Next Article in Journal
A New Method of Low Amplitude Signal Detection and Its Application in Acoustic Emission
Next Article in Special Issue
Implementation of an Obstacle Recognition System for the Blind
Previous Article in Journal
swHPFM: Refactoring and Optimizing the Structured Grid Fluid Mechanical Algorithm on the Sunway TaihuLight Supercomputer
Previous Article in Special Issue
Urban Air Quality Analysis and Forecast Based on Intelligent Algorithm with Parameter Optimization and Decision Rules
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Injection Molding Process Control of Servo–Hydraulic System

1
Department of Mechanical Engineering, National Cheng Kung University, Tainan 70101, Taiwan
2
Department of Engineering Science, National Cheng Kung University, Tainan 70101, Taiwan
*
Author to whom correspondence should be addressed.
Current address: No. 1, University Road, Tainan 70101, Taiwan.
Appl. Sci. 2020, 10(1), 71; https://doi.org/10.3390/app10010071
Submission received: 31 October 2019 / Revised: 29 November 2019 / Accepted: 15 December 2019 / Published: 20 December 2019
(This article belongs to the Special Issue Intelligent System Innovation)

Abstract

:
The present study constructs a servo–hydraulic system to simulate the filling and packing processes of an injection molding machine. Experiments are performed to evaluate the velocity and position control of the system in the filling stage and the pressure control in the packing stage. The results demonstrate that the proposed system meets the required performance standards when operated with the proportional-integral–derivative (PID) controller under a sampling frequency of 1000 Hz.

1. Introduction

Servo–hydraulic systems have many advantages for injection molding machines, including high precision, low noise, a low operating temperature, and good repeatability [1,2,3]. Furthermore, compared with traditional hydraulic systems, servo–hydraulic systems have the potential to achieve energy savings of up to 70%, or more [4,5]. However, to achieve this energy-saving potential, the servo–hydraulic system must first be carefully designed and optimized.
Of all the parameters involved in the injection molding process, the injection velocity and packing pressure are two of the most important ones in determining the quality of the molded part. The injection velocity refers to the speed at which the screw moves in the forward direction during the cavity filling stage, while the packing pressure refers to the pressure applied to the molten resin in the cavity as it cools and solidifies to form the final component. However, even when the injection velocity and packing pressure are properly controlled, the accuracy with which the injection cycle transits from the constant-velocity (V) filling the stage to the constant-pressure (P) packing stage plays a critical role in ensuring a correct and consistent quality of the molded component [6,7]. Many approaches have been proposed for controlling the V–P switchover point, including pressure switch, time switch and position switch. In the position control method, V–P switchover is initiated automatically as soon as the screw displacement reaches a certain predetermined value [8,9,10]. Among all the methods available, the position control method is one of the most commonly used since, the same amount of resin is injected into the mold in each shot, and hence the consistency of the molded part quality is guaranteed [11].
Previous studies have reported that moving the screw backward through a short distance when reaching the V–P transition point is beneficial in decreasing the pressure at the screw front and hence in preventing overflow or part warpage [12]. Kamiguchi et al. [13] had illustrated how the pull-back motion work, yet the discussion including the distance and performances of pull-back motion have been omitted. Particularly, pulling the screw back too far runs the risk of trapping air bubbles in the mold, while moving the screw back too little risks not reaching the pressure reduction function. Hence, the pull-back distance must be carefully controlled to ensure that the molded components satisfy the required quality standard.
The present study designs and constructs a servo–hydraulic system to simulate the filling and packing stages of an injection molding machine. A proportional-integral–derivative (PID) controller is additionally designed to control the V–P switchover point using the position control method. Experiments were performed to investigate the performance of the proposed system in terms of its speed control (filling process), pressure control (packing process) and V–P switchover point control (V–P transition). In general, the results confirm the feasibility of the proposed servo–hydraulic system for injection molding applications given an appropriate setting of the sampling frequency (1000 Hz).

