1 http://www.afdex.com AFDEX, INTELLIGENT METAL FORMING SIMULATOR METAL FORMING SIMULATION The figure on the front cover is a symbolic representation of the hot forging process with the M standing for an upper die, the S a lower die, and the F a workpiece deformed from a simple cylinderical billet. The initial temperature of each is respectively 500, 200, and 1200° C. The axi-symmetric process producing the letter F is also made out of the acronym for Metal Forming Simulation (MFS). The figure suggests what MFS can do. It can simulate not only metal flow lines and temperature distribution but also various state variables including stresses, strains, strain-rates, die pressures and stresses, die wears, forming loads, damages and the like. MFS technologies replaced costly and time-consuming trialand-error approaches in metal forming processes two decades ago. MFS technologies have led to innovations in metal-forming process design, and their influence now extends even to quality control of metal-formed products, as well as to cost reduction and productivity enhancement in the development of metal-forming processes. In the near future, major customers of automobile manufacturers may demand simulation results before purchasing metal-formed products. For example, small and midsized forging companies in Korea have been using MFS technologies for much of the past decade, and most of the leading Korean forging companies are now using these technologies. As a result, dependency on metal-forming technology of leading countries for processes and die design has been drastically lowered, and forging industries have made significant contributions to enhancing the global competitiveness of the Korean automobile industry. AFDEX AFDEX, an Intelligent Metal Forming Simulator AFDEX is a general-purpose metal forming simulator, which meets the following requirements for intelligent bulk-metalforming (BMF) simulation (BMFS): Solutions should be accurate, and volume loss or change due to the numerical procedure should be minimized and acceptable. Intelligent meshing or remeshing capabilities should minimize solution inaccuracies during remeshing and smoothing state variables. Optimized or adaptive meshing density capabilities should be adopted to obtain a solution within a reasonable computational time and without solution inaccuracy. Also, one should be able to successfully mesh complex geometries. Characteristic boundaries (or edges) and workpiece-die interface boundaries should be accurately traced during simulation and remeshing to minimize changes in the boundary value problem due to remeshing. (This is particularly important in MFS.) Multi-stage BMF processes (especially multi-stage forging processes) should be simulated automatically to reduce the total simulation time (including both computational time and user processing time between the stages). The simulator should be convenient and user friendly. Currently, AFDEX is theoretically based on the rigidthermoviscoplastic finite element method. As summarized in Table 1, there are a number of modules, including AFDEX 2D, AFDEX 3D, AFDEX 3D/OPEN, AFDEX HEXA/RING, AFDEX HEXA/RFORM, AFDEX 2D/DIE, AFDEX 3D/DIE, AFDEX MAT, AFDEX 2D/3D, AFDEX 2D/PRE/POST, AFDEX 3D/PRE/POST, AFDEX DB, and AFDEX Web. AFDEX 2D and AFDEX 2D/DIE use quadrilateral finite elements. AFDEX 3D, AFDEX 3D/OPEN, and AFDEX 3D/DIE employ tetrahedral elements, whereas AFDEX HEXA employs hexahedral elements. AFDEX 2D/DIE and AFDEX 3D/DIE are integrated die structural analysis programs that accompany the respective BMF simulators, AFDEX 2D and AFDEX 3D. AFDEX MAT provides users with highly accurate true stress-strain curves for the materials in use at room temperature. AFDEX 2D/3D allows combined 2D and 3D simulations to be carried out, and permits 2D results to be more vividly visualized via a powerful 3D computer graphic utility. AFDEX DB provides material and process information, including flow stresses, forming machines, and the like. Flow stresses for most commercial materials are available with a wide range of state variables, including temperature and effective strain. AFDEX Web is a special web version of the simulator that can be used online by small or large academic, commercial, and research communities. In the near future, small or midsized Korean forging companies will be supported with the AFDEX web version. Of course, AFDEX completely satisfies the aforementioned requirements for intelligent MFS. In what follows, characteristics and typical applications of AFDEX are