Research on Laser Cutting Technology for Automotive Structural Components

Laser cutting technology has become an essential manufacturing process for specialized automotive structural components due to its high precision, flexibility, and efficiency. With the increasing demand for lightweight vehicle structures and complex component geometries, manufacturers require cutting methods that can maintain dimensional accuracy while reducing thermal deformation. This study focuses on the material characteristics and structural features of automotive components and investigates how laser cutting parameters affect overall processing quality.
 
The research analyzes several critical process parameters, including laser power, cutting speed, focal position, and auxiliary gas selection. Different parameter combinations were developed according to specific process characteristics of various structural components. By matching parameters with material thickness, mechanical properties, and structural complexity, the study established a multi-objective process parameter optimization system for laser cutting applications.
 
Cutting experiments were conducted on representative automotive structural components to evaluate processing efficiency and cut quality. The optimized parameter settings demonstrated significant improvements in cutting precision, edge smoothness, and dimensional stability. At the same time, processing speed was effectively increased without sacrificing product quality. Experimental comparisons showed that inappropriate parameter settings often caused excessive heat input, resulting in slag formation, thermal deformation, and unstable cutting performance.
 
The results confirm that parameter optimization based on process characteristics can effectively reduce ineffective heat accumulation and improve cutting stability. Furthermore, the study provides valuable technical guidance for the engineering application of laser cutting technology in the manufacturing of specialized automotive structural components, supporting higher production efficiency and improved product reliability.