Conference presentation
Best Paper Award
Reflection
I would like to thank Professor Chuang for allowing me to participate in the 8th Annual National Academic Conference of the International Society of Mechatronic Engineering (ISME). It provided me with an opportunity to practice presenting my research topic. I am honored to have received the Best Paper Award for my presentation. I am grateful to the ISME for organizing this conference during such a challenging time of the pandemic, allowing me to participate, observe, and learn from the presentations of other students.
Listening Session 1
Robot Vision Recognition - Hardware Component Classification and Processing System
The presenter is a student from National Ilan University, who will mainly discuss the integration of AI and machine vision recognition system, and the use of machine learning to improve the success rate of parts assembly and classification. Through the application of machine learning, the accuracy of the system is improved.
Listening Session 2
Multiphysics Simulation of Gas Flow Velocity and Sensor Temperature
The presenter is a student from National Taiwan University. Through the use of COMSOL software, they simulated the relationship between the temperature of the heating end and the fluid flow rate through thermal coupling and inverse operation. They plan to manufacture a prototype in the future.
Listening Session 3
Numerical simulation of cutting heat transfer based on cutting temperature
The presenter is a student from National Taiwan University who utilized temperature sensors to measure the temperature variation of a single point on the cutting tool during machining, and used COMSOL software to simulate the temperature field data of the tool as it changes over time during the cutting process based on the cutting temperature and heat transfer.
Conference presentation
Best Paper Award
Reflection
Thank you, Professor Chuang Wan-Chun, for allowing me to participate in the 8th Annual National Academic Conference of the International Society of Mechatronic Engineering (ISME) in Taiwan. I was fortunate enough to receive the Best Paper Award, and I gained a lot of experience from the presentations at the conference. I also learned about areas where I can improve, which will help me give better presentations in the future.
Listening Session 1
Automatic Gluing Machine
The presenter designed a dual-axis motion platform and a homemade dispensing valve, and wrote a programmable logic controller (PLC) to integrate the controller with the dispensing machine. Finally, they conducted actual performance testing of the automatic dispensing machine using a human-machine interface to operate and control it.
Listening Session 2
Robot Vision Recognition - Hardware Component Classification and Processing System
The presenter developed a visual recognition system using the Python programming language, which combines a PC, a robotic arm, and utilizes CNN machine learning to improve the accuracy of screw identification and classification. The system is designed to quickly identify and classify different types and sizes of screws.
Listening Session 3
Multiphysics Simulation of Gas Flow Velocity and Sensor Temperature
The presenter used the heat-balance-based method with thermal mass flow meters as the simulation method. They used COMSOL software for inverse calculations and function calculations, and after verifying the simulation, they used quality methods to change the geometric and material parameters to define the important parameters of the prototype instrument.
Check-in at the conference venue
Best Paper Award
Reflection
This is my first time participating in a speaking-type seminar, and during the presentation, I realized that my preparation was not perfect. However, by attending this seminar and listening to the presentations of other students, I learned that a good presentation must be clear and understandable to the audience. I am grateful to Professor Chuang Wan-Chun for giving me the opportunity to participate in the 8th ISME seminar, and I am also very happy to receive the Best Paper Award. I hope to make further progress in the future.
Listening Session 1
Robot Vision Recognition - Hardware Component Classification and Processing System
The presenter is a student from National Ilan University. He/she developed a visual recognition system by combining AI, a vision sensor system, and a robotic arm. By utilizing CNN machine learning, the system can accurately recognize screw types and sizes, and precisely judge the hole position, thus significantly improving production efficiency and yield through the integration of automation equipment.
Listening Session 2
Smart Tool Holder with Multi-Axis Cutting Force Sensing
The presenter is a student from National Ilan University. They have developed a smart cutting tool with cutting force sensing function for CNC lathes. Using Solidworks software, they designed the tool to collect three cutting forces generated during the turning process. The finite element method was then used to analyze and determine the contact force between the tool holder and the smart cutting tool. This allowed the position of the sensor to be determined, so that the smart cutting tool could have better sensitivity.
