Journal articles: 'Optimization of welding Parameters'

1

Ng, Chuan Huat, and Mohd Khairulamzari Hamjah. "Welding Parameter Optimization of Surface Quality by Taguchi Method." Applied Mechanics and Materials 660 (October 2014): 109–13. http://dx.doi.org/10.4028/www.scientific.net/amm.660.109.

Full text

Abstract:

An experimental study of GTAW was conducted to determine the optimization of weld parameters on the droplet formation in the surface quality of weld pools. These optimization investigations consisted of welding current, welding speed and feed rate. The strength and surface quality of weld pool were measured for each specimen after the welding parameter optimizations and the effect of these parameters on droplet formation were researched. To consider these quality characteristics together in the selection of welding parameters, the Orthogonal Array of Taguchi method is adopted to analyze the effect of each welding parameter on the weld pool quality, and then to determine the welding parameters with the optimal weld pool quality.

APA, Harvard, Vancouver, ISO, and other styles

2

Vishwakarma, Shailesh Kumar, Anurag Shrivastava, and Sharmistha Singh. "Optimization of Resistance Spotwelding Parameters Using Taguchi Method." International Journal of Emerging Research in Management and Technology 6, no. 7 (June 29, 2018): 196. http://dx.doi.org/10.23956/ijermt.v6i7.211.

Full text

Abstract:

Resistance spot welding (RSW) is a major sheet metal joining process in many industries, such as the automobile, domestic appliances, and space craft fabrication. It is one of the oldest of the electric welding processes in use by industry today. Furthermore, other metal-to-metal connections, such as wire-to-wire joints in the electronics industry, are accomplished by resistance spot welding. Application-specific measures, such as the diameter of the welding spot, define the quality of the joint. The weld is made by a combination of heat, pressure, and time parameters. As the name implies, it uses the resistance of the materials to the flow of electric current that causes a localized heating in the parts to be joined. Understanding of physical mechanisms for easily manipulating and controlling weld qualities in advance is extremely important. This paper represents the optimization of various parameters of resistance spot welding. The experimental studies have been conducted under varying pressure, welding current, pressure, and welding time parameters. In this investigation the quality characteristic (tensile strength and nugget diameter) parameters have been considered using Taguchi Method. The experimental studies have been carried out by varying welding currents, welding pressure and weld times for joining two sheets. The results of the investigation indicate the welding current to be the most significant parameter controlling the weld tensile strength as well as the nugget diameter. The contribution of welding current, holding time and pressure to tensile strength are 61%, 29%, 4% respectively and the contribution of these parameters to nugget diameter are 81%, 1.7%, 17% respectively. Relationship graphs have been plotted between tensile strength and nugget diameter with parametric variations according to orthogonal array.

APA, Harvard, Vancouver, ISO, and other styles

3

Sreeraj, P., T. Kannan, and Subhashis Maji. "Optimization of GMAW Process Parameters Using Particle Swarm Optimization." ISRN Metallurgy 2013 (January 22, 2013): 1–10. http://dx.doi.org/10.1155/2013/460651.

Full text

Abstract:

To improve the corrosion-resistant properties of carbon steel cladding process is usually used. It is a process of depositing a thick layer of corrosion resistant material-over carbon steel plate. Most of the engineering applications require high strength and corrosion resistant materials for long-term reliability and performance. By cladding, these properties can be achieved with minimum cost. The main problem faced in cladding is the selection of optimum combinations of process parameters for achieving quality clad and hence good clad bead geometry. This paper highlights an experimental study to optimize various input process parameters (welding current, welding speed, gun angle, contact tip to work distance, and pinch) to get optimum dilution in stainless steel cladding of low-carbon structural steel plates using gas metal arc welding (GMAW). Experiments were conducted based on central composite rotatable design with full-replication technique and mathematical models were developed using multiple regression method. The developed models have been checked for adequacy and significance. Using particle swarm optimization (PSO) the parameters were optimized to get minimal dilution.

APA, Harvard, Vancouver, ISO, and other styles

4

Reddy, M. S. Amarnath, Mr J. Sree Hari, and Mr K. Sai Kiran. "Optimization of Process Parameters in MIG Welding of Two Dissimilar Materials." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 992–97. http://dx.doi.org/10.31142/ijtsrd18749.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

da Silva, Marcos Mesquita, Valmir Rodrigues Batista, Theophilo Moura Maciel, Marco Antonio dos Santos, and Taynara Lacerda Brasileiro. "Optimization of submerged arc welding process parameters for overlay welding." Welding International 32, no. 2 (October 16, 2017): 122–29. http://dx.doi.org/10.1080/09507116.2017.1347325.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Costanza, Girolamo, Maria Elisa Tata, and Diego Cioccari. "Explosion Welding: Process Evolution and Parameters Optimization." Materials Science Forum 941 (December 2018): 1558–64. http://dx.doi.org/10.4028/www.scientific.net/msf.941.1558.

Full text

Abstract:

The development of explosion welding (EXW) technology underwent a stop as soon as it was introduced, however, in the recent years an increasing interest was found due to the wide range of materials which can be welded, similar and especially dissimilar ones. In addition to the high quality, such welded joints show a good compromise among the involved materials properties. Literature does not provide a comprehensive understanding of the whole mechanism and occurring phenomena but is mostly limited to analyse just some process parameters, like the investigations on joint properties that can be achieved if process takes place under vacuum or open air. In this work some key points are discussed to describe the evolution step of the process and the innovations introduced like the MIL (metallic-intermetallic laminate) composites for aerospace industry. Process parameters are analyzed to highlight the positive and negative aspects, the experiments in the laboratory will be described to confine the explosion to the joint and in particular to minimize the explosion energy and to improve the efficiency of the technique. At last some significant applications where this technique is widely used are showed.