discussed in terms of its intelligence. Table 1 - AFDEX modules Module AFDEX 2D AFDEX 3D AFDEX 3D/OPEN AFDEX HEXA/RING AFDEX HEXA/RFORM AFDEX 2D/DIE AFDEX 3D/DIE AFDEX MAT AFDEX 2D/3D AFDEX 2D/PRE/POST AFDEX 3D/PRE/POST AFDEX DB AFDEX Web Capability 2D MFS 3D MFS for most processes Open die forging simulation Ring rolling simulation Roll forming simulation 2D die structural analysis 3D die structural analysis Material identification 2D/3D combining capabilities 2D pre and post-processor 3D pre and post-processor Database for material, etc. Web version of AFDEX Verification and Accuracy of AFDEX Figure 1(a) shows the metal flow lines and effective strain predictions generated during tensile tests for two specially preheat treated steels ESW95 and ESW105 and a special steel SCM435. Figure 1(b) compares the results of tensile tests for three different materials with predictions obtained from AFDEX. The flow stress information used in the predictions was obtained from AFDEX MAT. It can be seen from Figure 1(b) that the engineering stress-strain predictions are so close to the experimental results that the errors can be negligible, especially from the necking point to the fracture point. SCM435 ESW95 (a) Effective strain and metal flows ESW105 http://www.afdex.com 2 Experiment 1200 Experiment Analysis Experiment Analysis Experiment Analysis 1000 Analysis (SCM435) SCM435 SCM435 (SCM435) (ESW95) ESW95 ESW95 (ESW95) ESW105 (ESW105) ESW105 (ESW105) 800 600 400 200 0 0 0.1 0.2 0.3 0.4 Engineering strain (mm/mm) (b) Engineering stress-strain (a) Metal flow lines carved in a first-generation hub-bearing race Internal crack Figure 1 - Comparison of predicted and experimental engineering stress-strain curves in a tensile test Figure 2 compares the difference in deformed shapes between the experiments and predictions in cylinder compression and forward extrusion of two different materials of SCM435 and ESW105, indicating that the experiments closely match the predictions. Experiment Analysis Experiment Analysis Damage Metal flow and temperature (b) Cracks and their possible causes Figure 3 - Comparison of predictions and experiments (2D, hot forging, bearing race) SCM435 ESW105 (a) Cylinder compression Experiment Analysis Experiment SCM435 Analysis Figure 4 compares the predictions and experimental results for an automatic five-stage cold forging process, showing that the predictions are sufficiently accurate that costly process design tryouts can again be eliminated or minimized. It should be emphasized that even though the product has a comparatively simple shape, the simulation of this kind of process is much more difficult than it seems, as it not only requires very high precision but also involves an intermediate piercing stage. Note that simulation of automatic multistage-forging processes (sometimes called fastener forming processes or former processes) should be supported by more sophisticated capabilities of BMF simulators (compared with common press forging processes), as their consecutive stages are closely related, and the die-workpiece tolerance at each stage is very tight. ESW105 (b) Forward extrusion Figure 2 - Comparison of deformed shapes Figure 3(a) compares the experimental and predicted metal flow lines generated by an automatic three-stage hot-forging of bearing parts, in which a product quality depends on the soundness of the metal flow lines. As this figure indicates, the predictions are accurate enough to permit engineers to eliminate costly and timeconsuming process design tryouts that have traditionally been deemed essential to the development of hot-forging processes for bearing parts and other such items. Figure 3(b) shows the internal cracks of the product with their possible causes in terms of metal flow lines and temperature distribution. Figure 4 - Comparison of predictions and experiments (2D, cold forging, automotive part) 3 http://www.afdex.com A coupled analysis of both temperature and deformation was carried out for a hammer forging process for a ship engine using a counter-blow hammer forging machine with a capacity for predicting the number of blows attempted. The predictions and experimental results were in very close agreement in terms of the final product shape, as shown in Figure 5 and the predicted number of blows was also acceptable. (a) Bending (b) sizing Figure 7 - Comparison of predictions and experiments (3D, cold forging, rotor pole) A bevel gear enclosed die forging process was simulated. As this is a representative process in net shape manufacturing, a