to 6.25% over the GRA method.

References

[1]. Boesch, E., Siadat, A., Rivette, M., & Baqai, A. A. (2019). Impact of fused deposition modeling (FDM) process parameters on strength of built parts using Taguchi's design of experiments. The International Journal of Advanced Manufacturing Technology, 101(5), 1215-1226. https://doi.org/10.1007/s00170-018-3014-6

[2]. Boparai, K. S., Singh, R., & Singh, H. (2016). Modeling and optimization of extrusion process parameters for the development of Nylon6–Al–Al2O3 alternative FDM filament. Progress in Additive Manufacturing, 1(1), 115-128. https://doi.org/10.1007/s40964-016-0011-x

[3]. Carlier, E., Marquette, S., Peerboom, C., Denis, L., Benali, S., Raquez, J. M., ... & Goole, J. (2019). Investigation of the parameters used in fused deposition modeling of poly (lactic acid) to optimize 3D printing sessions. International Journal of Pharmaceutics, 565, 367-377. https://doi.org/10.1016/j.ijpharm.2019.05.008

[4]. Chohan, J. S., Singh, R., & Boparai, K. S. (2016). Parametric optimization of fused deposition modeling and vapour smoothing processes for surface finishing of biomedical implant replicas. Measurement, 94, 602-613. https://doi.org/10.1016/j.measurement.2016.09.001

[5]. Deswal, S., Narang, R., & Chhabra, D. (2019). Modeling and parametric optimization of FDM 3D printing process using hybrid techniques for enhancing dimensional preciseness. International Journal on Interactive Design and Manufacturing (IJIDeM), 13(3), 1197-1214. https://doi.org/10.1007/s12008-019-00536-z

[6]. Ding, S., Zou, B., Wang, P., & Ding, H. (2019). Effects of nozzle temperature and building orientation on mechanical properties and microstructure of PEEK and PEI printed by 3D-FDM. Polymer Testing, 78, Article 105948. https://doi.org/10.1016/j.polymertesting.2019.105948

[7]. Gurrala, P. K., & Regalla, S. P. (2014). Multi-objective optimisation of strength and volumetric shrinkage of FDM parts: A multi-objective optimization scheme is used to optimize the strength and volumetric shrinkage of FDM parts considering different process parameters. Virtual and Physical Prototyping, 9(2), 127-138. https://doi.org/10.1080/17452759.2014.898851

[8]. Heidari-Rarani, M., Rafiee-Afarani, M., & Zahedi, A. M. (2019). Mechanical characterization of FDM 3D printing of continuous carbon fiber reinforced PLA composites. Composites Part B: Engineering, 175, Article 107147. https://doi.org/10.1016/j.compositesb.2019.107147

[9]. Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making Methods and Applications, NY: Springer.

[10]. Ju-Long, D. (1982). Control problems of grey systems. Systems & Control Letters, 1(5), 288-294. https://doi.org/10.1016/S0167-6911(82)80025-X

[11]. Kaveh, M., Badrossamay, M., Foroozmehr, E., & Etefagh, A. H. (2015). Optimization of the printing parameters affecting dimensional accuracy and internal cavity for HIPS material used in fused deposition modeling processes. Journal of Materials Processing Technology, 226, 280-286. https://doi.org/10.1016/j.jmatprotec.2015.07.012

[12]. Kim, N. P., Cho, D., & Zielewski, M. (2019). Optimization of 3D printing parameters of Screw Type Extrusion (STE) for ceramics using the Taguchi method. Ceramics International, 45(2), 2351-2360. https://doi.org/10.1016/j.ceramint.2018.10.152

[13]. Liu, Z., Lei, Q., & Xing, S. (2019). Mechanical characteristics of wood, ceramic, metal and carbon fiber-based PLA composites fabricated by FDM. Journal of Materials Research and Technology, 8(5), 3741-3751. https://doi.org/10.1016/j.jmrt.2019.06.034

[14]. Mahmood, S., Qureshi, A. J., & Talamona, D. (2018). Taguchi based process optimization for dimension and tolerance control for fused deposition modelling. Additive Manufacturing, 21, 183-190. https://doi.org/10.1016/j.addma.2018.03.009

[15]. Malik, A., & Manna, A. (2018). Multi-response optimization of laser-assisted jet electrochemical machining parameters based on gray relational analysis. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(3), 1-21. https://doi.org/10.1007/s40430-018-1069-9

[16]. Manivannan, R., & Kumar, M. P. (2017). Multiattribute decision-making of cryogenically cooled micro- EDM drilling process parameters using TOPSIS method. Materials and Manufacturing Processes, 32(2), 209-215. https://doi.org/10.1080/10426914.2016.1176182

[17]. Mansour, M., Tsongas, K., & Tzetzis, D. (2019). Measurement of the mechanical and dynamic properties of 3D printed polylactic acid reinforced with graphene. Polymer-Plastics Technology and Materials, 58(11), 1234-1244. https://doi.org/10.1080/03602559.2018.1542730

