Parametric optimization of fused deposition modelling process using Grey based Taguchi and TOPSIS methods for an automotive component

Emerald - Tập 27 Số 1 - Trang 155-175 - 2021
Sakthivel Murugan R., S. Vinodh

Tóm tắt

Purpose This paper aims to optimize the process parameters of the fused deposition modelling (FDM) process using the Grey-based Taguchi method and the results to be verified based on a technique for order preference by similarity to ideal solution (TOPSIS) and analytical hierarchy process (AHP) calculation. Design/methodology/approach The optimization of process parameters is gaining a potential role to develop robust products. In this context, this paper presents the parametric optimization of the FDM process using Grey-based Taguchi, TOPSIS and AHP method. The effect of slice height (SH), part fill style (PFS) and build orientation (BO) are investigated with the response parameters machining time, surface roughness and hardness (HD). Multiple objective optimizations were performed with weights of w1 = 60%, w2 = 20% and w3 = 20%. The significance of the process parameters over response parameters is identified through analysis of variance (ANOVA). Comparisons are made in terms of rank order with respect to grey relation grade (GRG), relative closeness and AHP index values. Response table, percentage contributions of process parameters for both GRG and TOPSIS evaluation are done. Findings The optimum factor levels are identified using GRG via the Grey Taguchi method and TOPSIS via relative closeness values. The optimized factor levels are SH (0.013 in), PFS (solid) and BO (45°) using GRG and SH (0.013 in), PFS (sparse-low density) and BO (45°) using TOPSIS relative closeness value. SH has higher significance in both Grey relational analysis and TOPSIS which were analysed using ANOVA. Research limitations/implications In this research, the multiple objective optimizations were done on an automotive component using GRG, TOPSIS and AHP which showed a 27% similarity in their ranking order among the experiments. In the future, other advanced optimization techniques will be applied to further improve the similarity in ranking order. Practical implications The study presents the case of an automotive component, which illustrates practical relevance. Originality/value In several research studies, optimization was done on the standard test specimens but not on a real-time component. Here, the multiple objective optimizations were applied to a case automotive component using Grey-based Taguchi and verified with TOPSIS. Hence, an effort has been taken to find optimum process parameters on FDM, for achieving smooth, hardened automotive components with enhanced printing time. The component can be explored as a replacement for the existing product.

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Tài liệu tham khảo

2011, Application of grey-based Taguchi method for simultaneous optimization of multiple quality characteristics in laser transmission welding process of thermoplastics, The International Journal of Advanced Manufacturing Technology, 56, 995

2010, Application of Grey based Taguchi method in multi-response optimization of turning process, Advances in Production Engineering & Management, 5, 171

2001, Critical parameters influencing the quality of prototypes in fused deposition modelling, Journal of Materials Processing Technology, 118, 385

2017, Influence of scan strategy and process parameters on microstructure and its optimization in additively manufactured nickel alloy 625 via laser powder bed fusion, The International Journal of Advanced Manufacturing Technology, 90, 1393

ASTM International (2013), F2792-12a - Standard Terminology for Additive Manufacturing Technologies, ATSM, doi: 10.1520/F2792-12A.2.

2017, Indentation hardness measurements at macro-, micro-, and nanoscale: a critical overview, Tribology Letters, 65

2017, Additive manufacturing of PLA structures using fused deposition modelling: effect of process parameters on mechanical properties and their optimal selection, Materials & Design, 124, 143, 10.1016/j.matdes.2017.03.065

2019, Effect of fused deposition modelling process parameters on mechanical properties of 3D printed parts, World Journal of Engineering, 16, 550, 10.1108/WJE-09-2018-0329

2006, Optimization of stereolithography process parameters for part strength using design of experiments, The International Journal of Advanced Manufacturing Technology, 29, 79

2013, Study and optimisation of FDM process parameters for support-material-free deposition of filaments and increased layer adherence: this paper investigates control factors and process parameters that allow the fabrication of negative surface features without a support material, Virtual and Physical Prototyping, 8, 127, 10.1080/17452759.2013.790599

2012, Influence of process parameters on part quality and mechanical properties for DMLS and SLM with iron-based materials, The International Journal of Advanced Manufacturing Technology, 60, 601

2018, Optimizing process parameters of fused deposition modeling by Taguchi method for the fabrication of lattice structures, Additive Manufacturing, 19, 62, 10.1016/j.addma.2017.11.004

2016, Effect of infill parameters on tensile mechanical behavior in desktop 3D printing, 3D Printing and Additive Manufacturing, 3, 183, 10.1089/3dp.2015.0036

2017, Multi-objective optimization of dimensional accuracy, surface roughness and hardness of hybrid investment cast components, Rapid Prototyping Journal, 23, 845, 10.1108/RPJ-10-2015-0149

2016, A design of experiments approach for the optimisation of energy and waste during the production of parts manufactured by 3D printing, Journal of Cleaner Production, 139, 74, 10.1016/j.jclepro.2016.07.182

2013, Fiber Bragg grating based investigation of residual strains in ABS parts fabricated by fused deposition modeling process, Materials & Design, 50, 44, 10.1016/j.matdes.2013.02.067

2007, Investigation of LOM process quality using design of experiments approach, Rapid Prototyping Journal, 13, 316, 10.1108/13552540710824823

2012, Applied Design of Experiments and Taguchi Methods

2012, An application of Taguchi’s technique to improve the accuracy of rapid prototyped FDM parts, International Journal of Materials Engineering Innovation, 3, 228, 10.1504/IJMATEI.2012.049263

2008, A robust process optimisation for fused deposition modelling, International Journal of Manufacturing Technology and Management, 14, 228, 10.1504/IJMTM.2008.017497

