Article
Engineering, Chemical
Rodolfo Gabriel Pabst, Adriano Fagali de Souza, Alexandro Garro Brito, Carlos Henrique Ahrens
Summary: This study proposes a new approach based on SARIMAX models to predict temperature and pressure variations inside an injection mold. Experimental results demonstrate the efficiency and accuracy of the proposed model, showing its potential application in an Industry 4.0 environment.
POLYMER ENGINEERING AND SCIENCE
(2022)
Article
Engineering, Industrial
Peng Zhao, Kaipeng Ji, Jianfeng Zhang, Yuhong Chen, Zhengyang Dong, Jianguo Zheng, Jianzhong Fu
Summary: An ultrasonic method for in-situ measurement of melt temperature during injection molding is proposed in this study. The method shows advantages of low measurement errors and good consistency with results from an infrared fiber optic temperature sensor.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2021)
Article
Polymer Science
Jackeline Iturbe-Ek, Alan O. Sustaita, Diego Aguilar-Viches, Jose Manuel Mata-Padilla, Carlos A. Avila-Orta, Luis E. Elizalde, Alex Elias-Zuniga, Luis Marcelo Lozano
Summary: Product miniaturization is a constant trend in industries, and ultrasonic micro injection molding (UMIM) technology has emerged as a polymer processing technique capable of achieving mass production of polymeric parts with micro-features while maintaining replicability, repeatability, and high precision. Variations in parameters such as ultrasound amplitude and processing time during UMIM process significantly modify the molecular structure of the polymer, with processing time being a more relevant factor for chain scission. The presence of polymorphism within samples produced by UMIM and some degree of chain orientation are also demonstrated.
Article
Polymer Science
Jinsu Gim, Byungohk Rhee
Summary: The study proposed an analysis methodology to examine the effect of cavity pressure profile on part quality. Using a neural network for interpretation and process state points as input features, it clarified the influence of cavity pressure profile on part weight. The methodology can be used to set target points and bounds for monitoring, and optimize the injection-molding process through feature contributions.
Article
Automation & Control Systems
Bo-Wei Wang, Shih-Chih Nian, Ming-Shyan Huang
Summary: This study assessed the difference in pressure curves between simulations and real molding, and developed a method to decrease the difference and improve the quality prediction capacity of simulations.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Polymer Science
Quan Wang, Xiaomei Zhao, Jianpeng Zhang, Ping Zhang, Xinwei Wang, Chaofeng Yang, Jinrong Wang, Zhenghuan Wu
Summary: It was found that later V/P switchover allowed for longer injection process and heavier specimens, while the area under the pressure curve appeared to be a better process indicator than peak cavity pressure.
Article
Computer Science, Artificial Intelligence
Shengrui Yu, Tianfeng Zhang, Yun Zhang, Zhigao Huang, Huang Gao, Wen Han, Lih-Sheng Turng, Huamin Zhou
Summary: This paper proposes a case-based-reasoning method based on molding features, which simplifies the high-dimensional molding features to pressure profiles at the injection location with two-dimensional data. It aims to overcome the problem of failure in the reasoning process caused by only considering the geometric features of molds in the existing methods.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Engineering, Manufacturing
Momchil Vasilev, Charles MacLeod, Walter Galbraith, Yashar Javadi, Euan Foster, Gordon Dobie, Gareth Pierce, Anthony Gachagan
Summary: Welding is crucial in modern world, especially in safety critical welds of thin sheet metals. By deploying non-contact ultrasonic sensors during welding, it is possible to screen and detect weld seams in real-time, leading to higher production rates and quality.
JOURNAL OF MANUFACTURING PROCESSES
(2021)
Article
Polymer Science
Shia-Chung Chen, Che-Wei Chang, Chia-Yen Tseng, En-Nien Shen, Ching-Te Feng
Summary: This study demonstrates the successful control of foaming cell size and uniformity in size distribution in microcellular injection molding of polystyrene (PS). A preliminary study in the molding of elastomer thermoplastic polyurethanes (TPU) using the P-T path also shows promising results.
Review
Chemistry, Physical
Mateusz Czepiel, Magdalena Bankosz, Agnieszka Sobczak-Kupiec
Summary: Injection molding is a commonly used method to manufacture plastic products of specific shape and size. The technology has gained importance over the years and is now used in various industries. This review provides information on recent research in the field of modern injection molding techniques.
Article
Materials Science, Multidisciplinary
Morteza Tabatabaeipour, Konstantinos Tzaferis, Ross McMillan, William Jackson, Gordon Dobie, Rachel S. Edwards, Oksana Trushkevych, Anthony Gachagan
Summary: This paper investigates the instantaneous phase characteristics of shear horizontal guided waves and explores the feasibility of estimating the minimum remaining wall thickness using Gaussian process regression. The research shows that the model built by integrating large-scale simulated and low-scale experimental data has high accuracy in wall thickness gauging.
