A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Hema, P.
- Parametric Optimization of Friction Stir Lap Welding of AA5083-AA6082 Using Multi Criteria Decision Making Method
Authors
1 Department of Mechanical Engineering, S.V.U College of Engineering, Tirupathi, Andhra Pradesh, IN
Source
Manufacturing Technology Today, Vol 16, No 5 (2017), Pagination: 3-9Abstract
Friction Stir weld joint exhibits better quality and properties compared to other fusion welding techniques. Dissimilar lap joining process is considered as a challenge when compared to welding of similar materials due to variations in the chemical composition and mechanical properties of the joining materials. In this project AA 6082-T6 and AA 5083-H111 are joined in lap joint configuration using H13 tool steel with taper threaded pin profile by FSLW as per Taguchi design. Process parameters considered are Tool Rotational Speed, Welding Speed and Tool Tilt Angle. FSLW is conducted on Knee Type Vertical Milling machine FN2V. Mechanical properties like Shear Strength, Peak Load and Elongation are measured by shear tensile test. Hardness at the weld zone is also determined by Vickers Hardness test. Multiple responses are optimized by using TOPSIS method and best Process Parameters are evaluated.
Keywords
Lap Joint, H13 Tool Steel, FSLW, Process Parameters, Shear Tensile Test, Hardness Test, TOPSIS.References
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- Mohamed F. El-Santawy; Ahmed AN:A SDV-MOORA Technique for Solving Multi-Criteria Decision Making Problems with No Preference, ‘Life Science Journal’, 2012
- Mandeep Singh Sidhu; Sukhpal Singh Chatha: Friction Stir Welding - Process and its Variables: A Review, ‘International Journal of Emerging Technology and Advanced Engineering’, vol. 2, no. 12, December 2012.
- Hema Pothur; Gangadhar, SM; Ravindranth, K: Influence of Friction Stir Welding Parameters on the Micro Structural and Mechanical Properties of Aluminum Alloy 6061, ‘International Journal of Applied Engineering Research’, vol 7, no. 8, 2012, 907-916
- Gadakh VS: Parametric Optimization of Wire Electrical Discharge Machining using Topsis Method, ‘Advances In Production Engineering & Management’, ISSN 1854-6250, vol. 7, no. 3, 2012, 157-164.
- Hema Pothur; Gangadhar, SM; Ravindranth, K: Influence Of Friction Stir Welding Parameters On The Micro Structural And Mechanical Properties Of Aluminum Alloy 6061, ‘International Journal Of Applied Engineering Research’, vol 7, no. 8, 2012, 907-916.
- Babu; Janaki Ram GD; Venkitakrishnan PV; Madhusudhan Reddy G; Prasad Rao K: Microstructure and Mechanical Properties of Friction Stir LapWelded Aluminum Alloy AA2014 ‘Journal of Material Science and Technology’, vol. 28, no. 5, 2012, 414-426
- Hema, P; Kanakaraja, D; Ravindranath, K: Comparative Studyon Different Pin Geometries Of Tool Profile In FrictionStir Welding Using Artificial Neural Networks, ‘International Journal Of Mechanical Engineering and Technology (IJMET)’, ISSN 0976-6340 (Print), ISSN 0976 - 6359 (Online) vol. 4, no. 2, March - April, 2013, 245-253.
- Sadeesh P; Venkatesh Kannan M; Rajkumar V; Avinash P; Arivazhagan N; Devendranath Ramkumar K; Narayanan Sa: Studies on Friction Stir Welding of AA 2024 and AA 6061 Dissimilar Metals, ‘7th International Conference on Materials for Advanced Technology, 'Procedia Engineering’, vol. 75, 2014, 145-149.
- Kesharwania, RK; Panda, SK; Pal, SK: Multi Objective Optimization of Friction Stir Welding Parameters for Joining of Two Dissimilar Thin Aluminum Sheets, ‘Procedia Materials Science’, vol. 6, 2014, 178-187.
- Balasubramaniyan Singaravel; Thangiah Selvaraj: Optimization of Machining Parameters in Turning Operation using Combined TOPSIS and AHP Method, ISSN: 1330-3651, 2014.
