The influence of the input parameter in case of electron beam welding

Similar documents
North American Stainless

FLAME CuTTIng te la P is utting B c

APPLICATION OF DUAL RESPONSE AND TOLERANCE ANALYSIS APPROACHES FOR ROBUST DESIGN OF SPOT WELDING PROCESS

North American Stainless

GREY RELATIONAL ANALYSIS TO OPTIMIZE WELDING PARAMETERS FOR DISSIMILAR SHEETS OF MATERIAL IN RESISTANCE SPOT WELDING

Weld Cracking. An Excerpt from The Fabricators' and Erectors' Guide to Welded Steel Construction. The James F. Lincoln Arc Welding Foundation

Understanding Boiling Water Heat Transfer in Metallurgical Operations

Friction Surfacing of Austenitic Stainless Steel on Low Carbon Steel: Studies on the Effects of Traverse Speed

Experimental Investigation on Micro-Welding of Thin Stainless Steel Sheet by Fiber Laser

Wear-resistant steels. Technical terms of delivery for heavy plates. voestalpine Grobblech GmbH

Effect of Temperature and Aging Time on 2024 Aluminum Behavior

STUDY OF SHIELDING GASES FOR MAG WELDING

LASER CUTTING OF STAINLESS STEEL

Effective, latest technology for your products Contents

RESEARCH ON SURFACE ROUGHNESS BY LASER CUT

High-strength and ultrahigh-strength. Cut sheet from hot-rolled steel strip and heavy plate. voestalpine Steel Division

THE INFLUENCE OF STEEL GRADE AND STEEL HARDNESS ON TOOL LIFE WHEN MILLING IN HARDENED TOOL STEEL

EXPERIMENTAL AND NUMERICAL ANALYSIS OF THE COLLAR PRODUCTION ON THE PIERCED FLAT SHEET METAL USING LASER FORMING PROCESS

Welding. ArcelorMittal Europe Flat Products. Definitions of welding and weldability. Consequences of welding

Understanding Plastics Engineering Calculations

Manufacturing Tooling Cutting Tool Design. Elements of Machining. Chip Formation. Nageswara Rao Posinasetti

SALT SPRAY AND IMMERSION CORROSION TESTING OF PM STAINLESS STEEL MATERIALS. W. Brian James Hoeganaes Corporation. Cinnaminson, NJ 08077

Comparison of Mechanical Properties on 15CDV6 Steel Plates by TIG- Welding with and without copper coated filler wires

Standard Specification for Stainless Steel Bars and Shapes 1

RESEARCH PAPERS FACULTY OF MATERIALS SCIENCE AND TECHNOLOGY IN TRNAVA SLOVAK UNIVERSITY OF TECHNOLOGY IN BRATISLAVA

Design and Fabrication of a Wear Testing Machine

Chapter 2 Fractal Analysis in CNC End Milling

North American Stainless

Material data sheet. EOS StainlessSteel GP1 for EOSINT M 270. Description, application

North American Stainless

Material data sheet. EOS MaragingSteel MS1. Description

Estimating Welding Preheat Requirements for Unknown Grades of Carbon and Low-Alloy Steels

Avoiding Burning Through: Control the Inside Surface Temperature, Not the Pressure

Use of technical and economic analysis in production of liquid metal in foundries

POURING THE MOLTEN METAL

Martensite transformation, microsegregation, and creep strength of. 9 Cr-1 Mo-V steel weld metal

Material data sheet. EOS Aluminium AlSi10Mg_200C. Description

Handbook on the Ultrasonic Examination. Austenitic Welds

GENERAL PROPERTIES //////////////////////////////////////////////////////

ABRASIVE WATER JET CUTTING - TECHNIQUE, EQUIPMENT, PERFORMANCES

Analysis and Optimization of Investment Castings to Reduce Defects and Increase Yield