APA, Harvard, Vancouver, ISO, and other styles

7

Qi, Wen Jun, Jian Jiang Fang, Yuan Yuan Zhu, and Yan Hua Huang. "Computer Aided Calculation of Welding Microstructure and Optimization of Welding Technological Parameters." Advanced Materials Research 33-37 (March 2008): 1383–88. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.1383.

Full text

Abstract:

Welding Continuous Cooling Transformation (CCT) graph reflects the relationship between microstructure, hardness of steel heat-affected zone (HAZ), weld and welding cooling rate continuous cooling from high temperature, and it is the basic to select welding material, determine the optimum welding technology, relieve welding cracks and lay down standard of past heat treatment. Welding technological parameters determine welding cooling rate, and the rate determines microstructure, hardness of steel HAZ and weld, therefore we can calculate microstructure according to known welding technological parameters and optimum parameters according to wanted properties based on CCT graph. The system combines CAD and welding techniques, the welding CCT graphs are made into drawing blocks at the platform of AutoCAD, the important data of welding CCT are made into database, they are transferred and managed by Access. Based on Active Automation techniques using Visual Basic, AutoCAD graph base are transferred and data of welding CCT can be inquired and dynamically added to the base. The system has realized the prediction of welding structure and properties and optimizing welding technology.

APA, Harvard, Vancouver, ISO, and other styles

8

Chhibber, Rahul, Yogesh Kumar Singla, and Bijan Kumar Dutta. "Optimization of Process Parameters for Friction Welding of Bimetallic Welds." Advanced Materials Research 585 (November 2012): 440–44. http://dx.doi.org/10.4028/www.scientific.net/amr.585.440.

Full text

Abstract:

Bimetallic welds made between ferritic steels and austenitic stainless steels are conventionally fabricated using arc welding procedures such as Tungsten Inert Gas, Metal Inert Gas, Shielded Metal Arc Welding and Submerged Arc Welding. However friction welding provides a new and unique solid state approach for joining many similar and dissimilar materials, which may not be possible to join by other welding techniques available without adding any external filler metal. This approach is mostly used in joining of dissimilar materials. The reason for increased utility being the absence of any external filler material which may otherwise add to the heterogeneity of the weld structure. In this paper, the fabrication and effect of friction welding parameters on mechanical-micro structural changes of bimetallic weld joints has been discussed. An attempt has also been made to relate the effect of friction welding parameters on the peak temperature values taken near faying surface and micro hardness changes measured in various zones of weld.

APA, Harvard, Vancouver, ISO, and other styles

9

Cohal, Viorel. "A Simulation of Spot Welding Process." Applied Mechanics and Materials 657 (October 2014): 226–30. http://dx.doi.org/10.4028/www.scientific.net/amm.657.226.

Full text

Abstract:

The paper presents the optimization of spot welding parameters using offline simulation. The procedure of making simulation with SORPAS® is similar to the procedure of doing practical welding process, which can be divided into the following three steps:Data preparation - the materials and geometries of the workpieces and electrodes are defined, the type of welding machine is selected and the process parameters are specified.Running simulation of welding - the parts are welded in the selected welding machine with the specified process parameter settings. The simulations can be carried out in four ways: single simulations, batch simulations, automated optimizations and weld planning.Evaluation of results - the results of welding and quality of weld are evaluated thus the design and parameter settings are verified. With the optimization procedures the weld growth curve can be obtained.

APA, Harvard, Vancouver, ISO, and other styles

10

Saravanan, S., and Pandian Pitchipoo. "Optimization of GMAW Parameters to Improve the Mechanical Properties." Applied Mechanics and Materials 813-814 (November 2015): 456–61. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.456.

Full text

Abstract:

In this paper, multi objective optimization of Gas Metal Arc Welding GMAW) parameters are carried out to yield good mechanical strength in welded joints. Most of the failures are occurred on the welded elements due to the setting of improper welding parameters. The strength of welded joints in GMAW depends on several input process parameters such as welding current, welding voltage, gas flow rate, torch angle, welding speed, wire size and electrode feed rate. Wrong selection of these process parameters will lead to bad quality welds. So there is a need to control the process parameters to obtain good quality welded joints. For getting the better values of these parameters, it needs to conduct experiments by varying the input process parameters that are affecting the strength of the welded joints. In this work nine experimental runs based on an L9 orthogonal array of Taguchi method are performed to optimize the strength of the welded joint. To achieve this Grey Relational Analysis (GRA) is used. In this work Aluminum6063 material is used as base material.

APA, Harvard, Vancouver, ISO, and other styles

11

Sharma, Nidhi, Zahid A. Khan, Arshad Noor Siddiquee, and Mohd Atif Wahid. "Multi-response optimization of friction stir welding process parameters for dissimilar joining of Al6101 to pure copper using standard deviation based TOPSIS method." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 18 (July 23, 2019): 6473–82. http://dx.doi.org/10.1177/0954406219858628.