- Grimma, S; Schulzeb; Silvaa, A; Gobela, G; Standfussa, J; Brennera, B; Beyera, E; Fusselb U; Friction Stir Welding of Light Metals for Industrial Applications, ‘Materials Today: Proceedings’, vol. 2, Supplement 1, 2015, S169 - S178.
- Joseph Achebo; Monday Omoregie: Application of Multi-Criteria Decision Making Optimization Tool for Determining Mild Steel Weld Properties and Process Parameters Using the TOPSIS, ‘International Journal of Materials Science and Applications’, 2015, 149-158.
- Arun M; Amachandran K: Effect of Welding Process on Mechanical And Metallurgical Properties of AA6061 Aluminium Alloy Lap Joint, ‘International Journal of Mechanical Engineering and Research’, ISSN 0973-4562, vol. 5, no.1, 2015.
- Mahesh Teli; Yagnesh B Chauhan: Parametric Optimization of Friction Stir Lap Welding of Aa2024-Aa7075 using Taguchi Method, ‘International Journal for Technological Research in Engineering’, 2016.
- Senthil Kumar Velukkudi; Santhanam Lokesh Rathinaraj: Multi Response Optimization of Submerged Friction Stir Welding Process Parameters using TOPSIS Approach, ‘Imece 2015 Houston', Texas, 2016, 13-19.
- Productivity Improvement by Reduction of Rejections in Grid Casting Using Six Sigma Methodology
Authors
1 S. V. University College of Engineering, Tirupathi, IN
Source
Manufacturing Technology Today, Vol 17, No 3 (2018), Pagination: 9-17Abstract
The core and the heart of the battery industry is Grid. This paper discusses about the quality and productivity improvement by reducing the rejections in Grid casting section in one of the Battery manufacturing Multinational companies. The quality improvement would be attained by sigma methodology’s DMAIC approach. It depicts reducing rejections in Grids from grid casting machine. Data collection and Pareto analysis indicated the high rejections are due to flashes and wire miss. The ischolar_main causes are found out by six sigma using Variable search tool and validated by Better Vs Current Tool. By the results of DMAIC, Modifications are carried out in grid casting methodology and the process parameters optimized. This resulted in reducing the rejections from 9.5 % to 2.1 % and average improvement of grid caster’s productivity. To confirm whether Six Sigma implementation would be simplified, this paper highlights usage of Shainin DOE instead of Taguchi DOE.Keywords
Six Sigma, DMAIC, Pareto Analysis, Shainin DOE, Variable Search, Better Vs Current Tool.References
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- Kabir, Md. Enamul; Boby, S M Mahbubul Islam; Lutfi, Mostafa: Productivity Improvement by using Six-Sigma, 'International Journal of Engineering and Technology', vol. 3 no. 12, December, 2013.
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- Pugnaa, Adrian; Negrea, Romeo; Miclea, Serban: Using Six Sigma Methodology to Improve the Assembly Process in an Automotive Company, 'Procedia - Social and Behavioral Sciences', vol. 221, 2016, 308 - 316,
- Srinivasan, K; Muthu, S; Prasad, NK; Satheesh, G: Reduction of paint line defects in shock absorber through Six Sigma DMAIC phases, 'Procedia Engineering', vol. 97, 2014, 1755 - 1764 ,
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- Montgomery DC: Hand book of Design and Analysis of Experiments, 5th Edition, John Wiley and Sons, New York, 2001.
- Gitlow, Howard S: A guide to lean six sigma Management, 2nd edition, 2009.
