Parametric optimization of ultrasonic metal welding using response surface methodology and genetic algorithm

Elangovan, S.; Anand, K.; Prakasan, K.

doi:10.1007/s00170-012-3920-y

Cited by 39 publications

(20 citation statements)

References 11 publications

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“…Prediction of tensile strength and optimisation of process parameters for friction stir-welded dissimilar aluminium alloys [32,33] and stainless steel [34] were also conducted in the papers. Elangovan et al [35] studied a parametric optimisation of ultrasonic metal welding using RSM and GA approach. A hybrid intelligent method for evaluating the near optimal settings of the friction welding process parameters of ductile iron was c onducted by Winiczenko et al [36].…”

Section: Optimisation Of Welding Parametersmentioning

confidence: 99%

Effect of friction welding parameters on the tensile strength and microstructural properties of dissimilar AISI 1020-ASTM A536 joints

Winiczenko

2015

Int J Adv Manuf Technol

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This paper presents an effect of friction welding parameters on the tensile strength and microstructural properties of dissimilar AISI 1020-ASTM A536 joints. A hybrid response surface methodology (RSM) and genetic algorithm (GA)-based technique were successfully developed to model, simulate, and optimise the welding parameters. Direct and interaction effects of process parameters on the ultimate tensile strength (UTS) were studied by plotting graphs. Friction force and friction time have a positive effect on tensile strength. As friction force and friction time increase, the tensile strength also increases. The maximum tensile strength of the friction-welded low carbon steel-ductile iron joints was 87 % of that of the base metal. The tensile properties, microstructure, Vickers hardness distribution, and fracture morphology of the welded specimen have been studied and presented in this study. Additionally, the distribution of carbon element on both sides of the interface was estimated using energydispersive spectroscopy (EDS). The results of the metallographic study show clearly that the friction welding process was accompanied by a diffusion of carbon atoms from ductile iron to steel. This process causes the formation of a carbonrich zone at the interface and decarburization zone in the ductile iron close to the bond interface.

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Section: Optimisation Of Welding Parametersmentioning

confidence: 99%

Effect of friction welding parameters on the tensile strength and microstructural properties of dissimilar AISI 1020-ASTM A536 joints

Winiczenko

2015

Int J Adv Manuf Technol

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“…They developed the interrelationship between process variables and quality responses by using an artificial neural network (ANN). RSM could be coupled also by other optimization algorithms, as an example S. Elangovan et al [15] determined the optimized conditions in ultrasonic metal welding by coupling RSM with genetic algorithm (GA). They interfaced the developed responses with RSM by GA to find optimum conditions.…”

Section: Introductionmentioning

confidence: 99%

Parametric Study and Multi-Criteria Optimization in Laser Cladding by a High Power Direct Diode Laser

Farahmand

Kovacevic

2014

Lasers Manuf. Mater. Process.

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In laser cladding, the performance of the deposited layers subjected to severe working conditions (e.g., wear and high temperature conditions) depends on the mechanical properties, the metallurgical bond to the substrate, and the percentage of dilution. The clad geometry and mechanical characteristics of the deposited layer are influenced greatly by the type of laser used as a heat source and process parameters used. Nowadays, the quality of fabricated coating by laser cladding and the efficiency of this process has improved thanks to the development of high-power diode lasers, with power up to 10 kW. In this study, the laser cladding by a high power direct diode laser (HPDDL) as a new heat source in laser cladding was investigated in detail. The high alloy tool steel material (AISI H13) as feedstock was deposited on mild steel (ASTM A36) by a HPDDL up to 8kW laser and with new design lateral feeding nozzle. The influences of the main process parameters (laser power, powder flow rate, and scanning speed) on the clad-bead geometry (specifically layer height and depth of the heat affected zone), and clad microhardness were studied. Multiple regression analysis was used to develop the analytical models for desired output properties according to input process parameters. The Analysis of Variance was applied to check the accuracy of the developed models. The response surface methodology (RSM) and desirability function were used for multi-criteria optimization of the cladding process. In order to investigate the effect of process parameters on the molten pool evolution, in-situ monitoring was utilized. Finally, the validation results for optimized process conditions show the predicted results were in a good agreement with measured values. The multicriteria optimization makes it possible to acquire an efficient process for a combination of clad geometrical and mechanical characteristics control.Keywords Laser cladding . High power direct diode laser . Response surface methodology (RSM) . Multi-response optimization Lasers Manuf. Mater. Process.

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“…Elangovan et al [6] have developed mathematical models for ultrasonically welded joint strength using RSM in terms of pressure, weld time and amplitude of vibrations. Then, the developed models are coupled with GA to optimize the ultrasonic metal welding parameters.…”

Section: Introductionmentioning

confidence: 99%

Modelling and multi-objective optimization of ultrasonic inserting parameters through fuzzy logic and genetic algorithm

Anand

Elangovan

2019

J Braz. Soc. Mech. Sci. Eng.

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As the usage of plastic components has increased in various industries, the methods for fastening have increased rapidly. When the plastic components are fastened by self-tapping screws or bolts, failure occurs because of stripped threads or plastic creep. In these circumstances, threaded metal inserts provide improved joint performance and ability to assemble and disassemble the components without degrading them. Even though many techniques such as insert moulding, thermal insertion and cold insertion are available for joining thermoplastic material with metal insert, ultrasonic insertion is one of the most preferred processes because of the shorter cycle time usually less than a second, possibility of simultaneous installation of the multiple inserts and large-scale automation possibilities for higher production operations. The technical problems faced by the industries in ultrasonic insertion process are poor insertion quality which affects the function of the product. These problems arise because of the improper selection of insertion parameters. The objective of this paper is to optimize the ultrasonic insertion parameters for improving the quality of joint through non-traditional optimization techniques. Response surface methodology (RSM) is used to design the experiments, and then pullout strength and stripping torque are measured. Data obtained from the measurement are utilized to develop a nonlinear equation between the responses and predictors, and optimal combinations of insertion parameters are found out by fuzzy logic and genetic algorithm (GA) approach. From the confirmatory test, it was observed that the fuzzy logic yields better output results than GA.

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Parametric optimization of ultrasonic metal welding using response surface methodology and genetic algorithm

Cited by 39 publications

References 11 publications

Effect of friction welding parameters on the tensile strength and microstructural properties of dissimilar AISI 1020-ASTM A536 joints

Effect of friction welding parameters on the tensile strength and microstructural properties of dissimilar AISI 1020-ASTM A536 joints

Parametric Study and Multi-Criteria Optimization in Laser Cladding by a High Power Direct Diode Laser

Modelling and multi-objective optimization of ultrasonic inserting parameters through fuzzy logic and genetic algorithm

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