Modification of Pd-H 2 and Pd-D 2 thin films processed by He-Ne laser

OPTIMIZATION OF DIAMETER RATIO FOR ALPHA-TYPE STIRLING ENGINES

Ultrasonic Detection Algorithm Research on the Damage Depth of Concrete after Fire Jiangtao Yu 1,a, Yuan Liu 1,b, Zhoudao Lu 1,c, Peng Zhao 2,d

LASER CUTTING OF SMALL-DIAMETER HOLES IN ALUMINUM AND CARBON-STEEL SHEETS

ILV. Laser Welding: Line Scanners for Beam Shaping and Guiding. Alfred G. Arlt. Sulzbacher Str Schwalbach/Taunus DIPL.-ING. ALFRED G.

CHROMIUM STEEL POWDERS FOR COMPONENTS. JEANETTE LEWENHAGEN Höganäs AB, Sweden

Improved Broaching Steel Technology

, Plzeň, Czech Republic, EU

X15TN TM. A high hardness, corrosion and fatigue resistance martensitic grade CONTINUOUS INNOVATION RESEARCH SERVICE.

Vacuum Evaporation Recap

The mechanical properties of metal affected by heat treatment are:

MICROSTRUCTURAL AND MECHANICAL CHARACTERIZATION OF GRAY CAST IRON AND AlSi ALLOY AFTER LASER BEAM HARDENING

INJECTION MOLDING COOLING TIME REDUCTION AND THERMAL STRESS ANALYSIS

Material data sheet. EOS Aluminium AlSi10Mg. Description

Lead & Magnet Wire Connection Methods Using the Tin Fusing Method Joyal A Division of AWE, Inc.

North American Stainless

PRELIMINARY BROCHURE. Uddeholm Ramax HH

THREE MAIN SOLIDIFICATION REACTIONS OF VANADIUM MODIFIED T1 TUNGSTEN HIGH SPEED TOOL STEEL. Hossam Halfa

Problems in Welding of High Strength Aluminium Alloys

Think precision, Think HSS REAMING

Duplex Stainless Steel Fabrication. Gary M. Carinci TMR Stainless Consultant for International Molybdenum Association

Chapter 5 POWDER-BASED RAPID PROTOTYPING SYSTEMS

General Guidelines for Building Aluminum Production Injection Molds

Drill Pipe Hard-facing

Introduction. Keywords: Laser welding, Nd:YAG laser, AISI 316L, Ni-alloys, Thin foils.

North American Stainless

Simulation of Residual Stresses in an Induction Hardened Roll

Process Parameters Optimization for Friction Stir Welding of Pure Aluminium to Brass (CuZn30) using Taguchi Technique

Phased Array Ultrasonic Inspection Of 25%Cr Super Duplex Stainless Steel. On Subsea Manifold Piping Girth Welds In Lieu Of Radiography

Numerical Analysis of Transient Phenomena in Electromagnetic Forming Processes

INTERNATIONAL JOURNAL OF MECHANICAL ENGINEERING AND TECHNOLOGY (IJMET)

Journal of Engineering and Natural Sciences Mühendislik ve Fen Bilimleri Dergisi

Lecture 35: Atmosphere in Furnaces

Figure 1: Typical S-N Curves

FRETTING FATIGUE UNDER VARYING LOADING BELOW THE FRETTING FATIGUE LIMIT

THE INFLUENCE OF SHAPE AND SPATIAL DISTRIBUTION OF METAL PARTICLES ON THE THERMAL CONDUCTIVITY OF METAL-POLYMER COMPOSITES

DX2202 Duplex stainless steel

Verification Experiment on Cooling and Deformation Effects of Automatically Designed Cooling Channels for Block Laminated Molds

Additive manufacturing (aka 3D printing) of metallic materials Industrial applications and efficiency of technology