[18]. Mausam, K., Sharma, K., Bharadwaj, G., & Singh, R. P. (2019). Multi-objective optimization design of diesinking electric discharge machine (EDM) machining parameter for CNT-reinforced carbon fibre nanocomposite using grey relational analysis. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41(8), 1-8. https://doi.org/10.1007/s40430-019-1850-4

[19]. Mohamed, O. A., Masood, S. H., & Bhowmik, J. L. (2016a). Experimental investigations of process parameters influence on rheological behavior and dynamic mechanical properties of FDM manufactured parts. Materials and Manufacturing Processes, 31(15), 1983-1994. https://doi.org/10.1080/10426914.2015.1127955

[20]. Mohamed, O. A., Masood, S. H., & Bhowmik, J. L. (2016b). Mathematical modeling and FDM process parameters optimization using response surface methodology based on Q-optimal design. Applied Mathematical Modelling, 40(23-24), 10052-10073. https://doi.org/10.1016/j.apm.2016.06.055

[21]. Mohamed, O. A., Masood, S. H., & Bhowmik, J. L. (2016c). Optimization of fused deposition modeling process parameters for dimensional accuracy using Ioptimality criterion. Measurement, 81, 174-196. https://doi.org/10.1016/j.measurement.2015.12.011

[22]. Nagendra, J., & Prasad, M.S.G. (2020). FDM process parameter optimization by Taguchi technique for augmenting the mechanical properties of nylon–aramid composite used as filament material. Journal of the Institution of Engineers (India): Series C, 101, 313–322. https://doi.org/10.1007/s40032-019-00538-6

[23]. Parthiban, K., Duraiselvam, M., & Manivannan, R. (2018). TOPSIS based parametric optimization of laser micro-drilling of TBC coated nickel based superalloy. Optics & Laser Technology, 102, 32-39. https://doi.org/10.1016/j.optlastec.2017.12.012

[24]. Ransikarbum, K., Ha, S., Ma, J., & Kim, N. (2017). Multi-objective optimization analysis for part-to-Printer assignment in a network of 3D fused deposition modeling. Journal of Manufacturing Systems, 43, 35-46. https://doi.org/10.1016/j.jmsy.2017.02.012

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[27]. Sindhu, D., Thakur, L., & Chandna, P. (2019). Multiobjective optimization of rotary ultrasonic machining parameters for quartz glass using Taguchi-Grey relational analysis (GRA). Silicon, 11(4), 2033-2044 .https://doi.org/10.1007/s12633-018-0019-6

[28]. Sivaiah, P., & Chakradhar, D. (2017). Multi-objective optimisation of cryogenic turning process using Taguchibased grey relational analysis. International Journal of Machining and Machinability of Materials, 19(4), 297-312.

[29]. Sivaiah, P., & Chakradhar, D. (2018). Multi performance characteristics optimization in cryogenic turning of 17-4 PH stainless steel using Taguchi coupled grey relational analysis. Advances in Materials and Processing Technologies, 4(3), 431-447. https://doi.org/10.1080/2374068X.2018.1452132

[30]. Sivaiah, P., & Chakradhar, D. (2019). Performance improvement of cryogenic turning process during machining of 17-4 PH stainless steel using multi objective optimization techniques. Measurement, 136, 326-336. https://doi.org/10.1016/j.measurement.2018.12.094

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Research Paper

A Study on Design and Analysis by Varying Piston Material in SI Engine

Sri Ram Deepak Akella* , Sashendra Srinivas Baswanth Pappula, Sanku Sai Aditya Vardhan*, Alluri Sujatha Priyadarshini****

*-****Department of Mechanical Engineering, Pragati Engineering College, Surampalam, Andhra Pradesh, India.

Akella, S. R. D., Pappula, S. S. B., Vardhan, S. S. A., and Priyadarshini, A. S. (2022). A Study on Design and Analysis by Varying Piston Material in SI Engine. i-manager’s Journal on Mechanical Engineering, 12(2), 50-61. https://doi.org/10.26634/jme.12.2.18576

Abstract

The piston in an internal combustion engine is exposed to high temperature and pressure for a long time. Generally, when designing a piston, the material used must have a high melting point and tensile strength. In this paper, the design research and structural analysis of the piston of a four-stroke spark ignition (SI) engine was carried out by changing the composition of the piston material with various materials such as titanium alloy, magnesium alloy, gray cast iron, aluminum alloy and structural steel. The study investigated mechanical strain and the mechanical stress, deformation, heat dissipation, and heat-flux. This study concluded that under assumed conditions, depending on other piston parameters, titanium alloy creates optimal conditions for the piston.