Listening Session 3
Numerical simulation of cutting heat transfer based on cutting temperature
The presenter is a student from National Taiwan University. They developed a temperature sensor to measure the instantaneous temperature during cutting and simulated the temperature field data of the cutting tool with COMSOL software. Through observation, they found that the measured temperature decreased with the increase of cutting speed and decreased with the increase of feed rate. With the self-developed sensor, the temperature change during milling can be understood, and suitable cutting parameters for the milling process can be planned based on the simulated temperature data.
Check-in at the conference venue
Conference presentation
Reflection
Thank you to Professor Chuang Wan-Chun for allowing me to attend the 8th Annual National Academic Conference of the International Society of Mechatronic Engineering. This was my first time attending an academic conference, and although I was nervous and did not perform as well as I had hoped during my presentation, I am grateful for the experience. Unfortunately, I did not receive the Best Paper Award, but I will use this experience to improve myself and work harder in the future to achieve better results.
Listening Session 1
Automatic Gluing Machine
The presenter is a student from National Ilan University, and the topic of this report is the development of an automatic glue dispenser that is not affected by human factors, by accurately controlling various variables of the dispensing process through computer control.
Listening Session 2
Multiphysics Simulation of Gas Flow Velocity and Sensor Temperature
The presenter is a student from National Taiwan University, and the topic of this report is the development of a sensor that uses the temperature loss rate to calculate the velocity of the ambient gas. The report explains in detail the operating principle of the sensor, and the research method is to use COMSOL software for simulation and combine it with actual experiments to verify its effectiveness.
Listening Session 3
Numerical simulation of cutting heat transfer based on cutting temperature
The presenter is a student from National Taiwan University, and the topic of the report is to develop a theoretical model for the temperature variation of cutting tools in machine tools. The report details the experimental data and COMSOL software to derive the relationship between the temperature of the cutting tool and the cutting speed and feed rate.
Conference Attendance Certificate
Conference presentation
Reflection
Thanks to Professor Chuang Wan-Chun for giving me the opportunity to participate in the 2023 CTAM Conference. After my previous conference experience, I gained valuable insights that made my second preparation smoother and reduced nervousness compared to my first time presentation. Through this conference, I had the chance to share my research findings with speakers from related fields, enhancing my capabilities. I hope to continue participating in similar conferences in the future to further refine my presentation skills.
Listening Session 1
Multiscale Fracture to Damage Modeling with Neural NetworkEnhancement
The presenter is a student from National Tsing Hua University who introduced a multiscale neural network (NN)-enhanced finite element method (FEM). The presenter proposed using a pre-trained neural network (RVE) on representative volume elements, generating a homogenized surrogate model that can be deployed in macroscopic scenarios with coarse meshes. This framework, modeled through FEM, significantly reduces computational costs. The proposed method was validated by solving a series of problems and compared with DNS, providing a solution for multiscale fracture and damage modeling.
Listening Session 2
Deep Learning Model to Predict Dendrite Structures Growth
The presenter is a student from National Cheng Kung University. The speaker proposed a deep learning model to predict the morphology of dendrite growth during the solidification process, along with a reinforcement learning model to control the solidification process. By training the deep learning model with data generated through phase-field methods, successful predictions of the solidification process were achieved. Additionally, adjusting the degree of undercooling in the deep learning model allowed for the alteration of crystal growth structures. Simultaneously, reinforcement learning was implemented to control dendritic arteries, opening new avenues for the processing of advanced materials and improving the targeted performance of material design in the future.
Listening Session 3
Molecular Dynamics Studies on Bridged Structures in Ultrathin 2D MoS2 for Enhancing Toughness
The presenter is a student from National Cheng Kung University. The author created original MoS2 samples with rectangular defects of varying widths and lengths. The aim was to explore their impact on the strength and behavior of two-dimensional MoS2. The research results indicate that the length of parallel bridge-shaped defects significantly influences fracture toughness. Longer bridges can significantly enhance the toughness of MoS2.
Listening Session 4
Exploring the Microscopic Mechanisms of Organic Semiconductor Photocatalysts in Hydrogen Production Systems Using Molecular Dynamics
The speaker is a student from National Cheng Kung University. The author employed first-principles calculations and molecular dynamics to simulate the properties of various polymer photocatalysts. Utilizing diverse polymer models and simulation environments, they established a framework to observe and analyze molecular interactions at the microscopic level. Finally, an effective method for designing and optimizing polymer photocatalysts was proposed.