STAVAX SUPREME. Stainless tool steel

ENERGY EFFICIENCY ENHANCEMENT IN THE HOT ROLLING MILL

EXPERIMENTAL INVESTIGATION OF PCM USING RESPONSE SURFACE METHODOLOGY ON SS316L STEEL

Flash Butt Welding Machines

Analysis of M35 and M40 grades of concrete by ACI and USBR methods of mix design on replacing fine aggregates with stone dust

Big Ideas in Mathematics

North American Stainless

Coating Thickness and Composition Analysis by Micro-EDXRF

Valve Steel. Valve Steel

Module 3 Machinability. Version 2 ME, IIT Kharagpur

Module 1 : Conduction. Lecture 5 : 1D conduction example problems. 2D conduction

CORRELATION BETWEEN HARDNESS AND TENSILE PROPERTIES IN ULTRA-HIGH STRENGTH DUAL PHASE STEELS SHORT COMMUNICATION

Material data sheet. EOS CobaltChrome MP1. Description

Simulation of Transient Temperature Field in the Selective Laser Sintering Process of W/Ni Powder Mixture

Low Temperature Impact Toughness of Structural Steel Welds with Different Welding Processes

ALLOY 6022 SHEET. Higher Strength with Improved Formability SUPPLYING THE WORLD S BEST

Continuous Cooling Bainite Transformation Characteristics of a Low Carbon Microalloyed Steel under the Simulated Welding Thermal Cycle Process

Transcription:

The influence of the input parameter in case of electron beam welding MUNTEANU ADRIANA, NAGÎŢ GHEORGHE Department of Machine Tools, Department of Machine Manufacturing Technology Technical University Gh Asachi Iasi B-dul D. Mangeron, no.59a ROMANIA adycypmunteanu@yahoo.com, nagit@tcm.tuiasi.ro Abstract: - Choosing an optimum working value for the electron beam welding input parameters is important both for obtaining some technological parameters and for ensuring the quality required. Mathematical empirical modelling of experimental data allows obtaining dependent relationships between weld penetration depth and width welding and inputting parameters. This selection of the process parameters makes it possible to choose the conditions favourable for any type of material. In this paper, a model for penetration depth and weld width estimation based on the working parameters is proposed. One can study the dependence of the penetration depth (H) and width welding (B) on the process parameters so that in the end the mathematical model describing this dependence will be validated based on experimental test results. Key-Words: - welding, electron beam process, mathematical model, penetration depth, width welding 1 Introduction Unconventional technologies are used in the processing of many common materials, not just for those with special properties. In many cases, due to the large volume of material that can be processed in a certain unit time these processes are more effective in comparison to classical processes, which imply a major consumption of energy and tools. In most of these new processes, energy and tools consumption is reduced or almost zero, some tools having high durability, as the processing electrochemistry, beams of electrons or ions, laser etc. The main processes that are based on the use of electron beam are: welding, drilling, hardening and heat treatment. Such processes are only part of many processing procedures based on the applications of electron beam. The process of electron beam welding is a method of making fusion weld; the heat is generated at the impact of an electron beam of high energy with the working pieces to be joined. This method produces deep welds without adding overly heat that can disadvantageous affect the properties of the surrounding metal. In the field of electron beam welding, the specialized literature is vast and covers up the research in the filed. Regarding the aspect mentioned in his paper, Koleva in 2005, [1] connected the electron beam welding parameters to the improvement of the process thermal efficiency. Chi in 2008, [2] analyzed the influences of electron beam welding parameters on weldments strength and defect formation in case of AZ-series magnesium alloys. Items related to heat-affected zone have been clarified in his work by Richards in 1994, [3]; these aspects regard the influence of electron-beam welding parameters on heat-affected-zone in case of INCOLOY 903, especially in case of microfissuring apparition. A process model for the heat-affected zone microstructure evolution in duplex stainless steel weldments was realised by Hemmer in 2000, [4]. The effects of electron beam focusing characteristics on fusion zone are analytically investigated by Ho in 2005 [5]. The paper analyzed the weld quality during electron beam welding depending on beam power, welding velocity, and focusing parameters. There are different researches connecting the weld penetration depth of linear energy, the speed of welding or theoretical relationships which attach an expression for determining the approximate relationship. Many studies associate the weld penetration with welding speed and focus on the effect of welding speed to penetration depth under conditions in which other parameters are kept constant, but do not take into account interactions between factors. In this way fewer issues addressed are related to the parameters dependence on the working parameters of the output process, requiring a relationship of this dependency. 2 Input parameter after systemic approach The main electro-technological parameters characterising electron beam welding process, according to their extent of interference in the welding process, may be the following [6, 7]: ISSN: 1790-2769 484 ISBN: 978-960-474-122-9

