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e-Design Methods and Tools to Facilitate Manufacturing Process Optimization

e-Design Methods and Tools to Facilitate Manufacturing Process Optimization. Douglas Eddy, Dr. Ian Grosse, Dr. Sundar Krishnamurty, Dr. Jack Wileden UMass Amherst. Project Status. Project Type: Continuing Research Thrust Area: Design Optimization Percent Complete: 3 0 %

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e-Design Methods and Tools to Facilitate Manufacturing Process Optimization

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  1. e-Design Methods and Tools to Facilitate Manufacturing Process Optimization Douglas Eddy, Dr. Ian Grosse, Dr. Sundar Krishnamurty, Dr. Jack Wileden UMass Amherst

  2. Project Status • Project Type: Continuing • Research Thrust Area: Design Optimization • Percent Complete: 30% • Start Date: 2/16/10 • Expected Completion Date: 12/31/10 • Funding • NSF Program Funds - 0% • Other Funds - 100%

  3. Problem Statement • Small sized industry partners do not always have internal engineering design capabilities. • A market opportunity exists for a more functional design. • The process could enable the collaborative transfer of e-Design knowledge.

  4. Approach and Methods • Three different potential design concepts identified: Cable on Pulleys Straps on Pins Roller Chain Option • Use the e-Design Ontology’s framework for: • FEA and ANSYS analysis • Design decision process • Design optimization

  5. Related Works • Drawbacks with current design: • Exhibits sway greater than 20” • Breakage of cables after about 350 cycles • Quick release can cause the mast to come crashing down • Competitor products: • Costly • Rise to the 30 feet height cantake significantly longer than the desired speed for the payload

  6. How Ours is Different • Design process utilizes high end design methods and tools to verify and validate. • Provides knowledge of the interoperability between two different CAD systems (Pro/E and Solid Works) • Technology Transfer of design knowledge from UMass e-Design team to an industry partner • Captures and maintains semantic information using UMass Amherst’s ontology-based e-Design framework

  7. Deliverables and Benefits • Deliverable: • A completely developed and validated design specification to enable production. • Benefits: • Ontology knowledge instance information • Sales in an initial estimated quantity of 1000 – 3000 • Creation of 50-60 jobs in the Precision Machining sector of the Western Massachusetts region

  8. Project Plan 1) Development of several proof of design concept prototypes – 3 months 2) Evaluation of design options using the e-Design framework – 1 month 3) Development and/or modification for optimization – 1 month 4) Identification of Critical Function Features, Quality Control Plan, FEA analysis, and Design for Manufacturability and Assembly (DFMA) – 1 month 5) Theoretical Design Validation to enable a prototype build – ½ to 1 month 6) Completion of prints/specifications for manufacturing – ½ to 1 month 7) Refinement and improvements based on results– 1 to 2 months 8) Reliability analysis – 1 to 1 ½ months 9) Create an ontology instance – 1 to 1 ½ months

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