- Pyzdek, Thomas: The Six sigma Handbook: (A complete guide for six sigma Green belts and Black belt’s), 4th edition, 2014
- Productivity Improvement by Reducing the Tool Change Time Using SMED Methodology
Authors
1 Dept. of Mechanical Engineering, SVU College of Engineering, Tirupathi, IN
2 Batteries Organization, IN
Source
Manufacturing Technology Today, Vol 17, No 4 (2018), Pagination: 8-15Abstract
SMED (Single Minute Exchange of Die) is one of the many Lean production methods for reducing time in a manufacturing process. The present paper deals with reduction in tool change time in one of the prime automotive batteries industry using SMED technique which increases productivity of the industry. In this project first the problem is identified in SBD (Small Battery Division) Plant based on analysis of one month data of plant capacity. After analysis, the bottleneck is identified for production of the plant using Pareto Analysis which indicates that the maximum tool change time due to Calibration and Assembly. Next SMED Methodology implemented on major areas to reduce the tool change time. The causes for recursive activities searched and ideas implemented to eliminate them provided. After implementing SMED technique the total tool change time for Calibration from 2192 to 1194 seconds and Assembly from 42 to 24 minutes reduced.Keywords
SMED (Single Minute Exchange of Die), Lean Production, SBD (Small Battery Division), Pareto Analysis, Calibration and Assembly.- Fabrication of Die-Sinking Electrical Discharge Machine for Machining of Holes on Copper Plate
Authors
1 Department of Mechanical Engineering, S.V.U. College of Engineering, Tirupati, IN
Source
Manufacturing Technology Today, Vol 17, No 7 (2018), Pagination: 11-18Abstract
Electrical Discharge Machining has been playing an important role in manufacturing sector especially industries like aerospace, ordinance, automobile, general engineering, etc. Electrical Discharge Machining (EDM) is one of the important non-traditional machining processes which is used for machining of conductive and semi conductive materials and also difficult to machine materials like super alloys and composites materials. However, selection of process parameters for obtaining higher cutting efficiency or accuracy in EDM is still not fully solved, even with the most updated EDM machine. An attempt is made in the present work to develop a prototype of EDM consisting of different units namely, dielectric filtering and recirculation unit, pulse generation and control unit and tool-feed control unit. They describe the utilization of various units and their components of proto-type EDM. Orthogonal Array, Taguchi Experimental design is developed for experimentation. The process parameters such as voltage, duty cycle and sensor value are by considered during machining. The experiments are carried-out to produce holes on copper plate using EDM Machine. The experimental results are analyzed and the optimal combinations of influential parameters are determined using Grey Taguchi Analysis. The optimum size of hole is obtained as 2.030 mm, at 40V and 0% Duty Cycle. The analysis is carried-out using Mini TAB and GRA.Keywords
Die-Sinking EDM, Dielectric Filtering, Voltage, Duty Cycle, Grey Taguchi Method.References
- Aruna, K; Somashekhar, S; Hiremath: Investigation on Machining of Silica Wafer Using Developed Micro-Electrical Discharge Machining (μ-EDM), International Journal of Engineering Research in Electronics and Communication Engineering, vol. 4, no. 4, April 2017, ISSN (Online) 2394-6849, 46-52.
- Ahmet Hascalik; Ulas and Caydas: Electrical discharge machining of titanium alloy (Ti–6Al–4V), Applied Surface Science, vol. 253, no. 22, 2005, 9007-9016.
- Malek, O; Vleugels, J; Vanmeensel, K; Van Renterghem and Lauwers, B: Electrical discharge machining of B2-sic composites, Proceedia CIRP 6, 2013, ISSN:2212-8271, 186–191.
- Pawade,MM and Banwait, SS: An Exhaustive Review of Die-Sinking Electrical Discharge Machining Process and Scope for Future Research”, World Academy of Science, Engineering and Technology, vol. 7, no. 6, 2013, 6892-6922.
- Kubade, Pravin R; Jadhav, V: Investigation of Electrode Wear Rate (EWR), Material Removal Rate (MRR) and Radial Overcut (ROC) in EDM of High Carbon-High Chromium Steel (AISI D3), 'International Journal of Technical Research and Applications', Special Issue 42, March 2017, e-ISSN: 2320-8163, 95-98.
- Kumar Sandeep, S: Research trends in EDM in Dept. of Mechanical Engineering, University Institute of Engineering and Technology”, Research Journal of Engineering Sciences, vol. 2 no. 2, February 2013, ISSN 2278-9472, 56-60.
- Paul, Lijo and Somashekhar S Hiremath: Surface Modeling of Micro Holes in Electrochemical Discharge Machining Process, Proceedia Engineering, vol. 64, 2013, 1395 - 1404.
