Optimisation of laser welding parameters for incoloy 800HT joints using Grey-fuzzy Taguchi approach

Maheswaran, C B; Bharathi, R. Jayendra; Joshua, S. Paul; Srirangan, Arun Kumar

doi:10.1016/j.matpr.2018.03.004

Cited by 14 publications

(4 citation statements)

References 10 publications

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“…Additionally, the existing methodologies' approach to determining response weights can occasionally be subjectively driven, necessitating a more empirically grounded methodology for the determination of response weights. The Grey Relational Analysis method (GRA) emerges as a fitting contender for the scientifically driven determination of response weights [11,12] .…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of laser-cladded AISI M2 based on GRA-TOPSIS method

Geng,

Xu,

Zhu

2024

Fifth International Conference on Optoelectronic Science and Materials (ICOSM 2023)

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AISI A2 tool steel is commonly employed as a material for bending molds. However, its relatively low wear resistance and microhardness significantly impact the precision of formed workpieces. This study aims to address these challenges by applying the laser cladding technique to produce an AISI M2 coating. Sixteen distinct experimental setups were devised using an orthogonal approach. The mechanical performance of the coatings, encompassing microhardness, friction performance, wear resistance, and bond strength, was systematically explored across various process parameters, including overlap rate, laser power, scanning speed, and powder feed rate. A novel algorithm was introduced to comprehensively evaluate the coating's performance. The Grey Relational Analysis (GRA) method was employed to determine the weights associated with different performance responses. In conjunction with the TOPSIS method, this algorithm facilitated comprehensive performance scoring across the 16 experimental groups. Finally, leveraging signalto-noise ratio analysis (SNR) and analysis of variance (ANOVA), the optimal process parameters were identified: an overlap rate (O) of 30%, scanning speed (S) of 3 mm/s, laser power (P) of 800 W, and powder feed rate (F) of 0.9 g/min. Validation experiments conclusively demonstrated that the coating showcased superior comprehensive performance under these rigorously determined process parameters.

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Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of laser-cladded AISI M2 based on GRA-TOPSIS method

Geng,

Xu,

Zhu

2024

Fifth International Conference on Optoelectronic Science and Materials (ICOSM 2023)

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“…Fuzzy logic is a mathematical theory of precise reasoning that allows human thought processes to be modeled in language. Fuzzy logic control allows uncertainty in processing parameter values [11]. Fuzzy logic is a mapping of an input space into an output space [12].…”

Section: Introductionmentioning

confidence: 99%

The Implementation of the Taguchi Method With Trapezoidal Fuzzy Number in the Tofu Production Process

Wungguli,

Isa,

Payu

et al. 2023

BAREKENG: J. Math. & App.

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Indonesians consume more tofu every week, proving that it is one of the country's most well-liked and potential food ingredients. Therefore, several people benefit from this positive potential as a business opportunity and improve the quality of their products as part of a market competition strategy. This study uses the Taguchi method and fuzzy logic to optimize the multi-response characteristic tofu production process. These multi-responses include water and protein content, each of which has the characteristics of "nominal is best" and "larger is better". In this experiment, three independent variables were varied: soybean soaking time, soybean porridge boiling time, and tofu lump pressing time. The experimental design used is the orthogonal matrix L9. This study aims to determine the optimal combination of independent variables and determine the contribution of each varible to the multi-response of water content and protein content simultaneously. The findings indicated that soaking soybeans for 4 hours, boiling soybean porridge for 70 minutes, and pressing tofu lumps for 20 minutes are the ideal settings to produce optimal multi-response simultaneously. Additionally, the duration of soybeans soaking contributed 14,74%, the duration of boiling soybean porridge contributed 29,50%, and the duration of pressing lumps of tofu contributed 38,18% to the multi-response.

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“…Thanks to these properties, the Incoloy 800HT alloy is used in the aerospace industry, at a construction of rocket engines or turbines and in the chemical or petrochemical industry. In addition, this alloy is used at a construction of catalytic and convection pipelines and for high-temperature heat exchangers in gas-cooled nuclear reactors [10][11][12]. The Invar 36 alloy is widely known for its very low thermal expansion which is close to zero.…”

Section: Introductionmentioning

confidence: 99%

The high-temperature strength and plastic properties of Incoloy 800HT and Invar 36 alloys

Kawulok

JUREK

et al. 2021

METAL 2021 Conference Proeedings

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Optimisation of laser welding parameters for incoloy 800HT joints using Grey-fuzzy Taguchi approach

Cited by 14 publications

References 10 publications

Multi-objective optimization of laser-cladded AISI M2 based on GRA-TOPSIS method

Multi-objective optimization of laser-cladded AISI M2 based on GRA-TOPSIS method

The Implementation of the Taguchi Method With Trapezoidal Fuzzy Number in the Tofu Production Process

The high-temperature strength and plastic properties of Incoloy 800HT and Invar 36 alloys

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