2. Materials and Methods

2.1. Experimental System

Figure 1 and Figure 2 presents a schematic illustration of the experimental system constructed in the present study. The micro control unit, as known as MCU, is produced by ICP DAS company with 1 kHz sampling rate, seven channels to install analog I/O, digital I/O modules. The driver which had a 20-bits resolution encoder is produced by the DELTA company. The servo motor is a permanent-magnetic motor produced by DELTA company, and its power is 5.5 kW with a maximum motor speed of 3000 rpm. The power source in the experiment system was a piston pump from the YEOSHE company with the highest pump speed is 2750 rpm. Additionally, the continuous working pressure and displacement of the pump were respectively 350 bar and 16 cc/rev. More details of main components’ specifications are listed in Table 1.
The servo proportional valve is a key component in the proposed system, which changes the opening size according to the input voltage. The valve is produced by Parker, which has a maximum flow rate of 90 L/min, receives a diagnostic signal from +10 V to −10 V and the frequency response of 350 Hz. Servo valves operate with very high accuracy, very high repeatability and very high-frequency response, even so, the servo proportional valve has acceptable performance and lower cost for industrial usage. A nitrogen gas spring was installed in the experiment. When the screw moved forward, it encountered a resistance force, which was the role that the spring plays. This loading experiment system was applied to simulate the situation between the injection and the packing stage. This nitrogen gas spring is produced by NITROGAS company. The maximum compression stroke is 125 mm and its maximum working pressure is 150 bar.

2.2. Control Strategy

It is well known that the PID controller has been widely accepted for controlling the industrial system.
Figure 3 shows the control strategy developed in the present study to control the servo–hydraulic system in the constant velocity and constant pressure modes. In the filling (constant velocity) stage, the controller takes the feedback signal provided by a flow meter as the input and adjusts the servo-motor speed in accordance with a prescribed control law such that the velocity remains at the required value. Once the hydraulic stage reaches the target switchover position, the controller reduces the voltage output in order to reduce the motor speed and enters the pressure control stage. Subsequently, the controller maintains a constant pressure by advancing the hydraulic stage slowly in accordance with the signals received from a pressure transducer and torque sensor.
Figure 4 indicates how the servo proportional valve acts in the experiment. The servo proportional valve is set to fully open in the initial from node P to B (see Figure 1) by applying the voltage −10 V. Once the position of the hydraulic cylinder reached to the first target position, set the opening size to 0.5% (applied the voltage of −0.05 V). Next, switch the node P to A (applied the voltage of 0.25 V to the valve) in order to perform the pull-back motion.

2.3. Experimental Performance Indicators and Targets

The maximum overshoot was defined as the difference between the maximum recorded pressure value and the target pressure value. Meanwhile, the response time was defined as the time taken for the cylinder to move backward to the second target position having first reached the V–P switchover position. Finally, the standard deviation (RMSD) of the pressure was defined as the magnitude of the pressure variation between the system pressure and the target pressure under steady-state conditions.
The target values are based on industrial demands. In performing the experiments, the target value for the maximum overshoot of the pressure at the hydraulic cylinder was set as less than 5 bar, the overshoot of the cylinder position as less than 1 mm, the response time as less than 3 s, the RMSD of the cylinder position as less than 0.5 mm, the RMSD of the pressure as less than 1 bar, and the average speed of the motor when entering steady-state conditions as less than 50 rpm (Figure 5 and Table 2).

2.4. Multi-Target Positions, Single Target Speed, and Single Target Pressure Control Experiments

The multi-target positions, single target speed, and single target pressure control experiments are performed to investigate the performance of the proposed system in terms of its speed control, pressure control and V–P switchover point control.
Parameters in the experiment are defined as:
  • Response time: as the definition in the previous section.
  • Position: the position of the cylinder away from the B side.
  • Pressure_1: the pressure value at the pump outlet.
  • Pressure_2: the pressure value at the hydraulic cylinder.
In order to examine the performance of the proposed system under different position sections, flow velocities and sampling frequencies, experiment sets are list below:
  • Sampling frequency: 500 Hz
    When the hydraulic cylinder reached the target V–P switchover position in the velocity-control mode, it was pulled back through a distance of 2 mm, and the system then switched to the pressure-control mode to execute the packing stage. Note that the pull-back distance (2 mm) was set as the minimum value possible under a sampling frequency of 500 Hz. The corresponding experimental targets are shown in Table 3 for V–P switchover positions (35mm, 50 mm and 65 mm).
  • Sampling frequency: 1000 Hz
    The experimental procedure was the same as that described above and shown in Table 4, with the exception that the pull-back distance was set as 1 mm (i.e., the minimum attainable distance under a sampling frequency of 1000 Hz).
Note that the entry 50 mm → 48 mm–80 mm/s–110 bar in the following section indicates that the cylinder is displaced through a distance of 50 mm at a speed of 80 mm/s and is then pulled back through a distance of 2 mm to 48 mm. The system then switches to the packing stage with a constant packing pressure of 110 bar.