Full text

Abstract:

Friction stir welding is a new and effective solid-state welding process for joining dissimilar materials such as aluminum (Al) and copper (Cu). Joint quality of the friction stir welded materials gets influenced by the welding strategy and different friction stir welding process parameters, i.e. rotational speed, welding speed, tool design, tool pin offset, and tilt angle. In this paper, the effect of combination of different friction stir welding process parameters during joining of Al-6101 and pure copper is studied using Taguchi L18 orthogonal array. Four friction stir welding process parameters, i.e. shoulder diameter (A), pin offset (B), welding speed (C), and rotational speed (D) each at three levels except shoulder diameter, which is at two levels are selected. The effect of different combinations of these parameters on ultimate tensile strength and micro-hardness of the joints is investigated. Subsequently, single response optimization for ultimate tensile strength and micro-hardness and multi-response optimization of ultimate tensile strength and micro-hardness taken together is carried out to obtain the optimal combination of the friction stir welding process parameters. Taguchi method is used for single response optimization, whereas Taguchi-based TOPSIS method is employed for multi-response optimization. For single optimization, the optimum combination of the friction stir welding parameters yielding maximum strength and micro-hardness are A1B1C2D2 and A2B1C2D3, respectively. The optimum combination of the process parameters for multi-response optimization is A2B1C2D2. From the results of the study for single- and multi-response optimization, it is revealed that the rotational speed is the most significant process parameter affecting the tensile strength and micro-hardness of the joints followed by the welding speed. Further, the macro/microstructure and micro-hardness profile of the joint obtained at the optimal combination of the multi-response optimization are given and discussed for better understanding of material mixing and joining.

APA, Harvard, Vancouver, ISO, and other styles

12

Ghazali, Farizah Adliza, Yupiter HP Manurung, and Mohamed Ackiel Mohamed. "Multi-Response Optimization Using Taguchi Method of Resistance Spot Welding Parameters." Applied Mechanics and Materials 660 (October 2014): 120–24. http://dx.doi.org/10.4028/www.scientific.net/amm.660.120.

Full text

Abstract:

This paper presents the effects of spot welding parameters on multi-response weld quality and optimizes the governing parameters of Resistance Spot Welding (RSW) towards the tensile shear strength and nugget size using Taguchi method. The main affecting welding parameters such as electrode force, weld time and weld current were determined as the basis for quality evaluation. The selected quality features were classified into shear strength and nugget size which were required for application with highly dynamic loading. The optimum welding parameter was obtained using multi signal-to-noise ratio (MSNR) and the significant level of welding parameters was further analysed using analysis of variance (ANOVA). Based on the results, electrode force was found to be most effective parameter affecting shear strength and nugget size. The experiment was conducted at optimum welding parameter and validated the used of multi-objective Taguchi method for enhancing performance and optimizing the welding parameters in RSW process.

APA, Harvard, Vancouver, ISO, and other styles

13

Aravind, A. P., S. Suryaprakash, S. Vishal, M. Sethuraman, T. Deepan Bharathi Kannan, M. Umar, and Sonu Rajak. "Optimization of welding parameters in CMT welding of Al 5083 alloys using VIKOR optimization method." IOP Conference Series: Materials Science and Engineering 912 (September 12, 2020): 032035. http://dx.doi.org/10.1088/1757-899x/912/3/032035.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Singh, Ravinder Pal, R. K. Garg, and D. K. Shukla. "Optimization of response parameters for polarity in submerged arc welding." Multidiscipline Modeling in Materials and Structures 11, no. 4 (November 9, 2015): 494–506. http://dx.doi.org/10.1108/mmms-04-2015-0024.

Full text

Abstract:

Purpose – Optimization of response parameter is essential in any process .The purpose of this paper is to focus at achieving the optimized parameter for submerged arc welding to furnish the quality welds at direct current electrode positive (DCEP) polarity and direct current electrode negative (DCEN) polarity. Design/methodology/approach – This paper achieves the parameter after extensive trial runs and finally parameters are optimized to acquire the cost effective and quality welds in submerged arc welding using the response surface methodology. Findings – Apart from effect of parameters on weld bead geometry has been identified but optimized parameters has also been achieved for submerged arc welding process for DCEP and DCEN polarities. Practical implications – As this study is related to practical work it may be useful for any relevant application. Social implications – The process parameters used in this experimental work will be basis for job work/industry for submerged arc welding. Originality/value – This paper identifies the effect of polarity in submerged arc welding.

APA, Harvard, Vancouver, ISO, and other styles

15

Wang, Zhenmin, Junhao Wei, and Leilei Wang. "Optimization of current parameters during variable polarity GMAW of magnesium alloy." Modern Physics Letters B 33, no. 01 (January 10, 2019): 1850429. http://dx.doi.org/10.1142/s0217984918504298.

Full text

Abstract:

Magnesium alloy welding suffers from problems such as burn through and loss of alloying elements during conventional welding process due to high heat input. Variable polarity gas metal arc welding (VP-GMAW) features low heat input. Therefore, it is an attractive method for welding of magnesium alloy. However, the principles governing the correlations among welding current parameters, metal transfer modes, and bead formation are not well understood. Identifying optimal welding current parameters by trial and error is unrealistic. Therefore, peak current, base current, and negative current were selected as independent variables. Their impact mechanism on metal transfer and bead formation were investigated by experiments with high-speed photographs. Then, weld quality evaluation was conducted by a fuzzy comprehensive evaluation. A mathematical method was proposed to calculate optimal current parameters for VP-GMAW of magnesium alloy. In addition, a significant sequence of current parameters is obtained. The results indicate that almost defect-free weld joint is produced by the optimal welding current parameters. The significance sequence of current parameters on weld quality is negative current, peak current, and base current.

