IA-B118-??? EFFECT OF PROCESS PARAMETERS ON FERRITE CONTENT OF ER308LSI BY MIG WELDING MUHAMAD IZZUL FAIZ BIN ABD RAHMAN 50215219160 Report Submitted to Fulfill the Partial Requirements For the Bachelor of Engineering Technology (HONS) in Welding and Quality Inspection University Kuala Lumpur July 2021 DECLARATION I declare that this report is my original work and all references have been cited adequately as required by the University. Date: 23/11/2021 Signature: …………………………………… (Proposal submission date) Full Name: Muhamad Izzul Faiz Bin Abd Rahman ID Number: 50215219160 ii APPROVAL PAGE We have supervised and examined this report and verify that it meets the program and University’s requirements for the Bachelor’s in engineering technology (HONS) in Welding and Quality Inspection. Date: 23/1/2021 Signature: …………………………………… (Proposal submission date) Supervisor: HJ. Nasrizal Bin Mohd Rashdi Official Stamp: Date: 23/11/2021 Signature: …………………………………… (Proposal submission date) Supervisor: Official Stamp: (Optional) iii ABSTRACT This study shows how process parameters affect ferrite number while joining ER308LSI diameter of 1.0mm with an inert metal gas (MIG) welding technique. The type of variable of process parameters is welding current with 70-110 A. Fisher's ferrite scope was used to determine the most optimistic ferrite percentage. There will be a total of 5 specimens with the same diameter which is 100mm x 100mm and thickness of 9mm will be tested in this research. Graphically depicted are the direct and interaction effects of input process parameters. iv CONTENTS DECLARATION ii APPROVAL iii ABSTRACT iv LIST OF TABLES vii LIST OF FIGURES viii LIST OF ABBREVIATIONS ix CHAPTER 1: INTRODUCTION 1.1 Overview 1 1.2 Problem statement 2 1.3 Objectives 3 1.4 Expected Outcomes 3 1.5 Scope and limitation of the research 4 1.6 Significant of research 4 1.7 Gantt Chart 5 CHAPTER 2: LITERATURE REVIEW 2.1 Introduction 6 2.2 Austenitic Stainless Steel 6 2.3 Process Parameter 7 2.4 Weld Overlay 9 2.5 Ferrite Content 10 2.6 GMAW Process 11 2.7 Argon Gas 14 2.8 Fischer Ferrite Scope 15 v CHAPTER 3: METHODOLOGY 3.1 Introduction 16 3.2 Organization Chart 17 3.3 Research Flow Chart 18 3.3.1 Work Breakdown Structure 18 3.4.1 Research Flow Chart 19 3.4.1 Flow Chart 20 3.4 Literature Review 22 3.5 Sample Preparation 22 3.5.1 Selected Material 22 3.5.2 Plate Dimension 23 3.5.3 Edge Preparation 24 3.5.4 Filler Material Used 24 3.6 Welding Procedure 25 3.6.1 Process Parameter 25 3.6.2 Preliminary Welding Procedure Specification 26 3.6.3 Welding Process 27 3.7 Specimen Preparation 27 3.8 Ferrite Measurement 28 CHAPTER 4: RESULT AND DISCUSSION 4.1 Introduction 29 4.2 Visual Inspection 29 4.3 Time Taken 32 4.4 Ferrite Test 33 4.4.1 Base Metal 34 4.4.2 Heat-Affected Zone (HAZ) 35 4.4.3 Weld Metal 36 4.5 Analysis 37 4.6 Heat Input 37 vi CHAPTER 5: CONCLUSION 5.1 Introduction 40 5.2 Summary 40 5.3 Future Recommendation 40 REFERENCES 41 APPENDICES 43 vii LIST OF TABLES Table No Title Page Table 3.1 Process Parameters 26 Table 3.2 Summary of pWPS 26 Table 4.1 The Time Taken for Each Pass to Complete 32 Table 4.2 Ferrite Percentage Test for Base Metal 34 Table 4.3 Ferrite Percentage Test for HAZ 35 Table 4.4 Ferrite Percentage Test for Weld Metal 36 viii LIST OF FIGURES Figure No Title Page Figure 1.1 Gantt Chart 5 Figure 2.1 GMAW Weld Process 12 Figure 3.1 Organization Chart 17 Figure 3.2 Work Breakdown Structure 18 Figure 3.3 Research Flow Chart 19 Figure 3.4 FYP 1 Flow Chart 20 Figure 3.5 Activity Flow Chart 21 Figure 3.6 Main Chemical Composition of Base Metal 23 Figure 3.7 Dimension of the Base Metal 23 Figure 3.8 Grinding Machine 24 Figure 3.9 Filler Material 24 Figure 3.10 Welding Sequence 25 Figure 3.11 Universal Polishing Machine and Carbide Sandpaper 27 Figure 3.12 The Schematic Configuration of The Ferrite Scope 28 Figure 3.13 The Value Measured Along the Axis of The Deposition 28 Figure 4.1 Surfacing Weld 70A 29 Figure 4.2 Surfacing Weld 80A 30 Figure 4.3 Surfacing Weld 90A 30 Figure 4.4 Surfacing Weld 100A 31 Figure 4.5 Surfacing Weld 110A 31 Figure 4.6 FERRITESCOPE FMP30 33 Figure 4.7 Grinded Weld Metal 34 Figure 4.8 Average Result of Ferrite Test on Base Metal 35 Figure 4.9 Average Result of Ferrite Test on HAZ 36 Figure 4.10 Average Result of Ferrite Test on Weld Metal 37 Figure 4.11 Comparison in Heat Input of all Specimen 39 ix LIST OF ABBREVIATIONS GMAW Gas Metal Arc Weld FN Ferrite Number ASTM American Society of Testing Material HAZ Heat Affected Zone MIG Metal Inert Gas WBS Work Breakdown Structure FCC Face-Center Cubic ASME American Society of Mechanical Engineering AWS American Welding Society WPS Welding Procedure Specification pWPS Preliminary Welding Procedure Specification x CHAPTER 1: INTRODUCTION 1.1 Overview Research STAINLESS STEELS are iron-base alloys with a minimum of roughly 12% Cr, which is required to avoid rust formation in unpolluted environments (hence the designation stainless). Only a few stainless steels have more than 30% Cr and less than 50% iron. The creation of an invisible and adhering chromium-rich oxide coating gives them their stainless properties. In the presence of oxygen, this oxide develops and heals. Nickel, manganese, molybdenum, copper, titanium, silicon, niobium, aluminium, sulphur, and selenium are some of the other elements that have been added to improve specific properties. Carbon is normally present in amounts ranging from less than 0.03% to over 1.0% in certain grades. There was a lot of a new type of stainless steel that have been introduced and commercialized since the first discoveries of these alloys. Stainless steel is a product that have been recognised for their corrosion-resistance properties and they also have a good versality in processing and application, due to their strict composition of control and ferrite/ austenite balance. However, this balance may be disrupted during welding in both the weld metal and the Heat Affected Zone (HAZ) due to rapid cooling rates. 