Numerical and Experimental Study on Tooth Filling via near Net Shape Extrusion-Forging Process of Multicore Cable Cutter

The near net shape extrusion-forging and the impact of tooth lling computationally simulated and experimentally corroborated. The study plans to search for the nishing forging process's essential station and recognize the unique gear teeth forming in the closed die near net shape extrusion-forging connected with a multicore cable cutter. Due to make sure to realize the Preform types of gear teeth forming, The evaluation index of the height lling ratio (HFR) and the width lling ratio (WFR) methods are offered and simulated with a singular target on process parameters at the gear teeth making. All the objects are regularly investigated and precisely contrasted to experimental examination. The simulations' conclusions have explained the microscopic events after the experimental research. Via matching with experimental measurements, the accuracy of the numerical models has been conrmed. The offered modied geometries (Preform B and C) from the forming process have been eventually offered to achieve a resembling forming condition while lessening making charges.. The mean deviation of HFR was measured as 0.987% and 0.985% for Preform B and C, respectively. Moreover, the mean deviation of WFR was calculated as -0.693% and − 0.74% for Preform B and C, separately.


Introduction
The gear hot forging process was previously conducted to reduce the forging force, and the optimal design parameters were established to minimize its variation. [1] For example, hot Forging of Automobile Steel Gear Blanks has explored such that the compromises between contraction of the under ll dimension as well as the ash surplus material) was illustrated. [2] On the studied materials for gear forming, magnesium alloy AZ31B spur bevel gear Hot forging process was conducted, and compared the experimental load-stroke curves with the calculated ones. [3] In addition, investigation on bi-metal gear hot forging process with particular focus on metal ow and forming load and the results showed the relative ow of two metals and different ring thicknesses signi cantly in uence the structure of the bimetal gear [4]. Another deformation law during the dual directional hot forging of the steel-aluminum spur gear indicated the nal forging temperature of billet increases, and the forming load decreases with the increasing the forging speed. [5]One of the crucial pieces of research on gear tooth forming control of spiral bevel gear illustrated the effectiveness of enhancing the forging quality and decreasing the scrap rate of the forged spiral bevel gear. [6] Computer applications such as CAD/CAM/CAE, primarily based on FEM (Finite element method), are used to design, analyze, and optimize metal forming processes, including the forging process. Primarily it can be executed to various process and device design for the correct prediction of the deformation performance in a wide range of gear shapes and applications such as straight bevel gear [7], non-circular gears [8], Idle Gear [9], industrial locking gear [10], aircraft landing gear [11]. Furthermore, numerical analysis and experimental validation on the multi-stage warm forging process of deep groove ball bearing were investigated with microstructure and defect analysis [12]. The accuracy of the numerical models has been veri ed by comparing them with experimental measurements. Several novel process innovations had been proposed with a feasible formation process of precision gears. For example, hot forging-upsetting nishing-radial extrusion of conjunction gear [13]and, in particular, deformation mechanism of non-standard gear teeth forming in the hot impression forging of multicore cable cutter [14] showed a valuable advancement and valuable technological reference for the forging special gears connected with any geometry. Furthermore, A new "cold forging after quenching and tempering" (CFAQT) process was proposed with the bene t of shortening the process chain via avoiding subsequent heat treatment distortion and cost-reduction. [15] A new net shape extrusion-forging process is offered to apprehend the multicore cable cutter gear shape forming and supplant conventional investment casting. The nite element tool QForm was used to simulate the gear forming process. The net shape extrusion-forging parameters, especially at the joined net shape extrusion-forming of gear form, are regularly investigated. Further, the different forging preform geometry is offered to complete a resembling forming situation. The numerical simulations made to contrast the actual parameters and experimentally validated the justi ability.