APA, Harvard, Vancouver, ISO, and other styles

16

Amit Hazari, Rith Saha, Bidisha Ghosh, Debraj Sengupta, Sayan Sarkar, and Nia Mehra. "Optimization on Spot Weld Parameters in Resistance Spot Welding Process on AISI 304." International Journal of Engineering and Management Research 11, no. 3 (June 22, 2021): 181–85. http://dx.doi.org/10.31033/ijemr.11.3.29.

Full text

Abstract:

The spot welding procedure is used in a variety of industrial applications. The most critical elements influencing welding quality, productivity, and cost are the spot welding parameters. This research examines the effect of welding factors such as welding current and welding time on the strength of various welding joint designs. Resistance spot welding (RSW) is used in the automotive industry for manufacturing. This research focused on the optimization of process parameters for resistance spot welding (RSW), as well as the tensile testing and spot weld diameter. The goals of this analysis are to comprehend the physics of the process and to demonstrate the effect of electrical current, weld time, and material type on the resistance spot welding process.

APA, Harvard, Vancouver, ISO, and other styles

17

Liu, Xue Song, Ping Wang, Zhong Jie Yan, Qiang Wang, and Hong Yuan Fang. "Geometric Parameters Optimization Design for Aluminum Alloy Welding Joint Based on Increasing Fatigue Strength." Materials Science Forum 704-705 (December 2011): 1106–11. http://dx.doi.org/10.4028/www.scientific.net/msf.704-705.1106.

Full text

Abstract:

The geometric parameters of the welding joint had an important effect on fatigue strength, so the stress concentration of the typical double sided asymmetric V-notch joint on high speed train was calculated, the relationship between geometric parameters and the stress distribution of the welding joint was analyzed by FEM, also the geometric parameters optimization design of welding joint was proposed. According to theoretical optimization design scheme, the geometric parameters optimization adopted shaping the weld joint by manual TIG welding and processing circle arc on weld toes by milling respectively,. and the fatigue property of the welding joint optimized by different methods was tested. By comparing the experimental results, it was found that manual TIG welding was difficult to obtain the favorable weld toe angle to decrease the stress concentration, and the welding joint was softened obviously. Accordingly, it revealed that the fatigue property was lower than that of initial joint in fatigue testing. On the contrary, the radius of the weld toes circle arc can be controlled accurately by mechanical processing. The stress concentration was reduced obviously by rounding off the weld toe, as a result the fatigue strength of the welding joint could be increased remarkably. Keywords: A7N01, optimization design, geometric parameters of welding joint, FEM

APA, Harvard, Vancouver, ISO, and other styles

18

Xu, Qing Zhong, Fang Yi Li, Shi Lei Ma, and Jun Zhuang Liu. "Study on Milling Parameters Optimization in Remanufacturing Cold-Welding Area." Advanced Materials Research 500 (April 2012): 123–27. http://dx.doi.org/10.4028/www.scientific.net/amr.500.123.

Full text

Abstract:

Considering cold-welding repaired layer is rough and microstructure contains hard phases, firstly, the two-factor three-level orthogonal milling experiment was conducted in remanufacturing cold-welding repaired area, then the influences of different parameters on Ni-base cold-welding repaired layer milling were studied. At the end, cutting force and surface roughness were used as objectives to optimize the milling parameters. Cutting force and surface roughness were processed by range analysis, and their influence sequences were obtained. The empirical formula of milling force and surface roughness can be obtained through linear regression method, which provided theoretical base for the prediction. The influences on cutting force and surface roughness of different parameters were studied to further optimization, which can provide technical support for high efficiency and precision cutting in cold-welding area.

APA, Harvard, Vancouver, ISO, and other styles

19

Angaria, Sahil, P. S. Rao, and S. S. Dhami. "Optimization of MIG Welding Process Parameters: A Review." Research Journal of Engineering and Technology 8, no. 3 (2017): 273. http://dx.doi.org/10.5958/2321-581x.2017.00046.0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Mohanavel, V., M. Ravichandran, and S. Suresh Kumar. "Optimization of tungsten inert gas welding parameters to." Materials Today: Proceedings 5, no. 11 (2018): 25112–20. http://dx.doi.org/10.1016/j.matpr.2018.10.312.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Kumar, Amit, M. K. Khurana, and Pradeep K. Yadav. "Optimization of Gas Metal Arc Welding Process Parameters." IOP Conference Series: Materials Science and Engineering 149 (September 2016): 012002. http://dx.doi.org/10.1088/1757-899x/149/1/012002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Gadakh, V. S., V. B. Shinde, and N. S. Khemnar. "Optimization of welding process parameters using MOORA method." International Journal of Advanced Manufacturing Technology 69, no. 9-12 (July 20, 2013): 2031–39. http://dx.doi.org/10.1007/s00170-013-5188-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Albunduqee, Azzam Sabah, and Hussein R. Al-Bugharbee. "Optimization of Process Parameters of Friction Stir Welding by Taguchi Method." Wasit Journal of Engineering Sciences 7, no. 1 (April 15, 2019): 17–23. http://dx.doi.org/10.31185/ejuow.vol7.iss1.111.