3. Results

Results of Multi-Target Positions, Single Target Speed, and Single Target Pressure Control Experiments

The results demonstrate that the behavior of the injection molding process is successfully simulated, as the case 65 mm → 63 mm–80 mm/s–120 bar, 500 Hz (Figure 6) shown below. In addition, it is important to look into the following typical phenomenon in the results:
A severe pressure drop at pressure 1 can be observed around the time at 1.75 s, which is the point of the V–P transition (Figure 6b,c). A slope change of pressure 1 and pressure 2 from 0.5 s to 1.75 s shows the effect of the spring resistance. Caused by the pull-back motion, pressure 1 occurs a pressure drop after the V–P transition, note that it indicates the pressure at the outlet of the pump which is not a concern. However, pressure 2 performs steadily even during the pull-back motion, which meets the expected results (Figure 6d).
Figure 7 shows the velocity control results under different experiment sets. It can be seen that the flow velocity holds around 50 mm/s for about 0.3 s, however, the velocity in Figure 7b,c (Target velocity higher than 50 mm/s) case dropped almost immediately once it reached the target flow velocity. Additionally, the flow velocity rose up after the V–P transition in order to compensate for the effect on pressure due to the pull-pack motion, and then enter the steady-state. A similar effect occurs at the results of the motor speed (Figure 8), the speed reversed after the V–P transition, then leaped up to hold the target pressure.
Figure 9 demonstrates the results of the multi-positions control, the red lines stand for the second target position. The slope indicates the moving forward speed of the hydraulic cylinder, which is positively correlated with the target velocity (Figure 9a,b). The maximum overshoot of the position occurs right before the V–P transition, then the position holds at the second target position steadily.
Comparison of the results are list below in Table 5, Table 6, Table 7, Table 8, Table 9 and Table 10, with the value out of standards colored. The results of response time performed well under all the circumstance, moreover, the response time decreases as the velocity increases. RMSD of the position sometimes exceeded the preset value under 500 Hz, on the contrary, the results were qualified under 1000 Hz. The pressure at the cylinder (pressure 2) was challenged to meet the target with 500 Hz under all the experiment sets. In contrast, overshoot and RMSD were successfully controlled at the sampling frequency of 1000 Hz.

4. Discussion

Observing the experimental results presented in Table 5, Table 6, Table 7, Table 8, Table 9 and Table 10, as the target position increases from 35 mm to 65 mm, the response time increases but still meet the standard. At the sampling frequency of 500 Hz, pressure at the front of the cylinder sometimes exceeds the preset value. However, all the targets are satisfied under the sampling frequency of 1000 Hz. Moreover, the response time under 500 Hz is a lot greater under 1000 Hz, especially at high target pressure. The response time is crucial for the pull-back motion since the long response time has a risk of affecting the following process. When applying a higher target velocity, the PID controller requires larger gain parameters (K p , K i , and K d ) to achieve expected performances. However, the PID controller occurs integral windup as the limitation of the system, the motor driver will finally end up with servo off which be incapable of performing pressure control.
Due to the analog feedback signal noise of the position transducer, the minimum distance of the pull-back motion is tested and turns out to be 2 mm under a sampling rate of 500 Hz and 1 mm under 1000 Hz. Consequently, the sampling frequency does have an impact on the accuracy of the position control. Also, applying a filter or a proper signal process may improve the precision of the position control. By the way, the pull-back motion is controlled by the open direction of the servo proportional valve. Input a positive voltage to the valve causes the hydraulic cylinder moving backward, since the back pressure in the system, the pull-back speed, and distance depends on the opening size of the servo proportional valve and the PID parameters. The experiment results indicate that the PID parameters have little effect on the backward speed of the cylinder, and the pull-back motion is dominated by the opening size of the servo proportional valve (Figure 4).
Though the results are satisfying, there is space for improvement: Injection molding machines in industrial using can have the injection speed much higher than the target speed (80 mm/s) in the present study. Due to the limitation of the hydraulic cylinder stroke (170 mm in the study), the velocity control stage lasts for too short which the cylinder reaches the target position almost simultaneously when the speed reaches target value (Figure 6b). To solve the problem, it could be necessary to run the experiments with an injection molding machine. However, experiments with an injection molding machine could be more complicated since the temperature of the polymer melt and material used for the experiment needs to be taken into account.