Assembly Of Multicore Cable Cutter With Controlled Deformation

Multicore cable cutter with forged movable and xed blade
The applications of investigated multicore cable cutter researched in this article can be functionally speci ed with multicore cable cutter gear pro les of the movable blade (red rectangle) and xed blade (blue rectangle), which was made of AISI-1040 steel as presented in Fig. 1. Two gears drive the actuated device of the multicore cable cutter to drive the teeth on the movable blade forward-the portion formed by the movable blade and the xed blade gradually reduced to achieve the shearing effect. The gear pushes the teeth on the movable blade with a plurality of latching teeth so that the pushing force on the latching teeth can spread. This makes latching teeth not easy to damage, and the service life of the cable cutter can be extended. The multicore cable cutter gear has many functions due to its customized multicore cable cutter, including 1.Rapidly release mechanism allows the blade to be quickly reset 2.Constant velocity ratchet mechanism is used to reduce the strength of manual cutting 3.Manual locking mechanism makes it safer to use.

De ciencies investigation of investment casting
A precision casting process makes the traditional cable cutter. However, due to the difference in geometrical thickness of the product (aspect ratio > 100), it is easy to cause defects such as pore cracking. It will result in the product's poor mechanical properties, and the entire processing process takes a long time, and the production cost is high. The related dewaxing will cause many defects, as shown in Fig. 2(a), and the defect microstructure will be observed in Fig. 2(b) -2(d). As shown in Fig. 2(b), there are many different size hole defects and cracks in the red region. This is the pore cracking caused by dewaxing casting, as shown in Fig. 2(c). Furthermore, Fig. 2(d) shows that the blue region has a defect of 3mm. The crack has been produced when the dewaxing is completed and will not be affected by the production's advancement to increase the number of cracks.
The actual process of precision toothed cable clamp and precision hand tool forging tooth is mainly precision casting. The dewaxing process will cause many defects, mainly in the form of pores. It also has a signi cant impact on subsequent heat treatment and related mechanical cutting processes. After surface polishing and bottom milling 2mm (to eliminate the ash and show the cutting edge), the workpiece is shown in Fig. 3(a). Even after the surface polishing and bottom milling, the workpiece still has defects in the blue region and red region, as shown in Fig. 3(b). The defect microstructure can be observed by electron microscopy, as shown in Fig. 3(c) -3(d). They have 4mm defects and 3.5mm defects in the blue region and redregion,respectively.
The instrument construction used for the last forging processes and production stages of the adjustable blade's near net shape extrusion-forging process was shown in Fig. 4. The die of gear tooth forging the adjustable blade and comparing it with the numerical model was shown in Fig. 4(a). Besides, Fig. 4(b) compares the attening forging die with the numerical model. The forging dies were built by a collaborative company and tted on a 350kN hydraulic testing device. At the near net shape extrusionforging process of the multicore cable cutter gear, the forming dies were heated up to 200 ± 20℃ in advance, and the high-temperature lubrication was water-based graphite lubricant. The billet was heated up to 1000 ± 10℃ forging to the adjustable blade by forging dies. The experimentally forged commodities are matched with the simulation analysis outcomes to con rm the precision and workability. Figure 4(c) -4(d) shows a matching of the experimental and simulated outcomes.  compares the attening forging die with the numerical model. In order to construct a dimensional model, SolidWorks software was being used. Design factors including forming shape, pattern sketch, inside and outside llet, forming tolerance, nish allowance, Etc. That needs to be considered for the forging design. Furthermore, according to the forging shape, the forming die was designed.. Figure 5(c) shows the numerical (left) and experimental (right) outcomes of the laser cutting preform of a xed blade.
Numerical simulation was performed by using the commercial FE code, QForm. QForm forging process simulation analysis software covers almost the forging process of metal volume forming. Comparing the experimental results and simulation results of nish forging is shown in Fig. 5(d), which shows a striking resemblance both in geometrical material lling and the ash location. The ash part reveals the actual positions, while the three protrusions marked the positions for knock-out areas. The carbon steel S45C and JIS SKD61 die steel is used for all the workpiece and near net shape extrusion-forging dies, respectively.