Full text

Abstract:

Friction Stir Welding is one of the technologies of joining solid states, which still attracts the researchers’ interest. In welded joints the mechanical properties are affected by a number of mechanical properties of the joined materials and by the process parameters as well. In the present study, the effect of a number of friction stir welding parameters on the tensile strength of the welded joint have been investigated using the Taguchi method and the analysis of variance (ANOVA). The study considers different levels of friction stir welding variables; namely, different rotational speeds of (2000, 1600, 1250 rpm), different welding speeds (12.5, 16, 20 mm / min), and different welding tilt angles (0, 1, 2 degrees). The optimum process parameters and their contribution rate were selected based on the Taguchi method for test design and by using the Minitab 16 program. In this study, the best results (i.e, higher tensile strength) were obtained at a rotational velocity of 1600 rpm, linear velocity of 16 mm / min, and welding angle, 1o. The highest tensile strength was obtained under these conditions.

APA, Harvard, Vancouver, ISO, and other styles

24

Ghaffarpour, Morteza, Ahmad Aziz, and Taha-Hossein Hejazi. "Optimization of friction stir welding parameters using multiple response surface methodology." Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 231, no. 7 (August 25, 2015): 571–83. http://dx.doi.org/10.1177/1464420715602139.

Full text

Abstract:

Improving quality in today’s complicated industrial systems is gaining more and more importance every day. Since applying these systems costs a lot, companies should try to offer the best outcomes and processes possible. One of the products most applied is Tailor Welding Blanks, which is widely used in automobile, aerospace, and other industries. One of the best methods of producing Tailor Welding Blanks is Friction Stir Welding. Using this technology, sheets dissimilar in material and thickness can be joined. In this paper, the possibility of welding thin sheets of 5083-H12 and 6061-T6 aluminum alloy by Friction Stir Welding with the thickness of 1.5 mm is examined. To detect the impact of Friction Stir Welding parameters, i.e. rotational speed (r/min), linear speed (mm/ min), shoulder diameter (mm), and tilt angle (°), a Box-Behnken design was used and using multiple Response Surface Methodology values of robust optimization of tensile strength and elongation were derived. The optimization and experiment results were then compared. The results of the comparison showed a good correspondence.

APA, Harvard, Vancouver, ISO, and other styles

25

Sobih, Mohamed, Zuhair Elseddig, Khalid Almazy, Amro Youssef, and Mohamed Sallam. "Optimization of EBW Parameters for 2219 AL-Alloy Using Grey Relation Method." Advanced Materials Research 591-593 (November 2012): 507–14. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.507.

Full text

Abstract:

Aluminum alloys are the subject of increasing interest in the automotive, as well as aircraft industries. Concerning the assembly, welding was extensively applied in the car industry. Nevertheless, welding defects generated during the process result in reduction in strength of both the weld; and heat affected zone which could limit its applications. Electron beam welding (EBW) has unique advantages over other traditional fusion welding methods due to its high-energy density, deep penetration, large depth-to-width ratio and the resulting very small heat affected zone. Optimization of EB welded joint of 2219 Al-alloy, from the yield strength, hardness and bead geometry point of view, is the topic of this study. Taguchi methodology with grey relation analysis has been applied to find the optimal welding parameters for welding of a sheet of the mentioned aluminum alloy with electron beam. The optimal welding parameters have been selected and verified experimentally.

APA, Harvard, Vancouver, ISO, and other styles

26

Padmanaban, R., V. Muthukumaran, and A. Vighnesh. "Parameter Optimization for Friction Stir Welding AA1100." Applied Mechanics and Materials 813-814 (November 2015): 462–66. http://dx.doi.org/10.4028/www.scientific.net/amm.813-814.462.

Full text

Abstract:

Friction stir welding (FSW) has become a potential solid state joining technique with considerable advantages over conventional joining process. Defect-free friction stir welded joints with high joint strength are obtained when optimum process parameters are used. Although a large number of parameters govern the FSW process, the tool rotation speed, Welding speed and tool geometry are key parameters that influence the joint strength. In this work, a statistical model relating process parameters and the tensile strength (TS) of friction stir welded AA1100 joints is build using response surface methodology. The four independent variables are tool rotational speed (TRS), welding speed (WS), shoulder diameter (SD) and pin diameter (PD). Central Composite design is used and Analysis of Variance at 95% confidence level was applied to assess the adequacy of the developed model. Genetic algorithm is used for optimizing the parameters. The optimum process parameter values predicted using the genetic algorithm are as follows. Tool rotation speed: 1001.9 rpm; welding speed: 62 mm/min; shoulder diameter: 17.8 mm and pin diameter: 6.5 mm. The corresponding tensile strength of the joints is 73.1556 MPa

APA, Harvard, Vancouver, ISO, and other styles

27

kumar, C. Labesh, T. Van aja, and KGK Murti. "Optimization of Mig Welding Process Parameters for Improving Welding Strength of Steel." International Journal of Engineering Trends and Technology 50, no. 1 (August 25, 2017): 26–33. http://dx.doi.org/10.14445/22315381/ijett-v50p205.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Li, Hui Jun, Daniel Grudgings, Nathan Larkin, John Norrish, Mark Callaghan, and Lenka Kuzmikova. "Optimization of Welding Parameters for Repairing NiAl Bronze Components." Materials Science Forum 706-709 (January 2012): 2980–85. http://dx.doi.org/10.4028/www.scientific.net/msf.706-709.2980.