precision simulation is required. Figure 8 compares the predictions and experimental results, and a close similarity between the simulation and experiment is once again demonstrated. Figure 5 - Comparison of predictions and experiments (3D, hammer forging, ship engine crankshaft) A hot ring-rolling process was simulated using AFDEX HEXA/RING, and Figure 6(a) shows a good match between the predictions and experimental results. A cold ring-rolling process of a taper roller bearing race was also simulated, and the reason for the under-filling defect formation was shown in Figure 6(b). Figure 8 - Comparison of predictions and experiments (3D, cold forging, bevel gear enclosed die forging) (a) Hot ring rolling Solution Sensitivity Adaptive and Intelligent Mesh Generation Remeshing capability in BMFS is of great importance because it governs program generality, solution accuracy, and even user friendliness, all of which are essential for intelligent BMFS. The quadrilateral mesh generator of AFDEX 2D and the tetrahedral mesh generator of AFDEX 3D were developed specifically for BMFS and are therefore optimized for that purpose. (b) Non-symmetric cold ring rolling (taper roller bearing race) Figure 6 - Comparison of predictions and experiments (3D, ring rolling) Figure 7 compares the predictions and experimental results of a rotor pole forging process, composed of a bending stage and a final sizing stage, revealing that the predictions reflect the most important features of the experiments. (a) Die mesh http://www.afdex.com 4 (a) 2D (b) Workpiece mesh Figure 9 - Intelligent quadrilateral remeshing Figures 9 and 10 illustrate several typical quadrilateral mesh systems and tetrahedral mesh systems, respectively. It should be emphasized that the deviation between the desired and generated mesh densities and the number of transition elements or regions is minimized during mesh generation or remeshing. Additionally, mesh quality (i.e., mesh regularity and normality near the workpiece-die interface) is optimized to reduce numerical inaccuracies. As Figure 10 illustrates, the mesh density of the generated tetrahedrons is in close agreement with the desired mesh density, which is one of the greatest advantages of the automatic remeshing capability of AFDEX. These features help AFDEX to ensure solution accuracy and provide sophisticated simulations of precision BMF processes. Generated mesh system (b) 3D Figure 11 - Examples of specially constructed mesh systems 0.1 0.2 0.2 0.8 0.6 0.3 0.1 0.3 Desired mesh density 0.2 0.3 0.70.5 0.9 0.4 During remeshing, it is inevitable that the workpiece shape will be subject to numerical smoothing, especially near characteristic lines or surfaces (including sharp corners), which naturally leads to numerical volume loss. Accordingly, mesh density control capability, especially near sharp edges, is of great importance in precision simulation of metal forming processes. In AFDEX, geometrical aspects (e.g., surface curvature, workpiece-die interface, sharp edges) and state variables (e.g., strain, strain rate, temperature gradient) are used to determine the optimal mesh density. Figure 12 shows a typical tetrahedral mesh system, namely the final configuration used to predict the spiral bevel gear forging process. 0.7 0.3 0.2 0.5 0.3 0.8 0.2 0.9 0.5 0.1 0.2 Figure 10 - Intelligent tetrahedral remeshing Of course, the mesh density for special problems can be manually set by users, and a local remeshing capability is available that requires user intervention during remeshing. Figure 11 shows some specially constructed mesh systems during automatic and manual simulations. Figure 12 - Precision simulation of a spiral bevel gear forging process 5 http://www.afdex.com Figures 13(a) and 13(b) show the edges generated in hot and cold forging, respectively. It should be emphasized that a detailed description of the workpiece geometry is a very important part of MFS if one is to obtain the sort of accurate results shown in Figure 13. The mesh system shown in Figure 13(b) describes the chamfered corner clearly and accurately with the limited number of tetrahedral elements. From the standpoint of applied mathematics, the BMFS problem is a typical boundary and/or initial value problem. When the finite element method is employed, the boundary conditions vary from time to time. It should be noted that remeshing inevitably causes changes in a boundary value problem (in particular, changes in the boundary conditions), which can cause varying degrees of solution inaccuracy. Therefore, intelligent BMFS technology should be assisted by a function that minimizes changes in boundary condition during remeshing. AFDEX 2D and AFDEX 3D always maintain the boundary conditions of the workpiece-die interface during automatic remeshing. Figure 14 shows the variations in the workpiece-die interface according to stroke, with emphasis on mesh quality along the boundary. By using this function, the disappearance of cavities enclosed by workpiece and dies can be traced in detail, which ensures solution accuracy. Moreover, solution accuracy and volume changes are greatly improved, and the function helps users to easily obtain valuable information, thanks to its compatibility with the workpiece geometry. Top (a) Hot forging Bottom (a) Top and bottom (b) Cold forging Figure 13 - Sensitivity of the predictions near the characteristic boundaries or edges (b) Front Figure 15 - Robustness of remeshing Robustness of mesh generation is essential to realizing a fully automatic simulation (without any user intervention). For engineering purposes, most users prefer to simulate their die designs without any simplifications. Some die and process designs can create very difficult problems for automatic mesh generation (e.g., very thin flashes and delicate, complicated die surfaces). Hence, robustness is one of the essential requirements to make an intelligent forging simulator adaptable to such situations. Experience has given us confidence in the robustness of the mesh generators adopted by AFDEX. Figure 15 illustrates the robustness of mesh generation in AFDEX 3D. Useful and User-friendly Functions Contact area Free surface Figure 14 - Mesh density control along the workpiece-die interface area An intelligent forging simulator should have the capability of automatically simulating a sequence of multi-stage forging processes to minimize the total simulation time, including both computational time and user processing time between stages. Figures 16 and 17 show predictions for an axisymmetric automatic five-stage cold forging process and a three-dimensional sevenstage compound hot metal forming process obtained using the automatic execution function of AFDEX 2D and AFDEX 3D, respectively. The predictions were obtained with only one return key operation. http://www.afdex.com 6 Stage 1 Stage 4 Stage 2 Stage 3 AFDEX 3D can read an AFDEX 2D results files either directly or by means of a simple connection program, and thus 2D and 3D combined simulations can easily be carried out. Of course, the 2D results can be viewed by the 3D post-processor with more powerful graphics functions. Figure 18 shows the predictions of a five-stage precision cold forging process involving one piercing stage and a final three-dimensional stage, obtained by using the 2D and 3D combined simulation capability with minimum user intervention (i.e., with only an initial run and one connection run). It should be noted that this capability is especially efficient for fastener forming process simulation. 2D and 3D combined simulation is strongly recommended for enhancing computational time, solution reliability, and engineering productivity when relatively few stages are three-dimensional. Stage 5 Figure 16 - Results obtained by automatic 2D simulation (a) Process design (a) Roll forging (b) Bending (c) Forging Figure 17 - Results obtained by automatic 3D simulation 0.91kg Non-optimized 0.82kg Optimized (b) Product design (a) 2D results Figure 19 - Metal flow lines in process and product design (b) 3D results Figure 18 - 2D and 3D combined simulation Figure 20 - Predictions of 3D metal flow lines 7 http://www.afdex.com Metal flow lines in metal formed products have great influence on their strength and thus they are the most important in process design. Even the externally sound products often have decisive internal defects due to bad metal flow lines. Therefore the consumers usually impose some constraints on the internal metal flow lines for most power transmission parts including gears, bearings and the like. As a consequence, precision prediction of metal flow lines and convenient visualization are important so much. AFDEX is powerful in this point as shown in Figure 19 and Figure 20, showing 2D and 3D metal flow lines formed in metal forming, respectively. Figure 21 - Flow stresses obtained from AFDEX DB AFDEX prov ides the material properties of almost all commercial materials, including steels and aluminums. Properties of some special alloy materials are also provided. Figure 21 shows typical flow stress