Extrusion & Die Process Application (EP)

Craig Werner, Intelligent Extrusion LLC, USA

The extrusion industry has made huge strides in equipment and collection of critical tooling, recipe, process, and production data over the past decades but too often decision processes have not kept pace. Proper data collection and organization allow for improved historical investigations helping to pinpoint and solve the root cause(s) thus improving future decisions and actions. This also prepares extruders to utilize advanced analytic tools starting with predictive analysis applied through a myriad of key extrusion variables and relationships to dramatically improve quotation accuracy and recipe optimization, which rely on consistent data structures. These in turn are key inputs into dramatically improving yield and productivity and in matching capacity with demand. The authors’ collection of ET ’27 papers are meant to be read or referred to as an overall roadmap and are designed to progressively advance extruders’ capabilities via prediction.

Shah Imani, Dan Dunn and John Cullum, Castool Tooling Systems, Canada

Building on our award-winning ET ’22 study on billet geometry, this research advances thermal management in aluminum extrusion by examining the distinct and decoupled roles of billet and container. Contrary to conventional assumptions, findings show billet and container temperatures are not directly correlated; maintaining a stable differential is critical for process scalability. The study evaluates the impact of billet taper, material selection, heating element configuration, and thermocouple placement on thermal gradients, extrusion uniformity, and efficiency. High-fidelity simulations and case studies reveal that billet taper compromises temperature accuracy, reducing productivity and optimization potential. Comparative analysis of center-of-mass versus liner-focused heating strategies highlights their influence on precision control. Results redefine the container’s role from passive heat sink to active thermal boundary, enabling improved billet temperature stability. Measurable gains include enhanced uniformity, reduced cycle times, and improved predictive control supporting next-generation container systems aligned with industry goals for energy efficiency, thermal precision, and extrusion performance.

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