Full text

Abstract:

The objective of this study is to determine an optimal welding procedure that can be implemented to repair damaged Nickel Aluminium Bronze (NAB) components. NAB is commonly used in marine applications where components are subject to a constant corrosive environment and high stresses. Research into ideal NAB microstructure for a marine application, was performed in order to gain a baseline for experimental analysis of potential welding procedures. The results indicated that the welding repair can be performed with a wide range of heat input. The effect of post-weld heat treatment (PWHT) on the microstructure and mechanical properties in the heat affected zone (HAZ) and weld metal was also investigated in this research. The dominant microstructure in weld metal at as-welded condition is coarse Widmanstatten type structure with high hardness; post-weld heat treatment resulted in significant grain refinement and hardness reduction in weld metal.

APA, Harvard, Vancouver, ISO, and other styles

29

Ma, Xiaoying, Zhili Sun, Peng Cui, and Junwei Wu. "Optimization of the welding process parameters of Mg–5Gd–3Y magnesium alloy plates with a hybrid Kriging and particle swarm optimization algorithm." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232, no. 22 (December 17, 2017): 4038–48. http://dx.doi.org/10.1177/0954406217747911.

Full text

Abstract:

Selecting suitable welding process parameters to obtain optimal mechanical properties of the weld bead in AC gas tungsten arc welding is of vital importance. This paper presents a combination method of the Kriging model and particle swarm optimization for optimizing welding process parameters to achieve the optimum mechanical properties, such as the tensile strength and micro-hardness, of the weld bead in AC gas tungsten arc welding of GW53 magnesium alloy plates. The Taguchi orthogonal array is first employed to construct a database including the input process parameters (welding speed, welding current, and protection gas flow) and the responses (the tensile strength and micro-hardness of the weld joint). Then, the Kriging model is used to establish the relationships between the input process parameters and the responses. The optimal mechanical properties of the weld bead corresponding to the welding process parameters are obtained by the proposed hybrid Kriging and particle swarm optimization algorithm. Finally, the effectiveness of the proposed method is verified by contrasting the mechanical properties, such as the tensile strength and the average micro-hardness, in the welding base metal and the weld bead. Furthermore, the main reasons for the decrease in the mechanical properties of welded plates are described in this paper.

APA, Harvard, Vancouver, ISO, and other styles

30

Kallek, M., S. Ataoglu, Y. Yagci, H. Bozkurt, and A. Gulluoglu. "In the Jewelry, Brazing and Laser Welding with Parameter Optimization." Archives of Metallurgy and Materials 57, no. 2 (June 1, 2012): 525–37. http://dx.doi.org/10.2478/v10172-012-0055-y.

Full text

Abstract:

In the Jewelry, Brazing and Laser Welding with Parameter OptimizationIn this study, brazing and laser welding were experimentally compared for 9, 14 and 18 carat gold alloys in different color. The gold alloys were joined by laser welding and brazing and the microstructure, hardness, chemical composition, color of the weld joints were investigated. According to study, in laser welding, voltage, pulse duration, pulse diameter and frequency are the most important welding parameters that influence the quality of joints. Welded joints are characterized using three geometric parameters: penetration depth, width of heat affected zone and underfill defects. Finally, optimum laser welding parameters of different color of 9, 14 and 18 carat gold alloys were determined. It is observed that laser welding has numerous advantages compared to the other joining techniques used in the jewelry industry.

APA, Harvard, Vancouver, ISO, and other styles

31

Pu, Juan, Shengfu Yu, and Yuanyuan Li. "Parameter optimization of flux-aided backing-submerged arc welding by using Taguchi method." International Journal of Modern Physics B 31, no. 16-19 (July 26, 2017): 1744046. http://dx.doi.org/10.1142/s0217979217440465.

Full text

Abstract:

Flux-aided backing-submerged arc welding has been conducted on D36 steel with thickness of 20 mm. The effects of processing parameters such as welding current, voltage, welding speed and groove angle on welding quality were investigated by Taguchi method. The optimal welding parameters were predicted and the individual importance of each parameter on welding quality was evaluated by examining the signal-to-noise ratio and analysis of variance (ANOVA) results. The importance order of the welding parameters for the welding quality of weld bead was: welding current [Formula: see text] welding speed [Formula: see text] groove angle [Formula: see text] welding voltage. The welding quality of weld bead increased gradually with increasing welding current and welding speed and decreasing groove angle. The optimum values of the welding current, welding speed, groove angle and welding voltage were found to be 1050 A, 27 cm/min, 40[Formula: see text] and 34 V, respectively.

APA, Harvard, Vancouver, ISO, and other styles

32

Jia, Jian Ping, Hua Zhang, and Hui Huang. "Optimization of Welding Process Parameters for Rotating Arc Welding Sensor Based on Genetic Algorithm." Materials Science Forum 575-578 (April 2008): 769–73. http://dx.doi.org/10.4028/www.scientific.net/msf.575-578.769.

Full text

Abstract:

The high speed rotating arc welding sensor (RAWS) driven by motor with air axis is widely used in seam tracking system. Using the characters of the RAWS, the purpose of this study based on Genetic Algorithm (GA) is to optimize welding process parameters of the RAWS for obtaining satisfied seam geometry. The output variables are penetration, width and height of the seam geometry. These output variables are determined by input variables, which are the welding current, welding voltage, welding speed, rotating arc radius, rotating arc frequency and rotating arc direction. Experimentations are made according to the optimal welding process parameters, and the result shows that the GA is an effective method to optimize the welding process parameters of the RAWS. The described computational methodology enables obtaining a seam with desired geometry.

