Master Student: Fong-Ting Ye

Conference Date: November 15, 2024

Conference Name: The 113th Annual Meeting and the 41st National Academic Symposium of the Chinese Mechanical Engineering Society

Conference Location: Kaohsiung，National Kaohsiung University of Science and Technology 

Presentation Title: Analysis and Discussion of Material Properties of Printed Circuit Boards Applied to Packaging Structures

Reflection

I would like to thank Professor W. C. Chuang for recommending me to participate in this CSME symposium, which allowed me to gain presentation experience before my oral examination and to hone my on-the-spot responses during the Q&A session with the examiners. It also helped me assess whether my preparation, including my backup slides, was thorough enough.

This was my first time participating in a large-scale national academic event. It provided an opportunity to reflect on the changes I have undergone in the approximately one year since joining the lab, as well as to introspect on the areas where I am still lacking.

At the event, I had the chance to see presentations from graduate students and even assistant professors from different research labs across various universities. The differences in presentation skills and familiarity with the slides were evident, and I took this as a valuable learning experience.

Moreover, it was a rare opportunity to explore a wide range of research topics, with my main focus being on composite material research, which is related to my current work. I was able to approach the field of composites from an experimental perspective, which was different from my previous experiences.

The only regret I have is that I had planned to meet and exchange ideas with a student named Lin, who is conducting research on vibrations, but he was unable to attend the symposium. It was unfortunate that I couldn't engage with a peer from the same field.

Listening Session 1

The Impact of Natural Fiber Composites on the Strength, Ductility, and Mechanical Properties of Sandwich Structures

Exploring the Impact of Different Sandwich Structures on Impact Energy. The analysis of results shows that as impact energy increases, the edgewise compressive strength decreases. Among the three materials, GFRP exhibited the highest edgewise compressive strength. It was also found that regardless of the failure mode, the edgewise compressive strength remained higher than the face sheet buckling.

Listening Session 2

Design and Simulation Analysis of Low Carbon Carbon Fiber Steel Toe Structure

Exploring the Impact of Recycled Carbon Fiber Powder on Carbon Fiber Composite Plates. Tensile and bending tests were conducted separately. The results showed that adding a small amount of recycled carbon fiber to the material provided the best strength in the bending tests.

Listening Session 3

Evaluating the Static Strength of Adhesive Joints Reinforced with Carbon Nanomaterials Using Numerical Simulation Methods

Through experimental and simulation comparison, cohesive zone model analysis and experiments were conducted. The results showed that after adding nanofillers, the maximum load of the adhesive joints, as analyzed by the cohesive zone model, was effectively increased. The optimal enhancement occurred with a 9:1 filler ratio. The experimental results were consistent with the simulation trends.

Listening Session 4

Study on the Mechanical Properties and Failure Characteristics of Carbon Fiber Composites Reinforced with Aerogel

With the widespread development of composites, the issue of recycling has gained increasing attention. This study focuses on improving the material properties of BMC (Bulk Molding Compound) and discusses its failure characteristics. The results show that the strength of recycled BMC materials varies depending on the fiber-containing regions. During tensile and compressive tests, the strength is greater when the applied force is perpendicular to the fiber direction.

Listening Session 5

Strength and progressive failure predictions of T-joint laminated composites using 3D continuum damage modeling

The presenter is an Assistant Professor at National Cheng Kung University, and the topic is "Strength and Progressive Failure Prediction of T-Joint Laminated Composites Using a Three-Dimensional Continuous Damage Model." Two models, CDM (Continuum Damage Model) and CZM (Cohesive Zone Model), are used to predict failure in the target material. (This study only discusses the elastic region and does not consider plasticity issues.)

Master Student: Chen Jheng-Wei

Conference Date: October 5, 2024

Conference Name: 2024 Association of Computational Mechanics Taiwan (ACMT 2) & The 15th Workshop on Boundary Element Methods (TWBEM 15)

Conference Location: Tainan，National Cheng Kung University

Presentation Title: Application of the variability in printed circuit board material properties on the resonance frequency of the package structure

Reflection

ACMT 2024 was the first conference I attended. I saw many different types of research on site and had the opportunity to exchange ideas with other participants. I learned about various research methods and knowledge, and also observed the current trends and topics in recent studies, which greatly benefited me.