- Sushil Kumar Choudhary: Current Advanced Research Development of Electric Discharge Machining (EDM): A Review, 'International Journal of Research in Advent Technology', vol. 2, no. 3, March 2014, 86-89.
- Srinivasa Rao, P; Suresh Kumar, J and Vijaya Kumar: Parametric study of electrical discharge machining of AISI 304 stainless steel, 'IJEDR', vol. 2, no. 4, 2014, 2321-9939.
- Chenthil, TM; Jegan, M and Ravindran, D: Determination Of Electro Discharge Machining Parameters In AISI202 Stainless Steel Using Grey Relational Analysis, 'Proceedia Engineering', vol. 38, 2012, 4005-4012.
- Ho, KH and Newman, ST: State of the art electrical discharge machining (EDM), 'International Journal of Machine Tools & Manufacture', vol. 43, 2003, 0890-6955, 1287-1300.
- Experimental Study on the Influence of LBW Process Parameters on Mechanical Properties of Dissimilar Metal Joints
Authors
1 Department of Mechanical Engineering, Sri Venkateswara University, Tirupati, IN
Source
Manufacturing Technology Today, Vol 18, No 5 (2019), Pagination: 21-27Abstract
Laser Beam Welding technique is applied to conduct experiments on joining of dissimilar metals, AISI 4130 and AISI 310 steels so as to study the influence of process parameters on mechanical properties of joints. Taguchi L25 Orthogonal Array is selected to join 2mm thick dissimilar steels by varying Laser Power, Welding Speed, Beam Incident Angle, Focal Point Position and Focal Length. Output results of Ultimate Tensile Strength (UTS) and Impact Strength (IS) are measured. ANOVA is carried out to obtain the levels of influence of process parameters and statistical evolution of the results. TOPSIS optimization is applied to transmogrify a multi-criteria optimization problem into a single-criterion problem, so as to obtain optimal combination of process parameters of Laser Beam Welding. Then UTS and IS are maximised. Results have revealed that the proposed method is appropriate for solving multi-criteria optimization of process parameters.Keywords
Laser Beam Welding, Ultimate Tensile Strength, Impact Strength, Analysis of Variance, TOPSIS.References
- Narayana Reddy, B; Hema, P; Eswara Reddy, C; Padmanabhan, G: ‘Proceeding of 10th International Conference on Precision, Meso, Micro and Nano Engineering Manufacturing Engineering Section’, Department of Mechanical Engineering, IIT Madras, Dec 2017, 20-23.
- Narayana Reddy, B; Hema, P; Padmanabhan, G: ‘Proceedings of the 1st International Congress on latest innovations in Materials Engineering & Technology’, Lendi Institute of Engineering & Technology, June 2018, 24.
- Arun Kumar, S; Paulraj, S: ‘Optimisation of Process Parameters for Gas Tungsten Arc Welding of Incoloy 800HT Using TOPSIS, 'Materials Today: Proceedings', vol. 4, 2017, 2031–2039.
- Sandeep Singh; Sanjeev Kumar; Harvant Singh; Lovedeep Singh: Experimental Investigation on AISI 304l & AISI 310 Alloys Welded by Gas Metal Arc Welding (GMAW) Process, 'ARME, vol. 3, no. 2, 2014, 9-13.
- Naffakha, H; Shamaniana, M; Ashrafizadeha F: ‘Dissimilar welding of AISI 310 austenitic stainless steel to nickel-based alloy Inconel 657, 'Journal of Materials Processing Technology', vol. 209, 2009, 3628-3639.
- Pascua, A; Stanciua, E M; Voiculescub, I; Țiereana M H; Roatăa, L C; Ocaña, J L: Chemical and Mechanical Characterisation of AISI 304 and AISI 1010 Laser Welding, 'Materials and Manufacturing Processes', 2015.
- Elena, MS; Alexandru, P; Mircea, HT; Ionut CR; Ionelia V; Iosif, H; Catalin, C: Dissimilar Laser Welding of AISI 321 and AISI 1010, 'Technical Gazette', vol. 25, no.2, 2018, 344-349.