2008, The use of a grey-based Taguchi method for optimizing multi-response simulation problems, Engineering Optimization, 40, 517, 10.1080/03052150701857645

2009, Application of Taguchi methods in the optimization of cutting parameters for surface finish and hole diameter accuracy in dry drilling processes, The International Journal of Advanced Manufacturing Technology, 40, 458

2009, Taguchi optimization of multi-objective CNC machining using TOPSIS, Information Technology Journal, 8, 917, 10.3923/itj.2009.917.922

2005, A decision support system for the selection of a rapid prototyping process using the modified TOPSIS method, The International Journal of Advanced Manufacturing Technology, 26, 1338, 10.1007/s00170-004-2099-2

2016, An overview of 3-D printing in manufacturing, aerospace, and automotive industries, IEEE Potentials, 35, 18, 10.1109/MPOT.2016.2540098

2002, Optimization of the EDM process based on the orthogonal array with fuzzy logic and grey relation alanalysis method, The International Journal of Advanced Manufacturing Technology, 19, 271, 10.1007/s001700200034

2017, Tensile strength of partially filled FFF printed parts: meta modelling, Rapid Prototyping Journal, 23, 524, 10.1108/RPJ-10-2015-0151

2015, An exploratory study: the impact of additive manufacturing on the automobile industry, International Journal of Current Engineering and Technology, 5, 3407

2017, Engineering science and technology, an international journal multiple performance optimization of electrochemical drilling of inconel 625 using Taguchi based grey relational analysis, Engineering Science and Technology, an International Journal, 20, 662, 10.1016/j.jestch.2016.12.002

2015, Studies on parametric optimization for fused deposition modelling process, Materials Today: Proceedings, 2, 1691

2001, Mechanical behavior of acrylonitrile butadiene styrene (ABS) fused deposition materials. Experimental investigation, Rapid Prototyping Journal, 7, 148, 10.1108/13552540110395547

2011, Multi-criteria decision making models by applying the TOPSIS method to crisp and interval data, In Multiple Criteria Decision Making, 6, 200

2002, Decision Making with the Analytic Hierarchy Process

2013, A study on dimensional accuracy of fused deposition modeling (FDM) processed parts using fuzzy logic, Journal for Manufacturing Science & Production, 13, 183, 10.1515/jmsp-2013-0010

2010, An experimental design approach to manufacture of parts using fused deposition modelling, International Journal of Rapid Manufacturing, 1, 422, 10.1504/IJRAPIDM.2010.036115

2019, Large-scale 3D printers for additive manufacturing: design considerations and challenges, International Journal of Advanced Manufacturing Technology, 104, 1

2016, Fast deviation simulation for ‘fused deposition modeling’, Procedia Cirp, 43, 327, 10.1016/j.procir.2016.02.004

2020, Fused deposition modeling process parameters optimization and effect on mechanical properties and part quality: review and reflection on present research, Materials Today: Proceedings, 21, 1659

2017, Optimization of binder jetting using Taguchi method, JOM: The Journal of the Minerals, Metals & Materials Society, 69, 491, 10.1007/s11837-016-2231-4

2016, Development of functionally graded material by fused deposition modelling assisted investment casting, Journal of Manufacturing Processes, 24, 38, 10.1016/j.jmapro.2016.06.002

2016, Repeatability of linear and radial dimension of ABS replicas fabricated by fused deposition modelling and chemical vapor smoothing process: a case study, Measurement, 94, 5, 10.1016/j.measurement.2016.07.064

2009, Improving dimensional accuracy of fused deposition modelling processed part using grey Taguchi method, Materials & Design, 30, 4243, 10.1016/j.matdes.2009.04.030

2004, Optimum part deposition orientation in fused deposition modeling, International Journal of Machine Tools and Manufacture, 44, 585, 10.1016/j.ijmachtools.2003.12.004

2016, Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis, Engineering Science and Technology, an International Journal, 19, 62, 10.1016/j.jestch.2015.07.010

2017, Multi-response optimization of machining process parameters for powder mixed electro-discharge machining of H-11 die steel using grey relational analysis and topsis, Machining Science and Technology, 21, 362, 10.1080/10910344.2017.1283957

1981, Multiple Attribute Decision Making

2007, Optimizing the rapid prototyping process by integrating the Taguchi method with the Gray relational analysis, Rapid Prototyping Journal, 13, 304, 10.1108/13552540710824814

2008, Performance evaluation of image fusion techniques, Image Fusion, 469, 10.1016/B978-0-12-372529-5.00017-2

2016, Multi-criteria supplier selection model using the analytic hierarchy process approach, Journal of Modelling in Management, 11, 326, 10.1108/JM2-06-2014-0052

2005, Solving a multiresponse simulation-optimization problem with discrete variables using a multiple-attribute decision-making method, Mathematics and Computers in Simulation, 68, 9, 10.1016/j.matcom.2004.09.004

1998, Design optimization of cutting parameters for turning operations based on the Taguchi method, Journal of Materials Processing Technology, 84, 122

2017, Material jetting additive manufacturing: an experimental study using designed metrological benchmarks, Precision Engineering, 50, 275, 10.1016/j.precisioneng.2017.05.015

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, 1215

2000, Parametric process optimization to improve the accuracy of rapid prototyped stereolithography parts, International Journal of Machine Tools and Manufacture, 40, 363, 10.1016/S0890-6955(99)00068-1

2017, Experimental and numerical investigation of the thermal behaviour of polylactic acid during the fused deposition process, Virtual and Physical Prototyping, 12, 221, 10.1080/17452759.2017.1317214