APA, Harvard, Vancouver, ISO, and other styles

33

Wang, Zheng Lun, Zhi Xiang Wang, and Yu Zhang. "Study on Welding Parameters Optimization of Duplex Stainless Steel 2205 Based on Orthogonal." Advanced Materials Research 472-475 (February 2012): 1305–8. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.1305.

Full text

Abstract:

For the duplex stainless steel 2205 used to make into chemical ships in shipyards，TIG welding is used for the welding test of duplex stainless steel 2205. Residual stress on 2 mm thick welding specimen is tested with the slot-cuting method,and the distribution of longitudinal residual stress along weld cross-section has been found. Orthogonal test methods are also used in this paper to optimize welding parameters.

APA, Harvard, Vancouver, ISO, and other styles

34

Hu, Min. "Welding Process Optimization of WELDOX960 High Strength Steel." MATEC Web of Conferences 207 (2018): 04005. http://dx.doi.org/10.1051/matecconf/201820704005.

Full text

Abstract:

This paper studies WELDOX960 high strength steel, analysis of the welding ability of WELDOX960 high strength steel. Analyze the weld ability of WELDOX960 high-strength steel materials, and study the influence of process parameters such as welding current, welding voltage, and welding speed on penetration depth and weld width in the automated welding process. Through this test, the welding process is optimized to ensure the weld quality. The results show that WELDOX960 high-strength steel adopts multi-layer and multi-pass welding to form better welds.

APA, Harvard, Vancouver, ISO, and other styles

35

Wang, Zhi Wei, Ya Long Wang, and Dong Dong Zhang. "Optimization on Parameters of Resistance Spot Welding Process for Galvanized Steel Plate." Advanced Materials Research 658 (January 2013): 178–81. http://dx.doi.org/10.4028/www.scientific.net/amr.658.178.

Full text

Abstract:

In order to research welding technology of DX51D+Z cold rolled galvanized steel, using multivariate nonlinear regression orthogonal combination design method, adopted the shear load as quality indicators, counted welding current, electrode force, welding time, squeeze time and the interaction of them as factors, to built the nonlinear regression models, by adopting this model to forecast shearing load. The result shows that this model has high forecast precision.

APA, Harvard, Vancouver, ISO, and other styles

36

Chen, Yingzi, Zhiyuan Yang, Wenxiong Peng, and Huaiqing Zhang. "Experimental investigation and optimization on field shaper structure parameters in magnetic pulse welding." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 235, no. 13 (May 5, 2021): 2108–17. http://dx.doi.org/10.1177/09544054211014846.

Full text

Abstract:

Magnetic pulse welding is a high-speed welding technology, which is suitable for welding light metal materials. In the magnetic pulse welding system, the field shaper can increase the service life of the coil and contribute to concentrating the magnetic field in the welding area. Therefore, optimizing the structure of the field shaper can effectively improve the efficiency of the system. This paper analyzed the influence of cross-sectional shape and inner angle of the field shaper on the ability of concentrating magnetic field via COMSOL software. The structural strength of various field shapers was also analyzed in ABAQUS. Simulation results show that the inner edge of the field shaper directly affects the deformation and welding effect of the tube. So, a new shape of field shaper was proposed and the experimental results prove that the new field shaper has better performance than the conventional field shaper.

APA, Harvard, Vancouver, ISO, and other styles

37

Ghosh, Abhishek, Pradip Kumar Pal, and Goutam Nandi. "Optimization of Welding Parameters in Tig Welding of Martensitic Stainless Steel AISI 420." Journal of the Association of Engineers, India 86, no. 3-4 (December 1, 2016): 53. http://dx.doi.org/10.22485/jaei/2016/v86/i3-4/130845.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Chandran, Rathinasuriyan, Sankar Ramaiyan, Avin Ganapathi Shanbhag, and S. K. V. Santhanam. "Optimization of Welding Parameters for Friction Stir Lap Welding of AA6061-T6 Alloy." Modern Mechanical Engineering 08, no. 01 (2018): 31–41. http://dx.doi.org/10.4236/mme.2018.81003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Slobodyan, Mikhail S., and Aleksey S. Kiselev. "Optimization of Welding Parameters for Small-Scale Resistance Spot Welding of Zirconium Alloys." Materials Science Forum 970 (September 2019): 145–52. http://dx.doi.org/10.4028/www.scientific.net/msf.970.145.

Full text

Abstract:

This paper presents the results of optimization of parameters for resistance spot welding of parts made of E110 zirconium alloy with a thickness of 0.25 + 0.25 mm. Its purpose was to determine the influence of welding current profiles on nugget metal structure and mechanical properties of welds. The highest tensile strength comparable with base metal (380...440 MPa) was observed when the ratio of integral heat input to current pulse duration was about two. Formation of martensitic structure and coarsening of nugget metal was observed with larger ratios. A proper fusion zone was not formed with lower ratios. Annealing of welded joints at a pressure of ~ 10–4 Pa and a temperature of 580 °C for one hour was necessary to reduce residual stresses and transformation of metastable martensitic phase to a more stable state. This reduced microhardness of nugget metal by 30...35% and increased tensile strength of welds. It was also possible to increase tensile strength and reduce dispersion of its values by increasing duration of current down slope after formation of a nugget. An increase in duration from 1 to 14 ms caused rise in tensile strength by ~ 18% and dispersion of its values by ~ 3%.

