研究目的
To address the challenges in laser blanking process by minimizing raw material wastage, reducing cutting time, and improving service life of components through the development of AlN heat zone spread resistance coating and optimization methods.
研究成果
The AlN coating effectively reduces heat zone spreading and improves corrosion resistance, while optimization methods minimize wastage and cutting time. The integrated approach provides a Pareto front for user selection, enhancing productivity and quality in laser blanking processes.
研究不足
The study is limited to specific Ar:N2 ratios and steel substrates; other materials or conditions may yield different results. The optimization methods may require fine-tuning for broader applications, and the coating process might not be scalable for industrial use without further validation.
1：Experimental Design and Method Selection:
The study involves optimizing sheet metal nesting to reduce wastage and cutting time using a heuristic algorithm (Simulated Annealing Algorithm) and developing AlN coatings via DC magnetron reactive sputtering to resist heat zone spreading and improve corrosion resistance.
2：Sample Selection and Data Sources:
Stainless steel sheets are used as substrates. Parts for nesting include Component A and Component B with specific dimensions.
3：List of Experimental Equipment and Materials:
Equipment includes DC magnetron sputtering system, laser source, scanning electron microscope (TESCAN Vega-3), electrochemical workstation, ultrasonic cleaner, mass flow controllers, and software like 'My Nesting' and AutoCAD. Materials include
4：99% pure aluminum disc, argon and nitrogen gases, steel substrates, and NaCl for corrosion testing. Experimental Procedures and Operational Workflow:
Clean steel substrates ultrasonically, deposit AlN thin films with varying Ar:N2 ratios (1:1 and 2:1) using sputtering, irradiate with laser to analyze heat zone, perform SEM and electrochemical corrosion analysis, optimize nesting and cutting sequence using software and algorithms.
5：Data Analysis Methods:
Use image J software for morphological analysis, Tafel polarization for corrosion rate calculation, and simulated annealing for optimizing cutting sequence and Pareto front generation.
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