Listening Session 1

Automated Reverse Engineering for Assessing Drop Impact Strength in Mobile Electronics

The presenter was a professor from National Taiwan University, who used reverse engineering and programming to approximate the material properties of the encapsulant applied to electronic mobile devices. By comparing the simulated values with the experimental values at different drop heights, the relevant material parameters were obtained through this method.

Listening Session 2

An Anomaly Detection Algorithm for Rubber-type Materials Using Constructive Artificial Network with Autoencoders

The presenter was a student from Tsinghua University. The report discussed using various algorithms for neural network training and referenced many studies, explaining how to effectively train a neural network to achieve good performance. The trained neural network was then used for material testing.

Listening Session 3

Characterizing elastic properties of particulate composites using convolutional neural network

The report discussed how to train convolutional neural networks and the methods for collecting training data. The trained neural network was then used to characterize the elastic properties of granular composite materials.

Listening Session 4

Development and Design of Obstacle Avoidance Control Simulation Methods for Industrials Robotic Arms

The report demonstrated how programming and simulation were used to enable industrial robotic arms to perform obstacle avoidance. It included the logic behind the program's operation, the challenges encountered during development, and how they were ultimately resolved to complete the research.

Listening Session 5

Microstructure of 2D Ruddlesden-popper Perovskites Using Largescale Monte Carlo Simulations Enabled by Machine Learning Potential Energy Model

The report presented how machine learning potential models were used to support large-scale Monte Carlo simulations in studying the microscopic structures of two-dimensional Ruddlesden-Popper phase perovskites. It covered the design of the experimental model and the relevant machine learning methods.

Master Student: Ting-Yu Kang

Conference Date: October ６, 2024

Conference Name: 2024 Association of Computational Mechanics Taiwan (ACMT 2) & The 15th Workshop on Boundary Element Methods (TWBEM 15)

Conference Location: Tainan，National Cheng Kung University

Presentation Title: Development of an Evaluation Model for Warpage in Flip-Chip Packaging Process Using Machine Learning Methods 

Reflection

The 2024 ACMT is my first time participating in a conference. I am grateful to Professor Wan-Jun Zhuang for giving me this opportunity, allowing me to practice giving presentations and answering questions clearly from the audience. I also attended several other presentations, learning from the strengths of other speakers to improve my own performance. Finally, I had the chance to exchange ideas with researchers from other labs, gaining insight into their research topics and directions. 

Listening Session 1

Numerical Modeling of Electromigration Behavior within Cu Redistribution Layers for Circuits Lifetime Prediction

The presentation primarily discussed the electromigration behavior in the copper redistribution layer, showcasing the entire process and research methodology. It also utilized numerical modeling techniques to analyze and predict the impact of electromigration on the circuit's lifetime.

Listening Session ２

Cover Jig Tooling Design and Bare Substrate Warpage Improvement By AI technology

The presentation primarily utilized artificial intelligence techniques to optimize and improve the design of lid fixtures and address the warpage issues of bare substrates in the electronic manufacturing process. The goal was to minimize the impact of warpage on the final product's reliability and performance．

Listening Session ３

On the dislodgement of bubbles in microchannels with embedded pillars

The presentation primarily discussed the generation of bubbles in microchannels with embedded pillar structures, as well as methods for removing residual bubbles trapped within the pillar structures. Through a combination of experimental and numerical simulation approaches, the study aimed to provide better solutions for bubble control and enhance the application of microfluidic technologies.

Master Student: Chen Po-En

Conference Date: April 26, 2024

Conference Name: 2024 International Society of Mechatronic Engineering, The 9th Annual National Academic Conference

Conference Location: Yilan，National Ilan University

Presentation Title: The structural thickness of the die affects the warpage of the wafer during the decarrier process in fan-out wafer-level packaging ; The thickness of the compound affects the wafer warpage during the decarrier process in fan-out wafer-level packaging

Reflection

Attending the ISME conference in 2024 has been highly beneficial for me. The conference featured diverse and rich topics, allowing me to gain deeper insights into the latest developments and trends in the field of mechanical engineering. It broadened my perspectives and enriched my professional knowledge. I am particularly grateful for the guidance and encouragement from Professor Chuang Wan-Chun, which enabled me to participate in this valuable learning opportunity. I look forward to applying what I have learned to my future research endeavors.