- Subramanya, RP; Arun, S; Mervin, H; Shrikantha Rao: Multi Response Optimization of Friction Stir Welding Process Variables using TOPSIS approach, 'IOP Conf. Series: Materials Science and Engineering', vol. 376 (012134), 2018, 1-7
- Experimental Analysis of Formulation and Coating Process of LDAM for Thermal Protection Systems
Authors
1 S.V.U. College of Engineering, Tirupati, Andhra Pradesh, IN
Source
Manufacturing Technology Today, Vol 20, No 3-4 (2021), Pagination: 17-26Abstract
The Thermal Protection System (TPS) is a membrane used to avoid aerodynamic heating of metallic and plastic surfaces during flight of missile. Between a heat source and the protected entity, the thermal protection system is interposed. Although the Orbiter’s re-entry surface heating is primarily convective, ample energy in the air molecules disassociated from the shock layer and given the potential for additional heating. Various composite materials are used in thermal insulation systems to achieve higher backwall temperatures in order to maintain high temperatures and pressure upon re-entry. A Low-Density Ablative Material (LDAM) is prepared and coated using the High Velocity Low Pressure (HVLP) method of coating. The process of applying the chemical composition of the present invention shall ideally require spraying at room temperature, without the need to add heat to the treatment of the composition in order to affect the repair and to obtain the optimum dry film thickness specifications. In this present research, the configuration of the Taguchi experiments is considered and a series of experiments are carried out for the coating process using the L9 orthogonal array by varying the control factors such as air pressure, spray time and nozzle size (lock no.) and the performance parameters are optimized such as Dry Film Thickness (DFT) and Back Wall Temperature (BWT) using Taguchi optimization technique to get the optimal input levels. Finally, a validation test is carried out according to the optimal levels obtained from the optimization technique of Taguchi and the most influential parameters are found using ANOVA.Keywords
Thermal Protection Systems, Low Density Ablative Material, High Velocity Low Pressure, Dry Film Thickness (DFT), Back Wall Temperature (BWT), Taguchi, ANOVA.References
- Barnwal, S., & Bissa, B. C. (2015). Thermal Barrier Coating System and Different Processes to apply them – A Review. International Journal of Innovative Research in Science, Engineering and Technology, 4(9), 8506-8512, ISSN: 2347-6710.
- Beth W. M. (1992). VOC Prevention Options for Surface Coating. Alliance technology corporation presented at Clean Air Congress Montreal, 49-51.
- Liang, C-F., & Chievo, C. (2016). Ablative Coating Materials. 3, 34-39.
- Jeffs (2000). HVLP Spray Guns in the Auto Refinishing Shop. United States Environmental Protection Agency Design for The Environment, Auto Refinishing Shop Project EPA 744-F-00-014.
- Rallini, M., Natali, M., & Torre, L. (2019). An Introduction to Ablative Materials and High-Temperature Testing Protocols. Nanomaterials in Rocket Propulsion Systems, 529-549, ISBN: 978-0-12-813908-0.
- Jamaluddin, M. F. R. B. (2015). Characteristic Studies on Types of Paint Spray for Automotive Parts in Small and Medium Industry.
- Wijewardane, S., & Gowswami D. Y. (2012). A Review on Surface Control of Thermal Radiation by Paints and Coatings for New Energy Applications. Renewable and Sustainable Energy Reviews, 16(4), 1863-1873.
