Technology Selection for Additive Manufacturing in Industry 4.0 Scenario Using Hybrid MCDM Approach

Malaga, Anilkumar; Vinodh, S.

doi:10.1007/978-981-19-0561-2_19

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…Various MCDM tools, such as BWM (Best Worst Method), AHP (Analytical Hierarchy Process), ANP (Analytical Network Process), COPRAS (COmplex PRoportional Assessment), TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), FAHP (Fuzzy Analytical Hierarchy Process) and PROMETHEE (Preference Ranking Organization Method for Enrichment of Evaluations), are utilized. The decision-making process involves creating a pairwise matrix based on the decision maker's opinions, converting it into numerical values ranging from 0 to 9 (depending on the MCDM tool/technique) [40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57] . Subsequently, the pairwise matrix undergoes evaluation through fundamental steps like criteria weight determination, consistency ratio assessment, and random index calculation [58][59][60][61][62][63] .…”

Section: Multi-criteria Decision-making (Mcdm)mentioning

confidence: 99%

Effect of fused deposition modeling process parameter in influence of mechanical property of acrylonitrile butadiene styrene polymer

Subramani,

Kalidass,

Muneeswaran

et al. 2024

Appl. Chem. Eng.

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The objective of this study is to investigate how the mechanical properties of components produced using acrylonitrile butadiene styrene (ABS) on a Creality Ender-3 3D printer are affected by various fused deposition modeling (FDM) printing parameters. The impact of various factors, including infill density, printing speed, platform temperature, extruder temperature, and so on, was assessed in terms of their influence on the ultimate tensile strength, yield strength, and elastic modulus of the manufactured components. The impact of each parameter was assessed using a Multi-criteria decision-making (MCDM) methodology. Finally, the second set of parameters, including a 35% infill thickness, 0.25 mm layer level, 40 mm/s printing speed, 75 °C platform temperature, 210 °C extruder temperature, and 75 mm/s travel speed, was discovered to be the most suitable for ABS filament used to make impellers.

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Section: Multi-criteria Decision-making (Mcdm)mentioning

confidence: 99%

Effect of fused deposition modeling process parameter in influence of mechanical property of acrylonitrile butadiene styrene polymer

Subramani,

Kalidass,

Muneeswaran

et al. 2024

Appl. Chem. Eng.

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“…The accompanying previous research utilized MCDM approaches to select problems in additive manufacturing. In order to choose the best additive manufacturing technology for a customized product in Industry 4.0, Malaga et al [34] used the hybrid MCDM method. Raja et al [4] applied the MCDM strategy to choose the appropriate additive manufacturing machine from the 3D printer client's perspective, utilizing the Fuzzy TOPSIS technique.…”

Section: Mathematical Programming Techniquementioning

confidence: 99%

Selection and Optimization of Carbon-Reinforced Polyether Ether Ketone Process Parameters in 3D Printing—A Rotating Component Application

Subramani,

Vijayakumar,

Rusho

et al. 2024

Polymers

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The selection of process parameters is crucial in 3D printing for product manufacturing. These parameters govern the operation of production machinery and influence the mechanical properties, production time, and other aspects of the final product. The optimal process parameter settings vary depending on the product and printing application. This study identifies the most suitable cluster of process parameters for producing rotating components, specifically impellers, using carbon-reinforced Polyether Ether Ketone (CF-PEEK) thermoplastic filament. A mathematical programming technique using a rating method was employed to select the appropriate process parameters. The research concludes that an infill density of 70%, a layer height of 0.15 mm, a printing speed of 60 mm/s, a platform temperature of 195 °C, an extruder temperature of 445 °C, and an extruder travel speed of 95 mm/s are optimal process parameters for manufacturing rotating components using carbon-reinforced PEEK material.

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“…More demanding customer requirements and greater organizational pressures have increased the need for more customized products and processes in the manufacturing sector. Additive manufacturing (AM) technologies may offer a flexible and cost-effective means of meeting these challenges [2]. Rapid tooling (RT) is a methodology which involves the application of AM in the production of small-and medium-sized batches of plastic or metallic tools [3,4].…”

Section: Introductionmentioning

confidence: 99%

Deep Drawing of AISI 304 Blanks with Polymer Punches Produced by Additive Manufacturing: Effects of Process Scalability

Giorleo

2022

Applied Sciences

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Rapid tooling is a methodology which aims to integrate additive manufacturing into the production of tools to be used in casting, forming or machining processes. In forming, rapid tooling is applied in the production of metallic or plastic tools that guarantee good performance in small- and medium-sized batch production. However, most punches tested to date have dimensions measured in millimeters and are therefore unsuitable for typical real-world industrial processes. In this study, the performance of plastic punches with geometries designed for industrial application was investigated. A deep drawing process involving AISI 304 blanks was created for the manufacturing of cups. Experimental and numerical analyses were conducted to measure the quality of the cups produced and the behaviour of the punches involved. The results indicate that when punch dimensions increase, a more precise cup geometry is produced (99% of drawing depth, 98% of cup precision on the fillet radius, and roundness error equal to 0.53%).

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Technology Selection for Additive Manufacturing in Industry 4.0 Scenario Using Hybrid MCDM Approach

Cited by 4 publications

References 18 publications

Effect of fused deposition modeling process parameter in influence of mechanical property of acrylonitrile butadiene styrene polymer

Effect of fused deposition modeling process parameter in influence of mechanical property of acrylonitrile butadiene styrene polymer

Selection and Optimization of Carbon-Reinforced Polyether Ether Ketone Process Parameters in 3D Printing—A Rotating Component Application

Deep Drawing of AISI 304 Blanks with Polymer Punches Produced by Additive Manufacturing: Effects of Process Scalability

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