1 1.2 Problem Statement Because of their superior corrosion and oxidant resistance, stainless steels are widely employed in a range of product forms for architectural, consumer, and industrial applications. However, they are prone to corrosion during welding. Corrosion is a condition that causes the steel structure to deteriorate and eventually fail. It cannot be completely removed, but it can be decreased to some extent. Surfacing creates a corrosion-resistant protective coating on top of the underlying metal. While surfacing process can create a corrosion-resistant protective layer, another problem that may arise in surfacing process is that the appearance of delta ferrite in microstructure of stainless-steel during welding. Delta ferrite phase can cause a discrete reduction on corrosion resistance, fatigue crack, and pitting corrosion. Heat, pressure, and caustic conditions necessitate metallurgical integrity in materials and welds. In stainless steel welds, pipes, plates, pressure vessels, and petrochemical components, proper ferrite measurement can assist prevent both solidification cracking and corrosion. Stainless steel can lose ductility, hardness, and corrosion resistance if the ferrite content is too high, especially at high temperatures. Stainless steel welds are subject to hot cracking or solidification cracks if the ferrite percentage is too low. . 2 1.3 Objectives The main purpose of this investigation is to find out the effect of process parameter on ferrite number in surfacing weld of ER308LSi stainless steel by MIG welding. Thus, to achieve the above purpose, there are two (2) objectives that have been identified as follows: 1. To analyze the data of ferrite number on the base metal using fisher’s ferrite scope after weld process 2. To compare which weld current will effectively controlling the ferrite number on surface metal. 1.4 Expected Outcomes The expected outcome of this research as follows: 1. The intended outcome of this study is that the process parameter will affect the dilution of bead weld process, hence changing the ferrite content on weld surface. For instance, increasing in welding current may resulted in increased of deposition of filler material. 2. Furthermore, the increase in welding current will resulted in decrease in ferrite number to mid value of welding current level thereafter a sudden increase in ferrite number. This phenomenon may happen because as the current level rises, the heat input to the base metal rises, increasing the ferrite number. 3. The variable in contact tip to work distance is predicted to not having any significance changes in ferrite number. 1.5 Scope and Limitation of the project / research The scope of this research is to determine the ferrite content of welded surfaces that can be done on the surface of steel plate ASTM 36 after ER308LSi 3 filler material been used by using the GMAW process. The changing of process parameter such as welding speed, welding current and contact tip to work distance will affect the ferrite number on the welded metal. The morphology analysis will determine the formation and changes in the microstructures. Ferrite number examination will be performed by using Fischer Ferrite Scop. However, the limitation for this research study is only limit to the type of the ASTM 36 that used as the base metal. In addition, the torch angle will fix permanently as 90 degrees. There are many considerations especially on the essential variable, supplementary variable, and non-essential variable in the welding process. So, the data that will obtained are restricted and following the associated variables in this research 1.6 Significant of Project/ Research The goal of this research is to help welding specialists on the need of having complete control over process parameters for weld to achieve high corrosive resistance, high quality, and low dilution percentage. Data on the potential impacts of ferrite content on the stainless steel of weld overlay is also considered. Furthermore, this study is crucial because it will assist industry in understanding the probable consequences of varying the value of a process parameter in the welding process on the ferrite percentage. On the other hand, the study will motivate other researchers and engineers to investigate the various types of austenitic stainless steel that can be used as filler material in the welding process. Furthermore, the research goal is to seek continual improvement to obtain correct data on the process parameter affecting process parameter to assure welding quality and cost effectiveness during the fabrication process. 4 1.7 Gantt Chart The planning of this research is shown in Figure 1 below. Figure 1.1: Gantt Chart 5 CHAPTER 2: LITERATURE REVIEW 2.1 Introduction This chapter discussed the related information concerning the research topic such as effect of process parameter etc. In addition, this chapter also discussed about the previous work done by the other researchers concerning the research topic and title. 