Industrial robotic arm assembling a mechanical component on an automated manufacturing line.
Upcoming Webinar

Contamination Control in Battery Manufacturing: Enhancing Safety and Yield

As battery demand surges, maintaining stringent contamination control has become a critical factor in ensuring safety, performance, and operational yield. Even trace levels of particulate or molecular impurities can lead to significant product failure and costly production downtime. This webinar explores the essential role of advanced contamination monitoring in battery manufacturing.

Thursday March 26, 2026

9 AM EDT - Duration 1h

Register here

Battery manufacturing is a complex, high-precision process where even trace contamination can compromise safety, performance, and yield. Demand for advanced energy storage is growing, and maintaining control over particulate and molecular contaminants is essential to achieving consistent product quality and operational reliability. Effective contamination monitoring delivers measurable value by improving process stability, reducing
defects, and protecting critical environments from costly disruptions. With decades of proven expertise, Particle Measuring Systems provides the instrumentation, data intelligence, and application knowledge needed to address these evolving challenges. This paper examines practical examples of contamination control and monitoring in battery production, demonstrating how data-driven measurement strategies help manufacturers enhance safety, ensure quality, and optimize yield across every stage of the manufacturing process.

Key Learning Objectives:

  • Review the monitoring process within battery manufacturing
  • Provide practical examples of contamination control and monitoring in battery production
  • Demonstrate how data-driven measurement strategies help optimize yield and ensure safety

Who should attend:

  • Battery Manufacturing Engineers
  • Quality Assurance (QA) & Quality Control (QC) Managers
  • Process Engineer
  • Equipment Engineer
  • R&D Scientist
  • Materials Scientist
  • Quality Assurance & Quality Control Engineers
  • Field Service Engineer
  • Manufacturing Engineer
  • Production Engineer
  • Cleanroom Manager
  • Cleanroom Operations Manager
  • Semiconductor Process Engineer
  • Contamination Control Engineer
  • Yield Enhancement & Management Engineers
  • Facilities Engineers and Technicians

Speakers

Benton Hutchinson

Product Line Manager

Benton Hutchinson

Benton is a Product Line Manager at Particle Measuring Systems, focused on aerosol, compressed gas, and airborne molecular contamination (AMC) monitoring in cleanrooms. With a background in chemical engineering and hands-on experience in the semiconductor and microelectronics industries, he helps manufacturers improve contamination control. Benton is an expert in detecting and reducing AMC and particle levels in critical environments, supporting high-yield production and cleanroom compliance. He has delivered technical training and presentations on cleanroom contamination topics around the world. Benton holds both a Bachelor’s and a Master’s degree in Chemical Engineering. At Particle Measuring Systems, he supports global innovation in cleanroom monitoring.

Lexi Lake

Applications Engineer

Lexi Lake

Lexi Lake, M.S., is an Applications Engineer at Particle Measuring Systems with expertise in aerosol, gas, and airborne molecular contamination (AMC) monitoring for cleanroom manufacturing. She works closely with pharmaceutical, biotech, semiconductor, and microelectronics companies to improve contamination control strategies. Previously, Lexi was an Aerobiology Engineer, where she led aerosol R&D and helped develop new microbial monitoring technologies. Her scientific background includes research on airborne pathogens and respiratory disease therapies. Lexi holds a Master of Science in Microbiology and a Bachelor of Science in Biology. She regularly shares her knowledge through presentations on viable and non-viable particle monitoring, airborne particle behavior, and contamination control.

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