information obtained from AFDEX DB. AFDEX DB also includes special functions for accommodating user input (for example, space for a machine database, frictional conditions, and the like). In the past, interest in BMFS technology was limited to a small number of experts in research or academia. Recently, however, BMF simulators have become essential even for small-sized companies, especially in Korea, that manufacture critical automotive parts. User friendliness is therefore of great importance, as many users are not proficient in the theory of plasticity or numerical approaches to mechanics, even though they are experts in the field of BMF process design. AFDEX provides the recommended initial default values for any process when users enter fundamental process information, such as problem type, number of stages, material type, machine type, die geometries, and the like. AFDEX also provides powerful computer graphics support, as shown in Figure 22. AFDEX can, of course, be linked to any CAD system via the DXF file format for 2D and the STL format for 3D. Ease of use is one of the essential requirements or an intelligent metal forming simulator. In developing AFDEX, we incorporated advice from related industries, and thus our pre- and post-processors are believed to be very user friendly. Experience convinces us that one or two days are sufficient for process design engineers to learn how to use the simulators if they are proficient at utilizing CAD software. A user manual is not essential, as AFDEX can be learned heuristically by interfacing with the pre- and post-processors. Of course, AFDEX provides various ways for specialized users to modify the default values or define professional constants. · Post-processor · Pre-processor Figure 22 - User friendliness of PRE/POST processors http://www.afdex.com 8 APPLICATIONS Typical applications Ring Rolling Extrusion Rolling (b) Fracture formation after the fracture point has been reached Figure 23 - Predictions of a tensile test Example 2: Enclosed die forging of a bevel gear Drawing Forging AFDEX was applied to various metal forming processes beginning 15 years ago: some of these applications are illustrated on the back cover. Most of the examples in the figure were studied during the early developmental stage of AFDEX, and their details can be found on the AFDEX website and in related literature. During its development, AFDEX was tested on examples drawn mostly from related industries, usually involving problems in process design and various considerations for process improvement. It is noteworthy that this lengthy and specialized development process involving close user-developer cooperation, has allowed us to incorporate valuable ideas and capabilities gleaned from many process design experts in the field, which in turn enable AFDEX to provide cutting-edge creative support to the current generation of users. Special Applications Enclosed die forging is a typical method for net-shape precision forging, and thus its simulation should be accomplished under very sophisticated process and simulator considerations. In a precision simulation of enclosed die forging, care must be taken to keep the numerical volume loss below the maximum allowable value to enable prediction of tiny under-filling regions. Figure 24 shows the prediction obtained for an enclosed die forging process for a bevel gear, with emphasis on the mesh quality around the teeth-die contact area. Contact area Free surface Example 1: Fracture in a tensile test Simulation of tensile tests is very important because application engineers or researchers can not only obtain insights or confidence in solution accuracy but can also understand the plastic or fracture behavior of the materials. Figure 23 shows our unique predictions for a tensile test for low carbon steel. The predictions exactly reflect the plastic behavior of the tensile test specimen (in the engineering sense) before reaching the fracture point, and the predicted fracture phenomena match the experimental results qualitatively. Figure 24 - Enclosed die forging process for a bevel gear Example 3: Roll forging Roll forging is a special metal forming process in which plastic deformation of the workpiece is caused by the motion of the threedimensional rolls. In a roll forging simulation, careful consideration should be given to workpiece handling. Figure 25 shows the prediction for a typical application. 