Listening Session 5
Predicting the aerodynamic flow field around a wing using a deep learning model
The speaker, a student from National Cheng Kung University, presented an accurate and efficient development method for airfoil design. Two deep learning models, namely, the conditional generative adversarial network model (cGAN) and the dual-input convolutional neural network model (CNN), were employed to expedite computational fluid dynamics. The cGAN predicts the airfoil flow pressure field by taking geometric and fluid dynamics conditions as inputs. The dual-input CNN model integrates inputs from the airfoil flow pressure field and fluid dynamics conditions. It uses the pressure field images predicted by cGAN and numerical values of fluid dynamics conditions to predict the lift coefficient.
Check-in at the conference venue
Conference presentation
Reflection
Thanks to Professor Chuang Wan-Chun for allowing me to participate in the 2023 CSME Conference. Drawing from the experience gained in my previous attendance at conference, I felt less nervous during my presentation this time, resulting in a more stable performance. This conference provided me with the opportunity to share my research findings with speakers from other fields. Through such exchanges, I can enhance my capabilities, and I hope to continue participating in similar conferences in the future to further develop my presentation style and skills.
Listening Session 1
Flexible Seven-in-One Microsensor Embedded in a Vanadium Redox Flow Battery for Real-time Microscale Monitoring
The presenter is a student from Yuan Ze University, and the authors have developed a seven-in-one microsensor capable of measuring seven physical quantities: hydrogen concentration, conductivity, temperature, flow rate, pressure, voltage, and current. The sensor employs a polyimide film as its substrate to withstand the strong acidic environment within the vanadium redox flow battery.
Listening Session 2
Development of Microscopic Diagnostic Techniques for Homogeneous Regenerative Fuel Cells
The presenter is a student from Yuan Ze University, and the authors have developed a nine-in-one microsensor capable of measuring nine physical quantities: hydrogen concentration, oxygen concentration, conductivity, voltage, current, temperature, humidity, flow rate, and pressure. This sensor is designed for real-time monitoring of various physical parameters within a fuel cell, allowing for the adjustment of reaction conditions and efficiency to enhance the performance and safety of the fuel cell.
Listening Session 3
Development of Real-time Sensing Technology for Proton Exchange Membrane Fuel Cells
The presenter is a student from Yuan Ze University, and the authors have developed an eight-in-one microsensor capable of measuring eight physical quantities: oxygen concentration, clamping pressure, hydrogen concentration, voltage, current, temperature, flow rate, and humidity. This microsensor is embedded in a proton exchange membrane fuel cell (PEMFC) for real-time data monitoring. Additionally, tests were conducted at three different temperatures to determine the optimal operating temperature for the PEMFC.
Listening Session 4
Wireless Flexible Three-in-One Microsensor Applied to Real-time Monitoring of Oxygen Flow, Concentration, and Pressure in Central Oxygen Systems
The presenter is a student from Yuan Ze University, and the authors have developed a three-in-one microsensor capable of real-time wireless monitoring of oxygen concentration, flow rate, and pressure at the interface of the central oxygen system in hospital wards. This ensures that the oxygen levels meet medical requirements.
Listening Session 5
Homemade Flexible Three-in-One Microsensor for Real-time Monitoring of Air Conditioning System's Airspeed, Temperature, and Humidity
The presenter is a student from Yuan Ze University, and the authors have developed a three-in-one microsensor applied to real-time monitoring of the internal environment of air conditioning cold ducts. The sensor monitors airspeed, temperature, and humidity, and data analysis is performed on these three physical parameters to identify the optimal internal environmental control parameters.
Department of Mechanical and Electromechanical Engineering, National Sun Yat-sen University.
Microsystem Design and Analysis Laboratory. [EN3040-1]
No. 70, Lianhai Road, Gushan District, Kaohsiung City 804, Taiwan.
TEL: +886-7-5252000 ext.4265
Department of Engineering Sciences, National Cheng Kung University.
Microsystem Design and Analysis Laboratory. [41121]
No. 1, University Road, East District, Tainan City 701, Taiwan.
TEL:+886-6-2757575 ext.63342#24
Copyright © 2024 Microsystems Design and Analysis Laboratory. All rights reserved.