Webinar to Explore Sealing Challenges in EV Battery Manufacturing
TEADIT-hosted session on Sep 17 will detail how gasket failures impact production yield and equipment reliability in gigafactories.
An upcoming webinar presented by TEADIT will examine the critical role of sealing technology in EV battery manufacturing, focusing on how equipment-level decisions affect gigafactory reliability.
What Happened
Scheduled for September 17, 2026, at 11:45 am EDT, the free session is part of the Virtual Conference on EV Engineering, which runs from September 14 to 17. The presentation aims to provide engineers with a practical view of where sealing technology fits within a gigafactory and which applications require extra attention. The session will connect operating conditions to common failure modes, including solvent leakage, vacuum loss, moisture ingress, contamination, loss of gasket load, and leakage after repeated thermal cycles.
Why It Matters
Manufacturing an EV battery involves complex processes such as chemical processing, solvent recovery, vacuum drying, and electrolyte filling, all supported by extensive piping networks. During electrode production, solvents like NMP must be transferred and recovered, while vacuum drying and electrolyte filling require connections that prevent air and moisture ingress. Cooling systems introduce temperature cycling that can reduce gasket stress over time. Throughout the facility, thousands of connections involving pumps, valves, heat exchangers, vessels, and piping are subject to conditions where chemical compatibility, flange design, bolt load, gasket selection, and installation directly influence reliability. These sealing failures can lead to equipment shutdowns, maintenance issues, product contamination, scrap, and reduced production yield.
The Bottom Line
While gigafactories are defined by battery production, keeping the line running depends heavily on robust sealing solutions. The webinar underscores that reliability in the entire battery manufacturing process is influenced by decisions made at the equipment level.