5. Conclusions

This study has constructed a servo–hydraulic system to simulate the main processes of an injection molding machine. The experimental results support the following main conclusions.
  • The proposed PID controller successfully detects the designed V–P switchover point and switches from the constant-velocity mode to a constant-pressure mode accordingly with the servo proportional valve. The opening size of the valve should be carefully designed to accomplish the pull-back motion.
  • The response time and the pressure overshoot at the cylinder rise as the target pressure increases. In the study of Chen et al. [14], performances of the PID controller and self-tuning fuzzy PID controller have been compared. By introducing the self-tuning fuzzy PID controller in the system can improve the response time, pressure RMSD and pressure overshoot.
  • When the sampling frequency is set as 1000 Hz, the system achieves all of the displacement, velocity, and pressure performance targets with the exception of the maximum overshoot of the pump outlet pressure in performing V–P switchover.
  • In practical applications, the optimal pull-back distance of the cylinder prior to the packing stage depends not only on machine performance but also on polymer resin properties, and quality requirements of the product, etc. In general, the position control accuracy of servo–hydraulic systems depends on the sampling rate. For the system developed in the present study, a pull-back distance of 1 mm can be achieved using a sampling frequency of 1000 Hz.

Author Contributions

Conceptualization, S.-J.H.; data curation, C.-Y.L.; formal analysis, C.-Y.L. and F.-C.S.; funding acquisition, S.-J.H.; investigation, C.-Y.L. and F.-C.S.; methodology, K.-T.W.; project administration, K.-T.W., H.-H.L. and S.-J.H.; Software, K.-T.W.; supervision, S.-J.H.; validation, H.-H.L.; writing—original draft, F.-C.S.; writing—review and editing, H.-H.L. These authors contributed equally to this work. All authors have read and agreed to the published version of the manuscript.

Funding

Funding of this project is from the Metal Industries Research & Development Centre (MIRDC) and SYNTEC company.

Acknowledgments

The authors would like to thank the Metal Industries Research & Development Centre (MIRDC) and SYNTEC for funding this project.

Conflicts of Interest

To the best of our knowledge, the named authors have no conflict of interest, financial or otherwise.

