2020.6

About Instruments Today No. 223

Energy Technology

Self-Tuning PID Temperature Control for Plastic Injection Molding Processes

Chi-Huang Lu, Pen-Yu Liao

This report presents a self-tuning proportional-integral-derivative (PID) controller based on wavelet fuzzy neural networks (WFNNs) for plastic injection molding processes. A mathematic model using WFNN is constructed for the controlled nonlinear multivariable system, and the selftuning PID controller is derived via a generalized predictive performance criterion. The illustrative nonlinear multivariable system is used to demonstrate the effectiveness of the proposed strategy. The PC-based controller is used to implement a self-tuning PID temperature control system for plastic injection molding process. The experiment shows that the proposed self-tuning PID temperature control method has the satisfying temperature performance under set-point changes.


Optimization Chiller Group Operation by Simulating and Analyzing with EnergyPlus

Ta-Chun Weng, Cheng-Lin Li, Chieh-Lin Ko, Wen-Shing Lee

The study targets finding out the most energy-efficient combination between all different types and capacities of chiller groups through the outcome of analysis which based on the EnergyPlus simulations, also to set up the operating schedule and group sequence of chillers to produce the energy optimization outcome. Both grouping chillers under different capacities combination and setting operation schedule to chillers combination is the key to energy-saving. Comparing different types of chiller combinations with in the same total RT condition, the consumption results presenting a difference between each group. Our study result presents possibilities to decrease up to 3.7% annual energy cost comparing the best and the worst performance group by choosing the right combination of chillers. In addition, an extra 1.1% energy was saved by applying an operational schedule for chillers in the annual total electricity consumption.


Example of Active Building Air Conditioning Energy Management System

Lung-Chieh Lin, Hsu-Yao Huang, Ye-Chang Lin

With the advancements of both software and hardware technologies, the application of integrating both into energy management information systems has gradually matured. This research provides a new application direction of developing an active building energy management system by integrating data exploration and building energy consumption simulation software. Combining meteorological forecast data with the newly developed water chiller start-up optimizing model, the energy saving rate of an actual case study post application was 7.6%. This research provides evidence of effective energy saving results achieved through the analysis and control of software for future energy conservation personnel.  


The Application of Ultrasonic Transducer on the Process Diagnosis of Injection Molding at High Temperature and Freezing at Low Temperature

Chin-Chi Cheng, Hong-Ping Cheng, Che-Hua Yang, Yen-Hsiang Tseng, Yi-Lin Wu

Smart sensors are the basis of smart city, factory, manufacture, transportation, agriculture and life. The sensor is able to detect the information of environment, and transmits to the cloud through internet for smart control. The traditional sensors are limited by their sizes and single-phase detection. However, through the development of semiconductor and electrical circuit technologies, the capacity of sensor is significantly uplifted. In this paper, the general utilized sensors and their properties are introduced. The applications on the process diagnosis of high-temperature injection molding and low-temperature freezing processes by ultrasonic technology for improvement of process operation and guarantee of products are also presented.



Analysis and Application of Short-wavelength Light Inhibition Technology for Virus and Bacteria

Chih-Ning Hsu, Liang-Chieh Chao, Hsin-Yi Tsai, Peng-Nien Huang

At the end of 2019, the special infectious pneumonia caused by severe acute respiratory syndrome coronavirus that spread rapidly around the world in early 2020. After the 2002 SARS and 2009 influenza A virus H1N1 outbreaks in Taiwan, Taiwan᾿s medical treatment was supported by government support and private investment. For the new coronavirus (COVID-19), actively develop various anti-epidemic technologies in Taiwan. Therein, the masks is a necessary object which can reduce the infection of droplets, and the disinfection technology is also the focus of development. Among them, the use of light suppression to destroy the virus structure is the most convenient and can be widely used and applied in our life. This research develops a shortwavelength light suppression system and actually conducts a biological testing for virus verification in Biosafety level 2 environment (P2 Lab). The experiments show that when the virus of 229E was irradiated with a light dose of 50 mJ/cm2 or more, the virus has a 99.99% inhibition rate.


Semiconducting Metal Oxide Gas Sensor Materials: A Review

Wen-Tse Hsiao, Ting-Jen Hsueh, Kuo-Cheng Huang

With the advancement of the science and technology industry, it has driven the development of industry and cities around the world. However, the environmental impact and harm to people caused by the gases produced by these developments are becoming more and more obvious. In particular, the factors caused by fuel mobile vehicles and factory emissions account for a large proportion. For a long time, people will be threatened by diseases and disasters, and its impact level covers people᾿s breathing, cerebral nerves, cardiovascular and other systems. The development of sensor technology will help to detect and predict the source of pollution. According to Yole Development, a well-known international market research agency, the use of gas sensors will increase 300 times, and the output value will exceed 2 billion US dollars. (until 2021). Semiconductor metal oxide (SMO) gas sensors have the characteristics and advantages of low cost, long life, miniaturization, mass production, and easy integration into silicon-based processes. There will have the opportunity to be integrated into various mobile devices (such as mobile phones and tablet computers) in the future. Therefore, technologies related to the use of semiconductor-type gas sensors will attract much attention. This article will introduce the manufacturing process, principles and sensing materials of SMO gas sensors, as a reference for readers to develop gas sensor related products in the future.


Setup of Single-Molecule Optical Tweezers and Its Applications in Biomedical Research

Yen-Chan Chang, Kuan-Ting Chou, Shuen-De Wu, Hung-Wen Li

Single-molecule optical tweezers platform applies pico-Newton size of forces and has been widely used to study the functional mechanisms in biological systems, such as the motion of molecular motors, folding of DNA or RNA and protein-DNA interactions in the spatial resolution of few A. Here, we described the detailed guide for instrumental building and calibrations of highresolution optical tweezers and two types of commonly-used experimental assays. First, the forceextension assay can measure the extension under applied force by stretching and relaxing the molecule, and analyze the contour length and persistence length. Second, the passive force-clamp operates in a nearly zero trap-stiffness region and therefore, removes the needs to actively feedback the system to maintain a constant force throughout the experiments. Hence, the passive force-clamp platform can be used to study fast dynamics with small length change.