2.2 Austenitic Stainless Steel Austenitic stainless steel is the most prevalent and best-known type of stainless steel. They may be recognised most easily by the fact that they are not magnetic. They are extremely malleable and can be welded; they can be used successfully at temperatures ranging from those found in cryogenic environments to those found in furnaces and jet engines. Their exceptional resistance to corrosion is due, in part, to the presence of between 16 and 25 per cent chromium as well as the possibility of dissolved nitrogen in the material. Because of the high cost of the nickel that is necessary to keep the austenitic structure of these alloys intact, their usage is not nearly as widespread as it could be. When it comes to the field of metallurgy, austenitic stainless steels provide a diverse variety of advantages. They can be worked so that they are soft enough (i.e., with a yield strength of roughly 200 MPa) to be formed easily using the same tools that are used for carbon steel, but they can also be worked so that they are very strong (with yield strengths that reach 2,000 MPa) when they are worked so hard (290 ksi). Their austenitic (fcc, face-centred cubic) structure is ductile and resistant to temperatures below zero. At higher temperatures, they do not have the same rate of deterioration as ferritic (bcc, body-centred cubic) iron-base alloys. The most corrosion-resistant grades can withstand the corrosive 6 conditions of the boiling ocean, while the least corrosion-resistant grades may withstand the corrosive conditions of the familiar environment. The austenitic grades of stainless steel are the classes that are used the most frequently. This is due to the austenitic grades' excellent predictability of corrosion resistance mixed with their great mechanical properties in a variety of contexts. If they are used effectively, the design engineer may be able to realise significant cost reductions, therefore. They are a metal alloy that is simple to work with and has a lower cost across its whole life cycle than many other materials. [1]. 2.3 Process Parameter The Gas Metal Arc Welding (GMAW) technique is well-known because it allows for variable input parameters that we may adjust. In GMAW, the parameters often include welding speed, current, voltage, the diameter of the wire. The shielding gas flow rate and the the distance from the contact tip to the job. Even though the experiment that will be carried out will use gas metal arc welding, the process parameters will still have to be controlled manually. Because it is responsible for determining the mechanical quality of the weld, the welding parameter procedure is exceptionally significant. Therefore, the parameters of the process that will be controlled manually will be the welding speed, the welding current, and the distance from the contact tip to work. To produce welds of a higher quality and achieve the required bead geometry dimensions, it is necessary to maintain total control over the essential process parameters. [2]. 7 Welding Speed Arthur Casarini et al [3] investigated the influence and optimization of the GMAW parameter on mechanical properties and weld geometrical. They stated that the welding speed has appeared as the most influential role in determine the weld geometry, contributing up to 63% to reinforcement, 66% to the width and 66.9% to penetration. The effect of weld speed was discovered to be that the joints welded at a high welding speed had a smaller weld bead size, greater tensile strength and elongation, a higher hardness, and a more significant propensity for pitting corrosion. This was compared to the joints welded with a medium and low welding speed. When the welding speed was increased, the dendrite length and inter-dendritic spacing in the weld zone decreased. This was the primary explanation for the visible changes in the weld joints' tensile, hardness, and corrosion characteristics [4]. Welding Current Izzatul Aini Ibrahim et al [5] conducted an experiment on the effect of GMAW process on different welding parameter. They predicted that the increasing number of values in welding current can lead to the greater value of depth penetration. Junling Hu et al [6] have conducted an experiment on effects of welding current on metal transfer and weld pool dynamics in gas metal arc welding. They concluded that when using a constant welding current, it was discovered that increasing the current led to deeper penetration and a larger weld pool. On the other hand, when using a pulsed welding current, it was found that the shape of the weld pool and the depth of the penetration could be controlled by adjusting the droplet size, frequency, and velocity through the pulse shape. 8 Contact Tip to Work Distance Amos Robert et al [7] investigated the behaviour of process parameter during stainless steel cladding. They concluded that stand of the distance is the dominant parameter to decide the bead appearance than with diffusion temperature and welding speed. The AWS A3.0 Standard does not define this phrase (contact tip to work distance), even though it is widely used in the industry and contact tip to work distance is even included in several the processes for welding. When preparing the weld or programming the robot, the optimum moment to measure the contact-tip-to-work distance is when you hit the arc, since you can take a physical measurement before you hit the arc, which is the most significant time. After the arc has been struck, the length of the arc will be determined by the voltage, and the extension of the electrodes can be measured either by sight or by the resistance in the circuit. When individuals talk about the distance from the contact tip to work, they frequently imply the total of the arc length and the electrode extension [8]. 