References

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

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Volume 12 Issue 2 February - April 2022

Exergy Investigation of Home Air Conditioner Working with Different Environment Friendly Refrigerants

Faraj El Sagier* , Mohammed Ali Elhaj Umbarek**

*-** Department of Mechanical and Industrial Engineering, Faculty of Engineering, University of Tripoli, Libya.

El-Sagier, F., and Umbarek, M. A. E. (2022). Exergy Investigation of Home Air Conditioner Working with Different Environment Friendly Refrigerants. i-manager’s Journal on Mechanical Engineering, 12(2), 1-9. https://doi.org/10.26634/jme.12.2.18383

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Experimental Analysis on Heat Exchanger using Al2O3-CuO Hybrid Nano Coolant

V. Kranti Raj Sameer* , A. Swarna Kumari**

* CSIR-Central Mechanical Engineering Research Institute, Durgapur, West Bengal, India. ** Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India.

Sameer, V. K. R., and Kumari, A. S. (2022). Experimental Analysis on Heat Exchanger using Al2O3-CuO Hybrid Nano Coolant. i-manager’s Journal on Mechanical Engineering, 12(2), 10-21. https://doi.org/10.26634/jme.12.2.18474

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Parametric Analysis of Entropy Generation in Turbulent Convective Forced Flow in Spiral Channels at Constant Wall Temperature

Faraj El Sagier*

Department of Mechanical Engineering, University of Tripoli, Libya.

El-Sagier, F. (2022). Parametric Analysis of Entropy Generation in Turbulent Convective Forced Flow in Spiral Channels at Constant Wall Temperature. i-manager’s Journal on Mechanical Engineering, 12(2), 22-32. https://doi.org/10.26634/jme.12.2.18387

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Analysis of a Finned Type Concentric Tube Heat Exchanger using Different Materials by Applying CFD

Jithendra Sai Raja Chada* , Ganesh Nathipam**, Dharmalingam R.***

* NS Engineering Company Pvt Ltd, Hyderabad, Telangana, India. **-*** Department of Mechanical Engineering, Pragati Engineering College, Surampalem, Andhra Pradesh, India.

Chada, J. S. R., Nathipam, G., and Dharmalingam, R. (2022). Analysis of a Finned Type Concentric Tube Heat Exchanger using Different Materials by Applying CFD. i-manager’s Journal on Mechanical Engineering, 12(2), 33-39. https://doi.org/10.26634/jme.12.2.18476

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Multi Objective Optimization of 3D Printing Process using Multi-Attribute Decision Making Methods

V. Chengal Reddy * , S. Kavitha**, T. Nishkala***, S. M. Jameel Basha****

*-**** Department of Mechanical Engineering, Chadalawada Ramanamma Engineering College, Tirupati, Andhra Pradesh, India.

Reddy, V. C., Kavitha, S., Nishkala, T., and Basha, S. M. J. (2022). Multi Objective Optimization of 3D Printing Process using Multi-Attribute Decision Making Methods. i-manager’s Journal on Mechanical Engineering, 12(2), 40-49. https://doi.org/10.26634/jme.12.2.18562

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A Study on Design and Analysis by Varying Piston Material in SI Engine

Sri Ram Deepak Akella* , Sashendra Srinivas Baswanth Pappula**, Sanku Sai Aditya Vardhan***, Alluri Sujatha Priyadarshini****

*-****Department of Mechanical Engineering, Pragati Engineering College, Surampalam, Andhra Pradesh, India.

Akella, S. R. D., Pappula, S. S. B., Vardhan, S. S. A., and Priyadarshini, A. S. (2022). A Study on Design and Analysis by Varying Piston Material in SI Engine. i-manager’s Journal on Mechanical Engineering, 12(2), 50-61. https://doi.org/10.26634/jme.12.2.18576

Abstract

References

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Experimental Analysis on Heat Exchanger using Al₂O₃-CuO Hybrid Nano Coolant

* CSIR-Central Mechanical Engineering Research Institute, Durgapur, West Bengal, India.

** Department of Mechanical Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India.

Sameer, V. K. R., and Kumari, A. S. (2022). Experimental Analysis on Heat Exchanger using Al₂O₃-CuO Hybrid Nano Coolant. i-manager’s Journal on Mechanical Engineering, 12(2), 10-21. https://doi.org/10.26634/jme.12.2.18474

Jithendra Sai Raja Chada* , Ganesh Nathipam, Dharmalingam R.*

* NS Engineering Company Pvt Ltd, Hyderabad, Telangana, India.

-* Department of Mechanical Engineering, Pragati Engineering College, Surampalem, Andhra Pradesh, India.

V. Chengal Reddy * , S. Kavitha, T. Nishkala*, S. M. Jameel Basha****

Sri Ram Deepak Akella* , Sashendra Srinivas Baswanth Pappula, Sanku Sai Aditya Vardhan*, Alluri Sujatha Priyadarshini****