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K. Anand

Bio: K. Anand is an academic researcher from PSG College of Technology. The author has contributed to research in topics: Response surface methodology & Central composite design. The author has an hindex of 3, co-authored 4 publications receiving 41 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors developed an effective methodology to determine the optimum welding conditions that maximize the strength of joints produced by ultrasonic welding using response surface methodology (RSM) coupled with genetic algorithm (GA).
Abstract: This paper focuses on the development of an effective methodology to determine the optimum welding conditions that maximize the strength of joints produced by ultrasonic welding using response surface methodology (RSM) coupled with genetic algorithm (GA). RSM is utilized to create an efficient analytical model for welding strength in terms of welding parameters namely pressure, weld time, and amplitude. Experiments were conducted as per central composite design of experiments for spot and seam welding of 0.3- and 0.4-mm-thick Al specimens. An effective second-order response surface model is developed utilizing experimental measurements. Response surface model is further interfaced with GA to optimize the welding conditions for desired weld strength. Optimum welding conditions produced from GA are verified with experimental results and are found to be in good agreement.

37 citations

Journal ArticleDOI
TL;DR: In this paper, an effective methodology to find the optimum inserting conditions that maximize the pullout strength of joints produced by ultrasonic insertion process using response surface methodology (RSM) and genetic algorithm (GA).

17 citations

Journal ArticleDOI
TL;DR: From the confirmatory test, it was observed that the fuzzy logic yields better output results than GA, and optimal combinations of insertion parameters are found out by fuzzy logic and genetic algorithm (GA) approach.
Abstract: 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.

7 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the dynamic characteristic of stepped horn profile in terms of natural frequency, displacement amplitude, stress induced and heat developed at joint interface for improving the performance of ultrasonically fastened joints.

4 citations


Cited by
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Patent
01 Apr 2014
TL;DR: In this article, a dispositif (10) de soudure par ultrasons d'une structure flexible (F), notamment tubulaire, a conformer en sachets, is defined.
Abstract: Dispositif (10) de soudure par ultrasons d'une structure flexible (F), notamment tubulaire, a conformer en sachets, ce dispositif comportant au moins deux entrefers definis chacun entre une sonotrode (20) et une enclume (30,40) portees par des structures de support respectives (28,54) dont l'ecartement varie entre une position rapprochee de soudure et une position ecartee de defilement de la structure flexible, entrefers dans lesquels la structure flexible a souder est destinee a etre recue pour realiser au moins deux lignes de soudure, avec pour chaque entrefer au moins l'une d'une enclume et d'une sonotrode associees a cet entrefer qui est au moins partiellement mobile relativement a une structure de support (54) de cette enclume ou sonotrode.

60 citations

Journal ArticleDOI
TL;DR: In this article, the current state of joining aluminum alloy by ultrasonic spot welding is summarized with numerous critical issues, such as general process parameters, materials flow, interfacial temperature and interfacial shear force, stress distribution, relative motion, strengthening mechanism, macrostructure, microstructure and mechanical properties.

60 citations

Journal ArticleDOI
TL;DR: In this article, the authors integrated response surface method (RSM), desirability function (DF) and genetic algorithm (GA) techniques to estimate optimal machining parameters that lead to minimum surface roughness value of beech (Fagus orientalis Lipsky) species.
Abstract: In this study, response surface method (RSM), desirability function (DF) and genetic algorithm (GA) techniques were integrated to estimate optimal machining parameters that lead to minimum surface roughness value of beech (Fagus orientalis Lipsky) species. Design of experiment was used to determine the effect of computer numerical control machining parameters such as spindle speed, feed rate, tool radius and depth of cut on arithmetic average roughness ( $$R_{\mathrm{a}}$$ ). Average surface roughness values of the samples were measured by employing a stylus type equipment. The second-order mathematical model was developed by using response surface methodology with experimental design results. Optimum machining condition for minimizing the surface roughness was carried out in three stages. Firstly, the DF was used to optimize the mathematical model. Secondly, the results obtained from the desirability function were selected as the initial point for the GA. Finally, the optimum parameter values were obtained by using genetic algorithm. Experimental results showed that the proposed approach presented an efficient methodology for minimizing the surface roughness.

55 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of friction welding parameters on the tensile strength and micro-structural properties of dissimilar AISI 1020-ASTM A536 joints were studied by plotting graphs.
Abstract: 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 energy-dispersive 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 carbon-rich zone at the interface and decarburization zone in the ductile iron close to the bond interface

45 citations

Journal ArticleDOI
TL;DR: In this article, an evolutionary optimization algorithm is applied to determine the optimum machining parameters for the chosen objective of lowering flank wear and increasing material removal rate within a specific surface roughness value.
Abstract: Optimization of machining parameters considering multiple responses flank wear, surface roughness, and material removal rate (MRR) simultaneously are performed using response surface methodology (RSM). The workpiece material chosen for turning is AISI 1045, medium carbon steel, and uncoated carbide tool inserts. Twenty experiments are designed based on face-centered center composite design for three numerical parameters such as cutting speed, feed rate, and depth of cut. In this work, wear at the flank face of the cutting tool insert and surface roughness at the machined surface are to be minimized, whereas the MRR has to be maximized. With the obtained optimum condition, a confirmation experiment is performed and the experimental results obtained are flank wear of 0.118 mm, surface roughness of 3.27 μm, and MRR of 187.35 gm/min, which shows that prediction using RSM is within the acceptable range. Along with the combined optimization of these responses, a quadratic empirical model is generated for each response. An evolutionary optimization algorithm, firefly algorithm, is applied to determine the optimum machining parameters for the chosen objective of lowering flank wear and increasing MRR within a specific surface roughness value.

44 citations