a. The parameters related to the electron beam: - accelerating voltage, U a ; - beam current, I f ; focusing current, F; beam diameter, d; b. The parameters characteristic to the welding features: the type of the material, thermo-physical and chemical features of the material; workpiece thickness; c. Other parameters: welding speed, v; focal distance, d t (the distance from the inner surface of the gun to welded workpiece); vacuum pressure in the electronic gun chamber cannon P t ; vacuum pressure of the welding chamber P s, preheating temperature, Tpr; heat treatment after welding. Starting with this theoretical consideration, the necessity to attach a particular working condition is imposed. Choosing the technological parameters is a basic problem of further conducting the experiment. The correct choice of these parameters depends on the ability to reflect the most important phenomena of the technological process studied. When one chooses the input parameters one should take into consideration the possibility to easily change and measure them, their ability to significantly influence the process being also important. Furthermore, these factors should not have functional dependencies between them. Establishing the dependent parameters, which depend on the entire structure of the experiment, is based on the optimization objectives pursued, as the strategy for obtaining the mathematical model. They represent the output values and are generally economic parameters (productivity, quality, and cost) or parameters concerning the operating behaviour of the product (figure 1) [8, 9, 2]. Analyzing and synthesizing the amount of information available on the electron beam process, one may form a clear idea of the processing operation as a whole, but for the achievement of experiments one should neglect certain parameters, in order to obtain a better productivity of the process and to keep the focus on the direction of interest. The variation of the process parameters has a distinct and complex influence on the electron beam machining process products. The systemic models for the electrons-material interaction allow establishing the main parameters for each application (accelerating voltage, focus current, processing speed etc.) and by these factors an efficient control in processing time. Thus, the systemic approach gives the possibility to modify the specific parameters, and also to obtain the convenient results. Fig.1. Electron beam process parameter ISSN: 1790-2769 485 ISBN: 978-960-474-122-9