MATERIALS & DESIGN
(2022)
Article
Polymer Science
Hsi-Hsun Tsai, Shao-Jung Wu, Jia-Wei Liu, Sin-He Chen, Jui-Jung Lin
Summary: This study proposes an approach to eliminate imbalanced filling of multi-cavity molds for PVC injection molding, successfully reducing the imbalance by optimizing the injection rate. The molded PVC fittings have only slightly increased temperatures, which are below the degradation temperature of PVC.
Article
Chemistry, Analytical
Richard Dominik Parizs, Daniel Torok, Tatyana Ageyeva, Jozsef Gabor Kovacs
Summary: The study investigates the feasibility of using in-mold pressure sensors to control the injection molding process in multi-cavity molds. Several experiments were conducted to optimize the clamping force, switchover, or holding time using pressure measurements. The results show that pressure curves and integral values can determine optimal clamping force and that in-channel sensors are effective for pressure-controlled SWOP.
Article
Polymer Science
Ming-Hong Tsai, Jia-Chen Fan-Jiang, Guan-Yan Liou, Feng-Jung Cheng, Sheng-Jye Hwang, Hsin-Shu Peng, Hsiao-Yeh Chu
Summary: This research developed an adaptive control system for injection molding process to maintain the consistency of product quality by minimizing the mass variation of injection molded parts. The system uses two sensors to collect information and employs a back propagation neural network to compute weight and bias.
Article
Materials Science, Multidisciplinary
Vito Speranza, Sara Liparoti, Roberto Pantani
Summary: The injection molding process is widely used in the production of polymer parts, offering advantages of short processing times and high dimensional accuracy. However, there is limited research on predicting morphology development during the process. This study proposes a two-step approach to predict fibril formation in polypropylene, taking into account temperature and flow fields.
MACROMOLECULAR MATERIALS AND ENGINEERING
(2022)
Article
Polymer Science
Zhengyang Dong, Peng Zhao, Jianguo Zheng, Kaipeng Ji, Yuhong Chen, Jianzhong Fu
Summary: The proposed IGAO method utilizes batch information for self-learning without establishing a large number of experimental models, with fast convergence, 25% fewer steps, good stability, and is suitable for parameter optimization in batch processes.
JOURNAL OF APPLIED POLYMER SCIENCE
(2021)
Article
Materials Science, Characterization & Testing
Peng Zhao, Yuhan Jia, Jun Xie, Tingyu Wang, Chenqian Zhang, Jianzhong Fu
Summary: A novel MagLev device using magnet arrays is proposed to replace the whole permanent magnet, providing a promising method for levitation of large-scale samples. The simulation results can obtain the equation between density and levitation height, showcasing the potential for accurate measurement of various polymer densities.
Article
Engineering, Electrical & Electronic
Xuechun Zhang, Hao Hu, Daofan Tang, Chengqian Zhang, Jianzhong Fu, Peng Zhao
Summary: A flexible tactile sensor based on the magnetic field was proposed in this study, which can linearly detect both force and position and perform quick tests in variable patterns. By introducing folding magnetization technology, higher magnetic flux density can be achieved and different sensor designs can be implemented.
SENSORS AND ACTUATORS A-PHYSICAL
(2021)
Article
Polymer Science
Ruoxiang Gao, Jun Xie, Jinghui Yang, Chaojie Zhuo, Jianzhong Fu, Peng Zhao
Summary: By conducting single factor experiments, the impact of raster angle and infill density on PEEK parts was determined, while orthogonal experiments were used to analyze the effects of printing speed, nozzle temperature, and other parameters. Through optimization, significant reductions in warpage deformation and improvements in tensile strength were achieved, supporting the development of FDM for PEEK.
Review
Chemistry, Multidisciplinary
Chenxin Lyu, Peng Zhao, Jun Xie, Shuyuan Dong, Jiawei Liu, Chengchen Rao, Jianzhong Fu
Summary: Nanofibrous membrane, especially those fabricated by electrospinning, is considered as an effective filter medium for particulate matter in air purification. These membranes exhibit good PM2.5 filtration performance and multi-functions, making them suitable for various applications against PM2.5 pollution.
Article
Engineering, Environmental
Chengqian Zhang, Daofan Tang, Mingyi Cao, Fu Gu, Xiangyu Cai, Xuetao Liu, Zhaoyu Cheng, Philip Hall, Jianzhong Fu, Peng Zhao
Summary: The MagLev configuration proposed in this study can separate substances with specific densities over 5.00 g/cm(3), showing great potential in heavy metal recycling by effectively separating different metal materials with high recovery rates and purities.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Materials Science, Composites
Ruoxiang Gao, Hao Chen, Zhezai Hu, Xuewen Cheng, Shiquan Gao, Shaohua Zhou, Peng Zhao
Summary: This study presents a novel method for predicting product strength by analyzing weld line and fiber orientation in injection molding, and successfully applies it to the gate design of an aerospace product. The results indicate that this method has great potential for mold design, product structure design, and process optimization.