References

  1. Chen, P.C. Study on the Response Time for a Super High Speed Servo-Hydraulic System and Components. Master’s Thesis, Chung Yuan Christian University, Taoyuan City, Taiwan, 2003. [Google Scholar]
  2. Chiang, M.H.; Chen, C.C.; Kuo, C.F.J. The high response and high efficiency velocity control of a hydraulic injection molding machine using a variable rotational speed electro-hydraulic pump-controlled system. Int. J. Adv. Manuf. Technol. 2009, 43, 841–851. [Google Scholar] [CrossRef]
  3. Long, Q. Current State, Problems and the Innovative Solution of Electro-hydraulic Technology of Pump Controlled Cylinde. Chin. J. Mech. Eng. 2008, 44, 87–92. [Google Scholar]
  4. Tseng, C.J. Modulized Real-time Control Technology for Injection Molding Machines. Ph.D. Thesis, National Sun Yat-sen University, Kaohsiung, Taiwan, 2000. [Google Scholar]
  5. Lin, S.L. Injection Molding of Plastic; Publishing House of Mechanical Technology: Taipei, Taiwan, 1990. [Google Scholar]
  6. Tsai, C.C.; Kao, H.E.; Hsieh, S.M.; Lin, S.C. Modeling and Gain-scheduling PI Injection Velocity Control of an Ultra-high-speed Plastic Injection Molding Machine. J. Technol. 2006, 21, 317–328. [Google Scholar]
  7. Cheng, P.C. A Study of High Precision Servo Position Control of Hydraulic System under Low Speed. Master’s Thesis, National Cheng Kung University, Tainan, Taiwan, 2003. [Google Scholar]
  8. Lai, J.Y.; Chen, Y.R. Adaptive flow rate control of a hydraulic proportional valve. JSME Int. J. 1992, 35, 582–590. [Google Scholar] [CrossRef]
  9. Yang, Y.; Gao, F. Adaptive control of the filling velocity of thermoplastics injection molding. Control Eng. Pract. 2000, 8, 1285–1296. [Google Scholar] [CrossRef]
  10. Bader, C.; Greco, L. Process for Determining the Changeover Point When Producing Plastic Injection Mouldings and Die-Castings. U.S. Patent 5,665,283, 9 September 1997. [Google Scholar]
  11. Chen, Y.S.; Wu, K.T.; Tsai, M.H.; Hwang, S.J.; Lee, H.H.; Peng, H.S.; Chu, H.Y. Adaptive process control of the changeover point for injection molding process. J. Low Freq. Noise Vib. Active Control 2019. [Google Scholar] [CrossRef] [Green Version]
  12. Schiffers, I.R. Adaptive process control for stabilizing the production process in injection moulding machines. In Proceedings of the 10th International Fluid Power Conference (10. IFK), Dresden, Germany, 8–10 March 2016. [Google Scholar]
  13. Kamiguchi, M.; Umemoto, H. Suckback Method and Apparatus in an Injection Molding Machine. U.S. Patent 4,812,268, 14 March 1989. [Google Scholar]
  14. Chen, C.J.; Wu, K.T.; Hwang, S.J. Development of a servo-hydraulic system with a self-tuning fuzzy PID controller to simulate injection molding process. In Microsystem Technologies; Springer: Berlin/Heidelberg, Germany, 2018; pp. 1–22. [Google Scholar]
Figure 1. Experimental system.
Figure 1. Experimental system.
Applsci 10 00071 g001
Figure 2. The outfit of the experimental system.
Figure 2. The outfit of the experimental system.
Applsci 10 00071 g002
Figure 3. Flowchart of proposed control strategy.
Figure 3. Flowchart of proposed control strategy.
Applsci 10 00071 g003
Figure 4. Voltage input to the servo proportional valve during the control sequence.
Figure 4. Voltage input to the servo proportional valve during the control sequence.
Applsci 10 00071 g004
Figure 5. Illustration of the experimental performance indicators.
Figure 5. Illustration of the experimental performance indicators.
Applsci 10 00071 g005
Figure 6. Experiment results for the case 65 mm → 63 mm–80 mm/s–120 bar with, (a) position, (b) velocity, (c) pressure 1 and (d) pressure 2.
Figure 6. Experiment results for the case 65 mm → 63 mm–80 mm/s–120 bar with, (a) position, (b) velocity, (c) pressure 1 and (d) pressure 2.
Applsci 10 00071 g006
Figure 7. Comparison of velocity control results under different conditions.
Figure 7. Comparison of velocity control results under different conditions.
Applsci 10 00071 g007
Figure 8. Motor speed results under different conditions.
Figure 8. Motor speed results under different conditions.
Applsci 10 00071 g008
Figure 9. Comparison of position control results under different flow velocities.