The initiation of some research regarding the electron beam welding has requested an analysis of the process conditions. The specific knowledge has allowed development of a graphical representation designed to reveal the parameters of interest in electron beam welding and the factors that influence these parameters. Thus, the proper choices of the input parameters are important for the successful application on electron beam welding process. Following this analysis, the factors change during the process can be observed in Figure 2. Parameters that remain constant and the main input parameters and values for this parameters can be seen in Table 1. 3 Experimental research The proposal for this paper implies obtaining an objective function of the parameters output from the input process that connect width and penetration welding with the working regime and default of technological parameters of the processing equipment. The specimens were made from steel with little percentage of carbon with the chemical composition presented as following: 0.112 % C, 0.048 % Si, 0.58 % Mn, 0.014 % P, 0.032% S, 0.166% Cr, 0.026% Mo, 0.108% Ni, 0.039% Al, 0.011% Co, 0.189% Cu, 0.003% Nb, 0.001% Ti, 0.004% V, 0.010% W, 0.004% Pb, 0.016% Sn, 0.003% As and 98.649% Fe. The equipment used was ELA 60/60 (AFE) welding equipment fit out with a vacuum system and a working chamber. The technical characteristics of the equipment imply an accelerating voltage of 60 kv, the current intensity, measured in ma, between 5 and 1000, the focusing current from 400 ma to1000 ma, and the pressure in the electron gun chamber, Pa (mm Hg) - 10.7 * 10-3 (8 * 10-5). In this study one used an accelerating voltage of 60 kv and two values for beam current: 150 ma and 250 ma. The vacuum of the work chamber was better than Pa (mm Hg) 10. 7*10-3 (8*10-5) In order to obtain the model proposed in the practical realisation of the experimental research, in carrying out the experimental tests one took into account, in the choice of input parameters, the process of preliminary tests, which revealed the levels of each factor, for which the simulation software specialist EBSim was used; furthermore one needed to consider the technological possibilities of the welding beam electron equipments, as well. According to bibliographical references in this field of activity, the thermal energy or the thermal energy quantity transferred to the workpiece varies according to four basics parameters: the number of electrons that reach the workpiece in a certain unit of time (beam focusing current F); the electron velocity (accelerating voltage U a ); beam current (I f ); welding or working speed (v.) Fig.2. Electron beam welding parameters Table 1. Factor levels in the experimental program for the electron beam welding Establishing the analytical size-dependence of the penetration depth H and welding width B and the parameters of (I f, v and F) means finding a method which, based on a series of measured values of the two output variables, should allow a general relationship between them. The choice of regression equation is based on some theoretical considerations or on the graphical representations of experimental data. 4 Results and discussion Using the experimental data obtained, polynomial regression models for the behaviour of weld penetrating depth (H) and weld width (B) are found. These two output parameters depend on various factors, such as beam power (through beam current and acceleration voltage), welding velocity, position of the focus of the beam towards the welded material surface, the vacuum pressure, the welded material etc. The variation law of input factors in the process (recurrence relations) can be written as a matrix (proposed by Vigier) but also by using the method of least squares it can be written in the form of relations 1-7. The penetration depth is an important factor critical to the quality of an electron beam weld H= - 144.143 + 0,137 I f 26.346 v +0.218 F (1) ISSN: 1790-2769 486 ISBN: 978-960-474-122-9

H=5.805 10-20 I f 1.273 v -0.537 F 6.101 (2) If the focalization current (F) is maintained at a constant value (744 ma) the regression function has the main expression: H=0.201 I f 0.04 v -0.509 (3) For the welding width the mathematical model is: B= - 57.17 + 0.0135 I f - 6.731 v + 0.092 F (4) B=1.892 10-17 I f 0.216 v -0,286 F 5.957 (5) B=- 15.767 +0.135 I f +5.855 v (6) B=0.982 I f 0.33 v -0.627 (7) The models 1-7 are used for a visualisation of the relationships between the main parameters considered. Conclusions from analysis of determined empirical functions. As expected, the empirical functions determined emphasize the increase in the depth of penetration and weld width along with an increase in intensity value of the I f current electron beam (Fig.3 and Fig.4), this fact being revealed by the positive value of the exponent I f in the power type relations. Indeed, with increasing intensity of the beam current, there is a greater transfer of energy and the area affected by the melting (and in which structural transformations take place) is greater. On the other hand, increasing the speed of welding means that the maintaining time of workpiece under the electron beam action is lower and, as such, the penetration depth and width of welding bath will have a lower value, the situation being suggested by the negative exponents of the corresponding parameter v in the empirical power type relations. One should also observe that the corresponding exponent I f, the current intensity of electron beam, is smaller in absolute value than the exponents attach to the welding speed v, which means that the influence of intensity I f current is less than that exerted by the speed welding v, as it can be ascertained from the analysis of power functions. Fig.3. Penetration depth depending on current intensity and welding speed Fig.4. Weld width depending on current intensity and welding speed Should one take into consideration and analyze the dependence relation and the power expression, the most important parameter is beam focusing current since it has the highest exponent. ISSN: 1790-2769 487 ISBN: 978-960-474-122-9

