A sequential modelling approach to determine process capability space during laser welding of high-strength Aluminium alloys

• DOI: 10.1016/j.jajp.2024.100218
• Publication Date: 2024-04-12T06:17:16Z
• Authors: Anand Mohan; Qamar Hayat; Soumitra Kumar Dinda; Venkat Vivek Pama...; Pasquale Franciosa; Dariusz Ceglarek; Michael Auinger
• Keywords: Performance indicator

Remote laser welding (RLW) technology has become a prominent joining in automotive industries, offering high production throughput and cost-effectiveness. Recent advancements RLW processes such as beam oscillation have led to an increased number of input process parameters, enabling precise control over the heat weld metallic materials. A critical necessity is selection robust parameters that satisfy all quality indicators or key performance (KPIs). This research presents comprehensive methodology encompasses following elements: (i) development physics-based simulations establish correlation between KPIs parameters; (ii) integration sequential modelling approach strikes balance accuracy computation time survey parameter space; (iii) capability space for quick parameters. Three physical phenomena are considered numerical models, which transfer, fluid flow material diffusion investigate effect on thermal cycle, solidification solute intermixing layer during dissimilar high-strength aluminium alloys. The governing decoupled sequentially, estimated based phenomena. At each step, defined constraints specific current determined by KPIs. provides initial combination early design stage, satisfies KPIs, thus decreasing experiments. proposed unique simulate variation generated manufacturing process, model requirements with multiple coupled requirements, optimise under competing requirements.