2.4 Weld Overlay Corrosion-resistant weld overlays are frequently utilized to extend the service life of components constructed from corrosive materials. A fundamental challenge with an arc-weld-based overlay is dilution, or the degree to which the addition of base metal alters the chemistry of the deposited metal. While some general information is available on the level of dilution connected with common arc welding techniques, the exact dilution associated with a specific method might vary widely depending on the welding parameters used. As unbalanced chemistry can lower the service life of a coating usually, it is vital to maintain tight control over the dilution. Several variables impact dilution, such as the welding current, the arc voltage, the current polarity, the electrode diameter, the electrode extension, the weld-bead separation, the welding speed, the electrode grinding angle, the welding position, the shielding gas composition, and so on. To achieve the required qualities on the overlay, it is important to manage these factors within predetermined boundaries, which necessitates a thorough grasp of how each variable affects dilution. Codes and standards such as ASME Section IX for the 9 qualifying of welding methods say that heat input for the first weld layer is a crucial variable, i.e., a change in heat input of more than 110% of the certified value necessitates requalification. The same heat output may be attained by adjusting the welding current and speed. For several operations, it will have a completely distinct impact on the penetration depth and, consequently, the dilution. In many circumstances, the overlap between neighboring weld beads is more important than the heat input in determining the dilution [9]. 2.5 Ferrite Content The amount of ferrite in a steel is measured by its ferrite content. Ferrite is one type of microstructure (internal crystal structure) that can exist in steel. The crystal structure of an alloy contributes to its physical and mechanical properties. In stainless steel, a ferritic microstructure is typically associated with high strength and resistance to chloride stress corrosion cracking. It is also magnetic, which can be used to measure the ferrite content of duplex and super duplex stainless steels with a ‘Ferritescope.’ This is a useful technique because it can be used ‘in-situ’ to assess weld quality or review incoming stock without requiring test samples to be cut from the components [9]. Stainless steels in the 300 series, such as 304L and 316L, have an austenitic microstructure and are non-magnetic. They are essentially free of ferrite, which is magnetic, in the annealed state. The presence of ferrite in these alloys’ cast products is common. When these alloys are cold worked or work hardened, some ferrite is formed. The products will have a magnetic propensity in both circumstances. In some situations, ferrite can reduce corrosion resistance. There are also instances where magnetic properties interfere with the end product’s performance. The alloy composition can be used to adjust the ferrite content of the cast alloy. Carbon, Nitrogen, Nickel, and Manganese are all strong austenite formers, hence adding more of them to an alloy will lessen the potential for ferrite formation. There are various ways for determining ferrite content, but the DeLong diagram is one of the most frequent. Ferrite inhibits the formation of solidification cracks in steel during cooling. It’s not uncommon for 304 castings (CF8) to contain ferrite in the 10 range of 8% to 20%. The wrought 304 stainless cast ingot composition is also balanced to have 1% to 6% ferrite, which decreases the risk of cracking during forging or hot working [10] According to Rho et al [11] The effects of delta ferrite content on 304L stainless steel during a continuous low-cycle fatigue test at various temperatures were investigated. They found out that the fatigue crack was caused by surface delta ferrite. Lia et al [12] studied development and microstructural evolution of the delta ferrite phase in SAVE12 steel. They also showed that the high content of ferrite forming alloy elements caused the formation of delta ferrite. The chemical composition of the filler material during cladding determines the base material’s corrosion resistance. The higher the ferrite number, the worse the material attribute. As a result, obtaining the optimal amount of ferrite numbers during cladding is critical [13]. During cladding, the microstructure of austenitic stainless steel reveals a delta ferrite phase, which has a decremented influence on corrosion resistance [14]. 2.6 GMAW Process GMAW is a welding method that joins metals by heating them to their melting point using an electric arc. The arc is struck between a continuous, consumable bare (not coated) electrode wire and the workpiece, and it is insulated from ambient pollutants by a shielding gas. Shielding is achieved by inundating the arc, the melted end of the metal electrode, and the weld pool region with shielding gas. The bare wire is fed constantly and automatically from a spool via the welding gun, as shown in below schematic illustration of the GMAW process. 