Application of UV-LIGA technology to machining micro-injection mold cavity of cell culture device

2013 ◽  
Vol 21 (5) ◽  
pp. 1228-1233 ◽  
Author(s):  
马雅丽 MA Ya-li ◽  
刘文开 LIU Wen-kai ◽  
刘冲 LIU Chong ◽  
杜立群 DU Li-qun
Keyword(s):  
Cell Culture ◽  
Mold Cavity ◽  
Injection Mold ◽  
Liga Technology

Coated Composite Crosstie Mold Structure Design Used for Experiment with Inventor, Moldflow and Ansys

2013 ◽  
Vol 561 ◽  
pp. 196-200
Author(s):  
Yu Guang Gong ◽  
Zhi Wen Zong ◽  
Ying Yu ◽  
Bai Yuan Lv
Keyword(s):  
Simulation Analysis ◽  
Displacement Vector ◽  
Processing Parameters ◽  
Structure Design ◽  
Mold Cavity ◽  
Von Mises Stress ◽  
Process Conditions ◽  
Injection Mold ◽  
Injection Process ◽  
Von Mises

Coated crosstie products and counter mold components are created in 3-D model using Inventor software, preparing for CAE analysis. By using Moldflow software , to determine products gate location, filling, packing, cooling, push-out processing, as well as the injection process conditions optimization of simulation analysis to find possible defects, modify and optimize the design, determine the best processing parameters and conditions. Binding using Ansys11.0 software to analyze rail sleeper mold cavity deformation, structure stress, get distribution of property of von Mises stress and displacement vector sum, in the mold cavity on the contact surface. By changing the cavity wall thickness, and other factors to improve the force which it is subjected, providing references to structure optimization of injection mold design. It has been proven that in collaborative application of these three softwares, the design of the injection mold is a very efficient and easy.

Structural Optimization of a Dual-Sensing Module for Temperature and Pressure Measurement in Injection Mold Cavity

2007 ◽  
Author(s):  
Zhaoyan Fan ◽  
M. Haris Hamid ◽  
Robert X. Gao ◽  
Stephen Johnston ◽  
David Kazmer
Keyword(s):  
Interaction Analysis ◽  
Polymer Melt ◽  
Mold Cavity ◽  
Injection Molding Process ◽  
Optimized Design ◽  
Injection Mold ◽  
Molding Process ◽  
Optimal Dimension ◽  
Fea Model ◽  
Sensor Module

This paper presents the design and optimization of a temperature-pressure sensing module that is structurally integrated into an injection mold. The sensor extracts energy from the polymer melt pressure differential during the injection molding process and uses ultrasonic pulses as the wireless information transmission carrier. The dimension of the piezo ceramic rings that scavenge energy from the mold pressure change is optimized to minimize the volume of the sensor while maintaining the minimum Signal-to-Noise Ratio (SNR) required for reliable signal reception. An analytical expression of the optimal dimension is presented. Based on the optimized design, the sensor module package, together with the injection mold steel and the polymer melt that flows over the sensor into the mold cavity, was modeled using the finite element method. To quantify the behavior of polymer melt and its effect on sensors output, a coupled fluid-structure interaction analysis was performed to examine the mold-melt interface, by using the solution-looping and mesh-morphing techniques. A case study of the sensor design for a 40 mm thick injection mold was investigated by using the presented optimization method and FEA model. Results show that the volume of the piezo stack can be reduced to 0.7 cm3 while meeting the minimum SNR requirement. The minimum insulator thickness of 1 mm is presented by the FEA model to maintain the thermal induced error below 0.5%.