In this study, three different preforms for the forging workpieces were proposed, as shown in Fig. 6. Three different preforms of multicore cable cutter gear with Preform A of extrusion process (a), Preform B with the initial gear tooth of 2mm thick on forging workpiece (b), and Preform C without gear tooth on forging workpiece (c). Besides, numerical simulation improves and optimizes mold design by simulating issues that happen during the forming process. Preform A is the traditional forging perform as shown in Fig. 6(a). It can be seen that the gear tooth is extruded from the forging workpiece. Preform B is the novel extrusion-forging teeth perform with the gear tooth on forging workpiece as shown in Fig. 6(b). Finally, the preform C forging method is the same as preform B, but there is no gear tooth on the forging workpiece, as shown in Fig. 6(c).
The forming load results in the different preforms illustrated in Fig. 7. The differences in the forging loads are apparent under the three different forging preforms. It can be observed that Preform A has the most considerable forging load, and the maximum forging load is up to 6.06MN. The forming loads of Preform B and Preform C are 4.05 and 3.97, respectively. Preform A's forming load is much greater than the other two preforms compared with Preform B and C. Therefore, Preform A's design is not included in the followup discussion. The differences in the simulation analysis of Preform B and C will be discussed behind. Finally, a preform that is best suited for the manufacture of gear tooth will be selected.
Preforms B and C reached a nal deformation state of 100% stroke during simulated forging, as shown in Fig. 8(a). Two different preforms can be observed, all of which can simulate a complete tooth pro le. In Fig. 8(b), the effective stress distribution simulation of the Preform B precision-machined forged workpiece reaches 120 MPa or more, and the maximum stress reaches about 300 MPa. Preform C's effective stress distribution is simulated to reach 100 MPa or more, and the maximum stress is about 280 MPa. When the deformation process is completed, the maximum strain of Preform B reaches about 11, and the maximum strain of Preform C reaches about 9.5, as shown in Fig. 8(c). As the above mold progresses, the plastic deformation of the gear teeth (especially the burr area) increases, and since the metal ow resistance in the complex tooth pro le is considerable, effective strain accumulates in the gear tooth cavity. During the forging stages, both Preform B and C plastically deformed in the gear corner's vicinity such that the maximum deformation occurs in the ash region of the bottom die. After forging, the workpiece temperature increases with increasing pressure, the maximum temperature for Preform B was up to 1100 ° C, and the maximum temperature for Preform C was up to 1080 ° C, as shown in Fig.   8(d). The workpiece's surface temperature is signi cantly reduced due to the heat transfer from the lubricant between the workpiece and the mold. Finally, it can be found that the maximum value of stress, strain, and temperature, the Preform C is slightly lower than the Preform B, but there is not much difference in the simulated distribution.
The schematic diagram on the tooth dies (Preform B and Preform C) shows in Fig. 9. Figure 9(b)shows the differences in effective stress for forging processes between Preform B and C. In terms of the stress values, the tooth die requires the maximum force during the forging process. Nevertheless, the maximum effective stress of the two performs similarly, which is more than 1600 MPa. It is because of the high metal ow resistance on this part. Therefore, there is a severe deformation in this area. Figure 10(a) shows the distributions of the forging temperature of Preform B and C. The workpieces' temperature was increased by Local large deformation. Furthermore, the high temperature will reduce the service life of tooth die. At Fig. 10(a), the maximum average temperature of Preform B is 513.05°C higher than Preform C (the maximum average temperature is about 506.9°C). From these results, Preform B and C's temperatures are roughly the same, which means both preforms have a similar deformation mechanism while the Preform C can be relatively obtainable through the delicate blanking process.
The displacement vector distributions for Preform B and C was displayed in Fig. 10(b). At the gear's summit of the workpiece's displacement vector is evident, which indicates the ash-forming procedure is the last forging moment. The tooth's maximum displacement vector of Preform B is 0.1416 mm, shown in Fig. 10(b), and the ash area's velocity is similar. Likewise, the maximum vector of Preform C is 0.1546 mm. In Fig. 10(b), the average displacement vector of tooth both Preforms B and C is similar, which means there is just a slight deformation at the workpiece's gear. Hence, Preform C was chosen for the near net shaped extrusion-forging process of adjustable gear device because the company will save more expense about laser cutting procedures for Preform B at the initial gear protrusion.