11 Figure 2.1: GMAW Weld Process [15] The fundamental concept of GMAW was introduced in the 1920s; however, the process was not commercially viable until 1948, when it was implemented as a high-current-density, small-diameter, 'bare-metal-electrode' method employing an inert gas for arc-shielding. Consequently, the procedure became known as metal inert gas welding. The GMAW was first mainly used for aluminium welding. However, the following process innovations included operation at low current densities and pulsed current, applicability to a wider variety of materials, and the use of reactive gases (mainly CO2) and various combinations of gas mixes. Both inert and reactive gases are used in this procedure as shielding gases. The numerous metals on which GMAW is used and the modifications to the process have resulted in various GMAW names. When this same welding procedure was used on steel, it was discovered that inert gases (argon and helium) were costly; thus, a reactive gas, CO2, was employed as a substitute; hence the phrase "CO2 welding." Refinements in GMAW for steel welding have resulted in the utilisation of gas mixtures, such as CO and argon and even oxygen 12 and argon. Occasionally, argon is combined with small amounts of oxygen (up to 5 percent). Properly blended compositions improve arc performance with less spatter and improve the weld's wetting (i.e., spreading and adhering) to the base metal. Some mixes are commercially available in cylinders and have been standardized. The selection of gases (and gas mixes) depends on the metal being welded and other variables. Inert gases are utilised to weld aluminium alloys and stainless steel, whereas CO2 or an argon/carbon dioxide combination is typically employed to weld low and medium carbon steel. Combining a bare electrode wire and shielding gases removes the slag coating on the weld bead, eliminating the requirement for manual grinding and cleaning of the deposited slag in the weld zone. Consequently, the GMAW method is perfect for doing numerous welds passes on the same joint, and a significantly greater production rate is attainable. In manufacturing, agriculture, the construction sector, shipbuilding, the marine and ground vehicle industries, and mining, GMAW is used for various applications. The method is used to produce welded pipes, pressure vessels, structural steel components, furniture, and auto parts, amongst other things. All economically essential metals, such as carbon steel, high-strength low-alloy steel, stainless steel, aluminium, copper, titanium, and nickel alloys, may be welded using the GMAW process. This process can be achieved by combining shielding gas, electrodes, and welding variables. GMAW may be accomplished in three distinct methods: 1. Semiautomatic welding — only the electrode wire feeding is controlled by equipment. The motion of the welding gun is manually controlled. This is referred to as "handheld welding" 2. Machine welding uses a gun coupled to a manipulator (not handheld). An operator must establish and modify the controls that continuously move the manipulator 3. Automatic welding employs welding equipment without the need for the welder or operator to modify the parameters constantly. Mechanical sensing devices on specific equipment control the correct gun alignment in a weld joint [15]. 13 2.7 Argon Gas Argon that has been combined with CO2 or O2 is recommended. For the welding of mild and low-alloyed steels, argon mixtures with 5–20 percent carbon dioxide are frequent. It is asserted that raising the CO2 concentration in the shielding gas decreases the inclusion and porosity content of the weld [16]. Argon mixtures with a lower oxidizing gas percentage will often yield more excellent weld characteristics than CO2 shielding alone. The oxygen concentration is appropriate since too little oxygen might potentially be damaging to toughness [17]. For welding stainless steel, argon with low quantities of an oxidant (either oxygen or carbon dioxide) is a popular gas mixture. The loss of manganese, chromium, and niobium increases as the concentration of an oxidising element in the shielding gas rises. The addition of CO2 to the mixture decreases the cost and increases the wettability of the weld bead, consequently enhancing the quality of the weld. However, the presence of CO2 causes the deposited metal to absorb carbon and oxidise. The addition of carbon to the weld pool can lower the ferrite concentration of the bead. Because carbon is a powerful austenite producer at high temperatures and during cooling, martensite can develop at the ferritic grain boundaries, reducing the joint's tensile strength. Adding a little quantity of oxygen can improve dip transfer when additional oxidation can be tolerated. The addition of hydrogen to argon increases the volume of the molten material and enables faster welding. Nevertheless, it can cause hydrogen fractures in welds, and its use is restricted. In some welding procedures, helium can be added to the gas mixture to improve weld penetration and puddle fluidity. The use of helium increases travels speeds while decreasing distortion [18-23]. 14 2.8 Fischer Ferrite Scope The magnetic induction method is used by the FERITSCOPE to determine the ferrite content in austenitic and duplex steel. All magnetizable structural sections are measured, including strain-induced martensite and various ferritic phases, in addition to delta ferrite. It can be used to take measurements in accordance with the Basler Standard and DIN EN ISO 17655. Site measurements, such as austenitic plating and weld seams in stainless steel pipes, containers, boilers, and other austenitic or duplex steel goods, are examples of applications [24] 15 CHAPTER 3: METHODOLOGY 3.1 Introduction This chapter explains and clarifies the research methods used in this study. To ensure that the research study runs smoothly, the working flow, which includes the Work Breakdown Structure (WBS), general research flowchart, and experimental flowchart, will be defined to avoid any unfavourable outcomes during the research process. In this chapter, all research procedures will be explained, including the process prior to sample preparation, sample preparation, welding process, experimental specimen sectioning process, and the procedure for each testing and examination that will be conducted during Final Year Project 2. The complete method of the intended research study was outlined in this chapter, which was separated into seven parts. The focus of the research study is Section 3.5, which details the sample preparation technique. Following that, Section 3.6 will detail the welding method, while Section 3.7 will cover the specimen preparation and experimental procedure that will be used in this study. 