The Experts below are selected from a list of 46659 Experts worldwide ranked by ideXlab platform
S. Che - One of the best experts on this subject based on the ideXlab platform.
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IMPOS: A Method and System for Injection Molding Optimization
2006 1ST IEEE Conference on Industrial Electronics and Applications, 2006Co-Authors: L. Gong, S. CheAbstract:CAE techniques have, in recent years, become increasingly popular in plastic Injection Molding. However, in most practices, either Molding parameters are not optimized or the optimization techniques are too complex to use. In this paper we discuss a fully automatic approach of integrated Injection Molding parameter optimization and simulation (IMPOS) to plastic Injection Molding problems. A working system has been developed. The experimental testing results with the system have demonstrated the efficacy of the method for handling quality problems in plastic Injection Molding such as warpage. In this method, a genetic algorithm is developed and integrated with an Injection Molding simulation system to achieve both parameter optimization and full automation of the process
Ali Abbasian - One of the best experts on this subject based on the ideXlab platform.
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Energy monitoring of plastic Injection Molding process running with hydraulic Injection Molding machines
Journal of Cleaner Production, 2017Co-Authors: Hanieh Mianehrow, Ali AbbasianAbstract:With respect to the importance of energy consumption reduction in industrial plants, an attempt has been made to specify the most important parameters affecting energy consumption of plastic Injection Molding process as one of the most energy intensive processes in plastics industry. In this regard, the specific energy consumption of six hydraulic Injection Molding machines and the profile of their energy consumption over one cycle of Injection Molding process were measured to assess the effect of different machine related and process related parameters on energy consumption and realize energy saving opportunities in the Injection Molding process. Results showed that among all quantitative parameters, throughput and total cycle time, which are process related parameters, have the most important impact on the specific energy consumption of the process. Whereas, the most important effect of machine related parameters were found to be on the peak power of energy consumption, which gives an insight to industrial plants how to reduce the maximum electrical demand of the plant. In addition, it was proved that each hydraulic Injection Molding machine has a unique profile of energy consumption depending on the design of the machine and process, and then according to these profiles, three types of process designs were identified.
Shih-jung Liu - One of the best experts on this subject based on the ideXlab platform.
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Injection Molding in polymer matrix composites
Manufacturing Techniques for Polymer Matrix Composites (PMCs), 2014Co-Authors: Shih-jung LiuAbstract:Abstract: This chapter is intended to provide some general introduction regarding the Injection Molding process and the Molding of fiber filled polymers. Some new Injection Molding techniques are introduced. Rheological properties of compounds are given. Characterization and prediction of fiber orientation in molded parts are also discussed. Commonly used fiber filled polymer compound and their properties are addressed. Molding faults and possible corrections are provided. Finally the future trend for Injection Molding is discussed.
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Water Assisted Injection Molding: A Review
International Polymer Processing, 2009Co-Authors: Shih-jung LiuAbstract:Abstract Water assisted Injection Molding technology has become one of the most important methods to manufacture hollow plastic parts in recent years, due to its light weight, relatively lower resin cost per part and faster cycle time. This report aims to present a review of the development and progress of the water assisted Injection Molding technology. The tooling used for the process is introduced. The interaction between the assisting water and the polymer melt during Molding is discussed, and insight into the penetration behaviors of the fluid is summarized. In addition, comparisons have been made between the gas-assisted Injection Molding and water assisted Injection Molding processes.
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Novel three-dimensional in-cavity transient temperature measurements in Injection Molding and fluid-assisted Injection Molding
Polymer Testing, 2009Co-Authors: Shih-jung LiuAbstract:Abstract This report presents novel experimental set-ups which allow the measurement of three-dimensional temperature fields in the depths of Injection Molding cavities throughout Molding cycles. Two specific molds equipped with two types of temperature measuring devices, i.e., a mesh type device consisting of thermocouples mounted on metal wires and a tubular type device consisting of tubular needles guiding embedded micro-thermocouples inside the cavities, have been designed and built. Temperature distributions in both Injection Molding and fluid assisted Injection Molding processes, including gas and water assisted Injection Molding, were measured and recorded by a data acquisition system on a personal computer. It was found that the tubular type device induced much less flow disturbance and provided accurate temperature profiles. Among the processes, the water assisted Injection Molding process required the least time to cool the parts, followed by gas assisted Injection Molding and conventional Injection Molding. In addition, the experimental results also suggested that the shear heating by viscous dissipation in the runners leads to a significant increase in melt temperature. A precise measurement of the in-depth temperature profile can be helpful to better understand the Molding phenomena, to validate numerical simulation results, as well as to optimize the parameters for the Molding processes.
L. Gong - One of the best experts on this subject based on the ideXlab platform.
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IMPOS: A Method and System for Injection Molding Optimization
2006 1ST IEEE Conference on Industrial Electronics and Applications, 2006Co-Authors: L. Gong, S. CheAbstract:CAE techniques have, in recent years, become increasingly popular in plastic Injection Molding. However, in most practices, either Molding parameters are not optimized or the optimization techniques are too complex to use. In this paper we discuss a fully automatic approach of integrated Injection Molding parameter optimization and simulation (IMPOS) to plastic Injection Molding problems. A working system has been developed. The experimental testing results with the system have demonstrated the efficacy of the method for handling quality problems in plastic Injection Molding such as warpage. In this method, a genetic algorithm is developed and integrated with an Injection Molding simulation system to achieve both parameter optimization and full automation of the process
Hanieh Mianehrow - One of the best experts on this subject based on the ideXlab platform.
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Energy monitoring of plastic Injection Molding process running with hydraulic Injection Molding machines
Journal of Cleaner Production, 2017Co-Authors: Hanieh Mianehrow, Ali AbbasianAbstract:With respect to the importance of energy consumption reduction in industrial plants, an attempt has been made to specify the most important parameters affecting energy consumption of plastic Injection Molding process as one of the most energy intensive processes in plastics industry. In this regard, the specific energy consumption of six hydraulic Injection Molding machines and the profile of their energy consumption over one cycle of Injection Molding process were measured to assess the effect of different machine related and process related parameters on energy consumption and realize energy saving opportunities in the Injection Molding process. Results showed that among all quantitative parameters, throughput and total cycle time, which are process related parameters, have the most important impact on the specific energy consumption of the process. Whereas, the most important effect of machine related parameters were found to be on the peak power of energy consumption, which gives an insight to industrial plants how to reduce the maximum electrical demand of the plant. In addition, it was proved that each hydraulic Injection Molding machine has a unique profile of energy consumption depending on the design of the machine and process, and then according to these profiles, three types of process designs were identified.