Slicing Software and Print Optimization
Description
Comprehensive training on slicing software, G-code generation, print parameter optimization, and advanced slicing techniques for quality improvement and efficiency.
Learning Objectives
Students will master popular slicing software including Cura, PrusaSlicer, and specialized slicers, understand G-code fundamentals and customization, optimize print parameters for quality and speed, implement advanced slicing strategies, troubleshoot common printing issues, and develop systematic approaches for parameter tuning across different materials and geometries.
Topics (13)
Infill pattern comparison (honeycomb, gyroid, cubic, etc.), density optimization for mechanical properties, lightweight structures, material conservation, and application-specific infill selection.
Multi-extruder configuration, purge tower optimization, tool change strategies, material interface techniques, soluble interface materials, color mixing, and waste reduction methods.
Slicing process overview, STL file processing, layer generation, toolpath planning, G-code commands and structure, printer communication, and the role of firmware in print execution.
Cura interface and workflow, printer profiles and material settings, quality vs speed optimization, support generation strategies, infill patterns and density, plugin installation and usage, and custom profile creation.
PrusaSlicer workflow, variable layer height optimization, modifier mesh applications, multi-material MMU setup, organic support generation, sequential printing, and advanced infill techniques.
Layer height selection criteria, adaptive layer height techniques, magic numbers and nozzle diameter relationships, staircase effect minimization, and quality vs speed trade-offs.
Overhang angle analysis, support necessity assessment, tree supports vs linear supports, support density and pattern optimization, interface layers, breakaway supports, and post-processing implications.
Speed settings for different features (perimeters, infill, supports), acceleration and jerk optimization, vibration reduction, print time estimation, and mechanical limitation considerations.
Hotend and bed temperature optimization, temperature towers and calibration, cooling fan strategies, bridging and overhang cooling, material-specific thermal requirements, and thermal runaway protection.
Vase/spiral mode printing, top surface ironing, seam alignment and placement, pause and resume functionality, custom G-code scripts, multi-part sequential printing, and advanced modifier techniques.
Quality issue identification, stringing and oozing solutions, layer adhesion problems, dimensional accuracy issues, surface finish optimization, first layer troubleshooting, and systematic debugging approaches.
Automated calibration procedures, machine learning for parameter optimization, adaptive slicing algorithms, closed-loop quality control, sensor integration, and AI-assisted troubleshooting.
Slicer plugin development, custom G-code generation, post-processing script creation, API integration, printer-specific optimization, and workflow automation techniques.