12 Experiment Prediction 10 8 6 4 2 0 0 2 4 Elongation [mm] 6 8 (a) Comparison of engineering stress-strain curves with emphasis on fracture region Figure 25 - Roll forging process for an aluminum preform 9 http://www.afdex.com Example 4: Ring rolling Example 5: Radial forging From the simulation standpoint, ring rolling presents some distinctive characteristics, including a small contact region relative to workpiece size, large stroke, and geometrical identity. To cope with these features, a proper analysis model is essential, and some special functions should be developed specifically for ring rolling simulation. For example, we adopted hexahedral elements to enhance the solution accuracy and computational time at the expense of program generality. Figure 26 shows three typical applications of AFDEX HEXA/RING. Figure 26(a) illustrates a bearing race ring rolling process, Figure 26(b) a wind tower flange ring rolling process, and Figure 26(c) a profiled ring rolling process. Radial forging is an open die forging technology, and its simulation poses the most sophisticated problem among existing metal forming processes. In radial forging, cyclic motions of tools or dies and a carefully developed modeling capability for the manipulator should be supported. Automatic simulation of multistage processes and some special functions for manufacturing stepped or hollow shafts may also be of great importance in some applications. Figure 27(a) shows the predictions of a simple round rod radial forging process and Figure 27(b) the predictions for a profiled round rod radial forging process. Pass 1 Pass 3 Pass 2 Prediction (a) Bearing race Experiment (a) Simple round rod (b) Profiled round rod Figure 27 - Radial forging processes (b) Profiled ring Example 6: Roll piercing Roll piercing is a special rolling technology for manufacturing hollow shafts or pipes without any weld lines and is one of the more complicated metal forming processes. Of course, the piercing process itself generates numerous remeshings, which can lead to significant numerical volume change and adversely affect the solution accuracy. Hence, particular care must be taken to model the actual process in a roll piercing simulation. Also, a special updating scheme should be applied to minimize numerical volume loss while in updating the rotating workpiece and tools. Figure 28 shows a typical prediction for a roll piercing process. (c) Tower flange Figure 26 - Ring rolling processes Figure 28 Roll piercing process http://www.afdex.com 10 Example 7: Swaging Swaging is an incremental metal forming technology for manufacturing profiled pipes and long products with various shapes. In a swaging simulation, periodic description of tool movement and workpiece handling is of great importance, and minimization of artificial volume loss should be considered. In addition, special attention should be paid to modeling the workpiece feeding system to reflect the elastic response, especially when the inclined dies are pressing against the workpiece and pushing it backward especially in the early stage of forming. Figure 29 shows an example of a swaging process prediction. Figure 31 - Hollow cylinder axial lengthening process Example 9: Micro-forming or large-scaled workpiece forming A micro-formed part is a small mechanical part with more than two dimensions less than 1.0mm. In this instance, dimensional extremity may cause numerical errors or a somewhat greater volume change, leading to more or less deterioration in solution accuracy, as most simulators have been designed for conventional processes. The same difficulty arises in large-scale workpiece forming process. For these cases, AFDEX provides a user-defined unit system that can eliminate errors caused by too small or large dimensional magnitude. Figure 32 shows predictions obtained for a micro-forming process, together with experimental results for comparison. Figure 29 - Swaging process Example 8: Hollow cylinder diametrical expansion and axial lengthening Hollow cylinder diametrical expansion and axial lengthening process is one of open die forging technologies, a special incremental forming process which is aimed at increasing the diameter or length of a hollow cylinder. The tool is usually composed of a mandrel and a punch, and the workpiece is hung on the mandrel. The forming sequence consists of a forming stroke by the punch and consecutive workpiece rotation by the mandrel. Thus, a special function for rotating the workpiece according to the rotational motion of the mandrel should be supported to simulate this process. The process may be inherently subject to excessive numerical volume change during