APA, Harvard, Vancouver, ISO, and other styles

40

Navaneeswar Reddy, G., and M. VenkataRamana. "Optimization of process parameters in welding of dissimilar steels using robot TIG welding." IOP Conference Series: Materials Science and Engineering 330 (March 2018): 012096. http://dx.doi.org/10.1088/1757-899x/330/1/012096.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Kang, Cunfeng, Chunyang Shi, Zixiao Liu, Zhifeng Liu, Xiaoqing Jiang, Shunjun Chen, and Chunmin Ma. "Research on the optimization of welding parameters in high-frequency induction welding pipeline." Journal of Manufacturing Processes 59 (November 2020): 772–90. http://dx.doi.org/10.1016/j.jmapro.2020.10.021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Sathiya, P., M. Y. Abdul Jaleel, and D. Katherasan. "Optimization of welding parameters for laser bead-on-plate welding using Taguchi method." Production Engineering 4, no. 5 (June 4, 2010): 465–76. http://dx.doi.org/10.1007/s11740-010-0234-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Ansari, Ahsan Jameel. "Parametric Optimization of MIG Welding Parameters of EN-31." International Journal for Research in Applied Science and Engineering Technology 7, no. 5 (May 31, 2019): 2222–25. http://dx.doi.org/10.22214/ijraset.2019.5371.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Marwan, Khaled Omer H., and Ramazan Kaçar. "Optimization of welding parameters for DP600/TRIP800 dissimilar joints." Materials Testing 60, no. 1 (January 4, 2018): 40–48. http://dx.doi.org/10.3139/120.111116.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Prasad, M. V. R. Durga, and Kiran kumar Namala. "Process Parameters Optimization in Friction Stir Welding by ANOVA." Materials Today: Proceedings 5, no. 2 (2018): 4824–31. http://dx.doi.org/10.1016/j.matpr.2017.12.057.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Subhashini, P. V. S., and Y. Nithin Chandra Manas. "Analysis and Optimization of Parameters for Friction Stir Welding." Materials Today: Proceedings 5, no. 5 (2018): 12376–83. http://dx.doi.org/10.1016/j.matpr.2018.02.216.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Sathiya, Paulraj, S. Aravindan, and A. Noorul Haq. "Optimization for friction welding parameters with multiple performance characteristics." International Journal of Mechanics and Materials in Design 3, no. 4 (August 8, 2007): 309–18. http://dx.doi.org/10.1007/s10999-007-9037-z.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Sathiya, P., S. Aravindan, A. Noorul Haq, and K. Paneerselvam. "Optimization of friction welding parameters using evolutionary computational techniques." Journal of Materials Processing Technology 209, no. 5 (March 2009): 2576–84. http://dx.doi.org/10.1016/j.jmatprotec.2008.06.030.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Rauf, Muhammad Mudassar, Aamir Nusair Khan, Iftichar Us Salam, Rehan Qayyume, and Shaheed Khan. "Optimization of Spot Welding Parameters in Similar and Dissimilar Alloys AISI-321 and Inconel-X750 Alloys." Key Engineering Materials 778 (September 2018): 9–15. http://dx.doi.org/10.4028/www.scientific.net/kem.778.9.

Full text

Abstract:

A series of experiments were conducted to optimize the welding of similar and dissimilar alloys i.e AISI-321 with AISI-321, Inconel-X750 with AISI-321 and Inconel-X750 with Inconel-X750. Single phase rectification type resistance spot welding machine was utilized for this purpose. Breaking load against different welding parameters was observed. Further, the defects of the welded zone were also studied by optical and stereo microscopes. It was noted that the welding current, welding time and the welding force play an effective role in the strength of the welding joint and the spot welding of Inconel-X750 with AISI-321 can be possible if the welding parameters are carefully selected.

APA, Harvard, Vancouver, ISO, and other styles

50

Arunchai, Thongchai, Kawin Sonthipermpoon, Phisut Apichayakul, and Kreangsak Tamee. "Resistance Spot Welding Optimization Based on Artificial Neural Network." International Journal of Manufacturing Engineering 2014 (November 9, 2014): 1–6. http://dx.doi.org/10.1155/2014/154784.

Full text

Abstract:

Resistance Spot Welding (RSW) is processed by using aluminum alloy used in the automotive industry. The difficulty of RSW parameter setting leads to inconsistent quality between welds. The important RSW parameters are the welding current, electrode force, and welding time. An additional RSW parameter, that is, the electrical resistance of the aluminum alloy, which varies depending on the thickness of the material, is considered to be a necessary parameter. The parameters applied to the RSW process, with aluminum alloy, are sensitive to exact measurement. Parameter prediction by the use of an artificial neural network (ANN) as a tool in finding the parameter optimization was investigated. The ANN was designed and tested for predictive weld quality by using the input and output data in parameters and tensile shear strength of the aluminum alloy, respectively. The results of the tensile shear strength testing and the estimated parameter optimization are applied to the RSW process. The achieved results of the tensile shear strength output were mean squared error (MSE) and accuracy equal to 0.054 and 95%, respectively. This indicates that that the application of the ANN in welding machine control is highly successful in setting the welding parameters.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Optimization of welding Parameters'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles