4.5 Article

Laser intensity and surface distribution identification at weld interface during laser transmission welding of thermoplastic polymers: A combined numerical inverse method and experimental temperature measurement approach

Journal

POLYMER ENGINEERING AND SCIENCE
Volume 63, Issue 9, Pages 2795-2805

Publisher

WILEY
DOI: 10.1002/pen.26405

Keywords

experimental temperature measurement; laser intensity distribution; laser transmission welding; numerical inverse method; thermoplastic polymers; weld interface

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The determination of laser intensity distribution for welding thermoplastic parts is crucial for optimizing the laser welding process. This paper presents a technique that combines numerical inverse method and experimental temperature measurements to determine the laser intensity distribution at the weld interface. The technique is cost-effective, does not require specialized equipment, and considers variations in laser beam intensity caused by different components and interfaces. It has been validated through experiments on transparent and absorbent Polylactic acid polymers.
The determination of the laser intensity profile necessary to weld two thermoplastic parts is crucial for understanding and optimizing the laser welding process in polymers and composite materials. Traditional methods of measuring the laser beam intensity profile, such as laser beam profiling techniques, can be difficult to implement and expensive. In this paper, we present the development of a technique that combines a numerical inverse method with experimental temperature measurements to determinate the laser intensity distribution at the weld interface. This technique does not require specialized or expensive equipment and accounts for variations in laser beam intensity caused by different components and interfaces. The technique uses thermocouple sensors to measure interface temperatures during welding, and an analytical gaussian model to estimate the laser intensity distribution at the weld interface. The model is then used as input data in a numerical heat transfer model. The technique is validated through experimental investigations on transparent and absorbent Polylactic acid polymers.

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