Ultrasonic measurement of clamping force for injection molding machine

Zhao, Peng; Zhao, Yao; Zhang, Jianfeng; Huang, Junye; Xia, Neng; Fu, Jianzhong

doi:10.1515/polyeng-2018-0268

Cited by 8 publications

(3 citation statements)

References 33 publications

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“…Huang et al confirmed that a proper setting of the clamping force is essential to enhance the quality and consistency of injection molded parts [39]. Zhao et al developed a methodology based on ultrasonic technology to in situ detect clamping force [40,41], and the advantages are simple, practical, and nondestructive. In summary, current injection molding quality estimation methods generally exploit the signals obtained from pressure sensors located in or near the molding cavity.…”

Section: Literature Reviewmentioning

confidence: 99%

Quality Indexes Design for Online Monitoring Polymer Injection Molding

Chen

Tseng²,

Huang³

2019

Advances in Polymer Technology

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Quality control is a crucial issue in the injection molding process with target of obtaining a high yield rate and reducing production cost. Consequently, effective methods for monitoring the injection conditions (e.g., pressure, velocity, and temperature) in real-time and adjusting these conditions adaptively as required to ensure a consistent part quality are essential. This study proposes a quality index based on the clamping force increment during the injection cycle, as determined by four strain gauges attached to the tie bars of the injection molding machine. Also, various quality indexes for online quality monitoring and prediction purposes based on the pressure, viscosity, and energy features extracted from the pressure profiles obtained at the load cell, nozzle, and molding cavity, respectively, are compared. The feasibility of the proposed quality indexes is investigated experimentally for various settings of the barrel temperature, back pressure, and rotational speed of the plasticizing screw. It is shown that all of the quality indexes are correlated with the injection-molded quality and hence provide a feasible basis for the realization of an on-line quality monitoring and control system. Particularly, the tie-bar elongation quality index requires no modification or invasion of the injection molding system or cavity and hence provides a particularly attractive solution for monitoring and controlling the part quality.

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Section: Literature Reviewmentioning

confidence: 99%

Quality Indexes Design for Online Monitoring Polymer Injection Molding

Chen

Tseng²,

Huang³

2019

Advances in Polymer Technology

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“…Our research group proposed an ultrasonic methodology to measure cavity pressure during the injection molding process via the Gaussian process [9,52]. Recently, we employed an ultrasonic method to measure the stress on the tie bars of an injection molding machine, therefore monitoring the service situation of the machine [53,54]. We also established a physical model to estimate the correlation between the cavity pressure and stress on the tie bars and as such achieved an indirect measurement of the cavity pressure via the stress on the tie bars [55].…”

Section: Ultrasound Ultrasound Waves Are Mechanical Wavesmentioning

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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“…Our group [15][16][17][18] established the mathematical model between the ultrasonic time difference (UTD) and the tiebar stress based on acoustoelastic theory. The stress can be obtained indirectly by calculating the ultrasonic time difference.…”

Section: Introductionmentioning

confidence: 99%

Non-intrusive ultrasonic measurement of tie-bar stress for molding equipment

Zhuo¹,

Ji²,

Xie³

et al. 2022

Meas. Sci. Technol.

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For molding equipment, the accurate measurement of tie-bar stress helps improve product quality and prolong the lifespan of the machine. In our previous work, the mathematical model between the ultrasonic time difference (UTD) and the tie-bar stress was established, and this model was shown to have high accuracy with the maximum of difference square being only 1.5678 (MPa)2. Nevertheless, when calculating the ultrasonic time difference using the cross-correlation function (CCF) method, it is necessary to manually divide the position of the echoes. This makes it impossible to automate the stress measurement and it is incompetent when dealing with massive data. In this paper, a non-intrusive (N-I) ultrasonic measurement method for tie-bar stress based on the minimum entropy blind deconvolution is firstly proposed. The results of simulation and verification experiments show that the proposed method has high precision, and the maximum relative error is only 2.4392%. Hence this method has been successfully applied in the tie-bar stress measurement in molding equipment. Compared with the CCF method, the accuracy is improved and the maximum relative error is reduced from 3.67% to 1.68% when the clamping force is small. In summary, the proposed method is comparable to the CCF method in accuracy, and has a higher resolution during echos disturbance. Moreover, this approach does not require human intervention and is helpful to realize the automation of the tie-bar stress measurement for the molding equipment.

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Ultrasonic measurement of clamping force for injection molding machine

Cited by 8 publications

References 33 publications

Quality Indexes Design for Online Monitoring Polymer Injection Molding

Quality Indexes Design for Online Monitoring Polymer Injection Molding

Intelligent Injection Molding on Sensing, Optimization, and Control

Non-intrusive ultrasonic measurement of tie-bar stress for molding equipment

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