If one examines the cases and steels with a less percentage of carbon and a steel with 0.45% of C, which is expected to be primarily a difference between the carbon content, one finds out that in case of the penetration depth the exponents attach to v and I f parameters are larger in absolute terms in the second analysed case, which could justify the decrease in melting temperature of steel, with increasing carbon content. This heat affected area (HAZ) is small in the studied case, ranging between 0.02-0.06 mm. In the case of steel with small percentage of carbon, in the weld area and heat affected zone, the granular value is smaller than for other classic welding processes. There is no danger of split in the cold, so-called split by hardening, due to reduced quantity of heat introduced during the welding process and to high speed of heating and cooling. The structure of the weldments of common steel is similar to that of carbon steel; however, one can notice more Fe a, because lower quantities of carbon are present. Melted zone is characterized by a scratchy structure of similar structural composition but with a much less grainy value and, as we mentioned, the heat affected zone is small. 5 Conclusion In this paper the electron beam welding process for common steel has been modelled by using the least squares method. These approaches are used in an attempt to determine a regression function between the inputs and outputs of the welding process. Following the systemic study conducted [1, 3] there were chosen main parameters that define the process of electron beam welding which were further on used in the research program to determine the process functions such as H and B for a common steel with a little percentage of carbon, while other parameters were maintained at a constant value. By following this analysis one considered that as the input of various parameters, the most important influence on the main features of the process parameters are the current intensity I f, welding speed v and focusing current F. - The various welding speeds will have different effects on welding geometry (H and B); by increasing the welding speed, the value of the welding decreases. - The experimental data have shown that the penetration depth of an electron beam into a workpiece is influenced by several factors. In order to achieve the weld criterion the beam must completely penetrate the workpiece, in which case the energy to do the welding, the speed and focusing current were significant. - Relative to the previous expression, the impact of the beam current (current intensity) is significant on the weld characteristics but the welding speed seams to be more important than all the other factors considered. For the results, it has been observed that the penetration depth increases with the increase of the current intensity value. References: [1] X1. Koleva, E., Electron beam weld parameters and thermal efficiency improvement, Vacuum, No.77, 2005, pp. 413-421. Available at: www.elsevier.com/locate/vacuum. Accessed: 23.08. 2006. [2] X2. Chi, C.T., Chao, C.G., Liu, T.F., Wang, C.C., Relational analysis between parameters and defects for electron beam welding of AZ-series magnesium alloys, Vacuum No.82, 2008, pp. 1177 1182. [3] X3. Richards, N. L., Nakkalil, R., Chaturvedi, M. C.,. The influence of electron-beam welding parameters on heat-affected-zone microfissuring in INCOLOY 903. Metallurgical and Materials Transactions A, Vol. 25, No. 8 / August, 1994. [4] X4. Hemmer, H., Klokkehaug, S., Grong Ø., A process model for the heat-affected zone microstructure evolution in duplex stainless steel weldments: Part II. Application to electron beam welding. Metallurgical and Materials Transactions A, Vol. 31, No 3 / March, 2000. [5] X5. Ho, C.Y., Wen, M.Y., Lee, Y.C., Analytical solution for three-dimensional model predicting temperature in the welding cavity of electron beam. Vacuum, No.82, 2008, pp. 316 320. [6] X6. Dulau, M., Advanced control methods in electron beam processing. Nonconventional Technologie Review, No.1, 2005, pp. 67-73. [7] X7. Evgrafov, N. N., Lysenkov, Yu. T. Feoktistova, E. M., Mashkova, M. A., Khokhlov, V. V., Properties and structure of welded joints of highstrength steel after zonal heat treatment by electron beam. Metal Science and Heat Treatment, Vol. 33, No. 3 / March, 1991. [8] X8. Schmid, U., Schmitt-Landsiedel, D., Krötz G., Evaluation of electron beam welding technique for the integration of robust sensor elements into highpressure automotive systems. Microsystem Technologies, Vol. 14, No. 8 / August, 2008. ISSN: 1790-2769 488 ISBN: 978-960-474-122-9