- Optimization of Process Parameters for the Machining of High Carbon Martensitic Stainless Steel using Wire EDM
Authors
1 SVU College of Engineering, Tirupati, Andhra Pradesh, IN
2 Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, IN
Source
Manufacturing Technology Today, Vol 21, No 3-4 (2022), Pagination: 17-26Abstract
Wire Electro Discharge Machining (WEDM) process parameters need to be optimized when new material is invented or even if some process variables changed Optimization of the WEDM process for machining of AISI 440C stainless steel using brass wire electrode was studied in this paper. In this work, based on Taguchi's (DOE), an orthogonal array L-12 is developed and experiments are conducted with eleven factors each at two levels. The experimental data is recorded for obtaining the response values of MRR and Kerf width. Grey relational analysis is done along with Taguchi to find the optimum set of input process parameters. The prediction of output values can be done using the Fuzzy logic approach. At last, a confirmation test is done to evaluate the exactness of the values between experimental and predicted, found that the prediction accuracy for MRR is about 94.92% and for Kerf Width is about 82.5%.Keywords
Wire Electrical Discharge Machining (WEDM), Taguchi Technique, Design of Experiments (DOE), Grey Relational Analysis (GRA), Fuzzy Logic, Material Removal Rate (MRR).References
- Chiang, K. T., & Chang, F. P. (2006). Optimization of the WEDM process of particle-reinforced material with multiple performance characteristics using grey relational analysis. Journal of Materials Processing Technology, 180(1-3), 96-101. https://doi.org/10.1016/j.jmatprotec.2006.05.008
- Jeevamalar, J., & Ramabalan, S. (2015). A Review on EDM Process Parameters. International Journal of Applied Engineering Research, 10(51), 840-846.
- Kunieda, M., Lauwers, B., Rajurkar, K. P., & Schumacher, B. M. (2005). Advancing EDM through fundamental insight into the process. CIRP Annals - Manufacturing Technology, 54(2), 64-87. https://doi.org/10.1016/s0007-8506(07)60020-1
- Mishra, D., Vignesh, M. K., Raj, B. G., Srungavarapu, P., Devendranath Ramkumar, K., Arivazhagan, N., & Narayanan, S. (2014). Mechanical characterization of Monel 400 and 316 stainless steel weldments. Procedia Engineering, 75, 24-28. https://doi.org/10.1016/j.proeng.2013.11.005
- Mohammad, A. B., Siddiquee, A. N., Quadir, G. A., Khan, Z. A., & Saini, V. K. (2012). Optimization of EDM Process Parameters using Taguchi method. International Conference on Applications and Design in Mechanical Engineering (ICADME 2012), Penang, Malaysia.
- Pandey, A., & Singh, S. (2010). Current research trends in variants of Electrical Discharge Machining: A review. International Journal of Engineering Science and Technology, 2(6), 2172-2191.
- Sadek, A.A., & Abass, M.,& Zaghloul, B.,& Elrefaey, A., & Ushio, M. (2000). Investigation of dissimilar joint between Low carbon steel and Monel 400. Transactions of JWRI, 29(1), 21-28.
- Satyanarayana, V. V., Reddy, G. M., & Mohandas, T. (2005). Dissimilar metal friction welding of austenitic-ferritic stainless steels. Journal of Materials Processing Technology, 160(2), 128-137. https://doi.org/10.1016/j.jmatprotec.2004.05.017
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- Experimental Research on the Effects of Machine Process Parameters on the Compressive and Flexural Strength of PLA Material Printed Using FDM
Authors
1 S. V. U. College of Engineering Tirupati, IN
Source
Manufacturing Technology Today, Vol 21, No 11-12 (2022), Pagination: 3 - 10Abstract
Polylactic acid (PLA), also known as polylactide, is a thermoplastic polyester that is commonly used in Fused deposition modeling (FDM) 3D printing and is considered one of the world's far more widely used bio-plastics. PLA is considered biodegradable and environmentally beneficial, unlike petrochemical-based polymers. This is a low-cost product that could be used in a variety of applications, including food packaging, tissue scaffolding, and biomedical devices. This proposed study is primarily concerned with an in-depth investigation of polylactic acid's mechanical strength and its optimization. The L-9 orthogonal array is adopted by utilizing the Taguchi design of experiments, with input characteristics