Figure 9. Comparison of position control results under different flow velocities.
Applsci 10 00071 g009
Table 1. Main components’ specifications of the experiement system.
Table 1. Main components’ specifications of the experiement system.
ComponentsSpecifications
Hydraulic cylinderDiameter: 100 mm
Max. of stroke: 170 mm
Max. working pressure: 140 bar
Servo proportional valveMax. flow rate: 90 L/min
Max. working pressure: 350 bar
Step response: 3.5 ms
Micro control unitOS: Linux kernel 2.6.33
Position transducerResolution (Analog): 12 bit
Table 2. Target values of the performance indicators.
Table 2. Target values of the performance indicators.
Performance IndicatorsTargets
Pressure at the hydraulic cylinderMax. overshoot less than 5 bar
RMSD less than 1 bar
Cylinder positionMax. overshoot less than 1 mm
RMSD less than 0.5 mm
Response timeless than 3 s
Average speed of the motorless than 50 rpm
Table 3. Experiment sets under a sampling frequency of 500 Hz.
Table 3. Experiment sets under a sampling frequency of 500 Hz.
Target Position (mm)Target Velocity (mm/s)Target Pressure (bar)
35 →   3350–80100
50 →   4850–80110
65 →   6350–80120
Table 4. Experiment sets under a sampling frequency of 1000 Hz.
Table 4. Experiment sets under a sampling frequency of 1000 Hz.
Target Position (mm)Target Velocity (mm/s)Target Pressure (bar)
35 →   3450–80100
50 →   4950–80110
65 →   6450–80120
Table 5. The 35 mm →  33 mm–100 bar, 500 Hz.
Table 5. The 35 mm →  33 mm–100 bar, 500 Hz.
Velocity (mm/s)Response Time (s)Position (mm)Pressure 1 (bar)Pressure 2 (bar)Motor Speed (rpm)
OvershootRMSDOvershootRMSDOvershootRMSD
501.640.170.128.290.854.820.5539.7
601.60.10.2638.230.84.870.6340.85
701.550.140.1652.950.774.80.9538.71
801.450.60.2970.70.854.70.3438.28
Table 6. 35 mm →  34 mm–100 bar, 1000 Hz.
Table 6. 35 mm →  34 mm–100 bar, 1000 Hz.
Velocity (mm/s)Response Time (s)Position (mm)Pressure 1 (bar)Pressure 2 (bar)Motor Speed (rpm)
OvershootRMSDOvershootRMSDOvershootRMSD
501.390.150.275.220.694.60.4845.7
601.210.230.137.190.74.90.3643.85
701.180.430.1410.040.953.790.8148.71
801.080.590.1614.760.843.70.5645.28
Table 7. 50 mm →  48 mm–110 bar, 500 Hz.
Table 7. 50 mm →  48 mm–110 bar, 500 Hz.
Velocity (mm/s)Response Time (s)Position (mm)Pressure 1 (bar)Pressure 2 (bar)Motor Speed (rpm)
OvershootRMSDOvershootRMSDOvershooRMSD
501.990.180.126.30.824.80.4941.52
601.890.50.438.260.785.90.7742.69
701.850.240.1550.950.755.560.4642.91
801.80.70.5960.380.834.910.2843.79
Table 8. 50 mm →  49 mm–110 bar, 1000 Hz.
Table 8. 50 mm →  49 mm–110 bar, 1000 Hz.
Velocity (mm/s)Response Time (s)Position (mm)Pressure 1 (bar)Pressure 2 (bar)Motor Speed (rpm)
OvershootRMSDOvershootRMSDOvershootRMSD
501.60.310.119.790.654.80.343.52
601.450.630.2812.280.644.20.542.69
701.240.530.2819.130.694.950.4145.91
801.190.50.2626.40.614.80.646.79
Table 9. 65 mm →  63 mm–120 bar, 500 Hz.
Table 9. 65 mm →  63 mm–120 bar, 500 Hz.
Velocity (mm/s)Response Time (s)Position (mm)Pressure 1 (bar)Pressure 2 (bar)Motor Speed (rpm)
OvershootRMSDOvershootRMSDOvershootRMSD
503.130.150.29.210.656.00.7247.58
602.750.250.1514.210.837.30.4848.38
702.650.30.5417.70.757.350.4949.05
802.450.220.2121.790.956.990.4549.86
Table 10. 65 mm →  64 mm–120 bar, 1000 Hz.
Table 10. 65 mm →  64 mm–120 bar, 1000 Hz.
Velocity (mm/s)Response Time (s)Position (mm)Pressure 1 (bar)Pressure 2 (bar)Motor Speed (rpm)
OvershootRMSDOvershootRMSDOvershootRMSD
502.150.260.147.870.834.20.8546.58
601.780.30.3311.360.924.20.7846.38
701.630.090.3115.940.884.80.7947.05
801.560.330.2120.010.854.930.6547.86

Share and Cite

MDPI and ACS Style

Lin, C.-Y.; Shen, F.-C.; Wu, K.-T.; Lee, H.-H.; Hwang, S.-J. Injection Molding Process Control of Servo–Hydraulic System. Appl. Sci. 2020, 10, 71. https://doi.org/10.3390/app10010071

AMA Style

Lin C-Y, Shen F-C, Wu K-T, Lee H-H, Hwang S-J. Injection Molding Process Control of Servo–Hydraulic System. Applied Sciences. 2020; 10(1):71. https://doi.org/10.3390/app10010071

Chicago/Turabian Style

Lin, Chun-Ying, Fang-Cheng Shen, Kuo-Tsai Wu, Huei-Huang Lee, and Sheng-Jye Hwang. 2020. "Injection Molding Process Control of Servo–Hydraulic System" Applied Sciences 10, no. 1: 71. https://doi.org/10.3390/app10010071

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop