TOPSIS based parametric optimization of laser micro-drilling of TBC coated nickel based superalloy

Parthiban, K.; Duraiselvam, Muthukannan; Manivannan, Ramalingam

doi:10.1016/j.optlastec.2017.12.012

Cited by 32 publications

(7 citation statements)

References 22 publications

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“…This approach is based on the concept that the chosen alternative should have the shortest distance from the positive ideal solution and the farthest distance from the negative ideal solution. TOPSIS assumes that the users have m alternatives and n criteria, users have the score of each alternative with respect to each criterion There are five steps by Parthiban et al [37], Karahalios [38], and Yang et al [39] as follows:…”

Section: Part Iv: Routing Algorithmmentioning

confidence: 99%

An Integrated Potential Assessment Criteria and TOPSIS Based Decision Support System for Road Freight Transportation Routing

Meethom¹,

Koohathongsumrit²

2019

j.ijast

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The objective of this study was to develop a Decision Support System (DSS) to select the best road freight transportation route. This DSS considers transportation cost, transportation time, and road physical route characteristic scores which are calculated by standard criteria. These criteria are composed of four groups: road elements, blackspots, transportation facilitation, and road competency. Moreover, the descriptions of each scale were constructed by the Delphi method based on suitability and facilitation of freight transportation. Each criterion has different methods to calculate the potential scores. Fuzzy Analytic Hierarchy Process (FAHP) was combined in the route selection algorithm which was a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This technique provides solutions to problems involving conflicting and multiple objectives. TOPSIS is applied for the final ranking of solutions used by the freight transportation routing implementation. The case of a logistic service provider company was used to evaluate the proposed DSS. The empirical study showed that the developed DSS works successfully.

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Section: Part Iv: Routing Algorithmmentioning

confidence: 99%

An Integrated Potential Assessment Criteria and TOPSIS Based Decision Support System for Road Freight Transportation Routing

Meethom¹,

Koohathongsumrit²

2019

j.ijast

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“…Nguyen et al [ 24 ] implemented combined Taguchi-TOPSIS techniques for multi-response optimization of EDM process. Parthiban et al [ 25 ] optimized process parameters for Laser machining of alloys by TOPSIS method. Ladeesh and Manu [ 26 ] used the TOPSIS method for optimization of quality characteristics in grinding assisted ECDM of glass.…”

Section: Introductionmentioning

confidence: 99%

Multi Response Optimization of ECDM Process for Generating Micro Holes in CFRP Composite Using TOPSIS Methodology

Singh

Arora

et al. 2022

Polymers

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The applications of carbon fiber reinforced polymer composites (CFRPCs) in aerospace, automotive, electronics and lab-on-chip devices require precise machining processes. Over the past decade, there have been numerous attempts to machine CFRPCs using both traditional and unconventional machining techniques. However, because of their limitations, these methods have not gained widespread acceptance. In the present research investigation, Electrochemical Discharge Machining (ECDM) process has been employed to produce micro-holes on CFRPC. The experimental strategy was scheduled using L9 orthogonal array keeping applied voltage, electrolyte concentration and inter-electrode gap as input parameters. The material removal rate (MRR) and overcut were selected as output parameters. The technique for order preference by similarity to the ideal solution (TOPSIS) methodology was executed for multi-response optimization. The overcut and MRR of machined samples improved from 150 µm to 48 µm and 2.232 mg/min to 2.1267 mg/min correspondingly while using the optimum parametric settings of the TOPSIS approach. The shape of drilled micro-holes produced by the TOPSIS process is indicative of a machined surface of superior quality, with a reduction in the number of micro-cracks and a diameter that is uniform.

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“…Selective laser melting direction is one of the important factors affecting the performance of the formed parts [16,17]. At present, most of the forming parameters are obtained without considering the forming direction (the angle with the xy plane is default as 90°), but practically, the changes in the angle with the xy plane and the angle with the xz plane bring significant variation of density, surface roughness (step effect), and mechanical properties of the formed parts [18][19][20]. In the laser forming process, the thermal gradient and the cooling rate of the formed part change with the forming angle and a complex dynamic fluid flow is generated in the molten pool.…”

Section: Introductionmentioning

confidence: 99%

Study of Microstructure and Properties of 316L with Selective Laser Melting Based on Multivariate Interaction Influence

Sun

Shen

Wang

et al. 2020

Advances in Materials Science and Engineering

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The selective laser melting technique is widely used in aerospace and biomedical industries, and the performance of formed 316L parts is significantly subject to the forming angle. As the selective laser melting 316L parts are constrained by multiple performance indexes, the study involves multivariate interaction influenced on the forming parameters such as the angle with the xz plane, the angle with the xy plane, laser power, scan speed, powder thickness, and hatching space on the indexes like tensile strength, density, and surface roughness with linear regression equations based on multiobjective optimization to obtain the best process parameters. The study results of microstructure performance of the formed 316L parts show that the angle with the xz plane has significant effect on the experiment indexes, while the layer thickness has the greatest effect on the indexes. After stretching, the molten pools are obviously elongated and the microstructure of the formed 316L parts is composed of equiaxed crystals and columnar crystals with a grain width of 0.28–0.4 nm. The secondary growth of the dendrites is not obvious, and the crystallinity of the selective laser melting 316L parts is not as good as the standard parts, with the microstructure showing directional solidification due to grain refinement and microscopic distortion of crystals. As the fracture has dimples, it is a ductile fracture and typical plastic fracture. The hardness near the fracture is higher than that of the substrate, whilst the indexes regarding the selective laser melting parts are higher than the ASTM-A182 and ASTM-F3184-16 standards. Since the theoretical model built in this study has less error, the findings have practical engineering application value.

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TOPSIS based parametric optimization of laser micro-drilling of TBC coated nickel based superalloy

Cited by 32 publications

References 22 publications

An Integrated Potential Assessment Criteria and TOPSIS Based Decision Support System for Road Freight Transportation Routing

An Integrated Potential Assessment Criteria and TOPSIS Based Decision Support System for Road Freight Transportation Routing

Multi Response Optimization of ECDM Process for Generating Micro Holes in CFRP Composite Using TOPSIS Methodology

Study of Microstructure and Properties of 316L with Selective Laser Melting Based on Multivariate Interaction Influence

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