such as Printing speed, Infill density, and Layer height for the fabrication of nine different sets of flexural and compressive specimens as per ASTM standards using FDM. The responses such as compressive strength and flexural strength are optimized using Taguchi Analysis – S/N Ratios and ANOVA. Similarly, this research reveals a statistical link between input elements and responses. According to the current study, the ideal parameter levels for Flexural and Compression strengths have been found and confirmation Tests have also been conducted according to the optimized process parameter levels as obtained in the Taguchi analysis.Keywords
Polylactic Acid (PLA), 3D Printing, Fused Deposition Modeling (FDM), Additive Manufacturing (AM)References
- Armentano, I., Bitinis, N., Fortunati, E., Mattioli, S., Rescignano, N., Verdejo, R., Lopez-Manchado, M. A., & Kenny, J. M. (2013). Multifunctional nanostructured PLA materials for packaging and tissue engineering. Progress in Polymer Science, 38(10-11), 1720-1747. https://doi.org/10.1016/jprogpolymsci.2013.05.010 2. Dev, S., & Srivastava, R. (2019). Experimental investigation and optimization of FDM process parameters for material and mechanical strength. Materials Today: Proceedings, 26, 1995-1999. https://doi.org/10.1016/j.matpr.2020.02.435
- Hamad, K., Kaseem, M., Yang, H. W., Deri, F., & Ko, Y. G. (2015). Properties and medical applications of polylactic acid: A review. Express Polymer Letters, 9(5), 435-455. https://doi.org/10.3144/ expresspolymlett.2015.42
- Hikmat, M., Rostam, S., & Ahmed, Y. M. (2021). Investigation of tensile property-based Taguchi method of PLA parts fabricated by FDM 3D printing technology. Results in Engineering, 11. https://doi. org/10.1016/j.rineng.2021.100264
- Kumar, M. A., Khan, M. S., & Mishra, S. B. (2020). Effect of machine parameters on strength and hardness of FDM printed carbon fiber reinforced PETG thermoplastics. Materials Today: Proceedings, 27, 975-983. https://doi.org/10.1016/j. matpr.2020.01.291
- Lee, B. H., Abdullah, J., & Khan, Z. A. (2005). Optimization of rapid prototyping parameters for production of flexible ABS object. Journal of Materials Processing Technology, 169(1), 54-61. https://doi. org/10.1016/j.jmatprotec.2005.02.259
- Lee, C. S., Kim, S. G., Kim, H. J., & Ahn, S. H. (2007). Measurement of anisotropic compressive strength of rapid prototyping parts. Journal of Materials Processing Technology, 187-188, 627-630. https:// doi.org/10.1016/j.jmatprotec.2006.11.095
- Liu, X., Zhang, M., Li, S., Si, L., Peng, J., & Hu, Y. (2017). Mechanical property parametric appraisal of fused deposition modeling parts based on the gray Taguchi method. International Journal of Advanced Manufacturing Technology, 89(5-8), 2387-2397. https://doi.org/10.1007/s00170-016-9263-3
- Mohamed, O. A., Masood, S. H., & Bhowmik, J. L. (2015). Optimization of fused deposition modeling process parameters: a review of current research and future prospects. Advances in Manufacturing, 3(1), 42-53. https://doi.org/10.1007/s40436-014-0097-7
- Rajpurohit, S. R., & Dave, H. K. (2019). Analysis of tensile strength of a fused filament fabricated PLA part using an open-source 3D printer. International Journal of Advanced Manufacturing Technology, 101(5-8), 1525-1536. https://doi.org/10.1007/s00 170-018-3047-x
- Shanmugasundar, G., Karthikeyan, B., Santhosh Ponvell, P., & Vignesh D, V. (2019). Optimization of Process Parameters in TIG Welded Joints of AISI 304L-Austenitic Stainless Steel using Taguchi’s Experimental Design Method. In Materials Today: Proceedings, 16(4), 1188-1195
- Sreekumar, K., Bindhu, B., & Veluraja, K. (2021). Perspectives of polylactic acid from structure to applications. Polymers from Renewable Resources, 12(1-2), 60-74. https://doi.org/10.1177/ 20412479211008773
- Yao, T., Ye, J., Deng, Z., Zhang, K., Ma, Y., & Ouyang, H. (2020). Tensile failure strength and separation angle of FDM 3D printing PLA material: Experimental and theoretical analyses. Composites Part B: Engineering, 188. https://doi.org/10.1016/ j.compositesb.2020.107894
- Zhang, J., Wang, S., Qiao, Y., & Li, Q. (2016). Effect of morphology designing on the structure and properties of PLA/PEG/ABS blends. Colloid and Polymer Science, 294(11), 1779-1787. https://doi. org/10.1007/s00396-016-3940-5