Friction stir welding parameter optimization using novel multi objective dragonfly algorithm

Pandian, R. Sudhakara; Muthiah, A.; Jeyakumar, K.; Manikandan, A.

doi:10.1016/j.ijlmm.2021.06.006

Cited by 19 publications

(10 citation statements)

References 40 publications

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“…e DA-BP algorithm can more accurately evaluate the teaching quality of previous political courses, and more importantly, can accurately predict and evaluate the future teaching quality, thus putting forward the following countermeasures and suggestions: (1) to strengthen the importance of college leaders and increase supervision; (2) to innovate and improve the teaching mode and teaching methods; (3) to fully utilize the enthusiasm of student subjects; (4) to strengthen student guidance in conjunction with the actual situation; (5) to clarify the purpose of teaching evaluation and evaluation indicators and the evaluation system; and (6) to strengthen case teaching to improve students' understanding and perception. is paper proposes a DA-BP-based method for evaluating the quality of teaching in college political courses in order to improve the accuracy of teaching quality evaluation in college political courses.…”

Section: Discussionmentioning

confidence: 99%

“…(2) We add a local reasonableness mechanism [5]. e reasonableness review operator is added to the dragonfly algorithm, which iterates through the computational dimensions of individual dragonflies, retaining the reasonable localities after the flight and eliminating the localities that are not reasonable after the flight, to speed up the algorithm's computation rate [6].…”

Section: Dragonfly Algorithmmentioning

confidence: 99%

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Evaluation of Political Classroom Teaching Quality in Universities Based on DA-BP Algorithm

Guan

Zhu

2022

Security and Communication Networks

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In order to improve the evaluation accuracy of political classroom teaching quality in universities, a DA-BP-based evaluation method of political classroom teaching quality in universities is proposed. First of all, in constructing the teaching quality evaluation system of university political courses using the framework of behavior theory, the system consists of 4 primary indicators and 15 secondary indicators. Second, the university’s 2008–2013 annual teaching quality assessment scores for the teaching quality of political courses were used as the input data of the DA-BP network, and the 2013–2016 teaching evaluation scores were used as the algorithm’s test data. In order to test the prediction accuracy of the DA-BP algorithm, it is compared with the GA-BP algorithm, PSO-BP algorithm, and BP algorithm. The research results show that DA-BP has higher prediction accuracy than other algorithms and can better evaluate the teaching quality of political courses.

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Section: Discussionmentioning

confidence: 99%

Section: Dragonfly Algorithmmentioning

confidence: 99%

Evaluation of Political Classroom Teaching Quality in Universities Based on DA-BP Algorithm

Guan

Zhu

2022

Security and Communication Networks

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“…Umanath et al [22] AA6063 (6mm) CCD/ L20-5 3 [23] AA2219-T87/ AA5083-H321 (6mm) [24] AA6082-T6 (5mm) Pitchipoo et al [25] AA5083-O/ AA6063-T6 (6mm) GRA/ L27OA-3 4 Bruce et al [26] AA6061-T6/ AA5052 (4mm)…”

Section: 5mentioning

confidence: 99%

An Analytic Hierarchy Process for a General Ranking of Friction Stir Welding Parameters Optimized Through the Design of Experimental Arrays

2022

J Mod Ind Manuf

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Objective: This study aims to rank friction stir welding parameters using the analytic hierarchy process (AHP). Methods:The proposed approach includes two phases to achieve a general ranking of the parameters through the separate estimation of their weights on each metal type and aggregation. The criteria used in the AHP for ranking are the contribution percentages and the degrees of the parameters obtained from the analysis of variance of experimental studies. The data were obtained from literature that used the design of experimental arrays to optimize these parameters on multiple properties and many similar and dissimilar metals. Fourteen parameters were assigned in the present analysis, namely rotational speed (RS), traverse speed (TS), axial force (AF), pin profile (PP), tilt angle (TA), the ratio between shoulder diameter and pin diameter (D/d ratio), shoulder diameter (SD), pin diameter (Pd), plunge depth (PD), pin length (PL), tool offset (TO), shoulder concavity (SC), number of passes (NOP) and base metal side (BMS). Results:The parameters were classified into highly significant, moderately significant, and insignificant based on their rankings. The RS, TS, TA, and PP were the highest-ranking parameters with a total contribution of 83.4% to outputs. The insignificant parameters included the D/d ratio, BMS, SC, AF, and Pd, with a low total contribution of 14%. The moderately significant parameters were the TO, NOP, SD, PD, and PL. Conclusion:The above-mentioned significant parameters could be controlled to maximize the response. The failure to achieve the target specified in the standard by controlling only highly significant parameters signifies a need for further modification of the FSW process. Therefore, parameters of moderate significance are potential parameters that need to be controlled to achieve the target. To limit the selection between these parameters, reference should be made to the type of metal used and then the parameters with the greatest impact on the metal are selected, i.e. controlling PL for aluminum, NOP, and SD for magnesium, and TO for aluminum-to-steel and aluminum-to-copper.

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“…erefore, as per the Taguchi technique [24], we prepared 27 samples of joints by varying process factors, established statistical connections amongst the selected range of variables, and found the optimal tensile strength of Al 6262/5456 alloys. e preparation of FSW of Al5456/6262 is used in many applications including the manufacture of pressure vessels, screw machine products, nuts, oil line fittings, and valve parts.…”

Section: Introductionmentioning

confidence: 99%

Examination of Friction Stir-Welded AA 6262/5456 Joints through the Optimization Technique

Vijayakumar¹,

Manickam

Seetharaman³

et al. 2022

Advances in Materials Science and Engineering

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Friction stir welding (FSW) is the solid state welding technique which is mostly utilized to join similar and dissimilar Al, Cu, Mg, and their alloys. This research investigated that the tensile strength of FSW dissimilar Al6262 and Al5456 of 4 mm thickness is carried out using an H-13 tool pin along with different process variables such as tool rotational speed (TRS), welding speed (WS), and tool tilt angle (TTA). The selected parameters are set as TRS of 900, 1100, and 1400 rpm, WS of 20, 30, and 40 mm/min with TTA of 2, 2.5, and 3° to find out significant parameters on tensile strength (TS). The Taguchi L27 method is taken to create a number of experiments to recognize the optimal level of each parameter to accomplish the highest TS value. From the experimental results witnessed, the extreme TS (202.44 MPa) is acquired at sample 22 when maintaining TRS-1400 rpm, WS-30 mm/min, and TTA-2 degree, whereas minimum TS (165.88 MPa) is attained at sample 15 of TRS-1100 rpm, WS-30 mm/min, and TTA-3 degree. The ANOVA outcome revealed that TRS is the most significant factor (23.24%) which improves the tensile property of joints, followed by a weld speed of 21.7% and a combination of tool speed and weld speed (16.17%). The increment in the tool tilt angle does not play a vital role in improving the TS value, and MINITAB -17 software helped to find a relation between the parameters in the regression equation.

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Friction stir welding parameter optimization using novel multi objective dragonfly algorithm

Cited by 19 publications

References 40 publications

Evaluation of Political Classroom Teaching Quality in Universities Based on DA-BP Algorithm

Evaluation of Political Classroom Teaching Quality in Universities Based on DA-BP Algorithm

An Analytic Hierarchy Process for a General Ranking of Friction Stir Welding Parameters Optimized Through the Design of Experimental Arrays

Examination of Friction Stir-Welded AA 6262/5456 Joints through the Optimization Technique

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