Development of a servo-hydraulic system with a self-tuning fuzzy PID controller to simulate injection molding process

Chen, Chien Jung; Wu, Kuo Tsai; Hwang, Sheng-Jye

doi:10.1007/s00542-018-4171-0

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…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.…”

Section: Discussionmentioning

confidence: 99%

Injection Molding Process Control of Servo–Hydraulic System

Lin

Shen

et al. 2019

Applied Sciences

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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.

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Section: Discussionmentioning

confidence: 99%

Injection Molding Process Control of Servo–Hydraulic System

Lin

Shen

et al. 2019

Applied Sciences

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“…In brief, a PID controller makes use of the error to adjust the output to obtain the set variables. Researchers have achieved control of mold temperature [176], servohydraulic systems [177], and the stability of product quality [143] using PID controllers.…”

Section: Proportional-integral-derivative (Pid) Controllermentioning

confidence: 99%

Intelligent Injection Molding on Sensing, Optimization, and Control

Zhao

Zhang

Dong

et al. 2020

Advances in Polymer Technology

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Injection molding is one of the most significant material processing methods for mass production of plastic products. It is widely used in various industry sectors, and its products are ubiquitous in our daily life. The settings and optimization of the injection molding process dictate the geometric precision and mechanical properties of the final products. Therefore, sensing, optimization, and control of the injection molding process have a crucial influence on product quality and have become an active research field with abundant literature. This paper defines the concept of intelligent injection molding as the integral application of these three procedures—sensing, optimization, and control. This paper reviews recent studies on methods for the detection of relevant physical variables, optimization of process parameters, and control strategies of machine variables in the molding process. Finally, conclusions are drawn to discuss future research directions and technologies, as well as algorithms worthy of being explored and developed.

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“…The study also refers to some literature on the hardware specifications of the injection-molding machine to construct an adaptive control system. Chen et al [ 21 ] mentioned that using a high sampling rate controller can make the servo-hydraulic system more stable. Lin et al [ 22 ] used a servo-hydraulic system to investigate the performance (response time) 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).…”

Section: Introductionmentioning

confidence: 99%

Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force

Liou

Cheng

et al. 2023

Polymers

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The injection-molding process is a non-linear process, and the product quality and long-term production stability are affected by several factors. To stabilize the product quality effected by these factors, this research establishes a standard process parameter setup procedure and an adaptive process control system based on the data collected by a nozzle pressure sensor and a tie-bar strain gauge to achieve this goal. In this research, process parameters such as the V/P switchover point, injection velocity, packing pressure, and clamping force are sequentially optimized based on the characteristics of the pressure profile. After the optimization process, this research defines the standard quality characteristics through the optimized process parameters and combines it with the adaptive process control system in order to achieve the purpose of automatic adjustment of the machine and maintain high-quality production. Finally, three different viscosity materials are used to verify the effectiveness of the optimization procedure and the adaptive process control system. With the system, the variation of product weight was reduced to 0.106%, 0.092%, and 0.079%, respectively.

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Development of a servo-hydraulic system with a self-tuning fuzzy PID controller to simulate injection molding process

Cited by 9 publications

References 7 publications

Injection Molding Process Control of Servo–Hydraulic System

Injection Molding Process Control of Servo–Hydraulic System

Intelligent Injection Molding on Sensing, Optimization, and Control

Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force

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