16 3.2 Organization Chart Organization chart will help us in making clear of the hierarchical status position on this research study. It is crucial in ensuring the effectiveness for the flow of the project. Below is the organization chart for this research study. HJ. NASRIZAL BIN MOHD RASHDI SUPERVISOR MUHAMAD IZZUL FAIZ BIN ABD RAHMAN STUDENT Figure 3.1: Organization Chart 17 3.3 Research Flow Chart 3.3.1 Work Breakdown Structure The Work Breakdown Structure is a breakdown of the complete activities that will be addressed in this study based on the scope of work. The scope of work is divided into four sections: research field selection, proposal writing, scheduling, and experimental procedure planning. The WBS serves as a roadmap for the research team to stay on track and complete the project on time. The planning, on the other hand, is dependent on any constraints that arise as the research progresses. Phase 1: INITIATION Phase 2: PLANNING Phase 3: SAMPLE PREPARATION Phase 4: LABORATORY PROCESS Figure 3.2: Work Breakdown Structure 18 Phase 5: CLOSURE 3.3.2 Research Flow Chart There are several phases of activity that should be taken into consideration in this research, as presented in flow chart at Figure Figure 3.3: Research Flow Chart 19 3.3.3 Flow Chart I. FYP1 Flow Chart Figure 3.4: FYP1 Flow Chart 20 II. Activity Flow Chart Figure 3.5: Activity Flow Chart 21 3.4 Literature Review The purpose of literature review is to describe the effect of changing the variable in process parameter in welding process and the effect of it onto the ferrite number. Gas Metal Arc Welding (GMAW) is used and the specimen that be welded is 9 mm thick. In this experimental procedure, different process parameter such as weld speed, weld current, and contact tip to work distance will be test upon A36 Carbon Steel by using ER308LSi as filler material. 3.5 Sample Preparation To produce a single bead of weld process, it is important to take into an account the method of the plate preparation, edge preparation, welding procedure specification (WPS), welding method and the specimen dimension to make sure that the welded sample are suited for ferrite testing. 3.5.1 Selected Material A36 is carbon steel that contains a small amount of sulphur. Carbon steels with less than 0.3 per cent carbon by weight are categorised as low carbon steels. As a result, this makes A36 steel remarkably versatile as generalpurpose steel since it is readily machined, welded, and shaped. Additionally, the low carbon content of A36 steel makes heat treatment ineffective. Other alloying elements such as manganese, sulphur, phosphorus, and silicon are frequently present in trace levels in A36 steel. These alloying elements provide the appropriate chemical and mechanical qualities to A36 steel. However, due to the lack of nickel or chromium in A36, it lacks superior corrosion resistance [18]. Below shows the main chemical composition of base metal A36 Carbon Steel. 22 Figure 3.6: Main Chemical Composition of Base Metal [18] 3.5.2 Plate Preparation The dimension of the plate that will be using is proximately 100 mm x 100 mm with 9 mm thickness from structural plate A36 Carbon Steel. There will be a total of 5 specimen will be prepared with different process parameters. To remove dirt and rust from the top surface of the base material, a steel wire brush and emery sheets were used to clean it. The figure below shows the dimension of the plate structural A36 Carbon Steel. 9mm Figure 3.7: Dimension of The Base Metal 23 3.5.3 Edge Preparation Each plate's edge preparation is done with a grinding machine as shown in the fig below. Figure 3.8: Grinding Machine 3.5.4 Filler Material Used The GMAW welding method has been chosen for this investigation. As a result, the filler metal that will be utilised is ER308LSi solid wire with a diameter of 1.0 mm. Figure below shows ER308LSi stainless steel filler wire that will be used in the process. Figure 3.9: Filler Material 24 3.6 Welding Procedure Welding operations is a crucial stage in a variety of fabrication processes. Before any welding operation can begin, a detailed method must be recorded. Procedure preparation is important since the procedure involves the manufacturer, authority staff, and the inspecting body using certain codes and standards, project specifications and requirements, and standard of engineering practises. The specimen's base material and filler material are shown in the figure below. A36 Figure 3.10: Welding Sequence [25] 3.6.1 Process Parameter The GMAW process design is recognised to have many input parameters to control. Voltage, current, speed, wire diameter, shielding gas flow rate, electrode orientation, and distance between nozzle and plate are all factors to consider. These variables can have a direct impact on the geometry of the weld bead, angular distortion, temperature field, and residual stresses. Current, speed, and contact tip to work distance were chosen as study input characteristics in this research. Table below shows the value process parameter that will be used. 25 Table 3.1: Process Parameters Specimen No. Current 1 70A 2 80A 3 90A 4 100A 5 110A For this research, a lot of process parameter will be fixed to keep the research fair such as torch angle (90 degree) and contact tip to work distance. 3.6.2 Preliminary Welding Procedure Specification Before welding the plate, the Pre-Welding Procedure Specification (WPS) must be set up. A document defining welding techniques is known as a pre-Welding Procedure Specification (pWPS). It is an important welding technician guideline for making high-quality weld overlay. It essentially gives thorough information welding parameters and the value that have been choose. Table below shows the summary of Preliminary Welding Procedure Specification (pWPS). Table 3.2: Summary Of pWPS Preliminary Welding Procedure Specification Summary Welding Process Gas Metal Arc Welding Welding Position 1G Filler Material ER308LSi Base Material A36 Carbon Steel Welding Current 70-110 Parameter 26 3.6.3 Welding Process Gas Metal Arc Welding (GMAW) process used to produce weld on plate mild steel. Metal inert gas welding is widely used for welding austenitic stainless steel because of several advantages, including the ease with which process parameters can be controlled, the ability to produce good bead dimensions, the reduction of dilution percentages, the reduction of spatter and fumes, and the high metal deposition rate. As a shielding gas, a mixture of Argon and Carbon dioxide (98 percent and 2%, respectively) is provided at a flow rate of 20 lit/min during the trials. 3.7 Specimen Preparation To produce the test specimen, the top surface of the specimens is grounded as a flat surface without disrupting the bead geometry or surface texture. After metallographic grinding and polishing procedures, etching is applied on the surface of the test specimen. Etching is a chemical or electrolytic process. Etching improves the contrast on surfaces so that the microstructure or macrostructure may be seen. Following metallurgical operation, it was polished with etching solution and polished to a mirror finish. The test specimens should be flat, polished, and defect-free for maximum precision. As indicated in the figure below, a consistent surface can be achieved by utilising a polishing equipment and abrasive carbide sandpaper with a scale of 240-2200 grit. Figure 3.11: Universal Polishing Machine and Carbide Sandpaper 27 3.8 Ferrite Measurement The ferrite number on welded specimens was measured using a Fischer FERRITESCOPE MP30. The measurement spans from 0.1 to 110 ferrite number or 0.1 to 80 percent ferrite in austenitic stainless steel. Figure below shows depicts a schematic configuration of the ferrite scope and specimen. Figure 3.12: The Schematic Configuration of The Ferrite Scope [25] Before measuring the ferrite number, the instrument must be calibrated according to an ANSI/AWS A4.2M/A4.2: 1997 standard specimen using an existing prepared specimen and ferrite form. The values are measured on the prepared surfaces of the 5 specimens, and five values are measured along the axis of the deposition in each specimen as shown in the figure below. Figure 3.13: The Value Measured Along the Axis of The Deposition [25] 28 CHAPTER 4: RESULT AND DISCUSSION 4.1 Introduction The results of the testing that has been carried out are going to be discussed in this chapter. In this section, we also go through how to understand the data and analyze it. There will be a presentation of the study's findings and an in-depth analysis of those findings to provide more comprehensive knowledge and comprehension of the purpose of the study. 4.2 Visual Inspection This section discusses the first goal of the investigation, which is to compare both specimens by visually examining them and draw comparisons between them. After the GMAW welding technique has been completed, a visual examination is carried out and graded on its results. Figure 4.1: Surfacing Weld 70A 29 Figure 4.2: Surfacing Weld 80A Figure 4.3: Surfacing Weld 90A 30 Figure 4.4: Surfacing Weld 100A Figure 4.5: Surfacing Weld 110A 31 The results of the visual inspections have been carried out. According to Figure 4.1, there are some visual defects on the surface of weld plate such as spatter. We also can clearly saw that the weldment is a bit undercut. Though, this defected can be forgive since this is not a weld joint and merely just surfacing weld. For figure 4.2, the defect of undercut has slightly increased from the figure 4.1 and the spatter also have increased. For the rest of the figures, we can see that the weldment has slightly defect from the first two. The reason for this was because the skill and technique of the welder. From the visual inspection, we can deduce that the welder needs several passes to complete until he was comfortable to complete the other weld passes. From the last three figure, we can observe that the weld bead become slightly wider than the rest. This happened due to the increased of the amperage resulted in increased of deposition rate. 4.3 Time Taken Table 4.1: The Time Taken for Each Pass to Complete Specimen Current (A) Time (s) 1 70 52 2 80 46 3 90 45 4 100 41 5 110 38 32 Based on the table above, we can observe that the time taken to complete one pass for the 70A took the longest time in to complete the weld in the research, with a total of 52 second. The time taken to complete the welding for the 110A has the shortest time, with a total of 38 second. From the data above, we can see that the time taken for specimen 2 does not far off from the specimen 3 with a total of 46 and 45 second respectively. We also can see that from 70A to 110A, the time taken for the pass to complete has reduced significantly. 4.4 Ferrite Test This section discussed about the results that obtained after using FERITSCOPE FMP30 (Fig.4.6). The result of the ferrite test will be compared between the different current setting. Before ferrite testing, the surface of the weldment will be grinded into smooth surface (Fig.4.7) so that it will not disrupt the reading of the ferrite test. The ferrite scope will be calibrated according to the standard of AWS A4.2. There will be three total main places to test which is the weldment, heat-affected-zone (HAZ), and the base metal. Below is the result of ferrite percentage after the testing has done. Figure 4.6: FERRITESCOPE FMP30 33 Figure 4.7: Grinded Weld Metal 4.4.1 Base Metal Table 4.2: Ferrite Percentage Test for Base Metal Base Metal Ferrite Percentage Test (%) Specimen Average 70A 80A 90A 100A 110A 47.8 53.2 53.1 77.1 74.5 53.6 64.4 63.5 64.4 55.3 47.2 60.9 52.9 62.6 50.7 63.4 47.5 48.9 64.2 54.4 47.8 48.3 51.6 57 55.2 51.96 54.86 54 65.06 58.02 34 Base Metal 70 60 50 40 30 20 10 0 70A 80A 90A 100A 110A Base Metal Figure 4.8: Average Result of Ferrite Test on Base Metal 4.4.2 Heat-Affected Zone (HAZ) Table 4.3: Ferrite Percentage Test for HAZ 70A HAZ Ferrite Percentage Test (%) Specimen Average 80A 90A 100A 110A 47.6 70.7 50 86.5 58.2 83.7 65.5 51.6 82.5 66.1 53.5 50.6 73.2 62.3 64.6 56.6 50 54.3 56.6 58.5 68.8 57.7 62.3 51.7 67.8 62.04 58.9 58.28 67.92 63.04 35 HAZ 70 68 66 64 62 60 58 56 54 52 70A 80A 90A 100A 110A HAZ Figure 4.9: Average Result of Ferrite Test on HAZ 4.4.3 Weld Metal S Table 4.4: Ferrite Percentage Test for Weld Metal Weld Metal Ferrite Percentage Test (%) Specimen Average 70A 80A 90A 100A 110A 7.1 4.1 4.5 5.1 6.9 10 5.4 7.2 7.0 6.2 9.5 7.2 6.3 6.3 6.2 10.5 7.3 5.9 6.2 6.5 8.6 6.8 6.0 5.0 5.0 9.4 6.16 5.98 5.92 6.16 36 Weld Metal 10 9 8 7 6 5 4 3 2 1 0 70A 80A 90A 100A 110A Weld Metal Figure 4.10: Average Result of Ferrite Test on Weld Metal 4.5 Analysis As shown in Figure 4.10, a rise in the welding current causes a drop in the ferrite percent, but only up to the point when the current reaches its midpoint; beyond that, there is a slight increase in the ferrite percent. This is mainly because at higher current levels, and the base metal is subjected to a more significant amount of heat, which results in a rise in the ferrite percentage. From the Figure 4.8, there was a rise in the ferrite percentage in the first increased of welding current in base metal then a slightly decrease. At the midpoint, we can see there was a sudden rise in ferrite percent. a rise in the welding current causes a drop in the ferrite number, but only up to the point when the current reaches its midpoint; beyond that, there is an abrupt increase in the ferrite number. 4.6 Heat Input The idea that underlies the significance of the amount of heat introduced during welding is that the rate at which the weld cools will slow down proportionately to the amount of heat raised. The grain size of most materials will 37 grow in the weld and heat-affected zones (HAZ) of the base metal if the cooling rate is slowed down. Formula for heat input is as follow: Heat Input = (60 x Amps x Volts) / (1,000 x Travel Speed in in/min) = KJ/in Travel Speed = Length of Weld / Time to weld So, for specimen 1: 52 second = 0.867 min Travel Speed = 100mm / 0.867 min Travel Speed = 115.34 mm per min Heat Input = (60 x 70 x 18.4) / (1,000 x 115.34 mm/min) = 0.67 KJ/mm For specimen 2: 46 second = 0.767 min Travel Speed = 100mm / 0.767 min Travel Speed = 130.378 mm per min Heat Input = (60 x 80 x 19.8) / (1,000 x 130.378 mm/min) = 0.729 KJ/mm For specimen 3: 45 second = 0.75 min Travel Speed = 100mm / 0.75 min Travel Speed = 133.33 mm per min Heat Input = (60 x 90 x 20.2) / (1,000 x 133.33 mm/min) = 0.82 KJ/mm 38 For specimen 4: 41 second = 0.68 min Travel Speed = 100mm / 0.68 min Travel Speed = 147.06 mm per min Heat Input = (60 x 100 x 20.4) / (1,000 x 147.06 mm/min) = 0.83 KJ/mm For specimen 5: 38 second = 0.63 min Travel Speed = 100mm / 0.63 min Travel Speed = 158.73mm per min Heat Input = (60 x 110 x 21.9) / (1,000 x 158.73 mm/min) = 0.91 KJ/mm Heat Input 1 0,9 0,8 0,7 0,6 0,5 0,4 0,3 0,2 0,1 0 Specimen 1 Specimen 2 Specimen 3 Specimen 4 Specimen 5 Heat Input Figure 4.11: Comparison in Heat Input of all Specimen 39 CHAPTER 5: CONCLUSION 5.1 Introduction The outcomes of the inspections and tests that have been carried out are covered in this chapter's discussion. Following the completion of the collection and organization of the data, the research results will be utilized to achieve the goals that have been set. 5.2 Summary The purpose of this research was to do a comparison on ferrite content between different current range from 70A to 110A using GMAW process on welded low carbon steel. The surfacing weld are chosen in this research to make comparison on ferrite content between different welding current. After collecting and analysing the data from the appearance of the weld, the time take to finish weld, the ferrite content test, we can conclude that the weld quality for current 110 is the most optimum and reasonable as the quality of the weld, time taken to finish the weld and the ferrite content far exceed than others. 5.3 Future Recommendation For further research, improvement could be done to ensure the result are more precise and wider range of data can be identified. 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