Fuzzy TOPSIS-Based Selection of Laser Beam Micro-marking Process Parameters

Shivakoti, Ishwer; Pradhan, B. B.; Diyaley, Sunny; Ghadai, Ranjan Kumar; Kalita, Kanak

doi:10.1007/s13369-017-2673-1

Cited by 46 publications

(24 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fuzzy-TOPSIS is domain independent and thus may be applied virtually to any problem. Several research groups like Shiraz, Mirac, Sengul and coworkers (SENGUL et al, 2015;SHIRAZ et al, 2014;BAKIRCI et al 2014;SENGUL et al, 2016;EREN, 2018;SHIVAKOTI et al, 2017;DIYALEY et al, 2017;DAS et al, 2017;RAGAVENDRAN et al, 2018;AZIZI et al, 2015) has regularly used Fuzzy-TOPSIS or its variants in a wide range of problems.…”

Section: Hybrid Fuzzy-topsis and Taguchi Optimizationmentioning

confidence: 99%

Feasibility analysis of design for remanufacturing in bearing using hybrid fuzzy-topsis and taguchi optimization

Fegade

Shrivastava

Kale

et al. 2020

Ind. Jour. Manag. & Prod.

View full text Add to dashboard Cite

The tremendous advancement in technology, productivity and improved standard of living has come at the cost of environmental deterioration, increased energy and raw material consumption. In this regard, remanufacturing is viable option to reduce energy usage, carbon footprint and raw material usage. In this manuscript, using computational intelligence techniques we try to determine the feasibility of remanufacturing in case of roller bearings. We collected used N308 bearings from 5 different Indian cities. Using Fuzzy-TOPSIS, we found that the roundness, surface roughness and weight play a vital role in design for remanufacturing of roller bearings. Change in diameter, change in thickness and change in width showed minimal influence. We also used Taguchi analysis to reassess the problem. The roundness of inner and outer race was found to be the most influential parameters in deciding the selection of bearing for remanufacturing. The results suggest the bearing designer to design the bearing in such a way that roundness of both races will be taken cared while manufacturing a bearing. However, using Taguchi the weight of the rollers was found to be of least influence. Overall, the predictions of Taguchi analysis were found to be similar to Fuzzy-TOPSIS analysis.

show abstract

Section: Hybrid Fuzzy-topsis and Taguchi Optimizationmentioning

confidence: 99%

Feasibility analysis of design for remanufacturing in bearing using hybrid fuzzy-topsis and taguchi optimization

Fegade

Shrivastava

Kale

et al. 2020

Ind. Jour. Manag. & Prod.

View full text Add to dashboard Cite

show abstract

“…It is a versatile approach involving a simple mathematical model. Furthermore, relying on computer support, it is a very suitable practical method [13].…”

Section: Topsismentioning

confidence: 99%

PSI and TOPSIS Based Selection of Process Parameters in WEDM

Diyaley

Shilal²,

Shivakoti

et al. 2017

Period. Polytech. Mech. Eng.

Self Cite

View full text Add to dashboard Cite

IntroductionWith the development of technology, more challenging problems are being faced by the technologists in the field of manufacturing. The difficulty in adopting the conventional manufacturing processes can be attributed mainly to the machining principle that requires a cutting tool which must be harder than the material of the work-piece. New materials which have a high strength-to-weight ratio, heat resistance and high hardness are tough to machine and also timeconsuming by conventional methods. Hence, advanced machining processes are being developed to overcome these difficulties. These newly developed techniques provide a very high accuracy and can machine complexly shaped surfaces. These processes, however, are not meant for replacing the conventional processes but are a supplement to them.Optimization and selection of proper process parameters play a vital role in any of the manufacturing or metal processing industries. Selection of proper cutting conditions is essential for efficient machining. Improper selection of machining parameters leads to several adverse effects during machining. Optimization technique provides a proper selection of cutting parameters. Many research attempts have been made to select the proper cutting parameters in WEDM. In past response surface methodology has been used to enumerate the relationship between input and output responses in the WEDM process and the effects of input process parameters on MRR and surface roughness were studied by Gowd et al. [1]. Tilekar et al. [2] investigated to analyze the effect of process parameters on surface roughness and kerf width of aluminium and mild steel. Taguchi method opted for the optimization. Spark on time, spark off time, input current and wire feed rate were used as input parameters and ANOVA results showed that spark on time and input current have statistically significant effect in the case of aluminium and mild steel respectively. Dabade and Karidkar [3] analyzed the machining conditions of material removal rate, surface roughness and kerf width and dimensional deviation during WEDM of Inconel 718 using Taguchi technique. It was observed that pulse on time was the most influencing factor. Patel et al. [4] applied AHP/TOPSIS

show abstract

“…Temucin et al [14] built up a fuzzy-based choice help for demonstrating NTMPs choice through application of Topsis and fuzzy-Topsis strategies. Shivakoti et al [15] used the triangular fuzzy member for ascertain the weight performance criteria, and fuzzy-Topsis. Kumar et al [16] applied the Taguchi and Topsis techniques in the EDM machining process with conventional electrodes on M2 tool steel with aluminum power and without aluminum powder.…”

Section: Introductionmentioning

confidence: 99%

Optimization of end milling on Al–SiC-fly ash metal matrix composite using Topsis and fuzzy logic

et al. 2019

View full text Add to dashboard Cite

Metal matrix composites are extensively used in aerospace, automobile and other engineering applications as an alternative to a wide range of elements. High strength-weight ratio, durability and high corrosion resistance are benefits of metal matrix composites. The study that exhibits adopts optimal cutting parameters (speed, feed and depth of cut). The initial study is to explore end milling process of alumina (AA6082 with SiC 3% and fly ash 2%) molted metal matrix composite. The technique for order preference by similarity to ideal solution and fuzzy logic for optimizing the cutting parameter values has been utilized in the MMC. The response surface methodology is being used to develop the numerical model between output responses and machining parameters. The second-order regression models are studied through analysis of variance. The experimental investigation exhibits that feed rate is the important factor on response variables.

show abstract

Fuzzy TOPSIS-Based Selection of Laser Beam Micro-marking Process Parameters

Cited by 46 publications

References 17 publications

Feasibility analysis of design for remanufacturing in bearing using hybrid fuzzy-topsis and taguchi optimization

Feasibility analysis of design for remanufacturing in bearing using hybrid fuzzy-topsis and taguchi optimization

PSI and TOPSIS Based Selection of Process Parameters in WEDM

Optimization of end milling on Al–SiC-fly ash metal matrix composite using Topsis and fuzzy logic

Contact Info

Product

Resources

About