SMTA International 2024

PDC2: LTS 101: Manufacturing Process Guidance for Implementation of SnBi Based Low Temperature Soldering for Consumer Products
Instructor: Kok Kwan Tang, TechLeap PLT

Interest in Low Temperature Soldering (LTS) as a soldering technology solution for consumer products has been on the rise. The primary challenge limiting the adoption of LTS is the lack of knowledge to define and optimize the manufacturing process, identify solutions to overcome manufacturing defects, define and execute LTS product certification. This course is constructed with learnings from actual LTS product implementation in High Volume Manufacturing, collectively >20 consumer products since 2016. This course will also walk through key factors to successfully implement and certify consumer products with the LTS process.

PDC7: Analytical Techniques in Electronics Manufacturing: Theory, Applications, and Data Interpretation"
Instructor: Adam Klett, Ph.D., KYZEN Corporation

Whether you're an executive, a seasoned researcher, or a newcomer, this course is designed to sharpen
your analytical prowess and equip you with the knowledge and skills necessary for advancing electronics
manufacturing. This course offers an in-depth exploration of analytical techniques ubiquitous in electronics
manufacturing, including:
• Fourier Transform Infrared Spectroscopy (FTIR)
• Ion Chromatography (IC)
• Scanning Electron Microscopy with Energy-Dispersive X-ray Spectroscopy (SEM/EDS)
• Resistivity of Solvent Extract (ROSE)

Participants will gain a comprehensive understanding of the theoretical foundations, practical applications, and nuanced interpretation of raw data associated with each method. The journey begins with thoroughly examining the underlying principles governing these techniques, providing a solid theoretical framework. Subsequently, the course delves into the capabilities and limitations of each method, shedding light on their unique strengths and potential pitfalls. Central to the course is the exploration of strategies for interpreting raw data. Through real-world case studies and interactive discussions, participants will learn to extract meaningful insights from complex datasets, enhancing their analytical skills and decision-making capabilities.