The evaluation index of forming and the resultant of forming quality can be used as the objective functions, particularly in the gear forming section. Figure 11(a) shows the Schematic region on the forging workpiece and schematic location on the gear tooth. The evaluation index of the height lling ratio (HFR) and the width lling ratio (WFR) of the formed gear on preform B and preform C has shown in (2) The width lling ratio lling ratio . W s is the width of lling section of the workpiece; W g is the the designed width of gear toothed die.
The HFR and WFR analysis outcomes explain in Fig. 11(B) and Fig. 11(C). The ideal height lling ratio of tooth top of experimental gear blade is Hg ( from 6.3 to 6 mm ), the maximum minus-deviation for Preform B and C is -0.02%, the mean deviation for Preform B is 0.987%, the mean deviation for Preform C is 0.985%. On the other hand, the width lling ratio of tooth top of experimental gear blade is Wg (from 1.25 to 1 mm), the highest minus-deviation is -0.19%, and the mean deviation is -0.693% for Preform B, and the highest minus-deviation is -0.17%. The mean deviation is -0.74% for Preform C. That implies the mean deviation of both HFR and WFR for Preform B and C is essentially identical.
Due to understand the microstructure's forging and the change of the forging line, the workpiece was cut by an electric discharge machining (EDM) wire cutter, and it was cut along the region A ~ F as shown in Fig. 12(a). The workpiece was ground and polished, corroded by the corrosive liquid mixed with 0.7% picric acid and 9.3% alcohol. The corrosion time is controlled to be about 15 ~ 20 seconds. After the corrosion, the surface is rinsed with water and dried to observe the metallographic microstructure and forge a line on the forging surface. Figure 12(b) shows the results of the forging line after simulation.
Comparing the actual situation with the simulation results, the two are almost identical, especially in the E and F regions, and it is more evidence that they are similar. No forging line wrinkles were observed in the experiment, and the forging line was continuously continuous in the area where the forging was severely changed, which indicates that the forging process has a good design.
Lastly, An optical micrograph (OM) was used to research the forged product's microstructure analysis. A schematic picture of the forged gear tooth is shown in Fig. 13 (a). The OM micrograph of region I, region II and region III is shown in Fig. 13

Conclusion
This article numerically analyzes 3D FEM of near net shape extrusion-forging. Simulation data for the forming process design, including forming load, effective plastic strain/stress distribution, and temperature conditions. The following outcomes can be summarized: 1. Three different preforms of multicore cable cutter gear for the forging workpieces were proposed. The forming load results show the maximum forming load of Preform A is up to 6.06MN, and the forming loads of Preform B and Preform C are 4.05 and 3.97, respectively. Therefore, in this study, the differences in the simulation analysis of Preform B and C were discussed to select the best suited for the manufacture of the gear tooth. 2. Three improved preform are proposed in this study. The simulation outcomes show the maximum stress for Preform B and C are 300 MPa and 280 MPa, respectively. Preform B's maximum strain reaches about 11, and the maximum strain of Preform C reaches about 9.5. The maximum temperature for Preform B was up to 1100 ° C, and the maximum temperature for Preform C was up to 1080 ° C. 3. The evaluation index of the height lling ratio (HFR) and the width lling ratio (WFR) of Preform B and C is proposed and simulated to explain the results of forming quality. The mean deviation of HFR was calculated as 0.987% and 0.985% for Preform B and C, respectively. The mean deviation of WFR was calculated as -0.693% and − 0.74% for Preform B and C, respectively. That means the mean deviation of both HFR and WFR for Preform B and C is almost experimentally identical in term of material lling. 4. According to the OM microstructure analysis, the grain radius of region I, region II and region III were measured separately. Furthermore, the results were calculated by MATLAB as 14.63, 9.78, and 12.71µm, individually. 5. Finally, it can be found from compared Preform B and C that the maximum value of stress, strain, and temperature, the Preform C is slightly lower than the Preform B, but there is not much difference in the simulated distribution.

Declarations Ethical approval
Since the study is performed at a relevant lab, there is no need for ethical approval. Additionally, the paper's main data is not published elsewhere.
Consent to participate Figures Figure 1 Structure of the multicore cable cutter gear and it compose of movable blade (red rectangle) and xed blade (blue rectangle). Scale bar: 5cm