simulation due to the considerable amount of swaying or rotational motion. Accordingly, AFDEX has adopted a special updating scheme to reduce the artificial volume change while updating the solution step. Figure 30 and Figure 31 show the predictions obtained for a hollow cylinder diametrical expansion and axial lengthening process, respectively. Figure 32 - Micro-forming Example 10: Tube drawing with back pressing Drawing looks simple, but it is not easy, especially when the reduction of area is nearly critical. The most serious problem in a drawing simulation is artificial change in reduction of area due to numerical changes in the workpiece diameter at the entry or exit, which may be caused by both theoretical limits and numerical inaccuracies. This is especially important because reduction of area has a very strong influence on drawability. Thus, a precision simulation technique should be employed in this case. Stage 1 Stage 2 Stage 3 Figure 30 - Hollow cylinder diametrical expansion process (a) Three-stage pipe drawing 11 http://www.afdex.com Example 12: Extrusion with chevron cracks 1 Because of inferior process design and/or material, cold extrusion may be subject to the dangerous central bursting defect known as a chevron crack. Detailed simulation of chevron crack formation can help engineers to understand the material fractures that occur during metal forming. To predict the chevron crack, a proper damage model is necessary, which differs from material to material. Figure 35 is a typical chevron crack predicted by AFDEX. This prediction is believed to be quite similar to a real crack, especially as regards the shape of the crack. 1422 N 0.8 0.6 Upper_Die Lower_Die 0.4 = 30º R.A.=18 =0.03 0.2 = 30º R.A.=30 =0.03 1422 N 0 0 20 40 Stroke (mm) 60 80 (b) Forming load, back pressing force Figure 33 - Tube drawing process with back pressing AFDEX utilizes the artificial body force approach to handle back tension or pressing in drawing, the optimized step-size determination scheme to minimize the numerical volume change and the artificial bulge-removing scheme to eliminate numerical bulging resulting from the rigid-plasticity assumption. Figure 33(a) shows the predictions obtained for a three-stage tube drawing process. A plug is used in the third stage, and back pressing forces of 1422 N are exerted in both the second and third stages, which can be inferred from the forming load difference of the predictions in Figure 33(b). Example 11: Thread rolling Thread rolling simulation is an extreme case because it requires a great many remeshings of a geometrically complicated workpiece. Figure 34 shows the predictions obtained for a thread rolling process for manufacturing high strength flange bolts, together with experimental results. Global simulation over the entire domain (as shown in Figure 34(a)) is not economical in thread rolling, but local simulation for a sliced workpiece with endsymmetry conditions can sometimes provide much better results (in the engineering sense), as shown in Figure 34(b), which was obtained after 450 remeshings. Figure 35 - Chevron crack prediction in cold forward extrusion Example 13: Pore closing In open die forging, the initial cast materials usually have many pores, which can cause various problems during being metal formed or in their service. To simulate the pore closing phenomena, proper analysis models to reflect the real situations are necessary. Of course, the models should be assisted by powerful intelligent remeshing capabilities together with precision simulation capability because pore closing phenomena themselves are geometrically very complex. AFDEX can simulate the pore closing phenomena. Figure 36 shows the predictions of pore closing phenomena in upsetting and cogging or radial forging. (a) Upsetting (a) Entire model (b) Local model (b) Radial forging, cogging Figure 34 - Thread rolling Figure 36 - Pore closing prediction in upsetting and cogging http://www.afdex.com 12 Example 14: Plate forging Plate forging is characterized by the shape of the workpiece (i.e., the plate). Plate forging simulations are intermediate between sheet MFS and bulk MFS. Unfortunately, sheet MFS technologies are sometimes inappropriate for plate forging problems, as they cannot accurately handle plastic deformation in the thickness direction, which is of great importance, especially near the corners of the workpiece. Figures 37(a) and (b) show predictions for a cold plate forging process and a hot plate forging process, respectively, obtained via BMFS