Listening Session 1

Chip fixture defect detection based on image recognition

The presenter is a student from Ilan University, who aims to utilize image recognition technology for monitoring and defect detection of fixture quality. The author combined Arduino's single-board camera with Python image recognition programming to achieve precise image recognition of fixture quality.

Listening Session 2

Tool temperature estimation for milling cutter wear on milling machines based on machine learning

The presenter is a student from Ilan University who utilizes K-type thermocouples and Bluetooth sensors installed on tool holders for remote real-time measurement of tool temperature. Additionally, they measure tool wear after each cutting operation to study the effects of different cutting parameters on temperature and wear.

Listening Session 3

Machine learning combined with molecular dynamics for predicting the mechanical properties of CrxCoyNiz high-entropy alloys

The presenter is a student from Kaohsiung University of Science and Technology, who explores machine learning predictive models for high-entropy alloys. They integrate molecular dynamics (MD) simulations with machine learning (ML) techniques to enhance the predictive accuracy of alloy properties and demonstrate the effectiveness of combining MD simulations with machine learning techniques in predicting alloy properties.

Listening Session 4

Intelligent cutting tools for sensing multi-axis cutting forces

The presenter is a student from Ilan University who, through research, developed intelligent turning tools. Utilizing strain gauge pressure sensors on the tool holder, they analyze errors, perform prediction, and compensation, enabling the estimation of cutting forces generated during machining.

Listening Session 5

Risk analysis of braking systems

The presenter is a student from National Taiwan University, who proposed a fault injection framework based on system-theoretic process analysis. This framework is used to simulate unsafe control behaviors that may occur in an Automatic Emergency Braking (AEB) system and conduct risk analysis through fault injection methods.

Master Student: Chung-Jui Wang

Conference Date: April 26, 2024

Conference Name: 2024 International Society of Mechatronic Engineering, The 9th Annual National Academic Conference

Conference Location: Yilan，National Ilan University

Presentation Title: Exploration of Equivalent Model for Shell Structure Substrate in Flip Chip Packing

Reflection

Thanks to Professor Chuang Wan-Chun for allowing me to participate in the 2024 ISME 9th Annual National Academic Conference. This conference provided me with the opportunity to interact with speakers from other fields, understand the latest developments and trends in the field of mechanical engineering, and gain a more diverse perspective. Drawing from my experiences in previous conferences, I am honored to have received the Best Paper Award this time. This not only acknowledges the growth of my presentation skills but also encourages me to continue improving in the future.

Listening Session 1

Automatic Gluing Machine

The presenter is a student from National Ilan University. The author integrated a dual-axis motion platform with a dispensing valve and combined it with a programmable logic controller to reduce errors caused by manual operation, aiming to increase the efficiency of the production line.

Listening Session 2

Integration and Numerical Analysis of Stirling Engine with Power Generation System

The presenter is a student from Chung Cheng University. The topic revolves around integrating a Stirling engine with a generator. The aim is to compare the shaft power of the engine and the electrical power output of the generator under different pressures and temperatures to determine the stable operating range for both systems.

Listening Session 3

Unmanned Aerial Vehicle Image-Based Target Tracking Using Kalman Filtering and Deep Learning

The presenter is a student from National Ilan University. The author utilized image recognition technology to locate targets and employed Kalman filtering to enhance the accuracy and stability of tracking. This approach successfully achieved autonomous target tracking by unmanned aerial vehicles.

Listening Session 4

Risk Analysis of Brake Systems

The presenter is a student from National Taiwan University. The author proposed a fault injection framework based on system-theoretic process analysis, which was utilized to simulate and analyze potential unsafe control behaviors in an automatic emergency braking system.

Listening Session 5

Automated Screw Locking Robot

The presenter is a student from National Ilan University. The author developed a visual recognition system that integrates ultrasonic rangefinders and an automated torque adjustment device, aiming to enhance production efficiency and quality.

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