Monitoring of the injection and holding phases by using a modular injection mold

2018 ◽  
Vol 38 (1) ◽  
pp. 63-71 ◽  
Author(s):  
Dariusz Sykutera ◽  
Piotr Czyżewski ◽  
Artur Kościuszko ◽  
Piotr Szewczykowski ◽  
Łukasz Wajer ◽  
...  
Keyword(s):  
Standardized Test ◽  
Research Work ◽  
Polymer Melt ◽  
Polymeric Materials ◽  
Temperature Sensors ◽  
Mold Cavity ◽  
Rheological Parameters ◽  
Injection Mold ◽  
Injection Speed ◽  
Polypropylene Melt

Abstract Introducing pressure and temperature sensors into the mold cavity allows us to determine the rheological properties of the polymeric materials being processed. Furthermore, signals registered by sensors inside the mold cavity allow us to monitor the injection and holding phases as well as the subsequent solidification of the polymer melt. The aim of this research work was to verify the operational abilities of a laboratory injection mold with pressure and temperature sensors and was designed for research purposes. Standardized test pieces to investigate the mechanical properties of polymeric materials were obtained by using a laboratory injection mold. This article presents the investigation results of the influence of microcellular foaming of polyamide on the conditions inside an injection mold cavity. Apparent viscosity fluctuations of polymer melt in subsequent processing cycles were investigated as well. Additionally, the effect of changes in the injection speed of the polypropylene melt on its rheological parameters were investigated.

Analytic Wavelet-Based Ultrasonic Pulse Differentiation for Injection Mold Cavity Pressure Measurement

2005 ◽  
Vol 128 (1) ◽  
pp. 370-374 ◽  
Author(s):  
Li Zhang ◽  
Charles B. Theurer ◽  
Robert X. Gao ◽  
David O. Kazmer
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Processing Technique ◽  
Ultrasonic Pulse ◽  
Mold Cavity ◽  
Injection Mold ◽  
Signal Processing Technique ◽  
Pulse Trains ◽  
Relative Bandwidth ◽  
Analytic Wavelet

A new signal-processing technique based on analytic wavelet transform has been developed for detecting and differentiating temporally overlapped ultrasonic pulse trains that carry spatially distributed pressure information across an injection mold cavity. Compared to conventional wavelets that have a constant relative bandwidth at all the scales, the analytic wavelets investigated in this paper feature variable relative bandwidth, making it possible to simultaneously match the frequency characteristics of the ultrasonic pulse trains transmitted from the mold-embedded pressure sensors. As a result, more accurate detection and differentiation of the temporal and spectral information embedded within the ultrasonic pulse trains could be achieved. Theoretical framework for the analytic wavelet transform was established, and a multichannel ultrasonic pulse detector based on the complex Morlet wavelet was designed and experimentally investigated. The results have confirmed the effectiveness of the new signal-processing technique for on-line pressure sensing for injection molding process monitoring.

A Self-Energized Sensor for Wireless Injection Mold Cavity Pressure Measurement: Design and Evaluation

2004 ◽  
Vol 126 (2) ◽  
pp. 309-318 ◽  
Author(s):  
Li Zhang ◽  
Charles B. Theurer ◽  
Robert X. Gao ◽  
David O. Kazmer
Keyword(s):  
Pressure Measurement ◽  
Parametric Design ◽  
Numerical Models ◽  
Pressure Fluctuations ◽  
Experimental Studies ◽  
Polymer Melt ◽  
Mold Cavity ◽  
Injection Mold ◽  
Measurement Design ◽  
Constituent Component

This paper presents the modeling, design, and experimental validation of a self-energized sensor system for pressure measurement in the injection mold cavity using ultrasound as the information carrier. The sensor extracts energy from the polymer melt pressure and discretizes the pressure information into ultrasonic pulses for wireless transmission through the mold to a remote receiver. Analytical and numerical models are presented for three constituent components of the sensor: the energy converter, the threshold modulator, and the signal transmitter. Quantitative results were obtained to guide the parametric design of each constituent component. Simulations and experimental studies have validated the functionality of each individual component, as well as the sensor as an integrated unit. In addition to the injection mold pressure measurement, the sensing technique developed is applicable in a broad range of process monitoring applications where high pressure fluctuations occur.

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