POLYMER COMPOSITES
(2022)
Article
Materials Science, Multidisciplinary
Jinghui Yang, Jun Xie, Kaipeng Ji, Xianghong Wang, Xiaolong Jiao, Zhinong Xu, Peng Zhao
Summary: Microcellular PEEK with a weight reduction of 49.6% was prepared by mold-opening microcellular injection molding (MOMIM). Incremental holding time and holding pressure could increase PEEK's density and promote the formation of dense cells, improving mechanical properties.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Engineering, Electrical & Electronic
Junye Huang, Peng Zhao, Chengqian Zhang, Jun Xie, Neng Xia, Jianzhong Fu
Summary: This article proposes a method to analyze the diamagnetic forces sustained by levitated pyrolytic graphite (PG) in order to investigate the mechanism of stable levitation. By dividing the PG disk into multiple regions, the resultant diamagnetic force can be determined, and the relationship between the size of the magnet and the disk and its ability of stable levitation is clarified.
IEEE TRANSACTIONS ON MAGNETICS
(2022)
Article
Engineering, Multidisciplinary
Chaojie Zhuo, Kaipeng Ji, Jun Xie, Xuewen Cheng, Xiaolong Jiao, Sheng Ye, Jianzhong Fu, Peng Zhao
Summary: This study proposes a non-intrusive ultrasonic measurement method based on minimum entropy blind deconvolution for measuring tie-bar stress in molding equipment. The results show that the method has high precision and low relative error. Compared to traditional methods, this approach does not require human intervention and helps achieve automation in stress measurement.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Mathematics, Applied
Kaipeng Ji, Peng Zhao, Xiaowei Zhou, Yuhong Chen, Zhengyang Dong, Jianguo Zheng, Jianzhong Fu, Huamin Zhou
Summary: This paper proposes a novel initialization method, UPPSO, for particle swarm optimization (PSO), which improves optimization performance by uniformly distributing particle positions and velocities in the response space. When applied to parameter estimation, UPPSO outperforms other algorithms in obtaining optimal parameters and exhibits competitive computational performance.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Polymer Science
Xuemei Li, Fan Liu, Jun Xie, Chengqian Zhang, Ruoxiang Gao, Chenxin Lyu, Peng Zhao
Summary: This study aims to reduce the metallic impurities of parts and improve the wet processes environment. The impurities distribution of injection molds was examined, showing even distribution. The influence of process parameters on metallic contamination was investigated through orthogonal experiment, with injection rate having the greatest impact. By optimizing the process, the smallest metallic contamination of 1.077 μg/m² for PFA pipe joints was achieved, reducing by 56.3% compared with previous results. This research suggests that adjusting parameters is a feasible and effective method to reduce contamination during injection molding, providing another idea for improving cleanliness in chip manufacturing.
JOURNAL OF APPLIED POLYMER SCIENCE
(2023)
Article
Materials Science, Multidisciplinary
Zhengchuan Guo, Jun Xie, Chengqian Zhang, Ying Zheng, Liang Jin, Jinghui Yang, Peng Zhao
Summary: In this study, a post-treatment method was applied to enhance the tensile strength of PEEK fibers, generating up to a 69% increase. Optical measurements, uniaxial tensile tests, differential scanning calorimetry, and two-dimensional-wide angle X-ray diffraction were used to quantitatively investigate the effects of post-treatment process parameters on the diameter shrinkage ratio, mechanical properties, and aggregated state structure of PEEK fibers. The findings revealed that the improved fiber orientation, resulting from increased post-treatment temperature and constant tensile force, was the main factor contributing to the significant increase in uniaxial tensile strength. Moreover, mathematical models were developed to describe the linear relationship between the diameter shrinkage ratio and post-treatment temperature, as well as the uniaxial tensile strength and constant tensile force. These insights offer valuable guidance for enhancing the strength and controlling the morphology and mechanical properties of PEEK fibers during production.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Materials Science, Multidisciplinary
Zhengchuan Guo, Jun Xie, Jinghui Yang, Jianzhong Fu, Peng Zhao
Summary: Polyether ether ketone (PEEK), a high-performance polymer, is widely used as an ideal metal replacement. This study introduces a rapid mold temperature rising technology based on induction heating, which effectively meets the requirements of rapid temperature increase and maintenance for PEEK injection molding. The experimental results show that compared to traditional electric heating, the induction heating method significantly improves the surface quality and mechanical properties of PEEK products, and it also shows adaptability to longer holding times for micro-open microporous injection molding, expanding the possibilities for developing higher performance PEEK foam products.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Review
Optics
M. Munzer Alseed, Sajjad Rahmani Dabbagh, Peng Zhao, Oguzhan Ozcan, Savas Tasoglu
Summary: Magnetic levitation is a density-based technique that suspends objects using magnetic and gravitational forces. Recent advancements in portable smartphone-based MagLev setups have enabled applications in microparticle sorting, disease diagnosis, and other fields, making the technology more accessible and user-friendly.
ADVANCED OPTICAL TECHNOLOGIES
(2021)