techniques. (b) Superplastic sheet metal forming Figure 38 - Sheet MFS Example 16: Roll forming (a) Cold plate forging Roll forming is a manufacturing technology for making ducts, stringers and the like using metal sheets. Usually so-called flower patterns can be simulated under the plane strain assumption. Figure 39(a) shows the predictions of deformation of the flower patterns employed in roll forming of an aircraft stringer. Figure 39(b) shows 3D non-steady state predictions of the deformation. (a) Flower pattern simulation (b) Hot plate forging Figure 37 - Plate forging Example 15: Sheet metal forming Sheet metal forming is characterized by the thinness of the workpiece. In most cases, the conventional sheet MFS provides valuable information. However, it is useful or inevitable to apply BMFS to some situations in which thickness variation is important. Figure 38(a) shows the predictions obtained for a common deep drawing process, and Figure 38(b) shows predictions for a superplastic forming process. (b) 3D non-steady state simulation Figure 39 - Roll forming simulation Example 17: Die structural analysis (a) Square cup deep drawing AFDEX provides two kinds of the die structural analysis modules linked directly to the metal forming simulators. The one is used for simple die structural analysis without any geometrical modification of the dies while the other is for detailed structural analysis of the dies which is stored in the output file after dies are modified geometrically and mechanically for the purpose of assigning preload due to shrink fit or adding or modifying shrink ring parts or other die mechanical parts. Figure 40 shows a typical 13 http://www.afdex.com [Unit:MPa] 700 application example. Figure 40(a) shows the predicted forging with effective strain and stress vector on the workpiece-die interface obtained under assumption of rigid dies and Figure 40(b) shows the corresponding effective stresses of the shrink fitted die. Figure 41 shows die effective stresses obtained by 3D die structural analysis. 622 544 467 389 311 233 156 78 0 Max:913 Min : 0 (b) Hot forging, die Figure 41 - 3D die structural analysis Example 18: Die fracture prediction Figure 42 reveals the reason for a die fracture near the region marked A occurring during ball-stud cold forging with a highstrength material ESW105 (see Figure 1). It seems that the circumferential stress near the marked region increases remarkably, which contrasts to the case when the special steel SCM435 is used, the maximum circumferential stress (-20MPa) remains in compression. The increase in the circumferential stress up to 870MPa in tension is believed to cause the longitudinal fracture of the brittle die material of tungsten-carbide as shown in Figure 42(a). (a) Process Punch A Shrink ring Die insert (a) Problem description (b) Die with shrink rings CL Figure 40 - 2D die structural analysis Effective stress: MPa 3800 3400 3000 2600 2200 1800 1400 1000 600 SCM435 2850MPa 871MPa 200 Effective stress: MPa 4000 3600 3200 2800 2400 2000 1600 1200 ESW125 (a) Cold forging, punch 800 400 (b) Effective stress (c) circumferential stress Figure 42 - Analysis of die fracture http://www.afdex.com 14 Collections of Recent Representative Simulations Figure 43 shows several typical AFDEX applications for the year 2008-2009, including an electric upsetting process, a open die forging process, a porthole extrusion process, a three-dimensional extrusion process, a cross wedge rolling process, a bearing race ring rolling process, a hammer forging process, a steering pinion (helical gear) extrusion process, a roll forging process, a thread rolling process, an arbitrary rolling process and spiral bevel gear and precision bevel gear forging processes. Figure 43 - Representative AFDEX applications for the year (2008-2009) Figure 44 also shows several typical AFDEX applications for the year 2009-2010, including a profile ring rolling process, a wind tower flange ring rolling process, a radial forging process, a superplastic sheet metal forming process, a hollow cylinder diametrical expansion and axial lengthening process, a sheet metal forming process, a swaging process, a spinning process, a pipe drawing process with back pressing, and a specially designed roll forming process for curved roll formed products. In addition to the examples mentioned above, AFDEX has been used for solving numerous problems in related industries, some of which can be found on the AFDEX Web site. Figure 44 - Representative AFDEX applications for the year (2009-2010)