Advanced Geometric Computing & Closed-Loop Machining for Quality Part Production
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This research theme focuses on the development of sophisticated geometric computing algorithms and innovative closed-loop machining platforms to create and validate effective process plans for manufacturing high-quality machined parts. Sub-themes cover cutter-part engagement geometry determination, on-line process re-planning, and off-line process/part validation. Collaborating with leading researchers and industrial partners, the aim is to enhance machining accuracy and efficiency through analytical formulations, robust localization techniques, and comprehensive geometric error evaluations.
Advanced Geometric Computing & Closed-Loop Machining for Quality Part Production
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Presentation Transcript
Theme III: Process Planning and Validation Theme Objective: To develop advanced geometric computing algorithms and novel closed-loop machining platforms to generate and validate process plans for producing quality machined parts. Sub-Themes: IIIA. Cutter-Part Engagement Geometry Determination IIIB. On-line Process Re-planning IIIC. Off-line Process/Part Validation
Role of Theme III in Overall Network IIIA Cutter-Part Engagement Geometry Determination IIIB On-line Process Re-planning IIIC Off-line Process/Part Validation Theme V Virtual Machining System Machined Part Process Plan Theme I Materials & Machining Models Theme II Machine Tool Error Models Theme IV Modular Machine Tool Controls & Sensors
Theme III Projects Theme Researchers: H.Y. Feng (UBC), P.H. Gu (Calgary), A.D. Spence (McMaster) Collaborating Network Researchers: Y. Altintas (UBC), P. Koshy (McMaster) Academic Collaborators: R. Fleisig (McMaster), D.Y. Xue (Calgary) Industrial Collaborators: F.-É. Delorme, S. Engin (Pratt & Whitney Canada), M. Desnoyer (Origin International), D. McPhail (Memex Automation) Four Master’s and four Ph.D. students
IIIA.1: Analytical Formulation of Cutter-Part Engagement from Z-Buffer Images Benefits: closed-form solutions accuracy & efficiency Proposed Methodology: Identify the boundary points Reconstruct the desired piecewise smooth analytical curve Current Progress: one MASc to start in September 2011
IIIA.2: Rough / Semi-Finish Machining Optimization The originally proposed B-rep (boundary representation) scheme – not robust enough. Mesh-based scheme is being explored.
IIIB.1: CNC and Inspection Hardware Integration To develop integrated inspection and GD&T decision making at the CNC machine tool GD&T processing with Origin software converted to embedded system Integration and feedback using Memex CNC control interface
IIIB.2: Modeling and Robust Localization of Free-Form Surfaces To develop new modeling techniques & localization methods for precision inspection of free-form surfaces. Main feature: considering both the reconstructed curve/surface and its uncertainty at different locations.
IIIB.3: Measurement Compensated Finish Machining To use inspection data to optimize heat treated / cast part finish machining tool paths. Tool path generation for compressor blade fillet.
IIIB.4: Surface Comparison and Tool Path Re-planning • To determine the geometric errors, analyze the errors and develop compensation methods for tool path re-planning. • Determine magnitude and distribution of errors. • Re-program the tool paths to compensate the errors.
IIIC.3: Comprehensive Geometric Error Evaluation of Complex-Shaped Parts • To fully automate the geometric error evaluation task of complex-shaped machined parts such as compressor, impeller, or turbine blades.
IIIC.4: Section-Specific Geometric Error Evaluation via Surface Scanning • To enable accurate evaluation of geometric errors at specific sections of the machined free-form parts from complete surface scans. • Current work: scanned noise reduction